Deep Learning Approach for Robust Prediction of Reservoir Bubble Point Pressure.

ABSTRACT: The bubble point pressure (P _b) is a crucial pressure-volume-temperature (PVT) property and a primary input needed for performing many petroleum engineering calculations, such as reservoir simulation. The industrial practice of determining P _b is by direct measurement from PVT tests or prediction using empirical correlations. The main problems encountered with the published empirical correlations are their lack of accuracy and the noncomprehensive data set used to develop the model. In addition, most of the published correlations have not proven the relationships between the inputs and outputs as part of the validation process (i.e., no trend analysis was conducted). Nowadays, deep learning techniques such as long short-term memory (LSTM) networks have b

SUBMITTER: Alakbari FS 

PROVIDER: S-EPMC8388097 | biostudies-literature | 2021 Aug

REPOSITORIES: biostudies-literature