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

The overall efficiency of the oil displacement processes, and the amount of oil produced
after the primary recovery depend on areal (EA), vertical (EV), and displacement (ED) sweep …

Hydrocarbon (re‐) development projects need to be evaluated under uncertainty.
Forecasting oil and gas production needs to capture the ranges of the multitude of uncertain …

Steam huff and puff injection is one of the thermal EOR methods in which steam is injected
in a cyclical manner alternating with oil production. The cost and time inefficiency problem of …

In the numerical simulations of thermal recovery for unconventional resources, reservoir
models involve complex multicomponent-multiphase flow in non-isothermal conditions …

Steam-assisted gravity drainage (SAGD) is an effective enhanced oil recovery method for
heavy oil reservoirs. The addition of certain amounts of noncondensable gases (NCG) may …

Two new, non-intrusive reduced order frameworks for the faster modelling of gas reservoirs
with time-varying production are presented and compared. The first method is an extension …

As major oil and gas companies have been investing in shale oil and gas resources, even
though has been part of the oil and gas industry for long time, shale oil and gas has gained …

Forecasting production from hydrocarbon fields is challenging because of the large number
of uncertain model parameters and the multitude of observed data that are measured. The …

In this article, a Colombian field was chosen which is located in Puerto Nare, Antioquia
where there is a good location to install Concentrated Solar Power (CSP), which consists of …