Abstract Machine Learning (ML) has demonstrated its immense contribution to reservoir
engineering, particularly reservoir simulation. The coupling of ML and metaheuristic …

In the area of reservoir engineering, the optimization of oil and gas production is a complex
task involving a myriad of interconnected decision variables shaping the production system's …

Abstract Machine learning application in the oil and gas industry is rapidly becoming
popular and in recent years has been applied in the optimization of production for various …

CO 2 enhanced oil recovery (CO 2-EOR) is a mature technology to improve production from
low permeability reservoirs. The CO 2-EOR process has the potential of both improving oil …

Carbon dioxide enhanced oil recovery (CO 2-EOR) projects not only extract residual oil but
also sequestrate CO 2 in the depleted reservoirs. This study develops a machine-learning …

Expensive multi-objective combinatorial optimization problems have constraints in the
number of objective function evaluations due to time, financial, or resource restrictions. As …

Summary CO 2-water-alternating-gas (CO 2-WAG) is a reservoir development method that
can simultaneously enhance oil recovery and achieve CO 2 storage. However, improperly …

Attaining reliable forecasts in the petroleum industry is a constant challenge, prompting
ongoing research into models that empower engineers to make informed decisions. The …

This paper will present a robust workflow to address multiobjective optimization (MOO) of
carbon dioxide (CO 2)-enhanced oil recovery (EOR)-sequestration projects with a large …

The petroleum reservoir represents a complex heterogeneous system that requires thorough
characterization prior to the implementation of any incremental recovery technique. One of …