Enhanced machine learning-ensemble method for estimation of oil formation volume factor at reservoir conditions.

ABSTRACT: Since the oil formation volume factor (B_o) is crucial for various calculations in petroleum engineering, such as estimating original oil in place, fluid flow in the porous reservoir medium, and production from wells, this parameter is predicted using conventional methods including experimental tests, correlations, Equations of State, and artificial intelligence models. As a substitute to conventional black oil methods, the compositional oil method has been recently used for accurately predicting the oil formation volume factor. Although oil composition is essential for estimating this parameter, it is time-consuming and cost-intensive to obtain through laboratory analysis. Therefore, the input parameter of dissolved gas in oil has been used as a representative of the amount of l

SUBMITTER: Kharazi Esfahani P 

PROVIDER: S-EPMC10502101 | biostudies-literature | 2023 Sep

REPOSITORIES: biostudies-literature