Design of neural networks using genetic algorithm for the permeability estimation of the reservoir
M Saemi, M Ahmadi, AY Varjani - Journal of Petroleum Science and …, 2007 - Elsevier
Permeability is a key parameter associated with the characterization of any hydrocarbon
reservoir. In fact, it is not possible to have accurate solutions to many petroleum engineering …
reservoir. In fact, it is not possible to have accurate solutions to many petroleum engineering …
Committee neural networks for porosity and permeability prediction from well logs
A Bhatt, HB Helle - Geophysical prospecting, 2002 - earthdoc.org
Neural computing has moved beyond simple demonstration to more significant applications.
Encouraged by recent developments in artificial neural network (ANN) modelling …
Encouraged by recent developments in artificial neural network (ANN) modelling …
A committee machine with empirical formulas for permeability prediction
CH Chen, ZS Lin - Computers & Geosciences, 2006 - Elsevier
This study integrates log-derived empirical formulas and the concept of the committee
machine to develop an improved model for predicting permeability. A set of three empirical …
machine to develop an improved model for predicting permeability. A set of three empirical …
Evolving neural network using real coded genetic algorithm for permeability estimation of the reservoir
R Irani, R Nasimi - Expert Systems with Applications, 2011 - Elsevier
In this work we investigate how artificial neural network (ANN) evolution with genetic
algorithm (GA) improves the reliability and predictability of artificial neural network. This …
algorithm (GA) improves the reliability and predictability of artificial neural network. This …
A new approach to improve neural networks' algorithm in permeability prediction of petroleum reservoirs using supervised committee machine neural network …
S Karimpouli, N Fathianpour, J Roohi - Journal of Petroleum Science and …, 2010 - Elsevier
Reservoir permeability is a critical parameter for the evaluation of hydrocarbon reservoirs.
There are a lot of well log data related with this parameter. In this study, permeability is …
There are a lot of well log data related with this parameter. In this study, permeability is …
Prediction of hydrocarbon reservoirs permeability using support vector machine
R Gholami, AR Shahraki… - Mathematical Problems …, 2012 - Wiley Online Library
Permeability is a key parameter associated with the characterization of any hydrocarbon
reservoir. In fact, it is not possible to have accurate solutions to many petroleum engineering …
reservoir. In fact, it is not possible to have accurate solutions to many petroleum engineering …
Shear wave velocity estimation from conventional well log data by using a hybrid ant colony–fuzzy inference system: A case study from Cheshmeh–Khosh oilfield
A Nourafkan, A Kadkhodaie-Ilkhchi - Journal of Petroleum Science and …, 2015 - Elsevier
Abstract Characterization of geomechanical parameters of hydrocarbon reservoirs such as
compressional and shear wave velocities is a main component of petrophysical …
compressional and shear wave velocities is a main component of petrophysical …
Neural network-based estimation of principal metal contents in the Hokuroku district, northern Japan, for exploring Kuroko-type deposits
K Koike, S Matsuda, T Suzuki, M Ohmi - Natural resources research, 2002 - Springer
The Hokuroku district, extending over 40× 40 km 2 in northern Japan, is known to be
dominated by kuroko-type massive sulfide deposits that have a genetic relation to …
dominated by kuroko-type massive sulfide deposits that have a genetic relation to …
Prediction of permeability in a tight gas reservoir by using three soft computing approaches: A comparative study
S Baziar, M Tadayoni, M Nabi-Bidhendi… - Journal of Natural Gas …, 2014 - Elsevier
Permeability is the most important petrophysical property in tight gas reservoirs. Many
researchers have worked on permeability measurement methods, but there is no universal …
researchers have worked on permeability measurement methods, but there is no universal …
Utilization of support vector machine to calculate gas compressibility factor
A Chamkalani, S Zendehboudi, R Chamkalani… - Fluid Phase …, 2013 - Elsevier
The compressibility factor (Z-factor) is considered as a very important parameter in the
petroleum industry because of its broad applications in PVT characteristics. In this study, a …
petroleum industry because of its broad applications in PVT characteristics. In this study, a …