Integration of discrete fracture reconstruction and dual porosity/dual permeability models for gas production analysis in a deformable fractured shale reservoir

Q Zhang, B Hou, B Lin, X Liu, Y Gao - Journal of Natural Gas Science and …, 2021 - Elsevier
Highlights•Poroelastic porosity and permeability models incorporating reservoir deformation
and flow regime.•Bidirectional transformation between adsorbed gas and free gas by …

Simulation of shale gas transport and production with complex fractures using embedded discrete fracture model

W Yu, Y Xu, M Liu, K Wu, K Sepehrnoori - AIChE Journal, 2018 - Wiley Online Library
The goal of this study is to develop a new model to simulate gas and water transport in shale
nanopores and complex fractures. A new gas diffusivity equation was first derived to …

Quantitative study in shale gas behaviors using a coupled triple-continuum and discrete fracture model

S Wei, Y Xia, Y Jin, M Chen, K Chen - Journal of Petroleum Science and …, 2019 - Elsevier
The shale has ultra-low permeability wherein multi-scale natural fractures are well-
developed. The success of providing high diversion channels makes multi-stage fractured …

Review of the development status and technology of tight oil: Advances and outlook

S Liu - Energy & Fuels, 2023 - ACS Publications
Tight sandstone and shale oil reservoirs are one of the most promising and realistic
important oil exploration fields in the 21st century. The research on the development …

Residual learning to integrate neural network and physics-based models for improved production prediction in unconventional reservoirs

J Cornelio, S Mohd Razak, Y Cho, HH Liu, R Vaidya… - SPE Journal, 2022 - onepetro.org
The flow and transport processes that take place during hydrocarbon production from
hydraulically fractured unconventional reservoirs are not well understood. As a result …

Transfer learning with prior data-driven models from multiple unconventional fields

J Cornelio, S Mohd Razak, Y Cho, HH Liu, R Vaidya… - SPE Journal, 2023 - onepetro.org
Constructing reliable data-driven models to predict well production performance (eg,
estimated ultimate recovery, cumulative production, production curves, etc.) for …

Production forecasting for shale gas reservoirs with nanopores and complex fracture geometries using an innovative non-intrusive EDFM method

W Yu, K Wu, M Liu, K Sepehrnoori… - SPE Annual Technical …, 2018 - onepetro.org
A rigorous and efficient numerical method for simulation of shale gas production considering
complex hydraulic and natural fracture geometries and multiple gas transport mechanisms …

An integrated multiscale model for gas storage and transport in shale reservoirs

A Takbiri-Borujeni, E Fathi, M Kazemi, F Belyadi - Fuel, 2019 - Elsevier
This paper presents a multi-scale modeling of gas transport in shale where techniques from
micro-to macro-scale (Molecular dynamic simulations, lattice Boltzmann and multi …

Physics-assisted transfer learning for production prediction in unconventional reservoirs

J Cornelio, SM Razak, A Jahandideh, Y Cho… - … Conference, 26–28 …, 2021 - library.seg.org
A physics-assisted deep learning model is presented to facilitate transfer learning in
unconventional reservoirs by integrating the complementary strengths of physics-based and …

The flowback and production analysis in sub-saturated fractured shale reservoirs

S Wei, Y Jin, Y Xia, B Lin - Journal of Petroleum Science and Engineering, 2020 - Elsevier
The initial water saturation of shale reservoirs is in general lower than the irreducible water
saturation. However, the hydraulic fracture network region is highly saturated by fracturing …