Geofluids

Multiscale Flow and Optimal Production Control Techniques in Smart Unconventional Reservoirs


Publishing date
01 Apr 2021
Status
Closed
Submission deadline
27 Nov 2020

Lead Editor

1Yangtze University, Wuhan, China

2The University of Alberta, Edmonton, Canada

3China University of Petroleum, Beijing, China

4China University of Petroleum (East China), Qingdao, China

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

Multiscale Flow and Optimal Production Control Techniques in Smart Unconventional Reservoirs

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

Description

Unconventional reservoirs, including shale, coal, and tight sandstone reservoirs, are widely distributed and abundant in the world. This is an important field for the strategic replacement and development of oil and gas resources. Multiphase and multiscale flow in unconventional reservoirs is complex. The structure of different scale media, such as nano-pores, natural fractures, and induced-fracture network, are also difficult to describe. Flow behavior cannot be simulated by conventional theory. At the same time, driven by information technology such as big data, cloud computing, and the internet of things, smart oilfield development has become an indispensable research focus.

However, multiscale media in unconventional reservoirs leads to a large number of calculations in flow simulation, which cannot be applied to theoretical simulation of field scale. Similarly, optimal production control techniques for conventional reservoirs cannot be applied to unconventional reservoirs. Therefore, it is necessary to propose new methods for multi-scale flow and optimal production control techniques to improve calculation efficiency in smart unconventional reservoirs.

This Special Issue aims to present recent advances in various subjects addressing new multiscale flow and optimal production control techniques in smart unconventional reservoirs. We invite investigators to contribute new work that will explore as many aspects as possible in the modelling of smart unconventional reservoirs.

Potential topics include but are not limited to the following:

  • Induced fracture description of primary fracturing or re-fracturing
  • Porosity and permeability characterization of unconventional reservoirs
  • Reservoir Evaluation
  • Micro-scale or Multi-scale flow simulation
  • Multiphase flow and Flowback simulation
  • Advances in EOR for unconventional oil/gas reservoirs
  • Reservoir data matching and prediction
  • Well production optimization
  • High-performance computing, algorithms, and simulation methods
  • Automatic well monitoring and control technologies

Articles

  • Special Issue
  • - Volume 2021
  • - Article ID 8824090
  • - Research Article

Numerical Simulation Study on Waterflooding Heavy Oil Based on Variable Threshold Pressure Gradient

Fan Liu | Qingdong Ni | ... | Ruizhong Jiang
  • Special Issue
  • - Volume 2021
  • - Article ID 6662571
  • - Research Article

Sand Blocking Mechanisms and Productivity Analysis of Slant Well in Siltstone Reservoirs

Peifeng Jia | Chuanzhi Cui | ... | Yingfei Sui
  • Special Issue
  • - Volume 2021
  • - Article ID 6636156
  • - Research Article

Micropore Characteristics and Geological Significance of Shale Reservoirs: Case Study of Fuling Shale Gas in Sichuan Basin, China

Liang Cheng | Fujia Guan | ... | Jing Sun
  • Special Issue
  • - Volume 2021
  • - Article ID 6653442
  • - Research Article

Multiscale Flow and Optimal Production Control Techniques in Smart Unconventional Reservoirs

Yu Jiang | John E. Killough | ... | Yongzheng Cui
  • Special Issue
  • - Volume 2021
  • - Article ID 8821711
  • - Research Article

The Architectural Surfaces Characteristics of Sandy Braided River Reservoirs, Case Study in Gudong Oil Field, China

Xixin Wang | Fan Zhang | ... | Wen Zhao
  • Special Issue
  • - Volume 2021
  • - Article ID 8813167
  • - Research Article

Study on the Pressure Drop Variation and Prediction Model of Heavy Oil Gas-Liquid Two-Phase Flow

Shanzhi Shi | Jie Li | ... | Jiadong Liao
  • Special Issue
  • - Volume 2021
  • - Article ID 6641395
  • - Research Article

The Health Index Prediction Model and Application of PCP in CBM Wells Based on Deep Learning

Chaodong Tan | Song Wang | ... | Xiongying Zhang
  • Special Issue
  • - Volume 2021
  • - Article ID 6647647
  • - Research Article

Study on the Influence of Sand Production on Seepage Capacity in Natural Gas Hydrate Reservoirs

Yongmao Hao | Jikai Liang | ... | Shiwei Yang
  • Special Issue
  • - Volume 2021
  • - Article ID 6669921
  • - Research Article

Experimental Study on Blockage Mechanism and Blockage Locations for Polymer-Flooded Reservoirs in the Henan Oilfield

Yu Li | Meilong Fu | ... | Ruiyi Sun
  • Special Issue
  • - Volume 2021
  • - Article ID 6647072
  • - Research Article

Method of Calculating Secondary Porosity of Reef Limestone Reservoir by Casting Thin Section Calibrating Nuclear Magnetic Spectrum

Bin Zhao | Zhaoping Li | ... | Yang Tang
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