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Data Analytics in Reservoir Engineering

Sathish Sankaran, Sébastien Matringe, Mohamed Sid‐Ahmed, Luigi Saputelli, Xian‐Huan Wen, Andreï Popa, Serkan Dursun

202017 citationsDOI

Abstract

Data analytics is fundamentally transforming industries. In recent years, there is a growing application of digital technologies in oil and gas exploration and production. At the same time, oil and gas operations are becoming increasingly complicated with modern facility infrastructures, complex reservoirs, increased regulatory requirements, changing workforce demographics, the fast pace of unconventional-field development and ultimately with much more competition. Data Analytics in Reservoir Engineering focuses on how best to use data analytics to transform the decision-making process in characterizing reservoir parameters, model reservoir behavior and forecast performance.

Topics & Concepts

AnalyticsPaceDemographicsData scienceData analysisComputer scienceField (mathematics)Reservoir engineeringCompetition (biology)Process (computing)WorkforcePetroleum engineeringEngineeringData miningGeologyPetroleumSociologyPaleontologyBiologyGeodesyEcologyDemographyOperating systemMathematicsEconomic growthEconomicsPure mathematicsReservoir Engineering and Simulation MethodsOil and Gas Production TechniquesHydraulic Fracturing and Reservoir Analysis
Data Analytics in Reservoir Engineering | Litcius