LAPSE:2023.36894
Published Article
LAPSE:2023.36894
A Volume Fracturing Percolation Model for Tight Reservoir Vertical Wells
Dianfa Du, Peng Liu, Lichuan Ren, Yuan Li, Yujie Tang, Fanghui Hao
November 30, 2023
Based on the non-linear seepage characteristics of tight reservoirs and the reconstruction mode of vertical wells with actual volume fracturing, a seven-area percolation model for volume fracturing vertical wells in tight reservoirs is established. Laplace transform and Pedrosa transform are applied to obtain analytical solutions of bottom hole pressure and vertical well production under a constant production regime. After verifying the correctness of the model, the influence of the fracture network parameters on the pressure and production is studied. The research results indicate that as the permeability modulus increases, the production of volume fracturing vertical wells decreases. The penetration ratio of the main crack and the half-length of the main crack have a small impact on production, while the diversion capacity of the main crack has a significant impact on the initial production, but it is ultimately limited by the effective volume of the transformation. Under constant pressure conditions, the greater the width and permeability of the ESRV region, the higher the vertical well production rate is. The smaller the aspect ratio of the ESRV region, the higher the mid-term yield and the faster the yield decrease. The research results show guiding significance for the design of vertical well volume fracturing in tight reservoirs.
Keywords
Laplace transform, nonlinear seepage, productivity, volume fracturing vertical well
Suggested Citation
Du D, Liu P, Ren L, Li Y, Tang Y, Hao F. A Volume Fracturing Percolation Model for Tight Reservoir Vertical Wells. (2023). LAPSE:2023.36894
Author Affiliations
Du D: National Key Laboratory of Deep Oil and Gas, School of Petroleum Engineering, China University of Petroleum (East China), Qingdao 266580, China
Liu P: National Key Laboratory of Deep Oil and Gas, School of Petroleum Engineering, China University of Petroleum (East China), Qingdao 266580, China; Oil Production Engineering Institute of Daqing Oilfield Limited Company, Daqing 163000, China
Ren L: National Key Laboratory of Deep Oil and Gas, School of Petroleum Engineering, China University of Petroleum (East China), Qingdao 266580, China; Engineering and Technology Branch of CNOOC Energy Development Co., Tianjin 300452, China
Li Y: National Key Laboratory of Deep Oil and Gas, School of Petroleum Engineering, China University of Petroleum (East China), Qingdao 266580, China
Tang Y: National Key Laboratory of Deep Oil and Gas, School of Petroleum Engineering, China University of Petroleum (East China), Qingdao 266580, China
Hao F: National Key Laboratory of Deep Oil and Gas, School of Petroleum Engineering, China University of Petroleum (East China), Qingdao 266580, China
Journal Name
Processes
Volume
11
Issue
9
First Page
2575
Year
2023
Publication Date
2023-08-28
Published Version
ISSN
2227-9717
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Original Submission
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PII: pr11092575, Publication Type: Journal Article
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LAPSE:2023.36894
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doi:10.3390/pr11092575
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Nov 30, 2023
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CC BY 4.0
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[v1] (Original Submission)
Nov 30, 2023
 
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Nov 30, 2023
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Calvin Tsay
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