Modeling for Volume-Fracturing Vertical Wells in Tight Oil Reservoir considering NMR-Based Research on Imbibition
AbstractThe lateral broadband fracturing (LBF) technique for vertical well in tight oil reservoir has been proven to provide much larger stimulated reservoir volume (SRV) by widening its width. Although this new fracturing technique has been successfully applied to the development of...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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GeoScienceWorld
2022-09-01
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| Series: | Lithosphere |
| Online Access: | https://pubs.geoscienceworld.org/lithosphere/article/2022/1/2730294/617489/Modeling-for-Volume-Fracturing-Vertical-Wells-in |
| _version_ | 1811200027812429824 |
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| author | Zhiyuan Wang Xinli Zhao Zhengming Yang Qianhua Xiao Jiafen Lan |
| author_facet | Zhiyuan Wang Xinli Zhao Zhengming Yang Qianhua Xiao Jiafen Lan |
| author_sort | Zhiyuan Wang |
| collection | DOAJ |
| description |
AbstractThe lateral broadband fracturing (LBF) technique for vertical well in tight oil reservoir has been proven to provide much larger stimulated reservoir volume (SRV) by widening its width. Although this new fracturing technique has been successfully applied to the development of tight oil reservoirs in Ordos Basin, China, there is still a lack of models and methods to characterize the imbibition of matrix-fracture system, which is heterogeneous permeability distribution. In this paper, a multilinear fractal model considering Nuclear Magnetic Resonance-based research on imbibition (MFMI) is established to characterize the flow characteristics of lateral broadband fracturing vertical wells (LVWs) in tight oil reservoirs by combining the dual-porosity fractal model considering imbibition and the quad-linear flow model. Due to the application of LBF, the nonuniform distribution of fracture system is characterized by fractal porosity and fractal permeability. In addition, the imbibition in SRV of tight oil reservoir is quantitatively characterized by Nuclear Magnetic Resonance (NMR) data. And the production performance of LVWs is quantified by the MFMI. By using the Laplace transformation, Bessel function, iteration, and Stehfest numerical inversion algorithms, the approximate analytic solutions of our established model, including primary hydraulic fractures, SRV, and unstimulated reservoir volume (USRV), are derived. The solutions of pressure and production are used to compare and analyze in order to discuss the influence of parameters related to lateral broadband fracturing (such as fractal parameters, reservoir parameters, and width of SRV) on flow behavior of LVWs in a tight oil reservoir. The modeling results show that the fractal parameters of fracture system have great effect on the fluid flow in LVWs, and LBF contributes to imbibition production. |
| first_indexed | 2024-04-12T01:56:56Z |
| format | Article |
| id | doaj.art-4b575ebd419a40e6aebeb299585ce13a |
| institution | Directory Open Access Journal |
| issn | 1941-8264 1947-4253 |
| language | English |
| last_indexed | 2024-04-12T01:56:56Z |
| publishDate | 2022-09-01 |
| publisher | GeoScienceWorld |
| record_format | Article |
| series | Lithosphere |
| spelling | doaj.art-4b575ebd419a40e6aebeb299585ce13a2022-12-22T03:52:46ZengGeoScienceWorldLithosphere1941-82641947-42532022-09-012022110.2113/2022/2730294Modeling for Volume-Fracturing Vertical Wells in Tight Oil Reservoir considering NMR-Based Research on ImbibitionZhiyuan Wang0http://orcid.org/0000-0002-7521-2150Xinli Zhao1http://orcid.org/0000-0002-0367-5092Zhengming Yang2Qianhua Xiao3http://orcid.org/0000-0002-0561-5843Jiafen Lan41 College of Physics & Electronic Information Engineering Minjiang University Fuzhou Fujian 350121 China mju.edu.cn3 School of Petroleum Engineering Changzhou University Changzhou 213164 China cczu.edu.cn4 Research Institute of Petroleum Exploration & Development PetroChina Company Limited Langfang 065007 China petrochina.com.cn5 School of Oil and Gas Engineering Chongqing University of Science & Technology Chongqing 401331 China cqust.edu.cn2 WTS Center Wuhan University of Technology Wuhan 430063 China whut.edu.cn AbstractThe lateral broadband fracturing (LBF) technique for vertical well in tight oil reservoir has been proven to provide much larger stimulated reservoir volume (SRV) by widening its width. Although this new fracturing technique has been successfully applied to the development of tight oil reservoirs in Ordos Basin, China, there is still a lack of models and methods to characterize the imbibition of matrix-fracture system, which is heterogeneous permeability distribution. In this paper, a multilinear fractal model considering Nuclear Magnetic Resonance-based research on imbibition (MFMI) is established to characterize the flow characteristics of lateral broadband fracturing vertical wells (LVWs) in tight oil reservoirs by combining the dual-porosity fractal model considering imbibition and the quad-linear flow model. Due to the application of LBF, the nonuniform distribution of fracture system is characterized by fractal porosity and fractal permeability. In addition, the imbibition in SRV of tight oil reservoir is quantitatively characterized by Nuclear Magnetic Resonance (NMR) data. And the production performance of LVWs is quantified by the MFMI. By using the Laplace transformation, Bessel function, iteration, and Stehfest numerical inversion algorithms, the approximate analytic solutions of our established model, including primary hydraulic fractures, SRV, and unstimulated reservoir volume (USRV), are derived. The solutions of pressure and production are used to compare and analyze in order to discuss the influence of parameters related to lateral broadband fracturing (such as fractal parameters, reservoir parameters, and width of SRV) on flow behavior of LVWs in a tight oil reservoir. The modeling results show that the fractal parameters of fracture system have great effect on the fluid flow in LVWs, and LBF contributes to imbibition production.https://pubs.geoscienceworld.org/lithosphere/article/2022/1/2730294/617489/Modeling-for-Volume-Fracturing-Vertical-Wells-in |
| spellingShingle | Zhiyuan Wang Xinli Zhao Zhengming Yang Qianhua Xiao Jiafen Lan Modeling for Volume-Fracturing Vertical Wells in Tight Oil Reservoir considering NMR-Based Research on Imbibition Lithosphere |
| title | Modeling for Volume-Fracturing Vertical Wells in Tight Oil Reservoir considering NMR-Based Research on Imbibition |
| title_full | Modeling for Volume-Fracturing Vertical Wells in Tight Oil Reservoir considering NMR-Based Research on Imbibition |
| title_fullStr | Modeling for Volume-Fracturing Vertical Wells in Tight Oil Reservoir considering NMR-Based Research on Imbibition |
| title_full_unstemmed | Modeling for Volume-Fracturing Vertical Wells in Tight Oil Reservoir considering NMR-Based Research on Imbibition |
| title_short | Modeling for Volume-Fracturing Vertical Wells in Tight Oil Reservoir considering NMR-Based Research on Imbibition |
| title_sort | modeling for volume fracturing vertical wells in tight oil reservoir considering nmr based research on imbibition |
| url | https://pubs.geoscienceworld.org/lithosphere/article/2022/1/2730294/617489/Modeling-for-Volume-Fracturing-Vertical-Wells-in |
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