Aiming to find the most suitable development schemes of conventional and unconventional
reservoirs for maximum energy supply or economic benefits, reservoir production …

In the last few decades, deep learning (DL) has afforded solutions to macroscopic problems
in petroleum engineering, but mechanistic problems at the microscale have not benefited …

Surrogate-assisted evolutionary algorithms (SAEAs) have proven to be effective in solving
computationally expensive optimization problems (EOPs). However, the performance of …

Optimization of subsurface hydrocarbon production holds paramount importance for
decision-makers as it determines crucial development strategies such as optimal well …

Sustainable intensification needs to optimize irrigation and fertilization strategies while
increasing crop yield. To enable more precision and effective agricultural management, a bi …

The wake in a large-scale Floating Offshore Wind Farm (FOWF) can reduce the wind speed
in downstream areas, thereby affecting and reducing the power production of FOWF. To …

An enhanced geothermal system is essential to provide sustainable and long-term
geothermal energy supplies and reduce carbon emissions. Optimal well-control scheme for …

In the face of escalating global energy demands, this study introduces an Adaptive
Constraint-Guided Surrogate Enhanced Evolutionary Algorithm (ACG-EBS) for optimizing …

In the last decade, low-quality unconventional oil and gas resources have become the
primary source for domestic oil and gas storage and production, and hydraulic fracturing has …

Many real-world problems that require substantial execution time and computational
resources for evaluating candidate solutions can be termed Expensive Optimization …