[HTML][HTML] 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 …
Review of the effect of temperature on oil-water relative permeability in porous rocks of oil reservoirs
Thermal methods of heavy oil recovery involve multiphase flow at high temperatures.
Numerical simulation studies of such processes require accounting for changes in the multi …
Numerical simulation studies of such processes require accounting for changes in the multi …
Permeability prediction and diagenesis in tight carbonates using machine learning techniques
H Al Khalifah, PWJ Glover, P Lorinczi - Marine and Petroleum Geology, 2020 - Elsevier
Abstract Machine learning techniques have found their way into many problems in
geoscience but have not been used significantly in the analysis of tight rocks. We present a …
geoscience but have not been used significantly in the analysis of tight rocks. We present a …
Determination of bubble point pressure & oil formation volume factor of crude oils applying multiple hidden layers extreme learning machine algorithms
An important requirement of reservoir management is to understand the properties of
reservoir fluids and dependent phase behaviors. This makes it possible to determine the …
reservoir fluids and dependent phase behaviors. This makes it possible to determine the …
Determination of bubble point pressure and oil formation volume factor: Extra trees compared with LSSVM-CSA hybrid and ANFIS models
Successful field development relies on effective reservoir management, which, in turn, is, to
a great extent, influenced by the knowledge of reservoir fluid properties and phase …
a great extent, influenced by the knowledge of reservoir fluid properties and phase …
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 …
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 …
Efficient estimation of natural gas compressibility factor using a rigorous method
The compressibility factor (Z-factor) of natural gases is necessary in many gas reservoir
engineering calculations. Accurate determination of this parameter is of crucial need and …
engineering calculations. Accurate determination of this parameter is of crucial need and …
[HTML][HTML] An insight into the estimation of drilling fluid density at HPHT condition using PSO-, ICA-, and GA-LSSVM strategies
SM Alizadeh, I Alruyemi, R Daneshfar… - Scientific Reports, 2021 - nature.com
The present study evaluates the drilling fluid density of oil fields at enhanced temperatures
and pressures. The main objective of this work is to introduce a set of modeling and …
and pressures. The main objective of this work is to introduce a set of modeling and …
State-of-the-art least square support vector machine application for accurate determination of natural gas viscosity
Estimation of the viscosity of naturally occurring petroleum gases is essential to provide
more accurate analysis of gas reservoir engineering problems. In this study, a new soft …
more accurate analysis of gas reservoir engineering problems. In this study, a new soft …