Efficient well placement optimization under uncertainty using a virtual drilling procedure

DOI10.1007/S10596-021-10097-4zbMath1496.86016OpenAlexW3207981234MaRDI QIDQ2085041

Mathias C. Bellout, Brage S. Kristoffersen, Thiago L. Silva, Carl Fredrik Berg

Publication date: 14 October 2022

Published in: Computational Geosciences (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10596-021-10097-4

zbMATH Keywords

reservoir simulationartificial neural networksrobust optimizationmachine learningproduction optimizationwell placement optimizationensemble optimizationoptimization with uncertaintytailored trajectories

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Geostatistics (86A32) Potentials, prospecting (86A20)

Uses Software

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• FieldOpt

Cites Work

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• Waterflooding optimization in uncertain geological scenarios
• Hybrid differential evolution and particle swarm optimization for optimal well placement
• A theoretical look at ensemble-based optimization in reservoir management
• An automatic well planner for complex well trajectories
• Introduction to the special issue: Overview of OLYMPUS optimization benchmark challenge
• Application of a particle swarm optimization algorithm for determining optimum well location and type
• Asynchronous Parallel Pattern Search for Nonlinear Optimization
• The ensemble Kalman filter for combined state and parameter estimation
• Revisiting Asynchronous Parallel Pattern Search for Nonlinear Optimization

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