Research Article

Research Trends and Performance of IIoT Communication Network-Architectural Layers of Petrochemical Industry 4.0 for Coping with Circular Economy

Table 10

Tabulated list of DOI/URL related to primary search and full text database.

YearsDOI/URLsLiterature surveys and their focused research realmsFocusing research area

PI4-IOT
2013[doi:10.1007/978-3-642-38427-1_113]Focuses on safety management by using Java web technology as well as structured query database programming technology.Java web technology
2017[doi:10.1109/JSYST.2017.2700268]Focused on industrial intelligent sensing ecosystem (IISE) by using wireless sensor networks.IoT-based intelligent sensors system
2016[doi:10.1016/j.cie.2016.08.008]Focused on mathematical programming to enable the firm to determine the better production plans.Programming for production plans
2016[doi:10.1016/j.eswa.2014.08.006]Identified the importance of innovation and technology in the petroleum and petrochemical industry.Innovation and technology
2009[doi:10.1145/1324892.1324935]Direct annotation of program code in digital production of ink.Programming
2016[doi:10.1145/2897839.2927393]Physically plausible oil paint simulator implemented on mobile hardware to be used to teach novice painters.Simulator application
2017[doi:10.1145/3131542.3140269]Digital painting frame through IoT talk.IoT application to digital manufacturing
2017[doi:10.1145/2936744.2936750]Focused on real watercolor and acrylic painting software.Operational analysis by IoT software
2016[doi:10.1108/JFC-04-2016-0021]Demonstrated types of internal control weaknesses and its impact that leads to fraud activities in an oil and gas company.Internal control and IoT
2012[doi:10.1109/GreenCom.2012.46]Tested behavior of things under internet web service architecture.Internet web service architectures
2013[doi:10.1109/GreenCom-iThings-CPSCom.2013.410]Focused on information technology of petroleum enterprises.IoT-based intelligent sensors system
2016[doi:10.1109/LATINCOM.2016.7811564]Focused on industrial wireless networks.IoT-based intelligent sensors system
2016[doi:10.1109/WARTIA.2014.6976401]Wireless sensor networks in measuring temperature of oil.IoT-based intelligent sensors system
2017[doi:10.1109/ICRAMET.2017.8253173]Wireless sensor used in monitoring oil and gas infrastructures, i.e., pipelines.IoT architectures
2017[doi:10.23919/ICACT.2017.7890184]IoT-based architecture is proposed for oil and gas industries to collect quick data from connected objects.IoT architectures
2017[doi:10.1002/9781119173601.ch31]Illustrated human-machine interface, industrial control system by internet web service architectures.IoT architectures
2017[doi:10.1109/ICRAMET.2017.8253159]Intelligent IoT accompanied by smart objects for reliable and efficient monitoring of oil and gas wells.IoT-based intelligent sensors system
2017[doi:10.1109/ICCNEA.2017.111]Focused on node microcontroller and main design software module to control petroleum well fuel pumps.IoT-based intelligent sensors system
2017[doi:10.1109/ICBDA.2017.8078802]Suggested a few important IoT architectures for monitoring the wells of oil field.IoT architectures
2017[doi:10.1109/IACC.2017.0078Appraised oil and gas purchasing order by IoT devices.IoT devices
2016[doi:10.1016/j.procs.2016.08.205]Focused to monitor noise and vibration under crude oil pipeline in real time by the Internet of Things (IoT).IoT architectures
2016[doi:10.1016/j.compchemeng.2016.03.006]Focused on application of IoT thinking and principles towards conceptualizing smart factory in petrochemical industry.IoT thinking and principles
2016[doi:10.1016/j.chaos.2015.10.030]Drafted the supervisor control and data acquisition architectures to help to drive the petrochemical industry.Supervisor control and data acquisition
2017[doi:10.1016/j.ifacol.2017.12.012]Focused on the smart network applications for obtaining the smart equipment automation to outline a cyber physical automation network.Smart network applications

PI4-CPS
2016[doi:10.1109/CYBER.2016.7574873]Focused on polymorphic wireless cybersystem in automation technology for maintaining plant material quantity.Polymorphic wireless cybersystem
2015[doi:10.1145/2818427.2818443]Articulated the CPS application and spatial user interface for collaborative petroleum well planning.CPS application
2016[doi:10.1145/2970030.2970032]Proposed a game theory algorithm to allocate the cybersecurity controls in the oil pipeline cyber physical system.Game theory algorithm
2016[doi:10.1145/2966986.2980091]Developed an intelligent cyberattack model to optimize the operational data of petroleum industry.Development of cyber physical model
2016[doi:10.1109/TCAD.2016.2584065]Used computer in designing the petroleum CPS and built a new CPS framework to compute the petroleum well connectivity.Development of cyber physical model
2017[doi:10.1109/ICCAD.2017.8203865]Build a cybersystem-based cross-entropy optimization technique to sense the oil leak in petroleum industry.Cybersystem improvement by technique
2016[doi:10.1016/j.chaos.2015.10.030]Proposed a cyber physical network security risk assessment approach to control the problem of SCADA (supervisor control and data acquisition) network in oil and gas industry.Cyber physical security risk
2017[doi:10.1016/j.ifacol.2017.08.347]Focused on CPS architecture standard to obtain the accessibility of process data for controlling production cost in oil and gas industry.CPS architectures
2017[doi:10.1016/j.cose.2017.04.005]Suggested few practices based on multilevel CPS in the China Petrochemical Corporation (SINOPEC).CPS architectures
2015[doi:10.1145/2737095.2737727]Used cybersensor nodes to monitor an area of petrochemical industry and suggested workers to wear safety equipment.Cybersensor nodes
2017[doi:10.1016/j.compchemeng.2016.12.012]shift to cpsSuggested few references and working principles of a CPS towards the petrochemical industry. Moreover, investigated the construction practice of a multilayers CPS in the China petrochemical companies.Application of CPS principles

PI4-VR
2016[DOI:10.1145/3013971.3013977]Designed an interactive somatosensory cloth system by using virtual technology to avoid the fire accidents in petroleum industry.Technological aspects
2014[doi:10.1109/Dynamics.2014.7005657]3D virtual model of equipment are built by CAD software based on data entry by petrochemical’s technological processes.Application of software for model development
2012[doi:10.3182/20120710-4-SG-2026.00182]Focused on fault monitoring and diagnostics model for virtually observing the polymer reactor in a petrochemical plant.Fault monitoring and diagnostics
2017[doi:10.1016/j.ifacol.2017.08.1921]Presented a Modelica-based software to simulate and develop a control of cyber physical systems in petrochemical industry.Application of software for model development
2007[doi:10.1145/1281500.1281523]Described the functionality and architecture of SATIN (a Java-based toolkit) that embraced a generalized architecture to knob pen input to ink industry.Java-based toolkit
2008[doi:10.1145/1477862.1477899]Developed a 3D visualization model of oil spill under consideration to tidal hydrodynamic model in oil refinery industry.Application of software for model development
2009[doi:10.1145/1559764.1559794]Developed an extensible 3D software for constructing an interactive and dynamic virtual of oil and gas pipeline system.Application of software for model development
