Evaluate Hydraulic Fracturing Effectiveness by Combining Water Hammer Analysis and Unified Transient Analysis: A Case Study of Gulong Shale Oil

Summary Accurate evaluation of hydraulic-fracturing (HF) effectiveness in shale oil reservoirs remains challenging because of complex induced fracture networks and limited access to low-cost, high-resolution diagnostics. In this study, we present an integrated, data-driven workflow that combines water hammer analysis (WHA) and unified transient analysis (UTA) to quantify both stimulated fracture geometry and the production-contributing fracture surface area from routinely available shut-in pressure and production records. WHA interprets early-time shut-in pressure oscillations to infer fracture complexity and characteristic dimensions, while UTA uses superposition principle and slope analysis to estimate the effective fracture surface area during production. Field case study indicates that the fracture surface area estimated by WHA is less than half of that estimated by UTA*, indicating that a large fraction of the stimulated volume may not contribute to sustained flow. Correlating WHA and UTA results with logging data and operational parameters helps identify key drivers of fracture usage and provides actionable guidance to refine stimulation designs in data-limited shale plays. *Corrigendum uploaded 17 November 2025; see Supplementary Data section for details.

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Journal
SPE Journal
Published
2025-09-24
DOI
https://doi.org/10.2118/230315-pa
Primary Topic
Hydraulic Fracturing and Reservoir Analysis
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article
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article

Evaluate Hydraulic Fracturing Effectiveness by Combining Water Hammer Analysis and Unified Transient Analysis: A Case Study of Gulong Shale Oil

Zhu Mao, Yohchia Frank Chen, HanYi Wang
SPE Journal
Hydraulic Fracturing and Reservoir Analysis
article

Evaluate Hydraulic Fracturing Effectiveness by Combining Water Hammer Analysis and Unified Transient Analysis: A Case Study of Gulong Shale Oil

Zhu Mao, Yohchia Frank Chen, HanYi Wang
article en

Abstract

Summary Accurate evaluation of hydraulic-fracturing (HF) effectiveness in shale oil reservoirs remains challenging because of complex induced fracture networks and limited access to low-cost, high-resolution diagnostics. In this study, we present an integrated, data-driven workflow that combines water hammer analysis (WHA) and unified transient analysis (UTA) to quantify both stimulated fracture geometry and the production-contributing fracture surface area from routinely available shut-in pressure and production records. WHA interprets early-time shut-in pressure oscillations to infer fracture complexity and characteristic dimensions, while UTA uses superposition principle and slope analysis to estimate the effective fracture surface area during production. Field case study indicates that the fracture surface area estimated by WHA is less than half of that estimated by UTA*, indicating that a large fraction of the stimulated volume may not contribute to sustained flow. Correlating WHA and UTA results with logging data and operational parameters helps identify key drivers of fracture usage and provides actionable guidance to refine stimulation designs in data-limited shale plays. *Corrigendum uploaded 17 November 2025; see Supplementary Data section for details.

SPE JournalVol. 30(11)
Chongqing University (CN), Schlumberger (Ireland) (IE)
Openalex Percentile: Top 73%
Hydraulic Fracturing and Reservoir Analysis
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Evaluate Hydraulic Fracturing Effectiveness by Combining Water Hammer Analysis and Unified Transient Analysis: A Case Study of Gulong Shale Oil — Zhu Mao, Yohchia Frank Chen, et al. · SPE Journal (2025) | TGRS Research Map | TGRS