Special Issues

Enhanced Oil and Gas Recovery in Unconventional ReservoirsⅡ

Submission Deadline: 31 December 2026 View: 443 Submit to Special Issue

Guest Editors

Dr. Yu Peng

Email: pengyu_frac@foxmail.com

Affiliation: State Key Laboratory of Oil and Gas Reservoir Geology and Exploitation, Southwest Petroleum University, Chengdu, 610500, China

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Research Interests: rock mechanics, heat and mass transfer, fracture mechanics, rheology, interdisciplinary application of mathematics, and numerical simulations related to oil & natural gas development.

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Dr. Zhenglan Li

Email: lizhenglanswpu@163.com

Affiliation: State Key Laboratory of Oil and Gas Reservoir Geology and Exploitation, Southwest Petroleum University, Chengdu, 610500, China

Homepage:

Research Interests: enhanced oil recovery, reactive transport, carbonate acid stimulation, naturally fractured and vuggy reservoirs, Underground Hydrogen Storage (UHS), and Geological Carbon Sequestration.

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Research assistant Xiaoshuang Chen

Email: xiaoshuang.chen@utexas.edu

Affiliation: Hildebrand Department of Petroleum and Geosystems Engineering, The University of Texas at Austin, Austin, 78712, United States

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Research Interests: Fluid flow and transport phenomena, materials degradation kinetics, well stimulation, energy system optimization, subsurface engineering, and flow assurance in oil and natural gas development.

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Dr. Yunjin Wang

Email: wangyj@cup.edu.cn

Affiliation: National Key Laboratory of Petroleum Resources and Engineering, China University of Petroleum Beijing, Beijing 102249, China

Homepage:

Research Interests: hydraulic fracturing, matrix acidizing, acid fracturing, seepage, machine learning, prediction, optimization, neural network, petroleum exploration, chemical reaction, simulation.

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Summary

Unconventional oil and gas reservoirs (such as shale, tight sandstone, tight carbonate and natural gas hydrate) have the remarkable characteristics of low porosity, low permeability, low oil and gas recoveries. During the the development of unconventional reservoirs, many processes may impact their recovery efficiency significantly, such as geological exploration, well drilling, well completion, hydraulic fracturing, production and transportation processes. Conducting theoretical, experimental, numerical simulation and field application researches on different or interrelated processes of unconventional reservoir development is of great significance for improving the recovery of unconventional reservoirs.


This special issue considers new theoretical and technological achievements in the development of unconventional oil and gas resources. Its main goal is the provision of a high-level platform for sharing innovations and insights into this field.


We welcome all types of manuscripts, including original research articles, review articles, and perspectives. With respect to the above topics, original contributions are solicited from researchers in academia as well as industry working in areas including, but not limited to:
• Progress in enhanced oil and gas recovery technologies for unconventional reservoirs
• Carbon Capture, Utilization, and Storage (CCUS) in the development of unconventional reservoirs
• Research on high-quality and efficient drilling and completion technology in complex formations
• Optimization of fracturing parameters and fracture network pattern
• Research on the synthesis and evaluation of working fluids in the development of unconventional reservoirs
• Reservoir simulation and numerical modelling
• Experimental and numerical simulation studies on multi-field and multi-phase processes


Keywords

Unconventional Oil and Gas Resources, Enhanced Oil and Gas Recovery, Multi-field Coupling, Seepage Mechanisms, Hydraulic Fracturing, Numerical Simulation, Parameter Optimization, Polymer.

Published Papers


  • Open Access

    ARTICLE

    Long-Term Production Prediction Method for Shale Oil Based on Bayesian Physical-Information Neural Networks

    Longqiao Hu, Yunjin Wang, Jia Liu, Jiacheng Yin, Siyu Zhang, Mengyu Li, Qi Wu, Jiawei Li, Fujian Zhou
    Energy Engineering, DOI:10.32604/ee.2026.079317
    (This article belongs to the Special Issue: Enhanced Oil and Gas Recovery in Unconventional ReservoirsⅡ)
    Abstract The flow mechanisms of shale oil are inherently complex, characterized by diverse occurrence states. Establishing a robust production forecasting model is essential for thoroughly evaluating well deliverability and the efficacy of reservoir stimulation. While conventional analytical techniques, numerical reservoir simulation, and production decline analysis constitute standard practice, they often struggle to balance computational efficiency with predictive fidelity. Intelligent algorithms offer superior precision in short-term forecasting following extensive data training; however, they frequently exhibit poor generalization and underfitting during long-term performance projections. Consequently, integrating domain-specific production decline theory as physical constraints represents a strategic pathway to… More >

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