2009[URL: https://dl.acm.org/citation.cfm?id=1655363]A simulation is conducted to virtually test the dynamic proportions of oil, water, and sand of heavy oil.Analytical simulation to conduct virtual test
2011[doi:10.1145/2087756.2087770]Explained an effectual technology, which visually simulates the ink diffusion process.Technological aspects
2011[doi:10.1145/2071639.2071645]Designed an architecture based on web-flex technology to build and monitor the virtual image of oil well.Technological aspects
2011[URL: https://dl.acm.org/citation.cfm?id=2025782]Proposed the sensors to assist the virtual monitoring of processes of lubricating oil.Virtual line process monitoring
2007[doi:10.1109/MCG.2007.141]Discussed about the execution of oil recovery projects over the past 10 years without using the concept of virtual reality architectures.Virtual reality architectures
2008[doi:10.1109/ICALIP.2008.4590213]Focused on an interactive and virtual reality-based education program to make the safety in oil field operations.Virtual reality-based education program
2010[doi:10.1109/CCIE.2010.163]Suggested to conduct the virtual experiment/simulation to optimize the parameters vs. sucker-rod pumping in oil field.Analytical simulation for parameters optimization
2013[doi:10.1109/NAVCOMP.2013.23]Stated the virtual-mixed reality technique for data acquisition considering automation and maintenance systems of oil and gas industry.Technique to improve virtual reality
2014[doi:10.1109/SVR.2014.27Stated about the required future skill of professionals for building the 3D model of an offshore oil platform.Application of software for model development
2015[doi:10.1109/EuMC.2015.7345837]Focused on hybrid three-dimensional inkjet additive manufacturing technique for the production of massive ink.Technique to improve virtual reality
2016[doi:10.1109/ETFA.2016.7733633]A model hybrid technique is proposed for virtual process monitoring in oil production industry.Virtual line process monitoring
2016[doi:10.1109/SVR.2016.38]A desktop virtual collaborative bridge between users and trainers for constructing the 3D of an offshore oil platform is presented.Application of software for model development
2016[doi:10.1109/PCICEurope.2016.7604641]Focused on virtual testing, plant design, and training of systems based on simulation tools for conforming automation in the processes of oil plants.Analytical simulation by software
2016[doi:10.1109/MCG.2016.60]Stated that VR is boon for multiple areas of oil industry and provides immense visualization in diverse working environments, online monitoring, and analysis.Analytical simulation by software
2011[doi:10.1016/j.pubrev.2011.04.006]Shared the gulf coast oil spill images through the social network website to make the audience aware with crisis of oil spill of gulf coast.Data sharing to social network website
2012[doi:10.1016/j.aasri.2012.06.030]Conducted their research on oil extraction engineering based on virtual reality and explained that production data query, information and display is possible due to virtual reality technology.Application of software for model development

PI4-I
2013[doi:10.1109/ICCA.2013.6564943]A data integration model is developed to calculate the oil flow in petrochemical units.Development of framework and data modeling
2015[URL: https://dl.acm.org/citation.cfm?id=2857190]Presented the data structure technique for integrating the oil spill production.Application of techniques/methods/algorithms
2015[doi:10.1145/2791060.2791067]Product line engineering model is proposed for typical subsea production systems for the utilization of oil and gas production fields.Development of framework and data modeling
2015[DOI 10.1134/S207020511507014X]Discussed about the perspective of the chemical engineering architectures to protect and integrate the petroleum-refining units.Architectures for improving plant production
2016[DOI 10.1007/s11356-015-6034-x]Integrated biofuel filtration and presented biofiltration process for tertiary treatment of oil refinery wastewater. It is suggested that integration of advanced oxidation processes is best for oil refinery and for reducing the wastewater.Integration of biofuel filtration
2012[DOI 10.1108/17506221211216553]Focused upon the integration of wood fuel trade and market integration between the Sweden and Estonia and found that their fuel markets are still far away from fully developed.Fuel market integration
2016[DOI 10.1108/EMJB-11-2015-0055]Investigated the architectures, which can influence the development and integrate of embryonic oil and gas industry of Cyprus. The work explored numerous forces and factors influencing the development of said industry.Focuses to architectures for improving plant production
2016[DOI 10.1108/IJQRM-02-2015-0026]Proposed a practical approach by integrating reliability centered maintenance technique considering the idea of reliability, availability and maintainability in performing the maintenance in the oil offshore industry.Application of techniques/methods/algorithms
2016[doi:10.1155/2016/31598]Presented the cluster of integrated principles for reconfigurable smart factory and developed an integrating IoT technology to address the technical challenges of smart industry.Integration principles
2017[DOI 10.1108/JSTPM-07-2016-0011]Analyzed factors/architectures for integrating the agro-food-energy-biochemical system in Thailand.Architectures for improving plant production
2017[DOI 10.1108/IJOPM-02-2016-0089]Examined the importance of organizational structure and supply chain integration for improving the operational performance of oil and gas (O&G) industry. The work discussed about the academic and practical donations of operations management and organizational studies under oil and gas supply chain architecture.Development of model and data modeling
2008doi:10.1109/WGEC.2008.51]Proposed integrated architectures and a decision support structure defining the oil production management system.Architectures for improving plant production
2010[doi:10.1109/CEE-SECR.2010.5783168]Proposed computer integrated manufacturing model for greater flexibility and data integration under each unit for progressing the process of oil and gas company.New technology
2017[doi:10.1109/ICUAS.2017.7991525]Integrated small unmanned aerial system (sUASs) under ICT for inspecting network components and to minimize the time for repair multiple oil and gas pipeline.ICT
2017[doi:10.1109/ICAICT.2016.7991832]An integrated architectural model is proposed to analyze the big business transaction data of oil and gas industry.Architectures for improving plant production
2015[doi:10.1016/j.aap.2015.08.016]Recognized best decision styles based on health, safety, environment, and ergonomics program of large oil refinery.Best decision styles
2016[doi:10.1016/j.ejor.2016.01.034]Developed a model/framework for crude oil scheduling in an integrated terminal-refinery system under vague supply chain.Development of model and data modeling
2016[doi:10.1016/j.ijggc.2015.12.018]Integrated and designed the optimal operations in oxy fuel plant under time-varying electricity prices.Design integration
2017[doi:10.1016/j.landusepol.2017.08.020]Examined the fundamental query in relation to agro commodity value chains and stressed on the vertical integration of petrochemical plants.Vertical integration
2017[doi:10.1016/j.jclepro.2017.03.105]Proposed a multiobjective mathematical model to integrate the up- and midstream components of crude oil supply chain along with environmental indicators.Development of model and data modeling

