Accurate modeling of naturally fracture reservoirs requires a comprehensive understanding of fracture network geometry in three-dimensional space. This is a significant challenge to the realistic construction of discrete fracture network (DFN) models since these reservoirs are often controlled by subseismic-scale fractures whose characteristics are difficult to define. We present results from natural fracture network characterization and parametric DFN modeling within the Horn River Basin that emphasize the major challenges to accurate DFN construction. Fracture network parameters that were found to have the largest impact on model results included fracture stratigraphy, intensity, and orientation dispersion. These results provide insight into the challenges of sparse well samples when attempting to accurately characterize natural fracture geometry. Furthermore, this study highlights the fundamental considerations that are necessary for realistic modeling of naturally fractured reservoirs.
Challenges of Parametric Uncertainty and Sparse Well Samples for Realistic Modeling of Naturally Fractured Reservoirs: Insights From Discrete Fracture Network Modeling in the Horn River Basin
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Komaromi, Bram, Bearinger, Doug, and Chelsey Hillier. "Challenges of Parametric Uncertainty and Sparse Well Samples for Realistic Modeling of Naturally Fractured Reservoirs: Insights From Discrete Fracture Network Modeling in the Horn River Basin." Paper presented at the 2nd International Discrete Fracture Network Engineering Conference, Seattle, Washington, USA, June 2018.
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