Fracture parameter diagnostic method during staged multi-cluster fracturing based on distributed temperature sensing
The Carter model is used to characterize the dynamic behaviors of fracture growth and fracturing fluid leakoff. A thermo-fluid coupling temperature response forward model is built considering the fluid flow and heat transfer in wellbore, fracture and reservoir. The influences of fracturing parameter...
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| Format: | Article |
| Language: | English |
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KeAi Communications Co., Ltd.
2025-04-01
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| Series: | Petroleum Exploration and Development |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S1876380425605829 |
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| author | Cao WEI Haitao LI Xiaohua ZHU Nan ZHANG Hongwen LUO Kun TU Shiqing CHENG |
| author_facet | Cao WEI Haitao LI Xiaohua ZHU Nan ZHANG Hongwen LUO Kun TU Shiqing CHENG |
| author_sort | Cao WEI |
| collection | DOAJ |
| description | The Carter model is used to characterize the dynamic behaviors of fracture growth and fracturing fluid leakoff. A thermo-fluid coupling temperature response forward model is built considering the fluid flow and heat transfer in wellbore, fracture and reservoir. The influences of fracturing parameters and fracture parameters on the responses of distributed temperature sensing (DTS) are analyzed, and a diagnosis method of fracture parameters is presented based on the simulated annealing algorithm. A field case study is introduced to verify the model's reliability. Typical V-shaped characteristics can be observed from the DTS responses in the multi-cluster fracturing process, with locations corresponding to the hydraulic fractures. The V-shape depth is shallower for a higher injection rate and longer fracturing and shut-in time. Also, the V-shape is wider for a higher fracture-surface leakoff coefficient, longer fracturing time and smaller fracture width. Additionally, the cooling effect near the wellbore continues to spread into the reservoir during the shut-in period, causing the DTS temperature to decrease instead of rise. Real-time monitoring and interpretation of DTS temperature data can help understand the fracture propagation during fracturing operation, so that immediate measures can be taken to improve the fracturing performance. |
| format | Article |
| id | doaj-art-fff1486ae406421e8f8dfc73e40d4f96 |
| institution | OA Journals |
| issn | 1876-3804 |
| language | English |
| publishDate | 2025-04-01 |
| publisher | KeAi Communications Co., Ltd. |
| record_format | Article |
| series | Petroleum Exploration and Development |
| spelling | doaj-art-fff1486ae406421e8f8dfc73e40d4f962025-08-20T02:29:45ZengKeAi Communications Co., Ltd.Petroleum Exploration and Development1876-38042025-04-0152249650510.1016/S1876-3804(25)60582-9Fracture parameter diagnostic method during staged multi-cluster fracturing based on distributed temperature sensingCao WEI0Haitao LI1Xiaohua ZHU2Nan ZHANG3Hongwen LUO4Kun TU5Shiqing CHENG6School of Petroleum Engineering, Southwest Petroleum University, Chengdu 610500, China; Corresponding authorSchool of Petroleum Engineering, Southwest Petroleum University, Chengdu 610500, ChinaSchool of Petroleum Engineering, Southwest Petroleum University, Chengdu 610500, ChinaSchool of Petroleum Engineering, Southwest Petroleum University, Chengdu 610500, ChinaSchool of Petroleum Engineering, Southwest Petroleum University, Chengdu 610500, ChinaPetroChina Research Institute of Petroleum Exploration & Development, Beijing 100083, ChinaCollege of Petroleum Engineering, China University of Petroleum (Beijing), Beijing 102249, ChinaThe Carter model is used to characterize the dynamic behaviors of fracture growth and fracturing fluid leakoff. A thermo-fluid coupling temperature response forward model is built considering the fluid flow and heat transfer in wellbore, fracture and reservoir. The influences of fracturing parameters and fracture parameters on the responses of distributed temperature sensing (DTS) are analyzed, and a diagnosis method of fracture parameters is presented based on the simulated annealing algorithm. A field case study is introduced to verify the model's reliability. Typical V-shaped characteristics can be observed from the DTS responses in the multi-cluster fracturing process, with locations corresponding to the hydraulic fractures. The V-shape depth is shallower for a higher injection rate and longer fracturing and shut-in time. Also, the V-shape is wider for a higher fracture-surface leakoff coefficient, longer fracturing time and smaller fracture width. Additionally, the cooling effect near the wellbore continues to spread into the reservoir during the shut-in period, causing the DTS temperature to decrease instead of rise. Real-time monitoring and interpretation of DTS temperature data can help understand the fracture propagation during fracturing operation, so that immediate measures can be taken to improve the fracturing performance.http://www.sciencedirect.com/science/article/pii/S1876380425605829shale oilhorizontal wellmulti-stage multi-cluster fracturingdistributed temperature sensingthermo-fluid coupling modelfracture parameters |
| spellingShingle | Cao WEI Haitao LI Xiaohua ZHU Nan ZHANG Hongwen LUO Kun TU Shiqing CHENG Fracture parameter diagnostic method during staged multi-cluster fracturing based on distributed temperature sensing Petroleum Exploration and Development shale oil horizontal well multi-stage multi-cluster fracturing distributed temperature sensing thermo-fluid coupling model fracture parameters |
| title | Fracture parameter diagnostic method during staged multi-cluster fracturing based on distributed temperature sensing |
| title_full | Fracture parameter diagnostic method during staged multi-cluster fracturing based on distributed temperature sensing |
| title_fullStr | Fracture parameter diagnostic method during staged multi-cluster fracturing based on distributed temperature sensing |
| title_full_unstemmed | Fracture parameter diagnostic method during staged multi-cluster fracturing based on distributed temperature sensing |
| title_short | Fracture parameter diagnostic method during staged multi-cluster fracturing based on distributed temperature sensing |
| title_sort | fracture parameter diagnostic method during staged multi cluster fracturing based on distributed temperature sensing |
| topic | shale oil horizontal well multi-stage multi-cluster fracturing distributed temperature sensing thermo-fluid coupling model fracture parameters |
| url | http://www.sciencedirect.com/science/article/pii/S1876380425605829 |
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