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

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

The design of optimal infrastructure is essential for the deployment of commercial and large-
scale carbon capture and storage (CCS) technology. During the design process, it is …

Well location optimization aims to maximize the economic profit of oil and gas field
development while respecting various constraints. The limitations of the currently available …

With the energy demand arising globally, geothermal recovery by Enhanced Geothermal
Systems (EGS) becomes a promising option to bring a sustainable energy supply and …

Steam-assisted gravity drainage (SAGD) is a successful thermal recovery process and has
been widely applied to oil sands production. The prediction of oil production of the SAGD …

Abstract Machine-learning-based proxy models are often used to replace many of the flow
simulations required in optimizations of subsurface flow processes. Because the optimizer …

To reduce environmental risks and impacts from orphaned wells (abandoned oil and gas
wells), it is essential to first locate and then plug these wells. Manual reading and digitizing …

Interlayer heterogeneity, an inevitable and complex challenge during water flooding,
seriously constrains the spread of the sweep region and oil recovery enhancement in …

Field development and control optimization aim to maximize the economic profit of oil and
gas production while respecting various constraints such as production limits imposed by …