A new seven-region flow model for deliverability evaluation of multiply-fractured horizontal wells in tight oil fractal reservoir
Deliverability evaluation plays an important role in the reservoir exploitation. In this study, a new seven-region semi-analytical mathematical model considering the influences of fractal, imbibition and non-Darcy flow is proposed to evaluate the deliverability of multiply-fractured horizontal wells...
| Main Authors: | , , , , , |
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| Format: | Journal Article |
| Language: | English |
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2024
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| Online Access: | https://hdl.handle.net/10356/174310 |
| _version_ | 1826109445823791104 |
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| author | Guo, Fanrong Chen, Rou Yan, Weiwei Su, Ying Hu, Yanyan Xiong, Shengchun |
| author2 | School of Mechanical and Aerospace Engineering |
| author_facet | School of Mechanical and Aerospace Engineering Guo, Fanrong Chen, Rou Yan, Weiwei Su, Ying Hu, Yanyan Xiong, Shengchun |
| author_sort | Guo, Fanrong |
| collection | NTU |
| description | Deliverability evaluation plays an important role in the reservoir exploitation. In this study, a new seven-region semi-analytical mathematical model considering the influences of fractal, imbibition and non-Darcy flow is proposed to evaluate the deliverability of multiply-fractured horizontal wells in tight oil reservoirs. The Laplace transformation, perturbation method and Stehfest numerical inversion are employed to solve the model. The reliability and accuracy of the analytical solution are verified by the field example. The sensitivity analysis of the major influencing factors on the deliverability is specifically analyzed. The numerical results indicate that the seven-region semi-analytical model can better explain the heterogeneity of fracture network, and its solution can provide an effective algorithm for the deliverability evaluation. It is found that the fractal plays a predominant influence on the productivity of tight oil reservoirs. The larger the fractal dimension and the smaller the fractal index, the higher the accumulative production rate. The imbibition also has an important effect on the deliverability of tight oil reservoirs. As the rising of wetting angle, both daily and accumulative production rates can obviously decrease. The imbibition has a positive impact on the production rate in the water-wet formations, while it has a negative impact on the production rate in the oil-wet formations. Compared with the fractal and imbibition, the threshold pressure gradient has less influence on the production of tight oil reservoirs. There exists a negative correlation between the threshold pressure gradient and the production performance. This work provides a new approach to understand the fractal tight oil reservoirs, which is of great significance for the deliverability evaluation. |
| first_indexed | 2024-10-01T02:18:21Z |
| format | Journal Article |
| id | ntu-10356/174310 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T02:18:21Z |
| publishDate | 2024 |
| record_format | dspace |
| spelling | ntu-10356/1743102024-03-30T16:47:44Z A new seven-region flow model for deliverability evaluation of multiply-fractured horizontal wells in tight oil fractal reservoir Guo, Fanrong Chen, Rou Yan, Weiwei Su, Ying Hu, Yanyan Xiong, Shengchun School of Mechanical and Aerospace Engineering Engineering Tight Oil Reservoir Deliverability Evaluation Deliverability evaluation plays an important role in the reservoir exploitation. In this study, a new seven-region semi-analytical mathematical model considering the influences of fractal, imbibition and non-Darcy flow is proposed to evaluate the deliverability of multiply-fractured horizontal wells in tight oil reservoirs. The Laplace transformation, perturbation method and Stehfest numerical inversion are employed to solve the model. The reliability and accuracy of the analytical solution are verified by the field example. The sensitivity analysis of the major influencing factors on the deliverability is specifically analyzed. The numerical results indicate that the seven-region semi-analytical model can better explain the heterogeneity of fracture network, and its solution can provide an effective algorithm for the deliverability evaluation. It is found that the fractal plays a predominant influence on the productivity of tight oil reservoirs. The larger the fractal dimension and the smaller the fractal index, the higher the accumulative production rate. The imbibition also has an important effect on the deliverability of tight oil reservoirs. As the rising of wetting angle, both daily and accumulative production rates can obviously decrease. The imbibition has a positive impact on the production rate in the water-wet formations, while it has a negative impact on the production rate in the oil-wet formations. Compared with the fractal and imbibition, the threshold pressure gradient has less influence on the production of tight oil reservoirs. There exists a negative correlation between the threshold pressure gradient and the production performance. This work provides a new approach to understand the fractal tight oil reservoirs, which is of great significance for the deliverability evaluation. Published version Supports given by the National Natural Science Foundation of China (Grant Nos. 11872062 and 12102419) and the China Scholarship Council (Grant No. 2020083301145) are gratefully acknowledged. 2024-03-26T02:28:55Z 2024-03-26T02:28:55Z 2023 Journal Article Guo, F., Chen, R., Yan, W., Su, Y., Hu, Y. & Xiong, S. (2023). A new seven-region flow model for deliverability evaluation of multiply-fractured horizontal wells in tight oil fractal reservoir. Fractals, 31(8), 2340173-1-2340173-17. https://dx.doi.org/10.1142/S0218348X23401734 0218-348X https://hdl.handle.net/10356/174310 10.1142/S0218348X23401734 2-s2.0-85169506235 8 31 2340173-1 2340173-17 en Fractals © The Author(s). This is an Open Access article in the “Special Issue on Analysis and Modeling of Heat and Mass Transfer in Fractal Porous Media”, edited by Boqi Xiao (Wuhan Institute of Technology, China), Ali AkgUl (Siirt University, Turkey), Dahua Shou (The ¨ Hong Kong Polytechnic University, Hong Kong) & Gongbo Long (Wuhan Institute of Technology, China) published by World Scientific Publishing Company. It is distributed under the terms of the Creative Commons Attribution 4.0 (CC BY) License which permits use, distribution and reproduction in any medium, provided the original work is properly cited. application/pdf |
| spellingShingle | Engineering Tight Oil Reservoir Deliverability Evaluation Guo, Fanrong Chen, Rou Yan, Weiwei Su, Ying Hu, Yanyan Xiong, Shengchun A new seven-region flow model for deliverability evaluation of multiply-fractured horizontal wells in tight oil fractal reservoir |
| title | A new seven-region flow model for deliverability evaluation of multiply-fractured horizontal wells in tight oil fractal reservoir |
| title_full | A new seven-region flow model for deliverability evaluation of multiply-fractured horizontal wells in tight oil fractal reservoir |
| title_fullStr | A new seven-region flow model for deliverability evaluation of multiply-fractured horizontal wells in tight oil fractal reservoir |
| title_full_unstemmed | A new seven-region flow model for deliverability evaluation of multiply-fractured horizontal wells in tight oil fractal reservoir |
| title_short | A new seven-region flow model for deliverability evaluation of multiply-fractured horizontal wells in tight oil fractal reservoir |
| title_sort | new seven region flow model for deliverability evaluation of multiply fractured horizontal wells in tight oil fractal reservoir |
| topic | Engineering Tight Oil Reservoir Deliverability Evaluation |
| url | https://hdl.handle.net/10356/174310 |
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