Numerical Analysis of Multiple Factors Affecting Hydraulic Fracturing in Heterogeneous Reservoirs Using a Coupled Hydraulic-Mechanical-Damage Model
Hydraulic fracturing performance, affected by multiple factors, was essential to the economic exploitation of oil and gas in heterogeneous unconventional reservoirs. Multifactor analysis can gain insight into the fracturing response of reservoirs and in turn optimize the treatment design. Based on c...
Saved in:
| Main Authors: | , , , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2021-01-01
|
| Series: | Geofluids |
| Online Access: | http://dx.doi.org/10.1155/2021/5552287 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1849695861919973376 |
|---|---|
| author | Tao Xu Mingyang Zhai Bo Huang Liaoyuan Zhang Aishan Li Quansheng Zhang Zilin Zhang Lei Wang Lianchong Li |
| author_facet | Tao Xu Mingyang Zhai Bo Huang Liaoyuan Zhang Aishan Li Quansheng Zhang Zilin Zhang Lei Wang Lianchong Li |
| author_sort | Tao Xu |
| collection | DOAJ |
| description | Hydraulic fracturing performance, affected by multiple factors, was essential to the economic exploitation of oil and gas in heterogeneous unconventional reservoirs. Multifactor analysis can gain insight into the fracturing response of reservoirs and in turn optimize the treatment design. Based on characterizations of the geological setting of a heterogeneous glutenite reservoir, the hydraulic fracture (HF) initiation and propagation process, as well as the stimulated reservoir volume (SRV), were simulated and analyzed using a coupled hydraulic-mechanical-damage model. The Weibull distribution was employed to describe rock heterogeneity. The numerical model was verified with microseism (MS) interpretation results of HF geometry. A multifactor analysis and optimization workflow integrating response surface methodology, central composite design (CCD), and numerical simulations was proposed to investigate the coupling effects of multiple geomechanical and hydrofracturing factors on SRV and identify the optimum design of fracturing treatment. The results showed that the horizontal stress difference and injection rate were the most significant factors to control the SRV. Increasing the injection rate and reducing fluid viscosity may contribute to improving the SRV. It is more difficult to increase the SRV at higher horizontal stress difference than at lower horizontal stress difference. The multifactor analysis and optimization workflow introduced in this work was a practical and effective method to control the HF geometry and improve the SRV. This study provided a deep understanding of the hydraulic fracturing mechanism and possessed theoretical significance for treatment design. |
| format | Article |
| id | doaj-art-d10beee7508c49c8a19d03eb9e5a478a |
| institution | DOAJ |
| issn | 1468-8115 1468-8123 |
| language | English |
| publishDate | 2021-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Geofluids |
| spelling | doaj-art-d10beee7508c49c8a19d03eb9e5a478a2025-08-20T03:19:38ZengWileyGeofluids1468-81151468-81232021-01-01202110.1155/2021/55522875552287Numerical Analysis of Multiple Factors Affecting Hydraulic Fracturing in Heterogeneous Reservoirs Using a Coupled Hydraulic-Mechanical-Damage ModelTao Xu0Mingyang Zhai1Bo Huang2Liaoyuan Zhang3Aishan Li4Quansheng Zhang5Zilin Zhang6Lei Wang7Lianchong Li8Shengli Oilfield Branch Company, SINOPEC, Dongying 257000, ChinaCenter of Rock Instability and Seismicity Research, School of Resources and Civil Engineering, Northeastern University, Shenyang 110819, ChinaShengli Oilfield Branch Company, SINOPEC, Dongying 257000, ChinaShengli Oilfield Branch Company, SINOPEC, Dongying 257000, ChinaShengli Oilfield Branch Company, SINOPEC, Dongying 257000, ChinaShengli Oilfield Branch Company, SINOPEC, Dongying 257000, ChinaShengli Oilfield Branch Company, SINOPEC, Dongying 257000, ChinaShengli Oilfield Branch Company, SINOPEC, Dongying 257000, ChinaCenter of Rock Instability and Seismicity Research, School of Resources and Civil Engineering, Northeastern University, Shenyang 110819, ChinaHydraulic fracturing performance, affected by multiple factors, was essential to the economic exploitation of oil and gas in heterogeneous unconventional