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• W2509311138 abstract "Hydraulic fracture treatments may induce complex network geometries that are challenging to incorporate in numerical flow simulators. To capture this complexity, we propose a workflow that integrates a semi-stochastic Discrete Fracture Network (DFN) generator constrained by Microseismic events and core data and an efficient Perpendicular Bisector (PEBI) grid generator for the explicit discretization of the network. We applied this workflow to evaluate the effect of DFN related uncertainties on production performance. We developed a DFN model that constrains the location of natural fractures by microseismic events and samples fracture characteristics from core-data-based Probability Density Functions (PDFs). The model also interconnects natural and hydraulic fractures through a geomechanics-based algorithm. For an efficient fracture discretization, we developed a PEBI meshing technique capable to conform to low-angle intersections of extensively clustered network, incorporating optimization algorithms that reduce highly skewed cells, and ensure good mesh quality. Finally, to evaluate the impact of DFN related uncertainties on production, we implemented an efficient Monte Carlo (MC) methodology that minimizes flow simulations. Our integrated workflow provides a methodology to efficiently model and mesh explicitly complex DFN systems for numerical fluid simulations, incorporating microseismic and core data. Furthermore, this methodology, together with the implementation of an efficient MC technique, allows to evaluate quantitatively the impact on production forecast of DFN related uncertainties, which come from the inherent randomness of the DFN modeling and the lack of accurate knowledge of PDF parameters due to incomplete fracture characterization." @default.
• W2509311138 created "2016-09-16" @default.
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• W2509311138 date "2016-08-01" @default.
• W2509311138 modified "2023-10-18" @default.
• W2509311138 title "An integrated workflow for characterization and simulation of complex fracture networks utilizing microseismic and horizontal core data" @default.
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• W2509311138 doi "https://doi.org/10.1016/j.jngse.2016.08.024" @default.
• W2509311138 hasPublicationYear "2016" @default.
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