PI4-OD
2010[doi:10.1109/ICMSS.2010.5578485]Developed the high-level architecture simulation to support the distributed interactive simulation of petrochemical industry.High-level architecture simulation
2010[doi:10.1109/MED.2010.5547645]Used the theoretical knowledge of automatic control systems and a few principal characteristics of petrochemical process to optimize the ethylene reactor in the petrochemical industry.Theoretical knowledge
2016[doi:10.1109/ECC.2016.7810423]Optimized the operation of the global refinery H2 network by operational management of hydrogen networks.Operation management by hydrogen H2 networks
2017[doi:10.1109/TENCON.2016.7848003]Introduced strategy based on evolutionary algorithms to efficiently tackle the single-level production planning.Evolutionary algorithms application
2010[doi:10.1016/j.ces.2009.10.015]New industrial tools and techniques to solve the optimization problems of petrochemical process are demonstrated.Illustration of industrial tools and techniques
2012[doi:10.1016/j.eswa.2012.02.165]Artificial intelligence, concepts, methodologies, decision-making tools to solve the optimization problems of petrochemical process are presented.Artificial intelligence application
2013[doi:10.1016/B978-0-12-382165-2.00109-4]Implicated analytical techniques, i.e., infrared spectroscopy, Raman spectroscopy to help to further distinguish and differentiate the samples of paint.Infrared spectroscopy application
2017[doi:10.1016/j.jclepro.2016.07.078]Proposed cogeneration as the most significant optimization channel to reduce the energy consumption and greenhouse gas emission.Illustrated the cogeneration application
2017[doi:10.1016/j.jece.2017.04.003]Proposed regenerated spent catalyst scheme to a petrochemical styrene unit to eliminate the phenol from an industrial phenolic effluent.Regenerated spent catalyst scheme application
2017[doi:10.1016/j.compchemeng.2016.11.020]Applied a multiperiod mixed integer nonlinear programming to optimize the production planning of refinery and the ethylene unit simultaneously of a petrochemical industry.Multiperiod mixed integer nonlinear programming
2017[doi:10.1016/j.jclepro.2016.10.168]Applied group decision-making algorithms for evaluating sustainable industrial building for petrochemical projects.Group decision-making algorithms
2017[doi:10.1016/J.ENG.2017.02.011]Discussed about few elementary principles and key technologies for optimal production of oil in the process industry.Highlighted few elementary principles
2017[doi:10.1016/j.apenergy.2017.04.007]Developed novel virtual sample generation technique by using Monte Carlo and particle swarm optimization algorithms to enhance the precision of energy efficiency analysis based on small data set for a petrochemical process.Virtual sample generation application
2017[doi:10.15439/2017F365]Proposed an evolutionary modeling technique to optimize the lean operations and to recognize the future industry 4.0 models.Evolutionary modeling technique
2017[doi:10.1016/j.jenvman.2017.03.065]Developed petrochemical industry architectures model to optimize the air pollutant filtration technologies.Development of architectures model
2010[doi:10.1145/1864349.1864360]Stressed on identifying digital technologies to enables the petrochemical process effective.Digital technologies
2010[URL: https://dl.acm.org/citation.cfm?id=2433724]Used retrospective optimization (RO) algorithm to search well location and optimizing the well load under uncertainty.Retrospective optimization algorithm application
2013[doi:10.1162/EVCO_a_00064]Applied an infeasibility driven evolutionary algorithm towards optimizing the fifty-six problems of a well reservoir.Infeasibility driven evolutionary algorithm application
2013[URL: https://dl.acm.org/citation.cfm?id=2676117]Implemented a dynamic simplex interpolation algorithm for searching the oil well under uncertain data.Dynamic simplex interpolation algorithm application
2014[doi:10.1145/2597917.2597956]Applied the artificial network combined with genetic algorithm for predicting and set optimal price of international crude oil produced by a petrochemical firm.Artificial network with genetic algorithm application
2015[URL: https://dl.acm.org/citation.cfm?id=2874937]Proposed a merged energy optimization model for estimating the energy cost in oil sectors.Development of energy optimization modeling
2017[doi:10.1145/3059336.3059360]Utilized genetic algorithm for efficient production and procurement of biofuel to complete the demands of countless users under multiple factors.Genetic algorithm applications
2007[doi:10.1109/ICIT.2006.372715]Established the multiobjective scheduling optimization model for scheduling the crude oil vessel operations considering minimization of total time.Scheduling optimization modeling
2008[doi:10.1109/IJCNN.2008.4634275]Implemented neural networks technique to analyze the behavior of an oil production system and to determine the optimal values of gas injection rate and oil rate lifted from a production system.Neural network technique application
2009[doi:10.1109/IJCNN.2009.5179056]Implemented the neural networks, linear and sequential programming to analyze the behavior of an oil production system to find the optimal values of gas injection rate and oil rate in a two-oil-well system.Neural networks and linear and sequential programming application
2013[doi:10.1109/CICN.2013.139]Optimized the sale process and designed a business process reengineering scheme for effectively implementing customer relationship management in China lubricant enterprise.Fixed-sale process scheme
2017doi:10.1109/BigData.2017.8258496]Developed a petroleum analytics learning machine for optimizing the Internet of Things-related problems of oil field in refinery petroleum system.Petroleum analytics learning machine
2017doi:10.1109/BigData.2017.8258055Proposed novel network architectures to help predict the steam capacity of oil reservoir.Novel network architectures
2011[doi:10.1016/j.compchemeng.2011.01.030]Proposed an integrated multilevel simulation for solving the crude oil loading and unloading scheduling problems.Integrated multilevel simulation technique
2011[doi:10.1016/j.powtec.2011.08.030The grinding brass particle manufacturing process variables are optimized for paint and pigment industry.Optimize process variables
2012[doi:10.1016/j.jlp.2012.06.002]Developed a risk and condition-based maintenance to predict the time to provide maintenance to an oil transfer station.Condition-based maintenance predict
2014doi:10.1016/j.jlp.2014.04.002]Demonstrated the fault tree analysis approach to estimate the failure rate of a piping system of a process industry considering the chance of failure data.Fault tree analysis approach
2014[doi:10.1016/S1570-7946(06)80348-2]Proposed an integrative optimization technique for evaluating the refinery operations of petrochemical plantsIntegrative optimization to refinery operations
2014[doi:10.1016/j.biortech.2016.04.077]Evaluated the optimum bio gas production from solid-state oil palm biomass under waste solids contents by considering total solids (TS) contents, feedstock to inoculum (F : I) ratios and carbon to nitrogen (C : N) ratios.Optimum biogas and oil production
2015[doi:10.1016/j.ejor.2015.03.002]Demonstrated a dynamic programming technique to solve multiperiod multiproduct optimization problem of refinery petroleum system.Dynamic programming technique
