Mathematical Problems in Engineering

Progress and Challenge of Mathematics Applications in Petroleum Engineering


Publishing date
01 Oct 2021
Status
Closed
Submission deadline
21 May 2021

Lead Editor

1China University of Petroleum (East China), Qingdao, China

2ULTRecovery Corporation, Houston, USA

3University of Science and Technology Beijing, Beijing, China

This issue is now closed for submissions.
More articles will be published in the near future.

Progress and Challenge of Mathematics Applications in Petroleum Engineering

This issue is now closed for submissions.
More articles will be published in the near future.

Description

Due to the lack of clear understanding of downhole information, downhole complex situations occur frequently in the process of drilling and development during petroleum exploration in deep water and deep formations. In recent years, the rise of big data, data mining, machine learning, and other methods, as well as the continuous improvement of new mathematical models and methods, have brought new opportunities for the safety and efficiency of petroleum engineering. How to use these new mathematical methods and models to solve the current problems and challenges of petroleum engineering is still a challenge.

Traditional methods and models play an important role in conventional petroleum engineering, but for the exploration and development of deep-water and deep formations, the traditional empirical and deterministic methods do not fully meet the actual needs. Currently, petroleum engineering is a systematic project with multiple data sources, complex processes, and great uncertainty of underground information and conditions. How to use multi-source data effectively by building reliable mathematical models or methods, so as to accurately predict the formation and construction status and control the engineering construction, is the current challenge.

The purpose of this Special Issue is to improve the safety and efficiency of petroleum engineering by introducing new methods such as big data, data mining, and machine learning, or innovating mathematical models/methods aiming to solve the problems and challenges faced by oil exploration and development in deep water and deep formations. Original research and review articles are welcome.

Potential topics include but are not limited to the following:

  • Applications of big data, data mining, machine learning, and other new methods in petroleum engineering
  • Application of innovative models in petroleum engineering
  • Mathematical methods and innovative research in drilling engineering
  • Mathematical methods and innovation research in oil and gas field development engineering
  • Mathematical problems in deep oil and gas exploration and development
  • Mathematical problems in deep-water oil and gas exploration and development
  • Mathematical problems in unconventional oil and gas exploration and development

Articles

  • Special Issue
  • - Volume 2021
  • - Article ID 5514427
  • - Research Article

Study on Method of Determining the Safe Operation Window of Drilling Fluid Density with Credibility in Deep Igneous Rock Strata

Chao Han | Zhichuan Guan | ... | Pengfei Li
  • Special Issue
  • - Volume 2021
  • - Article ID 5565672
  • - Research Article

Rotation Speed Control of the Rotary Valve in MWD Tools Based on Speed Feedforward Compensation

Lingtan Zhang | Yue Shen | ... | Lingzhi Wei
  • Special Issue
  • - Volume 2021
  • - Article ID 5538419
  • - Research Article

Circuit Modeling and Signal Transmission Analysis of Inductive Coupler in Wired Drill Pipe

Jia Jia | Yinao Su | ... | Yan Ling
  • Special Issue
  • - Volume 2021
  • - Article ID 5520428
  • - Research Article

Artificial Intelligence Method for Shear Wave Travel Time Prediction considering Reservoir Geological Continuity

Shanshan Liu | Yipeng Zhao | Zhiming Wang
  • Special Issue
  • - Volume 2021
  • - Article ID 6690930
  • - Research Article

Fault Recognition of Indicator Diagrams Based on the Dynamic Time Warping Distance of Differential Curves

Yi Du | Peng Zhao | Ting Zhang
  • Special Issue
  • - Volume 2021
  • - Article ID 6659632
  • - Research Article

Optimization Design of a Riser-Drill String Coupling System Based on CAE Techniques

Shiyao Qin | Ruiming Wang | ... | Gaowei Wang
Mathematical Problems in Engineering
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