Evaluation of Steam Channeling Severity Between Cyclic Steam Simulation Wells in Offshore Heavy Oil Reservoirs Based on Cloud Model and Improved AHP-CRITIC Method

Steam channeling significantly affects the production performance of cyclic steam stimulation (CSS) wells in offshore heavy oil reservoirs. However, there remains a lack of effective methods for evaluating the steam channeling severity between CSS wells in offshore heavy oil reservoirs. This study develops a novel evaluation model to quantitatively evaluate the steam channeling severity between CSS wells in offshore heavy oil reservoirs via the improved AHP-CRITIC (IAHP-CRITIC) method and the cloud model. The results indicated that, compared with the reservoir survey results for the three typical reservoirs, the accuracies of the results obtained by the AHP, CRITIC, AHP-CRITIC, and IAHP-CRITIC methods were 88%, 52%, 92%, and 100%, respectively. Therefore, the IAHP-CRITIC method was more reliable than the other methods in terms of calculating the indicator weights and evaluating the steam channeling severity between the CSS wells. The Lw7 and Lw12 in the L reservoir and Rw2, Rw3, and Rw6 in the R reservoir exhibited strong steam channeling. It is necessary to control the steam channeling of these CSS wells. This is the first study to report the evaluation of steam channeling severity between CSS wells in offshore heavy oil reservoirs. This study provides an effective model to quantitatively evaluate the steam channeling severity between CSS wells and offers valuable insights for the selection of effective strategies to control the steam channeling between CSS wells and enhance offshore heavy oil recovery.

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Publication Details

Journal
Energies
Published
2025-10-14
DOI
https://doi.org/10.3390/en18205407
Primary Topic
Hydraulic Fracturing and Reservoir Analysis
Type
article
Field-Weighted Citation Impact
0.00

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article

Evaluation of Steam Channeling Severity Between Cyclic Steam Simulation Wells in Offshore Heavy Oil Reservoirs Based on Cloud Model and Improved AHP-CRITIC Method

Xiaofei Sun, Yongbin Zhao, Jianhua Bai, Jia Wen et al.
Energies
Hydraulic Fracturing and Reservoir Analysis
article

Evaluation of Steam Channeling Severity Between Cyclic Steam Simulation Wells in Offshore Heavy Oil Reservoirs Based on Cloud Model and Improved AHP-CRITIC Method

Xiaofei Sun, Yongbin Zhao, Jianhua Bai, Jia Wen, Zhiyuan Wang, Qiuxia Wang, Yigang Liu
article en

Abstract

Steam channeling significantly affects the production performance of cyclic steam stimulation (CSS) wells in offshore heavy oil reservoirs. However, there remains a lack of effective methods for evaluating the steam channeling severity between CSS wells in offshore heavy oil reservoirs. This study develops a novel evaluation model to quantitatively evaluate the steam channeling severity between CSS wells in offshore heavy oil reservoirs via the improved AHP-CRITIC (IAHP-CRITIC) method and the cloud model. The results indicated that, compared with the reservoir survey results for the three typical reservoirs, the accuracies of the results obtained by the AHP, CRITIC, AHP-CRITIC, and IAHP-CRITIC methods were 88%, 52%, 92%, and 100%, respectively. Therefore, the IAHP-CRITIC method was more reliable than the other methods in terms of calculating the indicator weights and evaluating the steam channeling severity between the CSS wells. The Lw7 and Lw12 in the L reservoir and Rw2, Rw3, and Rw6 in the R reservoir exhibited strong steam channeling. It is necessary to control the steam channeling of these CSS wells. This is the first study to report the evaluation of steam channeling severity between CSS wells in offshore heavy oil reservoirs. This study provides an effective model to quantitatively evaluate the steam channeling severity between CSS wells and offers valuable insights for the selection of effective strategies to control the steam channeling between CSS wells and enhance offshore heavy oil recovery.

EnergiesVol. 18(20)
China National Offshore Oil Corporation (China) (CN), China University of Petroleum, East China (CN)
China National Offshore Oil Corporation
Openalex Percentile: Top 70%
Hydraulic Fracturing and Reservoir Analysis
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