2015[doi:10.1016/j.proche.2015.10.022]Proposed a list of architectures to evaluate the relative efficiency of the distillation unit flow sheets in refinery petroleum system.Identified architectures
2015[doi:10.1016/j.egypro.2015.07.724]Performed the modeling of biomass residual optional fuels and suggested it as a potential alternative fuel and valuable chemical feedstock. Two-level factorial design of experiment is used for predicting the optimal condition for maximizing the biooil content in it.Biomass modeling
2016[doi:10.1016/j.trpro.2016.02.045]Established a mixed integer linear programming model to evaluate the location for setup a waste cooking oil system in China under both economic and environmental concern.Mixed integer linear programming model
2016[doi:10.1016/j.jclepro.2016.01.033]Developed gas emission optimization modeling to help to recognize the best gas mitigation technology with minimum cost.Gas emission optimization modeling
2016[doi:10.1016/j.partic.2016.04.001]Implicated response surface technique to optimize the variables of fish oil refinery process for improving fish oil encapsulation efficiency.Optimized fish oil refinery process
2016[doi:10.1016/j.lwt.2016.02.025]Response surface technique towards optimizing the encapsulation of coffee oil production under multiple process variables is presented.Coffee oil optimization
2016[doi:10.1016/j.cjche.2016.04.050]Implemented a particle swarm optimization algorithm for solving the scheduling problem of numerous light load oil well simultaneously under demand variables.Particle swarm optimization algorithm for scheduling
2016[doi:10.1016/j.indcrop.2016.06.017]Optimized the process variables of oil recovery from moringa seeds by using central composite rotatable technique.Optimized variables of oil recovery
2016[doi:10.1016/j.proeng.2016.06.509]Optimized the multiple parameters of methanol castor oil for the synthesis of fatty acid methyl ester (FAME).Optimized multiple parameters
2016[doi:10.1016/j.compchemeng.2016.03.028]Proposed a model towards finding the optimal configuration of oil production firm and the energy infrastructure.Configuration of oil production
2016[doi:10.1016/B978-0-444-63428-3.50365-9]Conducted the thermodynamics and economic analysis to find the optimum operating conditions for two actual crude oil distillation unitsOptimized variables of crude oil distillation units
2017[doi:10.1016/j.seppur.2017.04.044]The response surface technique for optimizing the multiple deodorization parameters for chemical refining of seed oil is presented.Optimized multivariables of oil production
2017[doi:10.1016/B978-0-444-63965-3.50210-5]Applied a subjective data analysis technique for optimizing the planning and scheduling operations of crude oil refineries.Subjective data analysis technique
2017[doi:10.1016/j.jclepro.2017.04.161]Utilized a central composite factorial design technique to set up an experimental plan for processing variables of mortar mixtures and used to mix byproduct oil of oil refinery industry.Central composite factorial design
2017[doi:10.1016/j.jclepro.2017.06.240]Implemented a response surface methodology technique for optimizing the coagulation and flocculation of paint composed by wastewater.Response surface technique application
2017[doi:10.1016/j.marpolbul.2017.09.012]Applied an advanced oil spill modeling upon an offshore oil spill model to search the allocation of response crews for cleaning up an offshore oil spill.Advanced oil spill modeling
2017[doi:10.1016/j.molliq.2017.09.007]Applied the Taguchi experimental design and emulsification technique to determine the appropriate variables for fast manufacturing of garlic essential oil nanoemulsions.Taguchi experimental design application
2017[doi:10.1016/j.fuel.2017.07.115]Stated that the integration of technologies with advanced feed-stocks system helps to meet the future environmental criteria and optimizes the process variables of oil industry.Optimized the process variables
2017[doi:10.1016/j.rser.2016.08.053]Conducted the systematic literature reviews on the biooil supply chains and suggested the echnoeconomic models, which assisted in optimizing the upstream forest biomass to biooil supply chains.Biooil supply chains
2017[doi:10.1016/j.jclepro.2016.11.077]Utilized the central composite design for optimizing the process variables of palm oil mill.Central composite design

PI4-ERP
2013[doi:10.1109/MIS.2013.112]Developed and simulated the human resource-based model for assisting the human resource planning problem under a large petrochemical industry.Development of models and mathematical modeling
2017[doi:10.1109/AIM.2017.8014250]Path for the firefighter robots in large petrochemical environments is planned by way of feeding big computation memory in firefighter robots.Path planning
2010[doi:10.1145/1785414.1785448]Discussed few benefits of ERP software to evaluate the drilling location of oil well.ERP software benefits and application
2013[doi:10.1162/EVCO_a_00064]Utilized the genetic algorithms technique to estimate the optimal quantity of gas rejected from each well for obtaining the maximize amount of oil extracted. Moreover, developed a model to help to generate a plan for future problems related to gas injection.Technique and application to improve ERP capability
2017[doi:10.1145/3166094.3166096]Demonstrated the applications of machine learning process for modeling and increasing the precision of planning and economy for digital oilfield processes.Machine learning process
2013[doi:10.1109/SBESC.2013.10]Illustrated the resource planning technique, which established the connectivity and served the information between the two oil and gas refineries.Technique and application to improve ERP capability
2014[doi:10.14257/ijca.2014.7.3.36]Applied ERP to analyze the cloud computing data for providing the rapid technological advancements to industry.ERP to analysis the cloud computing data
2016[doi:10.1109/ICIMTech.2016.7930329]Stated the benefits of ERP for managing the operational performance of palm oil plantation companies.ERP software benefits and application
2007[doi:10.1016/j.enpol.2006.01.028]Investigated an ERP stochastic dynamic growth evaluation model to find out the corruption level in oil supply chains.ERP modeling and evaluation
2012[doi:10.1016/j.phpro.2012.02.319]Proposed geographical/surface model based on information technology to improve the ERP capability of petroleum engineering technologies.Technique-based modeling to improve ERP capability
2015[doi:10.1016/j.compchemeng.2015.05.013]Applied chemical process based on neural network model for predicting the faults in chemical process. Furthermore, the same network assisted in planning the factors to diagnose the further faults.Development of models and mathematical modeling

PI4-PC
2009[doi:10.1109/CCDC.2009.5194695Discussed few connections of web servers and database information system to add value for controlling the petrochemical plant process globally.Web servers and database information system
2010[doi:10.1109/ICCAE.2009.64Proposed the mathematical model of micro-electronic-mechanical systems based on temperature sensor to sense the temperature of the petrochemical industry.Development of models and mathematical modeling
2011[URL:http://ieeexplore.ieee.org/document/6017826/]Prepared a list of significant factors to control the engineering projects related to South African petrochemical industries.Architectures for improving plant production
