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Oil and Gas Reservoirs: Phase Behavior, Seepage Mechanisms, Productivity Prediction, and Novel Modelling Methods—3rd Edition

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A special issue of Energies (ISSN 1996-1073). This special issue belongs to the section "H: Geo-Energy".

Deadline for manuscript submissions: 10 June 2025 | Viewed by 863

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Special Issue Editors

Dr. Juntai Shi

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Guest Editor

State Key Laboratory of Petroleum Resources and Prospecting, China University of Petroleum(Beijing), Beijing 102249, China
Interests: phase characteristics; percolation mechanism; productivity prediction and development technology of condensate gas reservoir; low permeability gas reservoir; coalbed methane gas reservoir; shale gas reservoir and other complex and unconventional gas reservoirs
Special Issues, Collections and Topics in MDPI journals

Dr. Zheng Sun

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Guest Editor

State Key Laboratory of Coal Resources and Safe Mining, China University of Mining and Technology, Xuzhou 221116, China
Interests: nanoconfined hydrocarbon phase behavior; nanoconfined fluid flow mechanism; pore network modeling; numerical siumulation on coalbed methane reservoirs; production data analysis method; shale gas/oil development; CO₂ storage and utilization; condensate gas reservoir
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

We are pleased to share the success of our Special Issues “Oil and Gas Reservoirs: Seepage Mechanism, Productivity Prediction and Development Technology” and “Oil and Gas Reservoirs: Phase Behavior, Seepage Mechanism, Productivity Prediction, and Novel Modelling Methods”.

In the first volume, we successfully published 15 papers:

https://www.mdpi.com/journal/energies/special_issues/oil_gas_seepage_productivity

In the second volume, we successfully published 13 papers:

https://www.mdpi.com/journal/energies/special_issues/R8KU9424ZC

We are now preparing to launch the third volume of this Special Issue, “Oil and Gas Reservoirs: Phase Behavior, Seepage Mechanisms, Productivity Prediction, and Novel Modelling Methods—3rd Edition”.

In order to reach the carbon reduction and carbon neutrality advocated for to achieve global environmental goals, improving oil/gas recovery to balance increasing daily energy demands, rather than reinforcing dependence on coal consumption, is urgent. Meanwhile, after the depletion of regular oil/gas reservoirs, we are forced to redirect our attention to complex conventional and unconventional oil/gas reservoirs, such as condensate gas reservoirs, fractured oil/gas reservoirs, tight oil/gas reservoirs, shale gas/oil, coalbed methane, etc. However, this urgently calls for the phase behavior and seepage mechanisms of fluids in the mentioned complex and unconventional oil/gas reservoirs to be uncovered, and the corresponding productivity prediction and novel modeling methods are still lacking. In order to address this issue, we are pleased to invite you to submit papers to this new Special Issue of Energies, entirely devoted to “Oil and Gas Reservoirs: Phase Behavior, Seepage Mechanisms, Productivity Prediction, and Novel Modelling Methods—3rd Edition”. This Special Issue emphasizes the current challenges of the description of phase behavior and multiphase flow in the matrix pores of the mentioned oil and gas reservoirs. At the same time, studies focused on the productivity, prediction, and production modeling methods used for these reservoirs are also welcomed.

Potential topics of interest include, but are not limited to:

The characterization of nanopore morphology in shale/coal samples;
Fluid phase behavior in abnormal high-pressure and high-temperature reservoirs;
Fluid phase behavior in the nanopores of shale condensate gas reservoirs;
Original multiphase fluid occurrence states in deep oil/gas reservoirs;
Pore network modeling towards fluid flow in porous media;
Novel numerical simulation methods for complex development modes;
Fracture propagation characterization and long-term conductivity calculation;
Advanced production data analysis methods based on multiphase flow.

Dr. Juntai Shi
Dr. Zheng Sun
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 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. Energies is an international peer-reviewed open access semimonthly 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 2600 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

phase behavior
multiphase seepage mechanism
tight oil/gas
shale oil/gas
gas condensate reservoirs
fractured oil/gas reservoirs
coalbed methane
production prediction
stimulation measures
data science

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Related Special Issues

Oil and Gas Reservoirs: Seepage Mechanism, Productivity Prediction and Development Technology in Energies (15 articles)
Oil and Gas Reservoirs: Phase Behavior, Seepage Mechanism, Productivity Prediction, and Novel Modelling Methods in Energies (14 articles)

Published Papers (1 paper)

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24 pages, 22367 KiB

Open AccessArticle

Laboratory-to-Field Scale Numerical Investigation of Enhanced Oil Recovery Mechanism for Supercritical CO₂-Energized Fracturing

by Xiaolun Yan, Ting Zuo, Jianping Lan, Yu Jia and Cong Xiao

Energies 2025, 18(3), 515; https://doi.org/10.3390/en18030515 - 23 Jan 2025

Viewed by 578

Abstract

This study systematically performs multi-scale numerical investigation of supercritical CO₂-energized fracturing, widely employed for enhanced oil recovery (EOR) in tight oil and gas reservoirs. Two distinct models, spanning from core scale to field scale, are designed to explore the diffusion patterns of CO₂ into the matrix and its impact on crude oil production at varying scales. The core-scale model employs discrete grid regions to simulate the interaction between fractures and the core, facilitating a comprehensive understanding of CO₂ diffusion and its interaction with crude oil. Based on the core-scale numerical model, the wellbore treatment process is simulated, investigating CO₂ distribution within the core and its influence on crude oil during the well treatment phase. The field-scale model employs a series of grids to simulate fractures, the matrix, and the treatment zone. Additionally, a dilation model is employed to simulate fracture initiation and closure during CO₂ fracturing and production processes. The model explores CO₂ diffusion and its interaction with crude oil at different shut-in times and various injection rates, analyzing their impact on cumulative oil production within a year. The study concludes that during shut-in, CO₂ continues to diffuse deeper into the matrix until CO₂ concentration reaches an equilibrium within a certain range. At the core scale, CO₂ penetrates approximately 4 cm into the core after a 15-day shut-in, effectively reducing the viscosity within a range of about 3.5 cm. At the field scale, CO₂ diffusion extends up to approximately 4 m, with an effective viscosity reduction zone of about 3 m. Results suggest that, theoretically, higher injection rates and longer shut-in times yield better EOR results. However, considering economic factors, a 20-day shut-in period is preferred. Different injection rates indicate varying fracture conduction capabilities upon gas injection completion. Full article

(This article belongs to the Special Issue Oil and Gas Reservoirs: Phase Behavior, Seepage Mechanisms, Productivity Prediction, and Novel Modelling Methods—3rd Edition)

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