LAPSE:2023.15004
Published Article

LAPSE:2023.15004
A Production Performance Model of the Cyclic Steam Stimulation Process in Multilayer Heavy Oil Reservoirs
March 2, 2023
Abstract
Cyclic steam stimulation (CSS) is a typical enhanced oil recovery method for heavy oil reservoirs. In this paper, a new model for the productivity of a CSS well in multilayer heavy oil reservoirs is proposed. First, for the steam volume of each formation layer, it is proposed that the total steam injection volume will be split by the formation factor (Kh) for the commingled steam injection mode. Then, based on the equivalent flow resistance principle, the productivity model can be derived. In this model, the heavy oil reservoir is composed of a cold zone, a hot water zone, and a steam zone. Next, using the energy conservation law, the equivalent heating radius can be calculated with the consideration of the steam overlay. Simultaneously, a correlation between the threshold pressure gradient (TPG) and oil mobility is also applied for the productivity formula in the cold zone and the hot water zone. Afterward, this model is validated by comparing the simulation results with the results of an actual CNOOC CSS well. A good agreement is observed, and the relative error of the cumulative oil production is about 2.20%. The sensitivity analysis results indicate that the effect of the bottom hole pressure is the most significant, followed by the TPG, and the effect of the steam overlay is relatively slight. The formation factor can affect the splitting of the steam volume in each layer; thus, the oil production rate will be impacted. The proposed mathematical model in this paper provides an effective method for the prediction of preliminary productivity of a CSS well in a multilayer heavy oil reservoir.
Cyclic steam stimulation (CSS) is a typical enhanced oil recovery method for heavy oil reservoirs. In this paper, a new model for the productivity of a CSS well in multilayer heavy oil reservoirs is proposed. First, for the steam volume of each formation layer, it is proposed that the total steam injection volume will be split by the formation factor (Kh) for the commingled steam injection mode. Then, based on the equivalent flow resistance principle, the productivity model can be derived. In this model, the heavy oil reservoir is composed of a cold zone, a hot water zone, and a steam zone. Next, using the energy conservation law, the equivalent heating radius can be calculated with the consideration of the steam overlay. Simultaneously, a correlation between the threshold pressure gradient (TPG) and oil mobility is also applied for the productivity formula in the cold zone and the hot water zone. Afterward, this model is validated by comparing the simulation results with the results of an actual CNOOC CSS well. A good agreement is observed, and the relative error of the cumulative oil production is about 2.20%. The sensitivity analysis results indicate that the effect of the bottom hole pressure is the most significant, followed by the TPG, and the effect of the steam overlay is relatively slight. The formation factor can affect the splitting of the steam volume in each layer; thus, the oil production rate will be impacted. The proposed mathematical model in this paper provides an effective method for the prediction of preliminary productivity of a CSS well in a multilayer heavy oil reservoir.
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Keywords
cyclic steam stimulation, heavy oil reservoir, productivity, steam overlay, threshold pressure gradient
Subject
Suggested Citation
Fan T, Xu W, Zheng W, Jiang W, Jiang X, Wang T, Dong X. A Production Performance Model of the Cyclic Steam Stimulation Process in Multilayer Heavy Oil Reservoirs. (2023). LAPSE:2023.15004
Author Affiliations
Fan T: State Key Laboratory of Offshore Oil Exploitation, Beijing 100028, China; CNOOC Research Institute Ltd., Beijing 100028, China
Xu W: China National Offshore Oil Corporation, Beijing 100010, China
Zheng W: State Key Laboratory of Offshore Oil Exploitation, Beijing 100028, China; CNOOC Research Institute Ltd., Beijing 100028, China
Jiang W: China National Offshore Oil Corporation, Beijing 100010, China
Jiang X: State Key Laboratory of Petroleum Resources and Prospecting, China University of Petroleum (Beijing), Beijing 102249, China
Wang T: State Key Laboratory of Offshore Oil Exploitation, Beijing 100028, China; CNOOC Research Institute Ltd., Beijing 100028, China
Dong X: State Key Laboratory of Petroleum Resources and Prospecting, China University of Petroleum (Beijing), Beijing 102249, China
Xu W: China National Offshore Oil Corporation, Beijing 100010, China
Zheng W: State Key Laboratory of Offshore Oil Exploitation, Beijing 100028, China; CNOOC Research Institute Ltd., Beijing 100028, China
Jiang W: China National Offshore Oil Corporation, Beijing 100010, China
Jiang X: State Key Laboratory of Petroleum Resources and Prospecting, China University of Petroleum (Beijing), Beijing 102249, China
Wang T: State Key Laboratory of Offshore Oil Exploitation, Beijing 100028, China; CNOOC Research Institute Ltd., Beijing 100028, China
Dong X: State Key Laboratory of Petroleum Resources and Prospecting, China University of Petroleum (Beijing), Beijing 102249, China
Journal Name
Energies
Volume
15
Issue
5
First Page
1757
Year
2022
Publication Date
2022-02-26
ISSN
1996-1073
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PII: en15051757, Publication Type: Journal Article
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https://doi.org/10.3390/en15051757
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