Partially Separated Metamodels With Evolution Strategies for Well-Placement Optimization

Well Placement Optimization Using Differential Evolution Algorithm

Determining the optimal location of wells with the aid of an automated search algorithm is a significant and difficult step in the reservoir development process. It is a computationally intensive task due to the large number of simulation runs required. Therefore,the key issue to such automatic optimization is development of algorithms that can find acceptable solutions with a minimum numbe...

well placement optimization using differential evolution algorithm

determining the optimal location of wells with the aid of an automated search algorithm is a significant and difficult step in the reservoir development process. it is a computationally intensive task due to the large number of simulation runs required. therefore,the key issue to such automatic optimization is development of algorithms that can find acceptable solutions with a minimum number of...

Using Evolution Strategy with Meta-models for Well Placement Optimization

Optimum implementation of non-conventional wells allows us to increase considerably hydrocarbon recovery. By considering the high drilling cost and the potential improvement in well productivity, well placement decision is an important issue in field development. Considering complex reservoir geology and high reservoir heterogeneities, stochastic optimization methods are the most suitable appro...

Optimization Strategies for Sensor and Actuator Placement

Heterogeneity-Aware Placement Strategies for Query Optimization