AI Chat Paper
Note: Please note that the following content is generated by AMiner AI. SciOpen does not take any responsibility related to this content.
{{lang === 'zh_CN' ? '文章概述' : 'Summary'}}
{{lang === 'en_US' ? '中' : 'Eng'}}
Chat more with AI
PDF (3.9 MB)
Collect
Submit Manuscript AI Chat Paper
Show Outline
Outline
Show full outline
Hide outline
Outline
Show full outline
Hide outline
Original Paper | Open Access

A multi-mechanism numerical simulation model for CO2-EOR and storage in fractured shale oil reservoirs

Yuan-Zheng Wanga, Ren-Yi Caoa ( ), Zhi-Hao Jiaa, Bin-Yu Wanga, Ming Mab, Lin-Song Chenga
College of Petroleum Engineering, China University of Petroleum (Beijing), Beijing, 102249, China
John & Willie Leone Department of Energy & Mineral Engineering, The Pennsylvania State University, University Park, 16802, PA, USA

Edited by Yan-Hua Sun

Show Author Information

Abstract

Under the policy background and advocacy of carbon capture, utilization, and storage (CCUS), CO2-EOR has become a promising direction in the shale oil reservoir industry. The multi-scale pore structure distribution and fracture structure lead to complex multiphase flow, comprehensively considering multiple mechanisms is crucial for development and CO2 storage in fractured shale reservoirs. In this paper, a multi-mechanism coupled model is developed by MATLAB. Compared to the traditional Eclipse 300 and MATLAB Reservoir Simulation Toolbox (MRST), this model considers the impact of pore structure on fluid phase behavior by the modified Peng–Robinson equation of state (PR-EOS), and the effect simultaneously radiate to Maxwell–Stefan (M–S) diffusion, stress sensitivity, the nano-confinement (N-C) effect. Moreover, a modified embedded discrete fracture model (EDFM) is used to model the complex fractures, which optimizes connection types and half-transmissibility calculation approaches between non-neighboring connections (NNCs). The full implicit equation adopts the finite volume method (FVM) and Newton–Raphson iteration for discretization and solution. The model verification with the Eclipse 300 and MRST is satisfactory. The results show that the interaction between the mechanisms significantly affects the production performance and storage characteristics. The effect of molecular diffusion may be overestimated in oil-dominated (liquid-dominated) shale reservoirs. The well spacing and injection gas rate are the most crucial factors affecting the production by sensitivity analysis. Moreover, the potential gas invasion risk is mentioned. This model provides a reliable theoretical basis for CO2-EOR and sequestration in shale oil reservoirs.

References

【1】
【1】
 
 
Petroleum Science
Pages 1814-1828

{{item.num}}

Comments on this article

Go to comment

< Back to all reports

Review Status: {{reviewData.commendedNum}} Commended , {{reviewData.revisionRequiredNum}} Revision Required , {{reviewData.notCommendedNum}} Not Commended Under Peer Review

Review Comment

Close
Close
Cite this article:
Wang Y-Z, Cao R-Y, Jia Z-H, et al. A multi-mechanism numerical simulation model for CO2-EOR and storage in fractured shale oil reservoirs. Petroleum Science, 2024, 21(3): 1814-1828. https://doi.org/10.1016/j.petsci.2024.02.006

1142

Views

14

Downloads

57

Crossref

53

Web of Science

55

Scopus

4

CSCD

Received: 10 October 2023
Revised: 29 January 2024
Accepted: 04 February 2024
Published: 12 February 2024
© 2024 The Authors.

This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).