Evaluates different conductivity models' impact on well performance in unconventional reservoirs, suggesting improved simulation accuracy.
Reservoir simulation of unconventional resources has become increasingly important due to advancing technologies and the growing demand for efficient hydrocarbon recovery. These reservoirs present distinct challenges related to characterization, multiphase flow behavior, and production forecasting. Reservoir simulation workflows integrate geological, petrophysical, and fluid-property data to better represent subsurface behavior. As hydraulic fractures provide the primary pathways for fluid flow in unconventional reservoirs, accurately modeling fracture geometry and conductivity is essential for reliable reserves estimation, production forecasting, and field development planning. Fracture conductivity is controlled by several coupled processes, including fracture propagation, proppant transport, proppant placement, and stress-dependent permeability, which makes its accurate estimation challenging. Although commercial hydraulic fracturing software incorporates geomechanical and particle-transport models to predict conductivity, their outputs are not always directly compatible with reservoir simulation models and often fail to reproduce observed production trends. This study implements various conductivity models in commercial software and evaluates their performance within reservoir simulation. A fracture model built from publicly available data is integrated into a mechanistic reservoir simulation framework to assess the impact of different conductivity models on pressure distribution, depletion behavior, and production profiles. The results provide practical insights into conductivity modeling approaches that balance realism with applicability in reservoir simulation workflows. Different conductivity models, including constant, expanded conductive zone, linear, and multiple exponential forms, were evaluated. It was found that conductivity variation directly impacts well profiles, ultimate recoveries and well spacing in unconventional reservoir development.
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Gachanja et al. (2026) studied this question.
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