Closed-loop stochastic oilfield optimization for hedging against geologic, development, and operation uncertainty

DOI10.1007/S10596-019-09902-YzbMath1434.86039OpenAlexW2999760268WikidataQ126398970 ScholiaQ126398970MaRDI QIDQ2187893

Atefeh Jahandideh, Behnam Jafarpour

Publication date: 3 June 2020

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

Full work available at URL: https://doi.org/10.1007/s10596-019-09902-y

zbMATH Keywords

closed-loop stochastic optimizationoilfield developmentoperation uncertainty

Mathematics Subject Classification ID

Applications of mathematical programming (90C90) Stochastic programming (90C15) Geostatistics (86A32) Potentials, prospecting (86A20)

Related Items (4)

Closed-loop stochastic oilfield optimization for hedging against geologic, development, and operation uncertainty ⋮ Deep reinforcement learning for optimal well control in subsurface systems with uncertain geology ⋮ Field development optimization using a sequence of surrogate treatments ⋮ Use of low-fidelity models with machine-learning error correction for well placement optimization

Uses Software

• EnKF
• MRST
• SGeMS

Cites Work

• A simultaneous perturbation stochastic approximation algorithm for coupled well placement and control optimization under geologic uncertainty
• Closed-loop reservoir management on the Brugge test case
• On optimization algorithms for the reservoir oil well placement problem
• A unified formulation for generalized oilfield development optimization
• Closed-loop stochastic oilfield optimization for hedging against geologic, development, and operation uncertainty
• Efficient real-time reservoir management using adjoint-based optimal control and model updating
• The ensemble Kalman filter for combined state and parameter estimation

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