Productivity Prediction Model for Stimulated Reservoir Volume Fracturing in Tight Glutenite Reservoir Considering Fluid-Solid Coupling
At present, the main development mode of “horizontal well + volume fracturing” is adopted in a tight glutenite reservoir. Due to the existence of conglomerate, the seepage characteristics are more complex, and the production capacity after volume fracturing is difficult to predict. In order to solve...
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Frontiers Media S.A.
2020-11-01
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Series: | Frontiers in Energy Research |
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Online Access: | https://www.frontiersin.org/articles/10.3389/fenrg.2020.573817/full |
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author | Leng Tian Leng Tian Xiaolong Chai Xiaolong Chai Peng Wang Peng Wang Hengli Wang Hengli Wang |
author_facet | Leng Tian Leng Tian Xiaolong Chai Xiaolong Chai Peng Wang Peng Wang Hengli Wang Hengli Wang |
author_sort | Leng Tian |
collection | DOAJ |
description | At present, the main development mode of “horizontal well + volume fracturing” is adopted in a tight glutenite reservoir. Due to the existence of conglomerate, the seepage characteristics are more complex, and the production capacity after volume fracturing is difficult to predict. In order to solve this problem, a dual media unstable seepage model was established for matrix seepage and discrete fracture network seepage when considering the trigger pressure gradient. By considering the Poisson's ratio of stress sensitivity in an innovative way, the coupling model of permeability and stress is improved, and the production prediction model of volume fracturing horizontal well in a tight glutenite reservoir based on the fluid-solid coupling effect is formed. The finite element method is used to numerically solve the model, and the fitting verification of the model is carried out; the impact of stress sensitivity, producing pressure difference, fracture length, number of fracture clusters and fracture flow capacity conductivity on productivity is analyzed, which has certain guiding significance for the efficient development of volume fracturing in a tight glutenite reservoir. |
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issn | 2296-598X |
language | English |
last_indexed | 2024-12-21T00:09:46Z |
publishDate | 2020-11-01 |
publisher | Frontiers Media S.A. |
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spelling | doaj.art-4b2211fbc3244401b0157e2d0936a1562022-12-21T19:22:22ZengFrontiers Media S.A.Frontiers in Energy Research2296-598X2020-11-01810.3389/fenrg.2020.573817573817Productivity Prediction Model for Stimulated Reservoir Volume Fracturing in Tight Glutenite Reservoir Considering Fluid-Solid CouplingLeng Tian0Leng Tian1Xiaolong Chai2Xiaolong Chai3Peng Wang4Peng Wang5Hengli Wang6Hengli Wang7State Key Laboratory of Petroleum Resources and Prospecting, China University of Petroleum (Beijing), Beijing, ChinaInstitute of Petroleum Engineering, China University of Petroleum (Beijing), Beijing, ChinaState Key Laboratory of Petroleum Resources and Prospecting, China University of Petroleum (Beijing), Beijing, ChinaInstitute of Petroleum Engineering, China University of Petroleum (Beijing), Beijing, ChinaState Key Laboratory of Petroleum Resources and Prospecting, China University of Petroleum (Beijing), Beijing, ChinaInstitute of Petroleum Engineering, China University of Petroleum (Beijing), Beijing, ChinaState Key Laboratory of Petroleum Resources and Prospecting, China University of Petroleum (Beijing), Beijing, ChinaInstitute of Petroleum Engineering, China University of Petroleum (Beijing), Beijing, ChinaAt present, the main development mode of “horizontal well + volume fracturing” is adopted in a tight glutenite reservoir. Due to the existence of conglomerate, the seepage characteristics are more complex, and the production capacity after volume fracturing is difficult to predict. In order to solve this problem, a dual media unstable seepage model was established for matrix seepage and discrete fracture network seepage when considering the trigger pressure gradient. By considering the Poisson's ratio of stress sensitivity in an innovative way, the coupling model of permeability and stress is improved, and the production prediction model of volume fracturing horizontal well in a tight glutenite reservoir based on the fluid-solid coupling effect is formed. The finite element method is used to numerically solve the model, and the fitting verification of the model is carried out; the impact of stress sensitivity, producing pressure difference, fracture length, number of fracture clusters and fracture flow capacity conductivity on productivity is analyzed, which has certain guiding significance for the efficient development of volume fracturing in a tight glutenite reservoir.https://www.frontiersin.org/articles/10.3389/fenrg.2020.573817/fulltight glutenite reservoirvolume fracturingstress sensitivityproductivity prediction modelfluid-solid coupling |
spellingShingle | Leng Tian Leng Tian Xiaolong Chai Xiaolong Chai Peng Wang Peng Wang Hengli Wang Hengli Wang Productivity Prediction Model for Stimulated Reservoir Volume Fracturing in Tight Glutenite Reservoir Considering Fluid-Solid Coupling Frontiers in Energy Research tight glutenite reservoir volume fracturing stress sensitivity productivity prediction model fluid-solid coupling |
title | Productivity Prediction Model for Stimulated Reservoir Volume Fracturing in Tight Glutenite Reservoir Considering Fluid-Solid Coupling |
title_full | Productivity Prediction Model for Stimulated Reservoir Volume Fracturing in Tight Glutenite Reservoir Considering Fluid-Solid Coupling |
title_fullStr | Productivity Prediction Model for Stimulated Reservoir Volume Fracturing in Tight Glutenite Reservoir Considering Fluid-Solid Coupling |
title_full_unstemmed | Productivity Prediction Model for Stimulated Reservoir Volume Fracturing in Tight Glutenite Reservoir Considering Fluid-Solid Coupling |
title_short | Productivity Prediction Model for Stimulated Reservoir Volume Fracturing in Tight Glutenite Reservoir Considering Fluid-Solid Coupling |
title_sort | productivity prediction model for stimulated reservoir volume fracturing in tight glutenite reservoir considering fluid solid coupling |
topic | tight glutenite reservoir volume fracturing stress sensitivity productivity prediction model fluid-solid coupling |
url | https://www.frontiersin.org/articles/10.3389/fenrg.2020.573817/full |
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