2013[doi:10.1109/IcConSCS.2013.6632017]Proposed an internet technology-based reactor design to enhance the efficiency of chemical processes.Internet technology in design
2016[doi:10.1109/PCICON.2015.7435127]Suggested petrochemical plants to embark towards monitoring technologies to enhance the reliability factors and to diminish the total installed costs of electrical trace heating systems.Monitoring technologies
2017[doi:10.1109/ADCONIP.2017.7983838]Focused on the measurement methods/techniques and models specifically to control the advanced processes of industrial processes.Method/technique/approach application to control plant
2015[doi:10.1016/j.jlp.2013.10.009]Discussed few factors to recognize the significant security practices and measures for controlling the systems of petrochemical industrialArchitectures for improving plant production
2017[doi:10.1016/j.jprocont.2017.11.005]Discussed few merits of exergy-based fault detection method over energy-based detection scheme. Moreover, the characteristics of exergy-based fault detection model are discussed to petrochemical processes.Energy controlling
2012[doi:10.1145/2401603.2401685]Proposed multiagent systems to enable the multiobjective simulation of offshore oil and gas production.Multiagent-based multiobjective simulation
2007[URL: https://link.springer.com/chapter/10.1007/978-3-540-73435-2_17]Applied the neural-based techniques for injecting the optimal ink from nozzle during its production.Method/technique/approach application to control plant
2007[DOI:10.1007/s11434-007-6007-7]Discussed a few oil and gas discharge and controlling architectures for accumulating oil in Sichuan Basin area.Development of architectures
2009[doi:10.1007/s11814-009-0264-x RAPID COMMUNICATIFocused on loss control management system to enhance the safety and green management in the petrochemical industries.Loss control system
2014[doi:10.1134/S1064230714030095]Proposed a mathematical model to oil refinery system to eliminate the organic acids from oil fractions.Development of models and mathematical modeling
2015[URL:10.1007/s10556-015-0038-8]Proposed an advance electrochemical technique for controlling the process parameters of processing liquids in oil industry.Methods/techniques/approach application to control plant
2016[doi:10.1134/S0020168517140072]Discussed few features to be considered during evaluating the analytical techniques for analyzing the catalysts of the petrochemical industry.Methods/techniques/approach application to control plant
2016[doi:10.1108/JFC-04-2016-0021Demonstrated numerous types of internal weaknesses in architectures by empirical research that leads to fraud activities in an oil and gas company.Architectures for improving plant production
2017[doi:10.1108/02656710610664613Developed a model by integrating the accidents and failures to assess the chances of accidents and failures in oil and gas production activities.Modeling to control accidents and failures
2012[doi:10.1109/ICCSE.2012.72]Presented a technique by amalgamating fuzzy and signal strength indicators to improve the reliability of the system and to diminish the handoff overheads at same time.Method/technique/approach application to control plant
2013[doi:10.1109/PESMG.2013.6672710]Proposed mathematical models to evaluate the operational sequences for controlling industrial load.Development of models and mathematical modeling
2014[doi:10.1109/ICRA.2014.6907329]Discussed about two scheduling problems related to the logistics of crude oil. Theoretical modeling-based scheduling indictors are formulated to control and to solve logistic problem of crude oil.Scheduling programming
2015[doi:10.1109/ICMECH.2015.7083966]Proposed a design of electronic controller for controlling the air flow arrangement in ventilation and air-conditioning systems in the paint industry.Design and application of physical or soft controllers
2015[doi:10.1109/RTSI.2015.7325158]Improvement in industrial network of an oil refinery to result improved performance and more flexible connectivity and integration with the commercial network is presented.Improvement in industrial network
2017[doi:10.1109/CDC.2017.8263957]Compared the distributed extremum algorithm with data-driven optimization methods to assess the effectiveness of distributed extremum algorithm for solving gas-lifting problem in oil production is presented.Algorithm/programming
2017[doi:10.1109/TIMA.2017.8064814]Presented a design of decentralized system to efficiently control the configuration of petrochemical industry.Configuration of plant system
2017[doi:10.1109/TSMCC.2007.897339]Focused on an application of hybrid petri internet for modeling the crude oil operations for controlling the oil refinery process.Hybrid internet for modeling
2017[doi:10.1109/MIAS.2017.2739827]Developed bench and site acceptance testing technique for assessing the safety and controlling of operations in oil refinery.Method/technique/approach application to control plant
2016[doi:10.1016/j.measurement.2013.08.032]Combined a new gas injection technique with zero dimensional reactor for monitoring the gasification processes, i.e., fuel conversion, composition, during oil refinery.Monitoring of gasification processes
2016[doi:10.3182/20130902-3-CN-3020.00143]Proposed few plant control principles to improve the capacity of the produced water treatment (PWT) in offshore oil and gas production processes.Plant control principles
2016[doi:10.1016/j.jclepro.2015.11.023]Proposed an expert-based mathematical model for determining the optimal synergy between the location of fixed refineries and mobile refineries via considering a few factors, i.e., capital, transportation, and operational costs.Development of models and mathematical modeling
2016[doi:10.1016/j.proeng.2016.07.627]Developed an evolutionary algorithm for controlling the quality of ink with respect to three concerns, i.e., microgeometry parametric analysis, analyzing the coverage, and the strength.Algorithm/programming
2016[doi:10.1016/j.jenvman.2016.07.027]Proposed a membrane filtration technology to minimize the oil refinery hazardous matters, which affects the onsite pilots in petrochemical paints.Technological advancement
2017[doi:10.1016/j.cej.2017.08.081]Developed a 3D Fe foam technique to extract the water from oil as wastewater with oil content results in pollution.Method/technique/approach application to control plan
2017[doi:10.1016/j.oceaneng.2017.11.052]Demonstrated a modified Smith fuzzy controller to control the temperature of oil-replenishing apparatuses in case of deep-sea hydraulic system.Design and application of physical or soft controllers
PI4-DA
2017[doi:10.23919/CISTI.2017.7975733]Conducted the simulations by Aloha software to analyze and recognize responsible factors, physically affecting the operations of petroleum-refining process.Data analysis by simulations
2011[doi:10.1016/j.ress.2011.07.010]Presented a literature report and conducted statistical analysis on all the incidents of Greek petrochemical industry from 1997 to 2003. Few factors are highlighted with remedies to avoid future accidents.Literature review
2013[doi:10.1016/j.jclepro.2011.11.052Suggested three kinds of technologies and strategies, i.e., wait and see, in-process focused, and all round strategies to be used by further industries for diminishing GHG emissions.Technologies and strategies
