Back Analysis of Rock Hydraulic Fracturing by Coupling Numerical Model and Computational Intelligent Technology
Hydraulic fracturing is widely used to determine in situ stress of rock engineering. In this paper we propose a new method for simultaneously determining the in situ stress and elastic parameters of rock. The method utilizing the hydraulic fracturing numerical model and a computational intelligent m...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2017-01-01
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| Series: | Geofluids |
| Online Access: | http://dx.doi.org/10.1155/2017/5314628 |
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| author | Shaojun Li Hongbo Zhao Xiating Feng Quan Jiang Qiancheng Sun |
| author_facet | Shaojun Li Hongbo Zhao Xiating Feng Quan Jiang Qiancheng Sun |
| author_sort | Shaojun Li |
| collection | DOAJ |
| description | Hydraulic fracturing is widely used to determine in situ stress of rock engineering. In this paper we propose a new method for simultaneously determining the in situ stress and elastic parameters of rock. The method utilizing the hydraulic fracturing numerical model and a computational intelligent method is proposed and verified. The hydraulic fracturing numerical model provides the samples which include borehole pressure, in situ stress, and elastic parameters. A computational intelligent method is applied in back analysis. A multioutput support vector machine is used to map the complex, nonlinear relationship between the in situ stress, elastic parameters, and borehole pressure. The artificial bee colony algorithm is applied in back analysis to find the optimal in situ stress and elastic parameters. The in situ stress is determined using the proposed method and the results are compared with those of the classic breakdown formula. The proposed method provides a good estimate of the relationship between the in situ stress and borehole pressure and predicts the maximum horizontal in situ stress with high precision while considering the influence of pore pressure without the need to estimate Biot’s coefficient and other parameters. |
| format | Article |
| id | doaj-art-4d7d6daebe3949b6acfb0f67d4e43f1a |
| institution | Kabale University |
| issn | 1468-8115 1468-8123 |
| language | English |
| publishDate | 2017-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Geofluids |
| spelling | doaj-art-4d7d6daebe3949b6acfb0f67d4e43f1a2025-02-03T01:30:54ZengWileyGeofluids1468-81151468-81232017-01-01201710.1155/2017/53146285314628Back Analysis of Rock Hydraulic Fracturing by Coupling Numerical Model and Computational Intelligent TechnologyShaojun Li0Hongbo Zhao1Xiating Feng2Quan Jiang3Qiancheng Sun4State Key Laboratory of Geomechanics and Geotechnical Engineering, Institute of Rock and Soil Mechanics, Chinese Academy of Sciences, Wuhan, Hubei 430071, ChinaSchool of Civil Engineering, Henan Polytechnic University, Jiaozuo 454003, ChinaState Key Laboratory of Geomechanics and Geotechnical Engineering, Institute of Rock and Soil Mechanics, Chinese Academy of Sciences, Wuhan, Hubei 430071, ChinaState Key Laboratory of Geomechanics and Geotechnical Engineering, Institute of Rock and Soil Mechanics, Chinese Academy of Sciences, Wuhan, Hubei 430071, ChinaState Key Laboratory of Geomechanics and Geotechnical Engineering, Institute of Rock and Soil Mechanics, Chinese Academy of Sciences, Wuhan, Hubei 430071, ChinaHydraulic fracturing is widely used to determine in situ stress of rock engineering. In this paper we propose a new method for simultaneously determining the in situ stress and elastic parameters of rock. The method utilizing the hydraulic fracturing numerical model and a computational intelligent method is proposed and verified. The hydraulic fracturing numerical model provides the samples which include borehole pressure, in situ stress, and elastic parameters. A computational intelligent method is applied in back analysis. A multioutput support vector machine is used to map the complex, nonlinear relationship between the in situ stress, elastic parameters, and borehole pressure. The artificial bee colony algorithm is applied in back analysis to find the optimal in situ stress and elastic parameters. The in situ stress is determined using the proposed method and the results are compared with those of the classic breakdown formula. The proposed method provides a good estimate of the relationship between the in situ stress and borehole pressure and predicts the maximum horizontal in situ stress with high precision while considering the influence of pore pressure without the need to estimate Biot’s coefficient and other parameters.http://dx.doi.org/10.1155/2017/5314628 |
| spellingShingle | Shaojun Li Hongbo Zhao Xiating Feng Quan Jiang Qiancheng Sun Back Analysis of Rock Hydraulic Fracturing by Coupling Numerical Model and Computational Intelligent Technology Geofluids |
| title | Back Analysis of Rock Hydraulic Fracturing by Coupling Numerical Model and Computational Intelligent Technology |
| title_full | Back Analysis of Rock Hydraulic Fracturing by Coupling Numerical Model and Computational Intelligent Technology |
| title_fullStr | Back Analysis of Rock Hydraulic Fracturing by Coupling Numerical Model and Computational Intelligent Technology |
| title_full_unstemmed | Back Analysis of Rock Hydraulic Fracturing by Coupling Numerical Model and Computational Intelligent Technology |
| title_short | Back Analysis of Rock Hydraulic Fracturing by Coupling Numerical Model and Computational Intelligent Technology |
| title_sort | back analysis of rock hydraulic fracturing by coupling numerical model and computational intelligent technology |
| url | http://dx.doi.org/10.1155/2017/5314628 |
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