A Semianalytical Production Prediction Model and Dynamics Performance Analysis for Shale Gas Wells
The shale gas productivity model based on shale gas nonlinear seepage mechanism is an effective way to reasonably predict productivity. The incomplete gas nonlinear effects considered in the current production prediction models can lead to inaccurate production prediction. Based on the conventional...
Saved in:
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2021-01-01
|
| Series: | Geofluids |
| Online Access: | http://dx.doi.org/10.1155/2021/9920122 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1832560596869971968 |
|---|---|
| author | Yingying Xu Xiangui Liu Zhiming Hu Xianggang Duan Jin Chang |
| author_facet | Yingying Xu Xiangui Liu Zhiming Hu Xianggang Duan Jin Chang |
| author_sort | Yingying Xu |
| collection | DOAJ |
| description | The shale gas productivity model based on shale gas nonlinear seepage mechanism is an effective way to reasonably predict productivity. The incomplete gas nonlinear effects considered in the current production prediction models can lead to inaccurate production prediction. Based on the conventional five-zone compound flow model, comprehensive gas nonlinearities were considered in the improved compound linear flow model proposed in the paper and a semianalytical solution for productivity was obtained. The reliability of the productivity model was verified by the field data, and then, the 20-year production performance analysis of the gas well was studied. Ultimately, the key influencing factors of the fracture control stage and matrix control stage have been analyzed. Research indicated the following: (1) the EUR predicted by the productivity model is higher than the EUR that the comprehensive nonlinear effects are not considered, which demonstrated that the various nonlinear effects cannot be neglected during the production prediction to ensure the greater calculation accuracy; (2) during the early production stage of shale reservoir, the adsorbed gas is basically not recovered, and the cumulative adsorption contribution rate does not exceed 10%. The final adsorption gas contribution rate is 23.28%, and the annual adsorption rate can exceed 50% in the 20th year, showing that free gas and adsorbed gas are, respectively, important sources of the early stage of production and long-term stable production; (3) the widely ranged three-dimensional fracturing reformation of shale reservoirs and reasonable bottom hole pressure in the later matrix development process should be implemented to increase the effective early production of the reservoir and ensure the earlier gas production process of the matrix development. The findings of this study can help for better ensuring the prediction accuracy of the estimated ultimate recovery and understanding the main influencing factors of the dynamic performance of gas wells so as to provide a theoretical reference for production optimization and development plan formulation of the shale gas reservoirs. |
| format | Article |
| id | doaj-art-565d6318c1d04bb1a6e1c5951c41abdd |
| institution | Kabale University |
| issn | 1468-8115 1468-8123 |
| language | English |
| publishDate | 2021-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Geofluids |
| spelling | doaj-art-565d6318c1d04bb1a6e1c5951c41abdd2025-02-03T01:27:07ZengWileyGeofluids1468-81151468-81232021-01-01202110.1155/2021/99201229920122A Semianalytical Production Prediction Model and Dynamics Performance Analysis for Shale Gas WellsYingying Xu0Xiangui Liu1Zhiming Hu2Xianggang Duan3Jin Chang4Institute of Porous Flow and Fluid Mechanics, Chinese Academy of Sciences, Langfang 065007, ChinaInstitute of Porous Flow and Fluid Mechanics, Chinese Academy of Sciences, Langfang 065007, ChinaInstitute of Porous Flow and Fluid Mechanics, Chinese Academy of Sciences, Langfang 065007, ChinaResearch Institute of Petroleum Exploration and Development, PetroChina, Beijing 100083, ChinaResearch Institute of Petroleum Exploration and Development, PetroChina, Beijing 100083, ChinaThe shale gas productivity model based on shale gas nonlinear seepage mechanism is an effective way to reasonably predict productivity. The incomplete gas nonlinear effects considered in the current production prediction models can lead to inaccurate production prediction. Based on the conventional five-zone compound flow model, comprehensive gas nonlinearities were considered in the improved compound linear flow model proposed in the paper and a semianalytical solution for productivity was obtained. The reliability of the productivity model was verified by the field data, and then, the 20-year production performance analysis of the gas well was studied. Ultimately, the key influencing factors of the fracture control stage and matrix control stage have been analyzed. Research indicated the following: (1) the EUR predicted by the productivity model is higher than the EUR that the comprehensive nonlinear effects are not considered, which demonstrated that the various nonlinear effects cannot be neglected during the production prediction to ensure the greater calculation accuracy; (2) during the early production stage of shale reservoir, the adsorbed gas is basically not recovered, and the cumulative adsorption contribution rate does not exceed 10%. The final adsorption gas contribution rate is 23.28%, and the annual adsorption rate can exceed 50% in the 20th year, showing that free gas and adsorbed gas are, respectively, important sources of the early stage of production and long-term stable production; (3) the widely ranged three-dimensional fracturing reformation of shale reservoirs and reasonable bottom hole pressure in the later matrix development process should be implemented to increase the effective early production of the reservoir and ensure the earlier gas production process of the matrix development. The findings of this study can help for better ensuring the prediction accuracy of the estimated ultimate recovery and understanding the main influencing factors of the dynamic performance of gas wells so as to provide a theoretical reference for production optimization and development plan formulation of the shale gas reservoirs.http://dx.doi.org/10.1155/2021/9920122 |
| spellingShingle | Yingying Xu Xiangui Liu Zhiming Hu Xianggang Duan Jin Chang A Semianalytical Production Prediction Model and Dynamics Performance Analysis for Shale Gas Wells Geofluids |
| title | A Semianalytical Production Prediction Model and Dynamics Performance Analysis for Shale Gas Wells |
| title_full | A Semianalytical Production Prediction Model and Dynamics Performance Analysis for Shale Gas Wells |
| title_fullStr | A Semianalytical Production Prediction Model and Dynamics Performance Analysis for Shale Gas Wells |
| title_full_unstemmed | A Semianalytical Production Prediction Model and Dynamics Performance Analysis for Shale Gas Wells |
| title_short | A Semianalytical Production Prediction Model and Dynamics Performance Analysis for Shale Gas Wells |
| title_sort | semianalytical production prediction model and dynamics performance analysis for shale gas wells |
| url | http://dx.doi.org/10.1155/2021/9920122 |
| work_keys_str_mv | AT yingyingxu asemianalyticalproductionpredictionmodelanddynamicsperformanceanalysisforshalegaswells AT xianguiliu asemianalyticalproductionpredictionmodelanddynamicsperformanceanalysisforshalegaswells AT zhiminghu asemianalyticalproductionpredictionmodelanddynamicsperformanceanalysisforshalegaswells AT xianggangduan asemianalyticalproductionpredictionmodelanddynamicsperformanceanalysisforshalegaswells AT jinchang asemianalyticalproductionpredictionmodelanddynamicsperformanceanalysisforshalegaswells AT yingyingxu semianalyticalproductionpredictionmodelanddynamicsperformanceanalysisforshalegaswells AT xianguiliu semianalyticalproductionpredictionmodelanddynamicsperformanceanalysisforshalegaswells AT zhiminghu semianalyticalproductionpredictionmodelanddynamicsperformanceanalysisforshalegaswells AT xianggangduan semianalyticalproductionpredictionmodelanddynamicsperformanceanalysisforshalegaswells AT jinchang semianalyticalproductionpredictionmodelanddynamicsperformanceanalysisforshalegaswells |