reservoirs. Multifactor analysis can gain insight into the fracturing response of reservoirs and in turn optimize the treatment design. Based on characterizations of the geological setting of a heterogeneous glutenite reservoir, the hydraulic fracture (HF) initiation and propagation process, as well as the stimulated reservoir volume (SRV), were simulated and analyzed using a coupled hydraulic-mechanical-damage model. The Weibull distribution was employed to describe rock heterogeneity. The numerical model was verified with microseism (MS) interpretation results of HF geometry. A multifactor analysis and optimization workflow integrating response surface methodology, central composite design (CCD), and numerical simulations was proposed to investigate the coupling effects of multiple geomechanical and hydrofracturing factors on SRV and identify the optimum design of fracturing treatment. The results showed that the horizontal stress difference and injection rate were the most significant factors to control the SRV. Increasing the injection rate and reducing fluid viscosity may contribute to improving the SRV. It is more difficult to increase the SRV at higher horizontal stress difference than at lower horizontal stress difference. The multifactor analysis and optimization workflow introduced in this work was a practical and effective method to control the HF geometry and improve the SRV. This study provided a deep understanding of the hydraulic fracturing mechanism and possessed theoretical significance for treatment design.http://dx.doi.org/10.1155/2021/5552287 |
| spellingShingle | Tao Xu Mingyang Zhai Bo Huang Liaoyuan Zhang Aishan Li Quansheng Zhang Zilin Zhang Lei Wang Lianchong Li Numerical Analysis of Multiple Factors Affecting Hydraulic Fracturing in Heterogeneous Reservoirs Using a Coupled Hydraulic-Mechanical-Damage Model Geofluids |
| title | Numerical Analysis of Multiple Factors Affecting Hydraulic Fracturing in Heterogeneous Reservoirs Using a Coupled Hydraulic-Mechanical-Damage Model |
| title_full | Numerical Analysis of Multiple Factors Affecting Hydraulic Fracturing in Heterogeneous Reservoirs Using a Coupled Hydraulic-Mechanical-Damage Model |
| title_fullStr | Numerical Analysis of Multiple Factors Affecting Hydraulic Fracturing in Heterogeneous Reservoirs Using a Coupled Hydraulic-Mechanical-Damage Model |
| title_full_unstemmed | Numerical Analysis of Multiple Factors Affecting Hydraulic Fracturing in Heterogeneous Reservoirs Using a Coupled Hydraulic-Mechanical-Damage Model |
| title_short | Numerical Analysis of Multiple Factors Affecting Hydraulic Fracturing in Heterogeneous Reservoirs Using a Coupled Hydraulic-Mechanical-Damage Model |
| title_sort | numerical analysis of multiple factors affecting hydraulic fracturing in heterogeneous reservoirs using a coupled hydraulic mechanical damage model |
| url | http://dx.doi.org/10.1155/2021/5552287 |
| work_keys_str_mv | AT taoxu numericalanalysisofmultiplefactorsaffectinghydraulicfracturinginheterogeneousreservoirsusingacoupledhydraulicmechanicaldamagemodel AT mingyangzhai numericalanalysisofmultiplefactorsaffectinghydraulicfracturinginheterogeneousreservoirsusingacoupledhydraulicmechanicaldamagemodel AT bohuang numericalanalysisofmultiplefactorsaffectinghydraulicfracturinginheterogeneousreservoirsusingacoupledhydraulicmechanicaldamagemodel AT liaoyuanzhang numericalanalysisofmultiplefactorsaffectinghydraulicfracturinginheterogeneousreservoirsusingacoupledhydraulicmechanicaldamagemodel AT aishanli numericalanalysisofmultiplefactorsaffectinghydraulicfracturinginheterogeneousreservoirsusingacoupledhydraulicmechanicaldamagemodel AT quanshengzhang numericalanalysisofmultiplefactorsaffectinghydraulicfracturinginheterogeneousreservoirsusingacoupledhydraulicmechanicaldamagemodel AT zilinzhang numericalanalysisofmultiplefactorsaffectinghydraulicfracturinginheterogeneousreservoirsusingacoupledhydraulicmechanicaldamagemodel AT leiwang numericalanalysisofmultiplefactorsaffectinghydraulicfracturinginheterogeneousreservoirsusingacoupledhydraulicmechanicaldamagemodel AT lianchongli numericalanalysisofmultiplefactorsaffectinghydraulicfracturinginheterogeneousreservoirsusingacoupledhydraulicmechanicaldamagemodel |