2014[doi:10.1016/j.psep.2013.03.002Developed a model based on resilience engineering practices accompanied by data envelopment analysis technique to assess the behavior of resilience engineering in petrochemical plant.Resilience-based modeling
2015[doi:10.1016/j.psep.2014.05.001Applied fuzzy fault tree analysis technique to evaluate the significant hazards, i.e., fire, toxic gas, and explosion, of petrochemical process industry.Application of technique/methods to analyze process
2015[doi:10.1016/j.jlp.2015.06.002Applied the data envelopment analysis technique on resilience engineering for determining the managerial factors in a petrochemical plantApplication of technique/methods to analyze process
2016[doi:10.1016/j.atmosenv.2016.07.006Utilized strategies to analyze the upshots of volatile organic compounds on the gigantic petrochemical complex.Application of strategies
2016[doi:10.1016/j.esd.2016.07.006Measured the performance of a Thailand upstream petrochemical industry with respect to several factors, i.e., energy, environmental, and economic cost.Performance measurement
2016[doi:10.1016/j.infrared.2016.03.018Implemented data envelopment analysis technique to a process engineering-based model for analyzing the performance of process engineering petrochemical plant.Application of technique/methods
2017[doi:10.1016/j.jclepro.2017.12.005Proposed the mathematical programming by mass integration of equations to minimize the wastewater production in the Brazilian petrochemical industry.Programming
2017[doi:10.1016/j.energy.2017.01.091Proposed ideas and principles to enhance the efficiency of waste oil by bending hydrogen recovered by enriched biodiesel. The application of proposed waste oil is presented for driving the compression ignition engine.Ideas and principles
2017[doi:10.1016/j.applthermaleng.2016.12.081]Explored a machine learning integrated interpretative structural model for analyzing the energy and carbon emissions and estimating the green improvements in petrochemical systems.Machine learning integrated
2013[doi:10.1016/j.apergo.2013.02.003]Analyzed the compatibility of standardized procedures of oil refinery plant by control room and suggested few guidelines for ease of examining the actual extent of sociotechnical systems (STS) of oil refinery plant.Standard principles and procedures
2011[URL: https://dl.acm.org/citation.cfm?id=2431718]Applied a multiattribute utility approach to evaluate the best port tanker operations under oil spill risk parameters.Application of technique/methods
2012[URL: https://dl.acm.org/citation.cfm?id=2430216]Proposed oil refinery simulation models for investing right money for expanding oil company’s business swiftly and accurately.Simulation models
2014[doi:10.1145/2576768.2598319]Applied fuzzy system programming on genetic programming for building fuzzy classification model to identify the seismic patterns and the rock types in any regions without opening oil wells.Fuzzy classification modeling
2015[doi:10.1145/2695664.2695891]Developed accident-based model of offshore oil industry to analyze the safety and accidental risk in offshore oil industry.Accident-based model
2016[doi:10.1145/2948992.2949006]Insights of evolutionary algorithms approach are illustrated towards tackling the oil and gas industry. Eventually, it resulted in the shifting of the interest of geosciences community to algorithm applications towards maintaining oil and gas fields.Application of evolutionary algorithms
2011[URL: http://ieeexplore.ieee.org/document/5936957/]A rotor dynamics analysis on the monitored vibration data of induction motors to control refinery process in petrochemical industry is demonstrated.Vibration monitoring
2014[doi:10.1049/cp.2014.0534]Advised the petrochemical industry to adapt the International Electrotechnical Commission 61850 protocols for fast analysis of data, controlling, and monitoring functions.International Electrotechnical Commission 61850 protocols
2015doi:10.1109/SIEDS.2015.7117014Analyzed that how rail transformation system besides other logistic systems facilitates the expanding of oil refineries and compensates the need of current domestic oil system.Exploration of logistic system for oil industry
2015doi:10.1109/IEOM.2015.7093724Advised petrochemical industry to preserve the general management cum technical architectures to avoid the chances of failure and accidents.General management and technical architectures
2016[doi:10.1109/INDUSCON.2016.7874501]Proposed a simulation model to generate the online schedule of ships. The prepared schedule is compared with a schedule referred by hybrid technique implemented on a ship scheduling model.Simulation model
2009[doi:10.1016/S1570-7946(09)70302-5]Developed a software to simulate and analysis the mass balance data of reconciliation process of oil refineries.Simulate software
2010[doi:10.1016/j.enpol.2009.11.021]Applied the life cycle price approach to analyze a municipal solid waste incineration power plant project considering the acquisition, maintenance, fault, and operating costs.Application of technique/methods
2011[doi:10.1016/j.desal.2010.07.059]The feasible processes out of three such as regeneration, reuse, and recycling are evaluated by considering three factors, i.e., the water hardness, suspended solid, and chemical oxygen demand for minimizing the waste water consumptions.Analysis feasibility of processes
2013[doi:10.1016/j.jclepro.2013.02.021]Implemented a data envelopment analysis technique to fruitfully evaluate the energy efficient practices to be implemented in the vegetable oil production industry.Application of technique/methods
2014[doi:10.1016/j.jlp.2014.05.006]Applied hybrid approach constituted by combining ANN, fuzzy, and regression techniques to estimate the project completion time for oil refineries.Application of technique/methods
2016[doi:10.1016/j.procs.2016.08.205]Designed and proposed an antitheft system to block the stealing of crude oil during loading to tankers and trains under different scenariosAntitheft system application
2016[doi:10.1016/j.retrec.2016.07.005]Proposed a descriptive statistical method under an econometric model to analysis the financial load of oil refinery firm and suggested improvement in annual income of Delta Air Line logistic system.Application of technique/methods
2016[doi:10.1016/j.jenvman.2016.04.056]Advised the oil and gas industry to maintain the future supply chain under key four supply chain functions, i.e., production management, supplier management, product stewardship, and logistics management.Operation management
2016[doi:10.1016/j.proeng.2016.07.087]Worked to utilized chemical and mineral additives for advancing the quality of the concrete, which are supported by oil refinery waste. Their simulation results prove that the byproduct produced by oil refinery industry can be treated as an additive material for producing the concrete materials.Simulation model
2016[doi:10.1016/j.ijggc.2015.12.019]Demonstrated technoeconomic analysis by considering six setups of carbon capture for defining the most economic setup pertaining to the implementation of future MEA carbon capture plant.Technoeconomic analysis
2017[doi:10.1016/j.rser.2016.10.026]The previous price of oils is analyzed and the impacts of numerous factors on it are examined. It is concluded that the recent thrust in oil prices have not created any chief impact on renewable energy sectors.Price (economic) analysis
