Study on the Fracturing and Hit Behavior of Shale Reservoir Parent–Child Wells

To enhance production efficiency, shale gas development often employs tighter well spacing and aggressive fracturing strategies. However, these approaches can result in well interference, where overlapping fracture networks between adjacent wells adversely affect gas production. This study introduces a comprehensive evaluation method for assessing fracture interference, with a specific focus on the role of Repeatedly Stimulated Volume (RSV). By integrating fracture network analysis with fracturing fluid migration modeling, we propose a combined static and dynamic risk assessment framework. The results demonstrate that RSV is a critical indicator of fracture interference—larger RSV values signify greater fracture overlap and intensified fluid migration between wells. Key engineering parameters influencing RSV are identified, including well spacing, fluid volume, and fracture design. Supported by real-time monitoring techniques such as microseismic events and pressure data, our dynamic assessment approach enables proactive management of interference risks. This work offers practical insights for optimizing shale gas development, allowing for improved production efficiency while mitigating interference-related drawbacks.

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Publication Details

Journal
Processes
Published
2026-01-06
DOI
https://doi.org/10.3390/pr14020196
Citations
1
Primary Topic
Hydraulic Fracturing and Reservoir Analysis
Type
article
Field-Weighted Citation Impact
19.05

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article

Study on the Fracturing and Hit Behavior of Shale Reservoir Parent–Child Wells

Zupeng LIU, Guanglong Sheng, Guang Lu, Zhibin Yi et al.
1 citations
Processes
Hydraulic Fracturing and Reservoir Analysis
19.05
article

Study on the Fracturing and Hit Behavior of Shale Reservoir Parent–Child Wells

Zupeng LIU, Guanglong Sheng, Guang Lu, Zhibin Yi, Chenjie Luo, Xiangdong Xing
article en
1 citations

Abstract

To enhance production efficiency, shale gas development often employs tighter well spacing and aggressive fracturing strategies. However, these approaches can result in well interference, where overlapping fracture networks between adjacent wells adversely affect gas production. This study introduces a comprehensive evaluation method for assessing fracture interference, with a specific focus on the role of Repeatedly Stimulated Volume (RSV). By integrating fracture network analysis with fracturing fluid migration modeling, we propose a combined static and dynamic risk assessment framework. The results demonstrate that RSV is a critical indicator of fracture interference—larger RSV values signify greater fracture overlap and intensified fluid migration between wells. Key engineering parameters influencing RSV are identified, including well spacing, fluid volume, and fracture design. Supported by real-time monitoring techniques such as microseismic events and pressure data, our dynamic assessment approach enables proactive management of interference risks. This work offers practical insights for optimizing shale gas development, allowing for improved production efficiency while mitigating interference-related drawbacks.

ProcessesVol. 14(2)
Sinopec (China) (CN), Yangtze University (CN), State Key Laboratory of Oil and Gas Reservoir Geology and Exploitation (CN), China University of Petroleum, East China (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 3%
Hydraulic Fracturing and Reservoir Analysis
19.05
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