[HTML][HTML] A review of the supercritical CO2 fluid applications for improved oil and gas production and associated carbon storage
Supercritical fluids find use in various areas in oil and gas production operations due to their
unique properties. Supercritical CO 2 (sc-CO 2) with its reduced viscosity, increased …
unique properties. Supercritical CO 2 (sc-CO 2) with its reduced viscosity, increased …
Applications of hybrid models in chemical, petroleum, and energy systems: A systematic review
Mathematical modeling and simulation methods are important tools in studying various
processes in science and engineering. In the current review, we focus on the applications of …
processes in science and engineering. In the current review, we focus on the applications of …
The genetic algorithm based back propagation neural network for MMP prediction in CO2-EOR process
G Chen, K Fu, Z Liang, T Sema, C Li… - Fuel, 2014 - Elsevier
In this study, a genetic algorithm based back propagation artificial neural network model was
developed and used to predict the minimum miscibility pressure, ie MMP, for both pure and …
developed and used to predict the minimum miscibility pressure, ie MMP, for both pure and …
A machine learning model for predicting the minimum miscibility pressure of CO2 and crude oil system based on a support vector machine algorithm approach
CO 2 enhanced oil recovery (EOR) is a potential way for carbon capture, utilization and
storage (CCUS). However, the effect of CO 2 injection is greatly influenced by the reservoir …
storage (CCUS). However, the effect of CO 2 injection is greatly influenced by the reservoir …
Predicting minimum miscible pressure in pure CO2 flooding using machine learning: Method comparison and sensitivity analysis
CO 2 injection for enhanced oil recovery (EOR) is widely recognized as an efficient
technique for carbon capture, utilization, and storage (CCUS). This operation has a …
technique for carbon capture, utilization, and storage (CCUS). This operation has a …
Intelligent model for prediction of CO2–Reservoir oil minimum miscibility pressure
Multiple contact miscible floods such as injection of relatively inexpensive gases into oil
reservoirs are considered as well-established enhanced oil recovery (EOR) techniques for …
reservoirs are considered as well-established enhanced oil recovery (EOR) techniques for …
Implementing radial basis function networks for modeling CO2-reservoir oil minimum miscibility pressure
Gas injection process is one of the most dependable techniques in enhanced oil recovery
(EOR) methods. Multiple contact miscible injection is the method that has been well …
(EOR) methods. Multiple contact miscible injection is the method that has been well …
A proposed iteration optimization approach integrating backpropagation neural network with genetic algorithm
HX Huang, JC Li, CL Xiao - Expert Systems with Applications, 2015 - Elsevier
An iteration optimization approach integrating backpropagation neural network (BPNN) with
genetic algorithm (GA) is proposed. The main idea of the approach is that a BPNN model is …
genetic algorithm (GA) is proposed. The main idea of the approach is that a BPNN model is …
Utilizing artificial intelligence techniques for modeling minimum miscibility pressure in carbon capture and utilization processes: a comprehensive review and …
MN Amar, H Djema, K Ourabah, FM Alqahtani… - Energy & …, 2024 - ACS Publications
The carbon dioxide (CO2) based enhanced oil recovery methods (EORs) are considered
among the promising techniques for increasing the recovery factor from mature oil reservoirs …
among the promising techniques for increasing the recovery factor from mature oil reservoirs …
Application of machine learning to evaluating and remediating models for energy and environmental engineering
H Chen, C Zhang, H Yu, Z Wang, I Duncan, X Zhou… - Applied Energy, 2022 - Elsevier
Abstract Machine learning (ML) algorithms have been increasingly successful in their
applications to solve energy and environmental engineering problems. ML algorithms have …
applications to solve energy and environmental engineering problems. ML algorithms have …