Research on efficient numerical simulation method for integration fracking with production in shale oil reservoir with multi-source data
Abstract Horizontal well hydraulic fracturing technology has significantly enhanced the productivity of shale reservoirs. However, our understanding of the expansion patterns within the complex fracture network and fluid seepage mechanisms under field conditions remains inadequate. Here, this work d...
Saved in:
| Main Authors: | , , , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2024-12-01
|
| Series: | Scientific Reports |
| Subjects: | |
| Online Access: | https://doi.org/10.1038/s41598-024-81896-9 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1846101275308982272 |
|---|---|
| author | Jie Zhan Xifeng Ding Hai Liu Kongjie Wang Zhipeng Wang Wenting Guo Ren-Shi Nie Xianlin Ma Zhenzihao Zhang |
| author_facet | Jie Zhan Xifeng Ding Hai Liu Kongjie Wang Zhipeng Wang Wenting Guo Ren-Shi Nie Xianlin Ma Zhenzihao Zhang |
| author_sort | Jie Zhan |
| collection | DOAJ |
| description | Abstract Horizontal well hydraulic fracturing technology has significantly enhanced the productivity of shale reservoirs. However, our understanding of the expansion patterns within the complex fracture network and fluid seepage mechanisms under field conditions remains inadequate. Here, this work develops a dynamic geomechanical (DG) model to simulate the complete sequence of operations in hydraulic fracturing. This study utilizes a construction procedure that closely mirrors field practices to establish the DG model. Furthermore, the numerical simulation results of the DG model are calibrated with field data. This work adopts a numerical simulation method that integrates unsteady seepage model for multi-stage fractured horizontal wells with the dilation-recompaction model to develop the DG model. It systematically constructs the geological model of the shale reservoir by utilizing segmented logging data and by segmenting production data. The time series evolution system is developed through an iterative process involving discrete time steps. Results show that the DG model can perform history matching on a multi-stage basis, enabling comprehensive and detailed analysis of the entire reservoir. This process effectively replicates the distribution relationship between each reconstruction zone and the overall productivity. Furthermore, the DG model is capable of accurately simulating the dynamic process of injected high-pressure fluids into the reservoir to fracture the rock and the dynamic evolution law of reservoir properties. Hydraulic fracturing creates a fracture zone that centers on the well’s border and spreads outward radially. The injection volume and failure pressure are significantly correlated with the scale of shale reservoir reconstruction. Following the injection of 790.5 m³ of fracturing fluid in the first stage, the fracture half-length can reach around 148 m, essentially fulfilling the design specifications. Permeability can reach up to 86 mD at this moment, and it can even be maintained at the level of 46 mD during production. In conclusion, the DG model broadens the focus of study on the development of shale reservoirs and lays the groundwork for improving productivity and optimizing hydraulic fracturing design. |
| format | Article |
| id | doaj-art-7ada4c8327594a9c8a88ff0123d1982e |
| institution | Kabale University |
| issn | 2045-2322 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Reports |
| spelling | doaj-art-7ada4c8327594a9c8a88ff0123d1982e2024-12-29T12:18:40ZengNature PortfolioScientific Reports2045-23222024-12-0114111810.1038/s41598-024-81896-9Research on efficient numerical simulation method for integration fracking with production in shale oil reservoir with multi-source dataJie Zhan0Xifeng Ding1Hai Liu2Kongjie Wang3Zhipeng Wang4Wenting Guo5Ren-Shi Nie6Xianlin Ma7Zhenzihao Zhang8School of Petroleum Engineering, Xi’an Shiyou UniversitySchool of Petroleum Engineering, Xi’an Shiyou UniversityChangqing Downhole Technology Company, CNPC Chuanqing Drilling Engineering Company LimitedChangqing Downhole Technology Company, CNPC Chuanqing Drilling Engineering Company LimitedState Key Laboratory of Petroleum Resources and Prospecting, China University of Petroleum (Beijing)State Key Laboratory of Petroleum Resources and Prospecting, China University of Petroleum (Beijing)State Key Laboratory of Oil and Gas Reservoir Geology and Exploitation, Southwest Petroleum UniversitySchool of Petroleum Engineering, Xi’an Shiyou UniversitySchool of Petroleum Engineering, Xi’an Shiyou UniversityAbstract Horizontal well hydraulic fracturing technology has significantly enhanced the productivity of shale reservoirs. However, our understanding of the expansion patterns within the complex fracture network and fluid seepage