Estimation of reservoir rock properties from conventional well log data by using a hybrid particle swarm optimization and neural network approach

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ZAHMATKESH IMAN; Mohsenipour Abouzar; Amraei Amin

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Journal: ADVANCED APPLIED GEOLOGY Year:2020 | Volume:10 | Issue:1 Page(s): 96-109

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Title

Estimation of reservoir rock properties from conventional well log data by using a hybrid particle swarm optimization and neural network approach

Author(s)

ZAHMATKESH IMAN | Mohsenipour Abouzar | Amraei Amin | Issue Writer Certificate

Keywords

Hybrid particle swarm optimization –neural network strategy (PSO–ANN)Q1

Reservoir parametersQ1

PermeabilityQ1

Particle swarm optimizationQ2

Abstract

1-Introduction The geomechanical and petrophysical parameters of the reservoir such as shear wave velocity, porosity and Permeability are regarded as the most important elements in estimating reserves, reservoir simulation, and overall field exploitation and development strategies. Recently, several different methods of artificial intelligence techniques have been used to predict this fundamental parameter by using well log data. However, predicting the characteristics of heterogeneous reservoirs always has been facing many problems and an appropriate response is rarely achieved. This study offers an improved approach for Reservoir parameters estimation by integration of stochastic optimization in the structure of a neural network system...

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APA: Copy

ZAHMATKESH, IMAN, Mohsenipour, Abouzar, & Amraei, Amin. (2020). Estimation of reservoir rock properties from conventional well log data by using a hybrid particle swarm optimization and neural network approach. ADVANCED APPLIED GEOLOGY, 10(1 ), 96-109. SID. https://sid.ir/paper/394881/en

Vancouver: Copy

ZAHMATKESH IMAN, Mohsenipour Abouzar, Amraei Amin. Estimation of reservoir rock properties from conventional well log data by using a hybrid particle swarm optimization and neural network approach. ADVANCED APPLIED GEOLOGY[Internet]. 2020;10(1 ):96-109. Available from: https://sid.ir/paper/394881/en

IEEE: Copy

IMAN ZAHMATKESH, Abouzar Mohsenipour, and Amin Amraei, “Estimation of reservoir rock properties from conventional well log data by using a hybrid particle swarm optimization and neural network approach,” ADVANCED APPLIED GEOLOGY, vol. 10, no. 1 , pp. 96–109, 2020, [Online]. Available: https://sid.ir/paper/394881/en

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