2017[doi:10.1016/j.jclepro.2017.03.222]Applied stochastic frontier analysis on the true fixed effect model to estimate the production efficiencies of ten largest oil companies of world.Stochastic frontier analysis
2017[doi:10.1016/j.eswa.2017.06.014]Proposed a functional network intelligent clustering system for grouping and predicting the pressure-volume-temperature properties of black oil.Functional network intelligent clustering system
2017[doi:10.1016/j.applthermaleng.2017.03.051]Developed and implemented a novel DEA model to compute the energy and environmental efficiency for reducing the carbon dioxide emissions in case of ethylene industries.Data envelope system modeling
2017[doi:10.1016/j.ress.2017.05.036]Proposed a novel human factor analysis based on the classification system model for the oil and gas industry to categorize the accidents of oil and gas industry.Human practice analysis
2017[doi:10.1016/j.egypro.2017.03.1766]Conducted systematic review based on two hundred fifty manuscripts related to carbon capture and storage (CCS) technology. A technoeconomic analysis to find the optimum CCS technology for reducing the emission of CO2 from iron and steel, cement, and oil-refining industries is presented.Technoeconomic analysis
2017[doi:10.1016/B978-0-12-803581-8.00848-1]Demonstrated the application of structural integrity analysis to finalize the offshore structures, mobile drilling units and pipelines for oil extraction field.Applications of structural integrity analysis
2017[doi:10.1016/j.jngse.2016.12.028]Conducted literature survey in the field of energy sectors to define historical strategies/policies. For the same information is extracted and observed by expert panel opinions to project potential alternative in futures.Literature survey report

PI4-N
2017[URL:https://dl.acm.org/citation.cfm?id=2348214]Proposed a theoretical model with a simulation technique to identify the best strategy for petrochemical logistic network.Models and simulation technique for logistic network
2013[doi:10.1109/ICICES.2013.6508345]Analyzed numerous critical parameters, i.e., temperature, current, viscosity, and pressure on sensor networks for controlling the refinery industry.Sensor networks to the refinery
2008[doi:10.1109/ICINIS.2008.184]Compared Zigbee technology with wireless communication technology under petrochemical industry application field and it is concluded that wireless network technology ought to be substituted by Zigbee technology.Zigbee technology
2008[doi:10.1109/ICCCE.2008.4580831]Applied neural network technique for forecasting the demand of spare parts in process industries. The results of applied neural network are compared with results refereed by two conventional techniques. The neural network technique is declared suitable for forecasting the demand of spare parts for all process industries.Applications of techniques to network problems
2008[doi:10.1109/PICMET.2007.4349385]The significant network architectures that helped to bring the innovation in Japan petrochemical industry are highlighted.Network architectures
2009[doi:10.1109/CCDC.2009.5194695]Discussed about the advantage of miniadapter network for creating the evident communication mechanism between web server application and control program.Miniadapter network
2010[doi:10.1109/IEEM.2011.6117941]Proposed the network topology evaluation technique for recognizing the root causes of an output and input signal variability in petrochemical industry.Network topology technique
2011[URL:http://ieeexplore.ieee.org/document/5936960/]Suggested fault current limiter network to avoid the power breaking causes due to short circuit for advancing network applications under industrial domain.Fault limiter network
2016[doi:10.1109/MCOM.2016.7588225]Proposed a wireless sensor network based on object identification technique to detect the toxic gas field in large scale petrochemical plants.Object identification technique
2017[DOI:10.1109/ICCChinaW.2015.7961605]Demonstrated the application of wireless sensor networks system towards monitoring CO2 concentrations in equipment in large scale petrochemical plants.Application for monitoring processes
2017[doi:10.3390/app7101072]Organized few relevant literature surveys under context of IoT networking, monitoring, and controlling and suggested future researchers to focus on IoT networking control.Networking monitoring and controlling
2017[doi:10.1109/IIAI-AAI.2017.164]Proposed text mining network for benchmarking the green performance indicators in petrochemical industries. The evaluated indicators helped to maintain the pollution-free environment in petrochemical industry.Mining network
2009[doi:10.3182/20090712-4-TR-2008.00128]Proposed a mathematical model for the design of an optimal network for connecting the multisite petrochemical systems under uncertain data.Models and mathematical modeling
2012[doi:10.1016/j.ssci.2010.02.024]Proposed a model that has included factors at multilevel network to materialize the quality of equipment under uncertainty for petrochemical industry.Models and mathematical modeling
2017[doi:10.1016/j.energy.2017.10.017]Proposed a cosine similarity learning network to help to predict the effectual process parameters for petrochemical systems.Cosine similarity learning network
2008[doi:10.1145/1385989.1386002]Suggested to introduce thousands of sensors and gauges with equipment to map many physical and chemical characteristics of oil and gas starting from underground reservoirs to oil distribution channels.Deployment of sensors and gauges on equipment
2010[doi:10.1145/1878022.1878023]Proposed a novel fusion-driven routing solution towards improving the coverage, connectivity, privacy, and security in multimedia wireless sensor networks.Network privacy and security
2010[doi:10.1145/1795194.1795204]Proposed a lightweight geographic opportunistic network technique to solve the routing problem in complex strip network during monitoring oil pipelines.Network improvement technique
2014[doi:10.1145/2684103.2684105]Illustrated the applications of a multiagent-based model on oil refinery network node for eliminating the communication link breakdown problems on forward networking.Multiagent and network nodes
2011[doi:10.1007/s11814-011-0087-4]Reviewed two techniques, i.e., water pinch technology and mathematical optimization programming, and applied them to set up a petroleum plant network.Network improvement techniques
2007[doi:10.1109/ICCA.2007.4376830]Proposed a downhole permanent sensor network for monitoring the temperature and pressure of oil wells.Sensor network for monitoring
2015[doi:10.1109/INFRA.2008.5439574]Proposed a bunch of benchmarking strategies to evaluate a three network model of an oil refinery supply chain.Models and mathematical modeling of network
2008[doi:10.1109/ICSMC.2008.4811576]Conducted comparison between integrated neural network, Gaussian mixture model and Markov model for monitoring the bushing condition of motors used in the petrochemical industry.Neural network, Gaussian, mixture, and Markov modeling
2008[doi:10.1109/ETFA.2008.4638521]Suggested few principles to locate the wireless sensor network in Gullfaks offshore oil and gas in the North Sea.Principles of networking
2008[doi:10.1109/SENSORCOMM.2008.111]Suggested that the designs of wireless sensor nodes must be based on ultrasound and infrared light to be deployed on offshore oil and gas fields.WSN nodes
2009[doi:10.1109/WFCS.2010.5548624]Illustrated the utilization of wireless sensor network (WSN) technologies to onshore oil well monitoring and the network simulator (NS-2) is suggested for monitoring the onshore oil wells.Technologies and network simulators
