An artificial-intelligence-based petrophysical property predictor for compositional volatile oil reservoir using three-phase production data
Zhenzihao Zhang,
Turgay Ertekin,
Xianlin Ma
et al.
Abstract:When considering multiphase flow scenarios, the interpretation of petrophysical properties poses significant challenges for production forecasts and reservoir modeling. The findings of the numerical modeling were therefore subject to uncertainty because characteristics like relative permeability and capillary pressure curve were hardly ever bound by interpretations. The uncertainty may result in inaccurate predictions of reservoir performance and skewed perceptions of the reservoir. Due to the difficulty in di… Show more
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