Study of Modeling and Simulation of Oil and Gas Reservoirs Engineering

A special issue of Processes (ISSN 2227-9717). This special issue belongs to the section "Energy Systems".

Deadline for manuscript submissions: 31 January 2026 | Viewed by 651

Special Issue Editor


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Guest Editor
Unconventional Oil and Gas Science and Technology Research Institute Organization, China University of Petroleum (Beijing), Beijing 102249, China
Interests: fracturing; new technologies for oil and gas field development; unconventional reservoirs; basin simulation

Special Issue Information

Dear Colleagues,

Conventional small-scale laboratory experiments, while foundational, face critical limitations in addressing the complexities of unconventional reservoir systems. These methods often oversimplify in situ conditions by decoupling key geological and engineering factors, such as true triaxial stress states, multi-physical field interactions, and long-term dynamic damage effects, leading to significant gaps between laboratory insights and field-scale behaviors. Limited sample sizes fail to capture reservoir heterogeneity and fracture–network connectivity, while static or low-pressure conditions cannot replicate the nonlinear seepage dynamics of multiphase fluids in micro–nanopores. Furthermore, traditional experiments struggle to quantify cross-scale mechanisms, such as proppant transport in complex fracture geometries or energy redistribution during repeated fracturing, hindering the development of predictive models for engineering optimization.

This Special Issue seeks to overcome these constraints by advancing highly innovative large-scale experimental methods tailored to unconventional reservoirs. We prioritize studies employing true triaxial fracturing simulation systems to model fracture propagation under realistic stress fields, high-temperature/pressure in situ seepage visualization platforms for pore-scale fluid dynamics analysis, and multi-scale core dynamic damage devices to quantify fracture thresholds under cyclic loading. Submissions integrating micro–nano CT scanning with digital core coupling techniques are encouraged to establish structure–property relationships across scales. Research must demonstrate how these methods resolve heterogeneity, multiphysics coupling, and nonlinear flow challenges, providing transformative experimental frameworks for mechanistic discovery and field applications.

Dr. Jingchen Zhang
Guest Editor

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Keywords

  • large-scale experimental methods
  • multi-physical field coupling
  • micro–nano-pore dynamics
  • unconventional reservoir development
  • long-term dynamic

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Published Papers (1 paper)

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Research

23 pages, 12727 KB  
Article
Quantitative 3D Depositional Element Modeling of the Mishrif Carbonate Platform: Enhancing Reservoir Performance Prediction
by Shunming Li, Rubing Han, Zhiyang Pi, Gang Hui and Hui He
Processes 2025, 13(9), 2941; https://doi.org/10.3390/pr13092941 - 15 Sep 2025
Viewed by 489
Abstract
Qualitative schematic models of the Mishrif Formation, which have previously dominated the research, are inadequate for predicting reservoir production performance due to their inability to quantify spatial heterogeneity. In contrast to these earlier approaches, this study integrates core analysis, wireline logs, and 3D [...] Read more.
Qualitative schematic models of the Mishrif Formation, which have previously dominated the research, are inadequate for predicting reservoir production performance due to their inability to quantify spatial heterogeneity. In contrast to these earlier approaches, this study integrates core analysis, wireline logs, and 3D seismic data to not only describe but also quantitatively characterize the depositional elements and their spatial distribution. A novel methodology was developed to define nine distinct depositional elements from cored wells and then continuously identify them in uncored wells using unique pseudo-wireline log responses, a step not achieved in prior work. Furthermore, moving beyond previous qualitative models, 3D quantitative versions were constructed using Sequential Indicator Simulation (SIS) explicitly constrained by depositional geometries derived from 3D seismic inversion volumes. For the first time, these models reveal the quantitative spatial extent and evolution of these elements. Updating the 3D petrophysical property model using this new depositional framework resulted in a 15% increase in successful production history matches, demonstrating the direct and superior predictive power of this integrated quantitative approach for forecasting oil reservoir production performance. Full article
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