Research and application of rock fracturing pressure prediction method for deep oil reservoirs
Abstract The combination of extreme formation pressure, significant burial depth, and dense lithology in deep and ultra-deep reservoirs results in abnormal fracturing pressure behavior. This phenomenon elevates operational pressures during fracturing acidizing treatments while amplifying associated...
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Nature Portfolio
2025-03-01
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| Series: | Scientific Reports |
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| Online Access: | https://doi.org/10.1038/s41598-025-94764-x |
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| author | Yanlin Zhang Yang Tian Lina Sun Zhufeiye Yuan Yi Wang |
| author_facet | Yanlin Zhang Yang Tian Lina Sun Zhufeiye Yuan Yi Wang |
| author_sort | Yanlin Zhang |
| collection | DOAJ |
| description | Abstract The combination of extreme formation pressure, significant burial depth, and dense lithology in deep and ultra-deep reservoirs results in abnormal fracturing pressure behavior. This phenomenon elevates operational pressures during fracturing acidizing treatments while amplifying associated engineering risks. Precise prediction of both reservoir fracturing pressure and pump injection pressure has become imperative under current technological constraints to ensure operational safety and successful reservoir stimulation. This study establishes a comprehensive fracturing pressure prediction framework through: Developing rock fracturing pressure models for open-hole and perforated completions based on near-wellbore stress distribution characteristics. Investigating fracture initiation mechanisms and corresponding computational models for perforation-altered stress fields. Deriving damage-adapted calculation models that account for stress variations in both completion types under formation impairment conditions. Numerical simulations demonstrate critical findings revealed that perforated completions reduce reservoir fracturing pressure by 10–15% compared to open-hole configurations, proving effective for pressure management. Formation damage induces stress redistribution, increasing fracturing pressure by 8–12%—a crucial factor for treatment design optimization. Maximum pressure reduction (18–22%) occurs when perforation orientation aligns within ± 40° of the maximum horizontal stress direction, beyond which fracture deviation triggers abrupt pressure escalation. Perforation density shows linear correlation with pressure reduction (3–5% decrease per 2 shots/m increase), while perforation dimensions exhibit limited impact (< 1% variation). The developed multi-completion prediction methodology provides dual engineering benefits: It enhances operational safety for hydraulic fracturing in deep reservoirs through reliable pressure forecasting, while serving as a strategic optimization tool for completion design—particularly in maximizing hydrocarbon recovery from challenging deep formations. This approach establishes a critical technical foundation for economically viable development of deep petroleum resources. |
| format | Article |
| id | doaj-art-9b52067a084c4c1cbaae82f2ff67b6b6 |
| institution | OA Journals |
| issn | 2045-2322 |
| language | English |
| publishDate | 2025-03-01 |
| publisher | Nature Portfolio |
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| series | Scientific Reports |
| spelling | doaj-art-9b52067a084c4c1cbaae82f2ff67b6b62025-08-20T02:10:12ZengNature PortfolioScientific Reports2045-23222025-03-0115111610.1038/s41598-025-94764-xResearch and application of rock fracturing pressure prediction method for deep oil reservoirsYanlin Zhang0Yang Tian1Lina Sun2Zhufeiye Yuan3Yi Wang4College of Resources and Environment, Yangtze UniversitySchool of Geosciences, Yangtze UniversityCooperative Innovation Center of Unconventional Oil and Gas (Ministry of Education and Hubei Province), Yangtze University, Wuhan, Hubei Geological SurveySchool of Geosciences, Yangtze UniversityHubei Geological SurveyAbstract The combination of extreme formation pressure, significant burial depth, and dense lithology in deep and ultra-deep reservoirs results in abnormal fracturing pressure behavior. This phenomenon elevates operational pressures during fracturing acidizing treatments while amplifying associated engineering risks. Precise prediction of both reservoir fracturing pressure and pump injection pressure has become imperative under current technological constraints to ensure operational safety and successful reservoir stimulation. This study establishes a comprehensive fracturing pressure prediction framework through: Developing rock fracturing pressure models for open-hole and perforated completions based on near-wellbore stress distribution characteristics. Investigating fracture initiation mechanisms and corresponding computational models for perforation-altered stress fields. Deriving damage-adapted calculation models that account for stress variations in both completion types under formation impairment conditions. Numerical simulations demonstrate critical findings revealed that perforated completions reduce reservoir fracturing pressure by 10–15% compared to open-hole configurations, proving effective for pressure management. Formation damage induces stress redistribution, increasing fracturing pressure by 8–12%—a crucial factor for treatment design optimization. Maximum pressure reduction (18–22%) occurs when perforation orientation aligns within ± 40° of the maximum horizontal stress direction, beyond which fracture deviation triggers abrupt pressure escalation. Perforation density shows linear correlation with pressure reduction (3–5% decrease per 2 shots/m increase), while perforation dimensions exhibit limited impact (< 1% variation). The developed multi-completion prediction methodology provides dual engineering benefits: It enhances operational safety for hydraulic fracturing in deep reservoirs through reliable pressure forecasting, while serving as a strategic optimization tool for completion design—particularly in maximizing hydrocarbon recovery from challenging deep formations. This approach establishes a critical technical foundation for economically viable development of deep petroleum resources.https://doi.org/10.1038/s41598-025-94764-xDeep oil reservoirsCompletion methodsStress distributionFracturing pressureReservoir damage |
| spellingShingle | Yanlin Zhang Yang Tian Lina Sun Zhufeiye Yuan Yi Wang Research and application of rock fracturing pressure prediction method for deep oil reservoirs Scientific Reports Deep oil reservoirs Completion methods Stress distribution Fracturing pressure Reservoir damage |
| title | Research and application of rock fracturing pressure prediction method for deep oil reservoirs |
| title_full | Research and application of rock fracturing pressure prediction method for deep oil reservoirs |
| title_fullStr | Research and application of rock fracturing pressure prediction method for deep oil reservoirs |
| title_full_unstemmed | Research and application of rock fracturing pressure prediction method for deep oil reservoirs |
| title_short | Research and application of rock fracturing pressure prediction method for deep oil reservoirs |
| title_sort | research and application of rock fracturing pressure prediction method for deep oil reservoirs |
| topic | Deep oil reservoirs Completion methods Stress distribution Fracturing pressure Reservoir damage |
| url | https://doi.org/10.1038/s41598-025-94764-x |
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