Applied Spatiotemporal Data Analytics and Machine Learning [Working Title] 2024
DOI: 10.5772/intechopen.115059
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Geomodeling Insights for Numerical Simulations of Naturally Fractured Reservoirs

Otto Meza Camargo,
Marko Maucec

Abstract: The continuous evolution of technologies in subsurface petroleum exploration and characterization makes imperative the creation of multidisciplinary up-to-date technical workflows aimed to represent complex reservoirs with robust reliability. The objective of this chapter is to promote an innovative and integrated collection of the latest technologies available for the study of naturally fractured hydrocarbon reservoirs. We assembled some of the present-day advanced technologies ranging from high-resolution di… Show more

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