A stochastic simplex approximate gradient (StoSAG) for optimization under uncertainty
We consider a technique to estimate an approximate gradient using an ensemble of
randomly chosen control vectors, known as Ensemble Optimization (EnOpt) in the oil and …
randomly chosen control vectors, known as Ensemble Optimization (EnOpt) in the oil and …
Well placement optimization: A survey with special focus on application for gas/gas-condensate reservoirs
Well placement within a reservoir is a challenging step in the reservoir development
process. Determining the optimal well location is a complex problem involving many factors …
process. Determining the optimal well location is a complex problem involving many factors …
Multi-objective optimization for rapid and robust optimal oilfield development under geological uncertainty
Optimal well placement is critical to oil and gas field development. Typical workflows involve
procedures to place a new well or a group of new wells in a reservoir in order to maximize …
procedures to place a new well or a group of new wells in a reservoir in order to maximize …
A reduced random sampling strategy for fast robust well placement optimization
Abstract Model-based decision-making in oilfield development often involves hundreds of
computationally demanding reservoir simulation runs. In particular, well placement …
computationally demanding reservoir simulation runs. In particular, well placement …
Improving the ensemble-optimization method through covariance-matrix adaptation
Ensemble optimization (referred to throughout the remainder of the paper as EnOpt) is a
rapidly emerging method for reservoir-model-based production optimization. EnOpt uses an …
rapidly emerging method for reservoir-model-based production optimization. EnOpt uses an …
Gradient-based constrained well placement optimization
O Volkov, MC Bellout - Journal of Petroleum Science and Engineering, 2018 - Elsevier
A novel well placement gradient approximation methodology is developed based on
performing finite difference approximations of augmented Lagrangian derivatives within the …
performing finite difference approximations of augmented Lagrangian derivatives within the …
Ensemble-based optimization of hydraulically fractured horizontal well placement in shale gas reservoir through Hough transform parameterization
L Xue, SH Gu, XE Jiang, YT Liu, C Yang - Petroleum Science, 2021 - Springer
Shale gas reservoirs have been successfully developed due to the advancement of the
horizontal well drilling and multistage hydraulic fracturing techniques. However, the …
horizontal well drilling and multistage hydraulic fracturing techniques. However, the …
A theoretical look at ensemble-based optimization in reservoir management
Ensemble-based optimization has recently received great attention as a potentially powerful
technique for life-cycle production optimization, which is a crucial element of reservoir …
technique for life-cycle production optimization, which is a crucial element of reservoir …
Well placement optimization under time-dependent uncertainty using an ensemble Kalman filter and a genetic algorithm
J Lyons, H Nasrabadi - Journal of Petroleum Science and Engineering, 2013 - Elsevier
Determining the optimal well location in a reservoir is a challenging problem. It involves
taking several factors into account, including geological uncertainty, reservoir and fluid …
taking several factors into account, including geological uncertainty, reservoir and fluid …
Iterative ensemble Kalman filter and genetic algorithm for automatic reconstruction of relative permeability curves in the subsurface multi-phase flow
Relative permeability curves are one of the main factors that control the behavior of multi-
phase flow in underground energy resources. The incorrect selection of relative permeability …
phase flow in underground energy resources. The incorrect selection of relative permeability …