LAPSE:2023.36554
Published Article

LAPSE:2023.36554
A Transient Productivity Prediction Model for Horizontal Wells Coupled with Oil and Gas Two-Phase Seepage and Wellbore Flow
August 3, 2023
Abstract
Capacity prediction is the basis for the optimization of oil and gas well production work systems and parameter optimization design. Horizontal wells are becoming increasingly popular for oil and gas extraction. However, the seepage law of reservoirs produced with horizontal wells is more complicated than that of reservoirs produced with vertical wells, especially when the bottom hole flowing pressure or formation pressure is less than the saturation pressure of crude oil in the reservoir. Oil and gas two-phase seepage can occur in a part or all areas of the wellbore and reservoir. Because the oil and gas two-phase seepage characteristics of reservoir oil well production will be reduced—possibly greatly reduced—the formation seepage law is complex. Thus, it is very important to better predict the horizontal well capacity. To address this, a method and process of establishing a transient calculation model of two-phase flow in horizontal wells are introduced in detail from three aspects: fluid physical properties, reservoir oil and gas two-phase seepage, and the coupling model of the inflow performance and flow in the wellbore. The model is found to be reliable through verification with production data from five wells in two oilfields. The established model simplifies the reservoir model, does not involve very complex meshing, and only simulates one well. Therefore, the calculation speed will be faster than that of other reservoir numerical simulation methods under the same conditions.
Capacity prediction is the basis for the optimization of oil and gas well production work systems and parameter optimization design. Horizontal wells are becoming increasingly popular for oil and gas extraction. However, the seepage law of reservoirs produced with horizontal wells is more complicated than that of reservoirs produced with vertical wells, especially when the bottom hole flowing pressure or formation pressure is less than the saturation pressure of crude oil in the reservoir. Oil and gas two-phase seepage can occur in a part or all areas of the wellbore and reservoir. Because the oil and gas two-phase seepage characteristics of reservoir oil well production will be reduced—possibly greatly reduced—the formation seepage law is complex. Thus, it is very important to better predict the horizontal well capacity. To address this, a method and process of establishing a transient calculation model of two-phase flow in horizontal wells are introduced in detail from three aspects: fluid physical properties, reservoir oil and gas two-phase seepage, and the coupling model of the inflow performance and flow in the wellbore. The model is found to be reliable through verification with production data from five wells in two oilfields. The established model simplifies the reservoir model, does not involve very complex meshing, and only simulates one well. Therefore, the calculation speed will be faster than that of other reservoir numerical simulation methods under the same conditions.
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Keywords
capacity prediction, horizontal wells, saturation pressure, transient model, two-phase seepage
Subject
Suggested Citation
Ke W, Luo W, Miao S, Chen W, Hou Y. A Transient Productivity Prediction Model for Horizontal Wells Coupled with Oil and Gas Two-Phase Seepage and Wellbore Flow. (2023). LAPSE:2023.36554
Author Affiliations
Ke W: Petroleum Exploration and Production Research Institute of SINOPEC, Beijing 100083, China; State Key Laboratory of Shale Oil and Gas Enrichment Mechanisms and Effective Development, Beijing 100083, China; Sinopec Key Laboratory of Shale Oil/Gas Exploratio
Luo W: Petroleum Exploration and Production Research Institute of SINOPEC, Beijing 100083, China; State Key Laboratory of Shale Oil and Gas Enrichment Mechanisms and Effective Development, Beijing 100083, China; Sinopec Key Laboratory of Shale Oil/Gas Exploratio [ORCID]
Miao S: Petroleum Engineering Institute, Yangtze University, Wuhan 430100, China; Key Laboratory of Drilling and Production Engineering for Oil and Gas, Wuhan 430100, China
Chen W: Petroleum Engineering Institute, Yangtze University, Wuhan 430100, China; Key Laboratory of Drilling and Production Engineering for Oil and Gas, Wuhan 430100, China
Hou Y: Petroleum Engineering Institute, Yangtze University, Wuhan 430100, China; Key Laboratory of Drilling and Production Engineering for Oil and Gas, Wuhan 430100, China
Luo W: Petroleum Exploration and Production Research Institute of SINOPEC, Beijing 100083, China; State Key Laboratory of Shale Oil and Gas Enrichment Mechanisms and Effective Development, Beijing 100083, China; Sinopec Key Laboratory of Shale Oil/Gas Exploratio [ORCID]
Miao S: Petroleum Engineering Institute, Yangtze University, Wuhan 430100, China; Key Laboratory of Drilling and Production Engineering for Oil and Gas, Wuhan 430100, China
Chen W: Petroleum Engineering Institute, Yangtze University, Wuhan 430100, China; Key Laboratory of Drilling and Production Engineering for Oil and Gas, Wuhan 430100, China
Hou Y: Petroleum Engineering Institute, Yangtze University, Wuhan 430100, China; Key Laboratory of Drilling and Production Engineering for Oil and Gas, Wuhan 430100, China
Journal Name
Processes
Volume
11
Issue
7
First Page
2012
Year
2023
Publication Date
2023-07-05
ISSN
2227-9717
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Original Submission
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PII: pr11072012, Publication Type: Journal Article
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LAPSE:2023.36554
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https://doi.org/10.3390/pr11072012
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Calvin Tsay
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