Distributed Fiber Optic Sensing for Fracture Geometry Inversion Using All Time Steps Data
As an advanced real-time monitoring technique, optic fiber downhole sensing has been widely applied in monitoring fracture propagation during hydraulic fracturing. However, existing fracture shape inversion methods face two main challenges: firstly, traditional methods struggle to accurately capture...
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| Format: | Article |
| Language: | English |
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MDPI AG
2025-07-01
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| Series: | Sensors |
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| Online Access: | https://www.mdpi.com/1424-8220/25/14/4290 |
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| author | Shaohua You Geyitian Feng Xiaojun Qian Qinzhuo Liao Zhengting Yan Shuqi Sun Xu Liu Shirish Patil |
| author_facet | Shaohua You Geyitian Feng Xiaojun Qian Qinzhuo Liao Zhengting Yan Shuqi Sun Xu Liu Shirish Patil |
| author_sort | Shaohua You |
| collection | DOAJ |
| description | As an advanced real-time monitoring technique, optic fiber downhole sensing has been widely applied in monitoring fracture propagation during hydraulic fracturing. However, existing fracture shape inversion methods face two main challenges: firstly, traditional methods struggle to accurately capture the dynamic changes in strain rate and fracture shape during the propagation process, and secondly, they are computationally expensive. To address these issues, this study proposes a full-time-step fitting inversion method. By precisely fitting all time steps of fracture propagation, this method effectively overcomes the shape deviation problems often encountered in traditional methods and significantly reduces computational costs. Compared to conventional single-time-step inversion methods, our approach not only provides a more accurate representation of the spatiotemporal dynamics of fracture propagation but also avoids the risk of significant errors in fracture shape reconstruction. Therefore, the proposed inversion method holds substantial practical value and significance in fracture monitoring and sensing for oil and gas fields. |
| format | Article |
| id | doaj-art-c3860d42bbc44f45a6c79599eeba2893 |
| institution | Matheson Library |
| issn | 1424-8220 |
| language | English |
| publishDate | 2025-07-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj-art-c3860d42bbc44f45a6c79599eeba28932025-07-25T13:35:55ZengMDPI AGSensors1424-82202025-07-012514429010.3390/s25144290Distributed Fiber Optic Sensing for Fracture Geometry Inversion Using All Time Steps DataShaohua You0Geyitian Feng1Xiaojun Qian2Qinzhuo Liao3Zhengting Yan4Shuqi Sun5Xu Liu6Shirish Patil7National Key Laboratory of Petroleum Resources and Engineering, China University of Petroleum-Beijing, Beijing 102249, ChinaNational Key Laboratory of Petroleum Resources and Engineering, China University of Petroleum-Beijing, Beijing 102249, ChinaNational Key Laboratory of Petroleum Resources and Engineering, China University of Petroleum-Beijing, Beijing 102249, ChinaNational Key Laboratory of Petroleum Resources and Engineering, China University of Petroleum-Beijing, Beijing 102249, ChinaNational Key Laboratory of Petroleum Resources and Engineering, China University of Petroleum-Beijing, Beijing 102249, ChinaNational Key Laboratory of Petroleum Resources and Engineering, China University of Petroleum-Beijing, Beijing 102249, ChinaCollege of Petroleum Engineering & Geosciences, King Fahd University of Petroleum and Minerals, Dhahran 31261, Saudi ArabiaCollege of Petroleum Engineering & Geosciences, King Fahd University of Petroleum and Minerals, Dhahran 31261, Saudi ArabiaAs an advanced real-time monitoring technique, optic fiber downhole sensing has been widely applied in monitoring fracture propagation during hydraulic fracturing. However, existing fracture shape inversion methods face two main challenges: firstly, traditional methods struggle to accurately capture the dynamic changes in strain rate and fracture shape during the propagation process, and secondly, they are computationally expensive. To address these issues, this study proposes a full-time-step fitting inversion method. By precisely fitting all time steps of fracture propagation, this method effectively overcomes the shape deviation problems often encountered in traditional methods and significantly reduces computational costs. Compared to conventional single-time-step inversion methods, our approach not only provides a more accurate representation of the spatiotemporal dynamics of fracture propagation but also avoids the risk of significant errors in fracture shape reconstruction. Therefore, the proposed inversion method holds substantial practical value and significance in fracture monitoring and sensing for oil and gas fields.https://www.mdpi.com/1424-8220/25/14/4290distributed optic fiberhydraulic fracturingwellbore monitoringfracture geometryinversion method |
| spellingShingle | Shaohua You Geyitian Feng Xiaojun Qian Qinzhuo Liao Zhengting Yan Shuqi Sun Xu Liu Shirish Patil Distributed Fiber Optic Sensing for Fracture Geometry Inversion Using All Time Steps Data Sensors distributed optic fiber hydraulic fracturing wellbore monitoring fracture geometry inversion method |
| title | Distributed Fiber Optic Sensing for Fracture Geometry Inversion Using All Time Steps Data |
| title_full | Distributed Fiber Optic Sensing for Fracture Geometry Inversion Using All Time Steps Data |
| title_fullStr | Distributed Fiber Optic Sensing for Fracture Geometry Inversion Using All Time Steps Data |
| title_full_unstemmed | Distributed Fiber Optic Sensing for Fracture Geometry Inversion Using All Time Steps Data |
| title_short | Distributed Fiber Optic Sensing for Fracture Geometry Inversion Using All Time Steps Data |
| title_sort | distributed fiber optic sensing for fracture geometry inversion using all time steps data |
| topic | distributed optic fiber hydraulic fracturing wellbore monitoring fracture geometry inversion method |
| url | https://www.mdpi.com/1424-8220/25/14/4290 |
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