Application of Discrete Fracture Network Model in the Simulation of Massive Fracturing in Tight Oil Reservoir
Massive fracturing technology can form a complex fracture network and a large drainage area by multi-stage/multi-cluster perforation and injection of low viscosity fluids such as silckwater.the traditional bi-wing planar model is not applicable in the simulation of massive fracturing, and a new netw...
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| Veröffentlicht in: | IOP conference series. Earth and environmental science 2019-12, Vol.358 (4), p.42028 |
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| creator | Ming, He Chun Zhi, Shi San Zhanghui Shuai, Li Jin, Chen Ning, Cheng Duanguifu |
| description | Massive fracturing technology can form a complex fracture network and a large drainage area by multi-stage/multi-cluster perforation and injection of low viscosity fluids such as silckwater.the traditional bi-wing planar model is not applicable in the simulation of massive fracturing, and a new network model is needed. The pseudo-three-dimension (P3D) Discrete Fracture Network (DFN) model are based on self-similar solution methodology, and the fracture characteristics are then calculated numerically. we performed a comparison between DFN model and Cluster Facture model through the integration of rock mechanics, well logging and micro seismic detection technology. After the mini-fracture analysis and closure analysis, parameters like instantaneous shut-in pressure (ISIP), closure pressure and reservoir permeability were obtained. Based on these parameters, pressure history match and SRV match were performed, the result shows that DFN model works better than the Cluster Fracture model in the matching. The research proves the feasibility of DFN model in the simulation of massive fracturing in tight oil reservoirs. |
| doi_str_mv | 10.1088/1755-1315/358/4/042028 |
| format | Article |
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The pseudo-three-dimension (P3D) Discrete Fracture Network (DFN) model are based on self-similar solution methodology, and the fracture characteristics are then calculated numerically. we performed a comparison between DFN model and Cluster Facture model through the integration of rock mechanics, well logging and micro seismic detection technology. After the mini-fracture analysis and closure analysis, parameters like instantaneous shut-in pressure (ISIP), closure pressure and reservoir permeability were obtained. Based on these parameters, pressure history match and SRV match were performed, the result shows that DFN model works better than the Cluster Fracture model in the matching. 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| subjects | Clusters Computational fluid dynamics Drainage area Fracture mechanics Mathematical models Oil reservoirs Parameters Permeability Pressure Reservoirs Rock mechanics Self-similarity Simulation Technology assessment |
| title | Application of Discrete Fracture Network Model in the Simulation of Massive Fracturing in Tight Oil Reservoir |
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