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Processes
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Advances in Reservoir Simulation and Multiphase Flow in Porous Media
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Advances in Reservoir Simulation and Multiphase Flow in Porous Media

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

Deadline for manuscript submissions: 30 April 2026 | Viewed by 880

Special Issue Editors

Dr. Cunqi Jia

E-Mail Website
Guest Editor
Physical Science and Engineering Division, King Abdullah University of Science and Technology, Thuwal, Mecca 23955, Saudi Arabia
Interests: high-performance reservoir simulation; enhanced hydrocarbon recovery; fracture and vuggy modeling; acid stimulation; geological carbon sequestration and underground energy storage
Special Issues, Collections and Topics in MDPI journals
Dr. Zheng Li

E-Mail Website
Guest Editor
State Key Laboratory of Oil and Gas Reservoir Geology and Exploitation, Chengdu University of Technology, Chengdu 610059, China
Interests: micro- and nano-scale flow in porous media; shale oil; shale gas; CCUS; underground hydrogen storage

Special Issue Information

Dear Colleagues,

The efficient and sustainable development of reservoirs remains one of the most pressing challenges in the energy sector. As reservoirs become increasingly complex, ranging from deep formation and unconventional plays to mature and depleted fields, advanced simulation and multiphase flow modeling have become indispensable tools for guiding field development, optimizing production, and ensuring long-term reservoir integrity. With rapid progress in high-performance computing, digital rock physics, molecular-to-field-scale coupling, and data-driven methods, reservoir simulation is entering a new era that allows for unprecedented resolution and predictive capability.

This Special Issue on “Advances in Reservoir Simulation and Multiphase Flow in Porous Media” aims to showcase cutting-edge research on modeling, simulation, and experimental approaches that enhance our understanding of multiphase transport processes in porous media and improve oil/gas/water recovery strategies. Contributions are encouraged from both fundamental and applied perspectives, covering developments at molecular, pore, core, reservoir, and field scales. Topics include, but are not limited to, the following:

  • Novel methods for reservoir simulation, including multiscale and hybrid modeling approaches;
  • Advances in numerical schemes, algorithms, and high-performance computing for reservoir applications;
  • Multiphase flow in porous media: mechanisms, visualization, and modeling from nano- to field-scale;
  • Simulation and experimental studies of enhanced oil recovery (EOR) processes, including water flooding, gas flooding, CO2 injection, and chemical flooding;
  • Coupled processes: geomechanics, geochemistry, and thermal effects in reservoir simulation;
  • Data-driven and machine learning approaches for reservoir performance prediction;
  • Uncertainty quantification, history matching, and optimization in reservoir management;
  • Integration of digital twin, real-time monitoring, and AI-assisted simulation frameworks.

This Special Issue seeks to bring together contributions from academia, industry, and research institutes to advance the theory and practice of reservoir simulation and multiphase flow in porous media. Research articles, reviews, and short communications are welcome.

We look forward to your contributions to this Special Issue and to building a strong collection of works that reflect the latest advances in this important field.

Dr. Cunqi Jia
Dr. Zheng Li
Guest Editors

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 250 words) can be sent to the Editorial Office for assessment.

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

  • reservoir simulation
  • multiphase flow
  • enhanced oil recovery (EOR)
  • porous media
  • numerical modeling
  • data-driven methods

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Published Papers (1 paper)

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Research

17 pages, 3460 KB  
Article
Impact of Partitioning Methods on the Accuracy of Coarse-Grid Network Reservoir Models
by Wenjuan Zhang, Kai Zhang, Hao Song and Jianghai Lv
Processes 2025, 13(11), 3678; https://doi.org/10.3390/pr13113678 - 13 Nov 2025
Viewed by 347
Abstract
Reservoir simulation remains a major computational bottleneck for production optimization, history matching, and uncertainty quantification, particularly as geological models become increasingly detailed and recovery processes more complex. Coarse-grid network (CGNet) models have recently emerged as an efficient, physics-grounded proxy to full-physics simulations by [...] Read more.
Reservoir simulation remains a major computational bottleneck for production optimization, history matching, and uncertainty quantification, particularly as geological models become increasingly detailed and recovery processes more complex. Coarse-grid network (CGNet) models have recently emerged as an efficient, physics-grounded proxy to full-physics simulations by solving the flow equations on a coarse network whose parameters are freely calibrated to reproduce fine-scale or observed well responses. In this study, we investigate how different coarse-partitioning strategies affect the accuracy and robustness of CGNet models. Four partitioning approaches are examined: a simple cookie-cutter partition, and three partitions based on cell-wise indicators—absolute permeability, velocity magnitude, and the product of forward and backward time-of-flight. Two test cases are considered: one using a single layer of the SPE10 benchmark dataset and the other using a sector model from the Norne field. Results show that, despite substantial differences in coarse-grid topology, the four CGNet models achieve comparable convergence behavior and predictive accuracy. For the SPE10 case, all models reproduce the fine-scale responses well, and no clear superiority among the partitioning methods. In the Norne case, the time-of-flight–based partition yields the lowest misfit and slightly better well-response predictions, although overall differences remain modest. These findings demonstrate that CGNet models are robust to coarse-grid topology and that incorporating flow-based indicators in partition generation can offer marginal improvements for complex geological systems. The results highlight the potential of CGNet as a cost-effective, physically consistent surrogate for large-scale reservoir applications. Full article
(This article belongs to the Special Issue Advances in Reservoir Simulation and Multiphase Flow in Porous Media)
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