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Geothermal field development optimization under geomechanical constraints and geological uncertainty: Application to a reservoir with stacked formations

S.P. Szklarz, E.G.D. Barros, N. Khoshnevis Gargar, S.H.J. Peeters, J.D. van Wees, V. van Pul-Verboom

2024Geothermics10 citationsDOIOpen Access PDF

Abstract

In this work, numerical optimization based on stochastic gradient methods is used to assist geothermal operators in finding improved field development strategies that are robust to accounted geological uncertainties. Well types, production rate targets and well locations are optimized to maximize the economics of low-enthalpy heat recovery in a real-life case with stacked reservoir formations. Significant improvements are obtained with respect to the strategy designed by engineers. Imposing fault stability constraints impacts significantly the optimal configurations, with coordinated well rates and placement playing a key role to boost efficiency of geothermal production while keeping stress change effects to acceptable limits.

Topics & Concepts

Geothermal gradientPetroleum engineeringField (mathematics)Work (physics)GeologyProduction (economics)Stability (learning theory)Geothermal energyProduction rateEnvironmental scienceComputer scienceProcess engineeringEngineeringMathematicsGeophysicsMechanical engineeringPure mathematicsMachine learningMacroeconomicsEconomicsReservoir Engineering and Simulation MethodsHydraulic Fracturing and Reservoir AnalysisEnhanced Oil Recovery Techniques