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 …
Applications of neuro fuzzy systems: A brief review and future outline
This paper surveys neuro fuzzy systems (NFS) development using classification and
literature review of articles for the last decade (2002–2012) to explore how various NFS …
literature review of articles for the last decade (2002–2012) to explore how various NFS …
Evolving smart approach for determination dew point pressure through condensate gas reservoirs
To design gas condensate production planes with low uncertainty along with robust
reservoir simulation, precise estimation or monitoring of dew point pressure play a crucial …
reservoir simulation, precise estimation or monitoring of dew point pressure play a crucial …
Applications of Machine Learning in Subsurface Reservoir Simulation—A Review—Part II
A Samnioti, V Gaganis - Energies, 2023 - mdpi.com
In recent years, Machine Learning (ML) has become a buzzword in the petroleum industry,
with numerous applications which guide engineers in better decision making. The most …
with numerous applications which guide engineers in better decision making. The most …
Rapid method to estimate the minimum miscibility pressure (MMP) in live reservoir oil systems during CO2 flooding
Flooding fuel-generated CO 2 into oil reservoirs will lead to two advantages in both
enhanced oil recovery (EOR) and reduction in atmospheric emission of carbon dioxide. The …
enhanced oil recovery (EOR) and reduction in atmospheric emission of carbon dioxide. The …
Rigorous prognostication of permeability of heterogeneous carbonate oil reservoirs: Smart modeling and correlation development
A Rostami, A Baghban, AH Mohammadi… - Fuel, 2019 - Elsevier
Permeability estimation has a major role in mapping quality of the reservoir, reservoir
engineering calculation, reserve estimation, numerical reservoir simulation and planning for …
engineering calculation, reserve estimation, numerical reservoir simulation and planning for …
Integrating support vector regression with genetic algorithm for CO2-oil minimum miscibility pressure (MMP) in pure and impure CO2 streams
XQ Bian, B Han, ZM Du, JN Jaubert, MJ Li - Fuel, 2016 - Elsevier
Accurate knowledge of the minimum miscibility pressure (MMP) is essential in successful
design of any miscible gas injection process, particularly in CO 2 flooding. It is however well …
design of any miscible gas injection process, particularly in CO 2 flooding. It is however well …
Development of an artificial neural network model for predicting the dew point pressure of retrograde gas condensate
Optimal management and development plans for gas condensate reservoirs require
authentic prediction for the dew point pressure (DPP). Traditionally, DPP is experimentally …
authentic prediction for the dew point pressure (DPP). Traditionally, DPP is experimentally …
[HTML][HTML] Application of hybrid support vector regression artificial bee colony for prediction of MMP in CO2-EOR process
MN Amar, N Zeraibi - Petroleum, 2020 - Elsevier
Minimum miscibility pressure (MMP) is a key parameter in the successful design of miscible
gases injection such as CO 2 flooding for enhanced oil recovery process (EOR). MMP is …
gases injection such as CO 2 flooding for enhanced oil recovery process (EOR). MMP is …
Modeling interfacial tension of methane-brine systems at high pressure and high salinity conditions
Natural gas which consists mainly of methane (usually more than 90% in volume), is
becoming increasingly an important and efficient source of energy because of the lower …
becoming increasingly an important and efficient source of energy because of the lower …