Call for Paper: Special Issue on Advance in Intelligent Methods for Unconventional Oil & Gas Reservoir Development [InterPore 2020]

 
 
 
Unconventional resources including shale gas/oil, tight gas/gas, oil sands, geothermal energy and gas hydrates, etc. are the significant energy source and play as an important component of world energy resources. Significant mechanism work and technique progress must be produced to guide the development of these unconventional resources. Recent advances in machine learning (ML) techniques have become a frontier in porous media-related research. Some classical challenges in porous media are being addressed with ML. The special issue will focus on those most recent results and new directions in porous media-related research.Unconventional resources including shale gas/oil, tight gas/gas, oil sands, geothermal energy and gas hydrates, etc. are the significant energy source and play as an important component of world energy resources. Significant mechanism work and technique progress must be produced to guide the development of these unconventional resources. Recent advances in machine learning (ML) techniques have become a frontier in porous media-related research. Some classical challenges in porous media are being addressed with ML. The special issue will focus on those most recent results and new directions in porous media-related research.Unconventional resources including shale gas/oil, tight gas/gas, oil sands, geothermal energy and gas hydrates, etc. are the significant energy source and play as an important component of world energy resources. Significant mechanism work and technique progress must be produced to guide the development of these unconventional resources. Recent advances in machine learning (ML) techniques have become a frontier in porous media-related research. Some classical challenges in porous media are being addressed with ML. The special issue will focus on those most recent results and new directions in porous media-related research.Unconventional resources including shale gas/oil, tight gas/gas, oil sands, geothermal energy and gas hydrates, etc. are the significant energy source and play as an important component of world energy resources. Significant mechanism work and technique progress must be produced to guide the development of these unconventional resources. Recent advances in machine learning (ML) techniques have become a frontier in porous media-related research. Some classical challenges in porous media are being addressed with ML. The special issue will focus on those most recent results and new directions in porous media-related research. 

Unconventional resources including shale gas/oil, tight gas/gas, oil sands, geothermal energy and gas hydrates, etc. are the significant energy source and play as an important component of world energy resources. Significant mechanism work and technique progress must be produced to guide the development of these unconventional resources. Recent advances in machine learning (ML) techniques have become a frontier in porous media-related research. Some classical challenges in porous media are being addressed with ML. The special issue will focus on those most recent results and new directions in porous media-related research.

1.1 Topics

(1) Multiscale and multiphysical modelling

(2) Advances in machine learning algorithms

(3) Machine learning application to reservoir

(4) Uncertainty quantification methods for reservoir

(5) Big data techniques application to reservoir

(6) Fast proxy model development

 

1.2 Time Schedule

(1) Open for submission: October 1, 2020

(2) Deadline for full paper submissions: October 30, 2021

 

1.3 Guest Editor Team

Qi Zhang, China University of Geosciences, Wuhan, China

Jianchun Xu, China University of Petroleum, Qingdao, China

Jianchao Cai, China University of Geosciences, Wuhan, China

 

1.4 Submission guidelines

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