mechanisms under field conditions remains inadequate. Here, this work develops a dynamic geomechanical (DG) model to simulate the complete sequence of operations in hydraulic fracturing. This study utilizes a construction procedure that closely mirrors field practices to establish the DG model. Furthermore, the numerical simulation results of the DG model are calibrated with field data. This work adopts a numerical simulation method that integrates unsteady seepage model for multi-stage fractured horizontal wells with the dilation-recompaction model to develop the DG model. It systematically constructs the geological model of the shale reservoir by utilizing segmented logging data and by segmenting production data. The time series evolution system is developed through an iterative process involving discrete time steps. Results show that the DG model can perform history matching on a multi-stage basis, enabling comprehensive and detailed analysis of the entire reservoir. This process effectively replicates the distribution relationship between each reconstruction zone and the overall productivity. Furthermore, the DG model is capable of accurately simulating the dynamic process of injected high-pressure fluids into the reservoir to fracture the rock and the dynamic evolution law of reservoir properties. Hydraulic fracturing creates a fracture zone that centers on the well’s border and spreads outward radially. The injection volume and failure pressure are significantly correlated with the scale of shale reservoir reconstruction. Following the injection of 790.5 m³ of fracturing fluid in the first stage, the fracture half-length can reach around 148 m, essentially fulfilling the design specifications. Permeability can reach up to 86 mD at this moment, and it can even be maintained at the level of 46 mD during production. In conclusion, the DG model broadens the focus of study on the development of shale reservoirs and lays the groundwork for improving productivity and optimizing hydraulic fracturing design.https://doi.org/10.1038/s41598-024-81896-9Numerical simulationThe DG modelMulti-stage history matchingDynamic evolutionShale oil |
| spellingShingle | Jie Zhan Xifeng Ding Hai Liu Kongjie Wang Zhipeng Wang Wenting Guo Ren-Shi Nie Xianlin Ma Zhenzihao Zhang Research on efficient numerical simulation method for integration fracking with production in shale oil reservoir with multi-source data Scientific Reports Numerical simulation The DG model Multi-stage history matching Dynamic evolution Shale oil |
| title | Research on efficient numerical simulation method for integration fracking with production in shale oil reservoir with multi-source data |
| title_full | Research on efficient numerical simulation method for integration fracking with production in shale oil reservoir with multi-source data |
| title_fullStr | Research on efficient numerical simulation method for integration fracking with production in shale oil reservoir with multi-source data |
| title_full_unstemmed | Research on efficient numerical simulation method for integration fracking with production in shale oil reservoir with multi-source data |
| title_short | Research on efficient numerical simulation method for integration fracking with production in shale oil reservoir with multi-source data |
| title_sort | research on efficient numerical simulation method for integration fracking with production in shale oil reservoir with multi source data |
| topic | Numerical simulation The DG model Multi-stage history matching Dynamic evolution Shale oil |
| url | https://doi.org/10.1038/s41598-024-81896-9 |
| work_keys_str_mv | AT jiezhan researchonefficientnumericalsimulationmethodforintegrationfrackingwithproductioninshaleoilreservoirwithmultisourcedata AT xifengding researchonefficientnumericalsimulationmethodforintegrationfrackingwithproductioninshaleoilreservoirwithmultisourcedata AT hailiu researchonefficientnumericalsimulationmethodforintegrationfrackingwithproductioninshaleoilreservoirwithmultisourcedata AT kongjiewang researchonefficientnumericalsimulationmethodforintegrationfrackingwithproductioninshaleoilreservoirwithmultisourcedata AT zhipengwang researchonefficientnumericalsimulationmethodforintegrationfrackingwithproductioninshaleoilreservoirwithmultisourcedata AT wentingguo researchonefficientnumericalsimulationmethodforintegrationfrackingwithproductioninshaleoilreservoirwithmultisourcedata AT renshinie researchonefficientnumericalsimulationmethodforintegrationfrackingwithproductioninshaleoilreservoirwithmultisourcedata AT xianlinma researchonefficientnumericalsimulationmethodforintegrationfrackingwithproductioninshaleoilreservoirwithmultisourcedata AT zhenzihaozhang researchonefficientnumericalsimulationmethodforintegrationfrackingwithproductioninshaleoilreservoirwithmultisourcedata |