2010[doi:10.1109/AINA.2010.18]Prepared a report under the application extent of WSN applications to oil and gas operations, refineries, petrochemicals, and underwater development platforms.WSN applications
2010[doi:10.1109/AINA.2010.175]Specific focuses on the security issues surrounding WSNs of oil and gas industry is highlighted and suggested to use sensors for advancing safety and operational performance.Network privacy and security
2013[doi:10.1109/TCST.2013.2288519]Advised the outliers of the wireless sensor networks to be implicated for robust design in oil refinery application.Outlier design of WSN
2013[doi:10.1109/MCOM.2013.6495774]Illustrated few applications of ultrawide band sensor networks to oil and gas extraction fields.Ultrawide band WSN
2013[doi:10.1109/ICIT.2013.6505902]Developed mathematical modeling by considering evident characteristics of wireless channel to evaluate oil and gas refinery plants.Models and mathematical modeling of network
2014[doi:10.1109/JIOT.2014.2313459]Standard techniques and procedures of plant designers are illustrated, which considered the wireless network coverage, deployment and layout evaluation.Technologies and network procedures
2014[doi:10.1109/PCICBRASIL.2014.6968883]Analyzed the online partial discharge scheme for monitoring the condition of high voltage networks in oil and gas industry.Voltage networks
2014[doi:10.1109/RoEduNet-RENAM.2014.6955302]Proposed an intelligent agent-based network to preserve and escalate the network performance in oil industry.Intelligent agent network
2016doi:10.1109/ICRAMET.2016.7849577]Illustrated the application of wireless sensor networks for monitoring the oil and gas linkages.WSN for monitoring
2016doi:10.1109/AUS.2016.7748070]Applied RBF neural networks modeling for mapping the depth of pipeline.Models and mathematical modeling of network
2016[doi:10.1109/ICSGRC.2015.7412475]Proposed a novel cascade forward neural network to segregate the quality of agar wood oil with respect to grades.Novel cascade neural network
2017[URL: http://ieeexplore.ieee.org/document/7944830/]Critical nodes of networks are ranked in order to save energy of the group-based IWSNs (industrial wireless sensor networks) working in oil and gas fields.Multiagent model to network nodes
2010[doi:10.1016/j.psep.2010.06.004]Proposed an advanced approach, i.e., security risk factor table (SRFT) and a stepped matrix procedure (SMP) for assessing the security networks for oil and gas industry.Network improvement techniques and network privacy
2011[doi:10.1016/j.jlp.2011.05.011]Applied strong network principles to rank the oil and gas industries among other industries, i.e., IT, electricity.Network principles
2011[doi:10.1016/j.resconrec.2011.02.004]Implemented integer linear programming technique on an industrial byproduct exchange network to maximize the refinery’s profit and to reduce the byproduct generated by palm oil industry.Network improvement techniques
2016[doi:10.1016/j.worlddev.2011.07.012]Proposed evident models to analyze the processes of three local oil palm production networks in Indonesia.Models and mathematical modeling of network
2016[doi:10.3182/20130522-3-BR-4036.00010]Applied multiagent system consists of statistical process control technique to monitor the oil production system, which sends alerts as necessary.Multiagent system network
2016[doi:10.1016/j.physa.2014.06.055]Proposed weighted oil trade network models by exploiting the trading data of 2002 to 2011 for estimating the oil trading in communities, cities, and countries.Weighted oil trade network
2016[doi:10.1016/j.jclepro.2014.01.019]Suggested that the palm oil manufacturing units should boot up sensor network for effectively satisfying globally rising future perspectives palm oil demand.Intelligent sensor network application
2016[doi:10.1016/j.egypro.2016.12.036]Build a production system-oriented network model to estimate the international oil trading.Models and mathematical modeling of network
2017[doi:10.1016/j.rcim.2016.12.007]Proposed integrated oil pipeline monitoring and incident reduction system, which can effectively monitor the data of oil carrying pipelines to avoid accidents.Network for monitoring and incident reduction
2017[doi:10.1016/j.apenergy.2017.10.051]Proposed a network-based mathematical model to assist in manufacturing hydrogen by using biogas supply chain to be used in oil industry.Models and mathematical modeling of network
2017[doi:10.1016/j.exis.2017.04.007]Implemented sensor network to search the Vietnamese upwelling area during monsoon under normal conditions as the best choice for producing oil wells.Intelligent sensor network application
2017[doi:10.1016/j.psep.2017.08.015]Proposed a fuzzy Bayesian network technique based on fuzzy data for analyzing the risk of failure under production system of process-based oil and gas industries.Fuzzy-technique-based network

PI4-IDM
2014[doi:10.1109/PCICEurope.2014.6900060]Intelligent electronic devices applications under petrochemical plants are highlighted. It is concluded that intelligent electronic devices helped the petrochemical companies in monitoring, controlling, metering, protecting, communicating, etc.Implementation of electronic devices
2013[doi:10.1016/j.jlp.2013.10.012]Proposed a model to analyzes the data of all security risk practices under petrochemical infrastructure and operations.Security risks
2011[doi:10.1145/2068816.2068828]Proposed a cellular data technology to communicate information from oil field area to other locations.ICT
2013[doi:10.1145/2529975]Applied ginseng algorithms to build a wireless monitoring system for monitoring and controlling the production practices in oil refineries, chemical plants, and factories.Wireless monitoring control
2013[URL: https://dl.acm.org/citation.cfm?id=2557686]Designed an intelligent response information system to be deployed on oil logistic fields for the purpose of circulating information into each unit of industry under unexpected situations.Intelligent information
2016[doi:10.1145/3080845.3080849]Proposed intelligent production architectures for evaluating oil wells after analyzing the data collected from past literature surveys.Intelligent ICT
2016[doi:10.1108/JKM-07-2016-0262]Established the connection between knowledge management and big data for modeling the case of oil and gas industries in order to improve the decision-making power of industry.Knowledge and big data management
2016[doi:10.1108/ITP-08-2016-0198]Proposed software package to analyze the operational issues concerned towards improved performance, innovation and continuous improvement in oil and gas organizations.ICT software package
2014[doi:10.1109/TENCON.2013.6719046]Proposed a radio frequency identification-based patrol management system for petrochemical industry for enhancing the efficiency and capacity of maintenance systemMaintenance system
2017[doi:10.1016/j.techfore.2017.09.021]Illustrated local factors related to the application of information communication technology for safely operating petroleum industry.ICT
2017[doi:10.1016/J.ENG.2017.02.012]Demonstrated smart manufacturing attempts for connecting oil-refining and petrochemical sector into information-driven environment. A cluster of few factors are identified to model future smart chemical and petrochemical manufacturing processes.Smart manufacturing architectures