LAPSE:2024.1261
Published Article

LAPSE:2024.1261
Optimization Simulation of Hydraulic Fracture Parameters for Highly Deviated Wells in Tight Oil Reservoirs, Based on the Reservoir−Fracture Productivity Coupling Model
June 21, 2024
Abstract
The production potential of highly deviated wells cannot be fully realized by conventional acid fracturing, as it can only generate a single fracture. To fully enhance the productivity of highly deviated wells, it is necessary to initiate multiple fractures along a prolonged well section to ensure the optimal number of fractures, thereby maximizing the economic returns post-stimulation. Thus, the number of fractures is a crucial parameter in the acid fracturing design of highly deviated wells. Considering factors such as the random distribution of natural fractures within the reservoir and interference between fractures during production, and, based on the oil−water two-phase flow equation, a three-dimensional reservoir−fracture production coupling model and its seepage difference model are established to simulate the production performance of highly deviated wells under varying conditions, including the number of fractures, fracture spacing, and conductivity parameters. A numerical model for the number of acid fracturing fractures in highly deviated wells is also established, in conjunction with an economic evaluation model. The simulation results indicate that the daily oil production of highly deviated wells increases with the increase in fracture number, fracture conductivity, fracture length, and reservoir permeability. However, over time, the daily oil production gradually decreases. Similarly, the cumulative production also increases with these parameters, but shows a downward trend over time. By conducting numerical simulations to evaluate the productivity and economy of highly deviated wells post-acid fracturing, it is determined that the optimal number of fractures to achieve maximum efficiency is six. The reliability of this result is confirmed by the pressure distribution cloud map of the formation after acid fracturing in highly deviated wells.
The production potential of highly deviated wells cannot be fully realized by conventional acid fracturing, as it can only generate a single fracture. To fully enhance the productivity of highly deviated wells, it is necessary to initiate multiple fractures along a prolonged well section to ensure the optimal number of fractures, thereby maximizing the economic returns post-stimulation. Thus, the number of fractures is a crucial parameter in the acid fracturing design of highly deviated wells. Considering factors such as the random distribution of natural fractures within the reservoir and interference between fractures during production, and, based on the oil−water two-phase flow equation, a three-dimensional reservoir−fracture production coupling model and its seepage difference model are established to simulate the production performance of highly deviated wells under varying conditions, including the number of fractures, fracture spacing, and conductivity parameters. A numerical model for the number of acid fracturing fractures in highly deviated wells is also established, in conjunction with an economic evaluation model. The simulation results indicate that the daily oil production of highly deviated wells increases with the increase in fracture number, fracture conductivity, fracture length, and reservoir permeability. However, over time, the daily oil production gradually decreases. Similarly, the cumulative production also increases with these parameters, but shows a downward trend over time. By conducting numerical simulations to evaluate the productivity and economy of highly deviated wells post-acid fracturing, it is determined that the optimal number of fractures to achieve maximum efficiency is six. The reliability of this result is confirmed by the pressure distribution cloud map of the formation after acid fracturing in highly deviated wells.
Record ID
Keywords
fracture, highly deviated well, numerical model, productivity, stimulation
Subject
Suggested Citation
Mao C, Huang F, Hu Q, Liu S, Zhang C, Lei X. Optimization Simulation of Hydraulic Fracture Parameters for Highly Deviated Wells in Tight Oil Reservoirs, Based on the Reservoir−Fracture Productivity Coupling Model. (2024). LAPSE:2024.1261
Author Affiliations
Mao C: Shanxi CBM Branch of PetroChina Co., Ltd., Changzhi 046000, China
Huang F: Jiangsu Key Laboratory of Coal-Based Greenhouse Gas Control and Utilization, China University of Mining and Technology, Xuzhou 221008, China; Carbon Neutrality Institute, China University of Mining and Technology, Xuzhou 221008, China
Hu Q: Shanxi CBM Branch of PetroChina Co., Ltd., Changzhi 046000, China
Liu S: Jiangsu Key Laboratory of Coal-Based Greenhouse Gas Control and Utilization, China University of Mining and Technology, Xuzhou 221008, China; Carbon Neutrality Institute, China University of Mining and Technology, Xuzhou 221008, China [ORCID]
Zhang C: Shanxi CBM Branch of PetroChina Co., Ltd., Changzhi 046000, China
Lei X: Shanxi CBM Branch of PetroChina Co., Ltd., Changzhi 046000, China
Huang F: Jiangsu Key Laboratory of Coal-Based Greenhouse Gas Control and Utilization, China University of Mining and Technology, Xuzhou 221008, China; Carbon Neutrality Institute, China University of Mining and Technology, Xuzhou 221008, China
Hu Q: Shanxi CBM Branch of PetroChina Co., Ltd., Changzhi 046000, China
Liu S: Jiangsu Key Laboratory of Coal-Based Greenhouse Gas Control and Utilization, China University of Mining and Technology, Xuzhou 221008, China; Carbon Neutrality Institute, China University of Mining and Technology, Xuzhou 221008, China [ORCID]
Zhang C: Shanxi CBM Branch of PetroChina Co., Ltd., Changzhi 046000, China
Lei X: Shanxi CBM Branch of PetroChina Co., Ltd., Changzhi 046000, China
Journal Name
Processes
Volume
12
Issue
1
First Page
179
Year
2024
Publication Date
2024-01-12
ISSN
2227-9717
Version Comments
Original Submission
Other Meta
PII: pr12010179, Publication Type: Journal Article
Record Map
Published Article

LAPSE:2024.1261
This Record
External Link

https://doi.org/10.3390/pr12010179
Publisher Version
Download
Meta
Record Statistics
Record Views
543
Version History
[v1] (Original Submission)
Jun 21, 2024
Verified by curator on
Jun 21, 2024
This Version Number
v1
Citations
Most Recent
This Version
URL Here
https://psecommunity.org/LAPSE:2024.1261
Record Owner
Auto Uploader for LAPSE
Links to Related Works
(0.08 seconds)
[0.08 s]
