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Processes
Special Issues
Advanced Reservoir Simulation and Modelling in Oil and Gas-Related Processes
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Advanced Reservoir Simulation and Modelling in Oil and Gas-Related Processes

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

Deadline for manuscript submissions: 31 October 2025 | Viewed by 299

Special Issue Editor

Prof. Dr. Wei Liu

E-Mail Website
Guest Editor
College of Petroleum Engineering, China University of Petroleum (Beijing), Beijing 102249, China
Interests: rock mechanics; wellbore instability; sand production; hydraulic fracturing; cement sheath integrity
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

In recent years, we have witnessed a remarkable increase in the development of sustainable and efficient energy solutions. With escalating energy demands and the urgent need to optimize resource utilization, advanced reservoir simulation and modelling in energy-related processes have emerged as crucial tools. As the energy industry continues to evolve, facing complex scenarios such as the coupling of multiphysics in unconventional reservoirs and the integration of renewable energy sources with traditional energy systems, accurate simulation and modelling have become essential in the realization of informed decision-making.

Despite significant progress in computational capabilities and numerical algorithms, simulating and modelling the intricate physical and chemical processes that occur in energy-related reservoirs remains a formidable challenge. Issues such as the accurate representation of complex geological heterogeneity, the prediction of reservoir performance under dynamic operating conditions, and the coupling of multiple physical phenomena still pose challenges to the achievement of highly reliable and efficient energy production. In this context, research on advanced reservoir simulation and modelling techniques, via innovative experimental validation, theoretical analysis, and high-fidelity numerical methods, holds the key to unlocking the full potential of energy resources.

This Special Issue, entitled “Advanced Reservoir Simulation and Modelling in Oil and Gas-Related Processes”, aims to compile a collection of original research articles and comprehensive review papers that showcase the latest advancements in this field. The scope of this Special Issue includes, but is not limited to, the following topics:

  • Advanced numerical methods for simulating multiphysics coupling process in various reservoirs;
  • Integrated reservoir–fluid–wellbore models for optimizing energy production;
  • Model-based prediction of reservoir performance;
  • Simulation of the interaction between renewable energy storage and traditional energy;

We look forward to receiving your contributions.

Prof. Dr. Wei Liu
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Processes is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • oil and gas
  • simulation
  • multiphysics coupling

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Published Papers (2 papers)

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Research

21 pages, 5508 KiB  
Article
Research on the Adsorption Characteristics of Shale Gas in Different Types of Kerogen
by Ao Yin, Zhixiang Liu, Yongli Zhang and Yulin Ma
Processes 2025, 13(5), 1362; https://doi.org/10.3390/pr13051362 - 29 Apr 2025
Abstract
To investigate the methane adsorption characteristics in different types of kerogen, microscopic models for three kerogen types—sapropelic (Type I), mixed (Type II), and humic (Type III)—were developed in this paper based on the paradigm diagram. Using Materials Studio 2020 software, a combination of [...] Read more.
To investigate the methane adsorption characteristics in different types of kerogen, microscopic models for three kerogen types—sapropelic (Type I), mixed (Type II), and humic (Type III)—were developed in this paper based on the paradigm diagram. Using Materials Studio 2020 software, a combination of molecular dynamics and Monte Carlo adsorption simulations was employed to examine the kerogen from the molecular structure to the cellular structure, with an analysis rooted in thermodynamic theory. The results indicated that the elemental composition of kerogen significantly influenced both the heat of adsorption and the adsorption position, with sulfur (S) having the greatest effect. Specifically, the C-S bond shifted the methane adsorption position horizontally by 0.861 Å and increased the adsorption energy by 1.418 kJ. Among the three types of kerogen crystals, a relationship was observed among the adsorption amount, limiting adsorption energy, and specific adsorption energy, with Type I < Type II < Type III. Additionally, the limiting adsorption energy was greater than the specific adsorption energy. The limiting adsorption energy of Type Ⅲ was only 28.436 kJ/mol, which indicates that methane is physically adsorbed in the kerogen. Regarding the diffusion coefficient, the value of 0.0464 Å2/Ps in the micropores of Type I kerogen was significantly higher than that in Types II and III, though it was much smaller than the diffusion coefficient observed in the macropores. Additionally, adsorption causes volumetric and effective pore volume expansion in kerogen crystals, which occurs in two phases: slow expansion and rapid expansion. Higher types of kerogen require a larger adsorption volume to reach the rapid expansion phase and expand more quickly. However, during the early stage of adsorption, the expansion rate is extremely low, and even a slight shrinkage may occur. Therefore, in shale gas extraction, it is crucial to design the extraction strategy based on the content and adsorption characteristics of the three kerogen types in order to enhance shale gas production and improve extraction efficiency. Full article
(This article belongs to the Special Issue Advanced Reservoir Simulation and Modelling in Oil and Gas-Related Processes)
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16 pages, 6974 KiB  
Article
A Fast Simulation Method for Predicting the Production Behavior of Artificial Fractures Based on Diffusive Time of Flight
by Xuefeng Yang, Cheng Chang, Dan Dai, Haoran Hu, Shengwang Lin, Yizhao Chen, Qingquan Li and Bailu Teng
Processes 2025, 13(4), 984; https://doi.org/10.3390/pr13040984 - 26 Mar 2025
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Abstract
Multi-stage hydraulic fracturing is a widely used technology in the development of shale oil and gas reservoirs that creates artificial fractures and forms fracture networks that enhance fluid flow within reservoirs. A well-designed fracture network can significantly enhance the production performance of oil [...] Read more.
Multi-stage hydraulic fracturing is a widely used technology in the development of shale oil and gas reservoirs that creates artificial fractures and forms fracture networks that enhance fluid flow within reservoirs. A well-designed fracture network can significantly enhance the production performance of oil and gas wells, thereby improving the recovery of shale oil and gas reservoirs. To achieve this, understanding the gas production performance of individual artificial fractures is crucial, as it provides valuable insights for refining subsequent fracturing designs, ultimately leading to an optimized fracture network design. At present, numerical simulations are commonly used to study the production performance of individual artificial fractures by modeling the production process of the entire shale oil and gas reservoir. However, due to the heterogeneity of reservoirs and the presence of numerous natural fractures, traditional numerical simulations require high-resolution grids to model the production process, making them computationally expensive and time-consuming. To address this issue, in this work, based on the concept of diffusive time of flight (DTOF), the authors propose a fast simulation method to efficiently simulate the production behavior of individual artificial fractures throughout the shale oil and gas reservoir production process. The DTOF can be obtained by solving the Eikonal equation using the fast marching method (FMM), which is then used to calculate the drainage volume of individual artificial fractures. Subsequently, a geometric approximation of the drainage volume is used to efficiently compute the production rates of individual artificial fractures. Unlike traditional numerical simulations, this method uses a single non-iterative calculation to determine the drainage volume of individual artificial fractures, followed by a geometric approximation to compute the production rates. This eliminates the need for high-resolution grids, significantly reducing computational cost and time, which allows the proposed method to provide faster simulations compared to traditional numerical methods while maintaining sufficient accuracy. Full article
(This article belongs to the Special Issue Advanced Reservoir Simulation and Modelling in Oil and Gas-Related Processes)
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