Automatic Reservoir Model Identification using Artificial Neural Networks in Pressure Transient Analysis

Mapping Intimacies ◽

10.2118/175850-ms ◽

2015 ◽

Cited By ~ 3

Author(s):

Ahmad M. AlMaraghi ◽

Ahmed H. El-Banbi

Keyword(s):

Neural Networks ◽

Artificial Neural Networks ◽

Transient Analysis ◽

Model Identification ◽

Reservoir Model ◽

Pressure Transient Analysis ◽

Pressure Transient ◽

Artificial Neural

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The Development of an Artificial Neural Network as a Pressure Transient Analysis Tool for Applications in Double-Porosity Reservoirs

10.2118/108604-ms ◽

2007 ◽

Cited By ~ 10

Author(s):

Mohammad Naser Alajmi ◽

Turgay Ertekin

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Transient Analysis ◽

Double Porosity ◽

Analysis Tool ◽

Pressure Transient Analysis ◽

Pressure Transient ◽

Artificial Neural

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Nonlinear model identification and adaptive control of CO2 sequestration process in saline aquifers using artificial neural networks

Applied Soft Computing ◽

10.1016/j.asoc.2012.07.006 ◽

2012 ◽

Vol 12 (11) ◽

pp. 3379-3389 ◽

Cited By ~ 9

Author(s):

Karim Salahshoor ◽

Mohammad Hasan Hajisalehi ◽

Morteza Haghighat Sefat

Keyword(s):

Neural Networks ◽

Artificial Neural Networks ◽

Adaptive Control ◽

Nonlinear Model ◽

Co2 Sequestration ◽

Model Identification ◽

Saline Aquifers ◽

Artificial Neural ◽

Nonlinear Model Identification

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Enhancement of Vorwata Field Reservoir Model by Integration of Pressure Transient Analysis with Real-Time Downhole Pressure Data

10.2118/147907-ms ◽

2011 ◽

Cited By ~ 1

Author(s):

Agus Setiawan ◽

Kirk Hird ◽

Curtis Owen Bennett

Keyword(s):

Real Time ◽

Transient Analysis ◽

Pressure Data ◽

Reservoir Model ◽

Pressure Transient Analysis ◽

Pressure Transient

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Pressure transient analysis of multiple vertical fractures in a composite reservoir model

International Journal of Oil Gas and Coal Technology ◽

10.1504/ijogct.2019.10021155 ◽

2019 ◽

Vol 21 (2) ◽

pp. 201

Author(s):

Guoqiang Xing ◽

Min Tong ◽

Hua Li ◽

Shuhong Wu ◽

Mingxian Wang

Keyword(s):

Transient Analysis ◽

Reservoir Model ◽

Pressure Transient Analysis ◽

Pressure Transient ◽

Vertical Fractures

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Model identification of rotary inverted pendulum using artificial neural networks

2015 International Conference on Recent Developments in Control, Automation and Power Engineering (RDCAPE) ◽

10.1109/rdcape.2015.7281385 ◽

2015 ◽

Author(s):

Deepak Chandran ◽

Bipin Krishna ◽

V. I George ◽

I. Thirunavukkarasu

Keyword(s):

Neural Networks ◽

Artificial Neural Networks ◽

Inverted Pendulum ◽

Model Identification ◽

Artificial Neural ◽

Rotary Inverted Pendulum

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A Comprehensive Application of a Composite Reservoir Model to Pressure Transient Analysis

10.2118/16345-ms ◽

1987 ◽

Cited By ~ 3

Author(s):

J. S. Olarewaju ◽

W. J. Lee

Keyword(s):

Transient Analysis ◽

Reservoir Model ◽

Pressure Transient Analysis ◽

Pressure Transient

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Grey-box Model Identification and Fault Detection of Wind Turbines Using Artificial Neural Networks

2018 IEEE 16th International Conference on Industrial Informatics (INDIN) ◽

10.1109/indin.2018.8471943 ◽

2018 ◽

Cited By ~ 5

Author(s):

Reihane Rahimilarki ◽

Zhiwei Gao

Keyword(s):

Neural Networks ◽

Artificial Neural Networks ◽

Fault Detection ◽

Wind Turbines ◽

Model Identification ◽

Box Model ◽

Artificial Neural

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Fractional Derivative Approach in Pressure Transient Analysis of Multi-Porosity Fractal Reservoir Model for Shale Gas with Phase Redistribution

10.2118/175504-ms ◽

2015 ◽

Author(s):

Vidit Mohan ◽

S. K. Mishra ◽

Saurav Sengupta

Keyword(s):

Fractional Derivative ◽

Shale Gas ◽

Transient Analysis ◽

Reservoir Model ◽

Pressure Transient Analysis ◽

Pressure Transient

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Water Distribution Networks Model Identification using Artificial Neural Networks

2019 IEEE AFRICON ◽

10.1109/africon46755.2019.9134040 ◽

2019 ◽

Author(s):

Thapelo Mosetlhe ◽

Yskandar Hamam ◽

Shengzhi Du ◽

Eric Monacelli ◽

Yasser Alayli

Keyword(s):

Neural Networks ◽

Artificial Neural Networks ◽

Water Distribution ◽

Model Identification ◽

Distribution Networks ◽

Water Distribution Networks ◽

Artificial Neural

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WELL TEST MODEL IDENTIFICATION BY ARTIFICIAL NEURAL NETWORKS

Petroleum Science and Technology ◽

10.1080/10916460008949873 ◽

2000 ◽

Vol 18 (7-8) ◽

pp. 783-794

Author(s):

M. V. Kök ◽

E. Karakaya

Keyword(s):

Neural Networks ◽

Artificial Neural Networks ◽

Model Identification ◽

Test Model ◽

Well Test ◽

Artificial Neural ◽

Well Test Model

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