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Proceedings Papers

Production Forecasting in Conventional Oil Reservoirs Using Deep Learning

Cenk Temizel Temizel, Uchenna Odi, Nouf Al-Sulaiman, Karri Reddy, Dike Putra, Mesut Yurukcu, Hakki Aydin, Cengiz Yegin
Paper presented at the SPE Western Regional Meeting, April 26–28, 2022
Paper Number: SPE-209277-MS
DOI: https://doi.org/10.2118/209277-MS
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Analyzing X-Ray CT Images from Unconventional Reservoirs Using Deep Generative Models

Yulman Perez Claro, Niccolo Dal Santo, Vignesh Krishnan, Anthony Kovscek
Paper presented at the SPE Western Regional Meeting, April 26–28, 2022
Paper Number: SPE-209280-MS
DOI: https://doi.org/10.2118/209280-MS
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Effective Neural Networks Models for Inferred Production Prediction in ESP Equipped Wells

Andrei Popa, Jacob Umbriaco, Alexia Tirtawidjaja
Paper presented at the SPE Western Regional Meeting, April 26–28, 2022
Paper Number: SPE-209266-MS
DOI: https://doi.org/10.2118/209266-MS
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A Machine Learning Analysis to Relate Flow Pattern and Pressure Gradient During Gas Kicks Under Static Conditions

Chinemerem Edmond Obi, Yusuf Falola, Kaushik Manikonda, Abu Rashid Hasan, Mohammad Azizur Rahman
Paper presented at the SPE Western Regional Meeting, April 26–28, 2022
Paper Number: SPE-209333-MS
DOI: https://doi.org/10.2118/209333-MS
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Reduction of Casing Failure Risk via SMART Adjustment of Casing Design and/or Downhole Practices

Christine Ikram Noshi, Mahmood Amani
Paper presented at the SPE Western Regional Meeting, April 26–28, 2022
Paper Number: SPE-209312-MS
DOI: https://doi.org/10.2118/209312-MS
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Failure Prediction for SRP using Analytic Solutions

Viorica Sirghii, Rudolf Konrad Fruhwirth, Herbert Hofstaetter, Reinhard Pongratz, Michael Nirtl
Paper presented at the SPE Western Regional Meeting, April 20–22, 2021
Paper Number: SPE-200825-MS
DOI: https://doi.org/10.2118/200825-MS
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Novel Application to Recognize a Breakdown Pressure Event on Time Series Frac Data Vs. an Artificial Intelligence Approach

Alberto Jose Ramirez, Jessica Graciela Iriarte
Paper presented at the SPE Western Regional Meeting, April 20–22, 2021
Paper Number: SPE-200846-MS
DOI: https://doi.org/10.2118/200846-MS
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Deep Learning for Downhole Data Prediction: A Cost-Effective Data Telemetry Through Data Analytics

Bharat Thakur, Robello Samuel
Paper presented at the SPE Western Regional Meeting, April 20–22, 2021
Paper Number: SPE-200870-MS
DOI: https://doi.org/10.2118/200870-MS
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Prediction of Equivalent Liquid Permeability from Gas Permeability Measurements: A Recurrent Neural Network Approach

Husam Alkinani, Abo Taleb Al-Hameedi, Shari Dunn-Norman
Paper presented at the SPE Western Regional Meeting, April 20–22, 2021
Paper Number: SPE-200779-MS
DOI: https://doi.org/10.2118/200779-MS
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Innovative Convolutional Neural Networks Applied in Dynamometer Cards Generation

Yi Peng, Ruidong Zhao, Xishun Zhang, Junfeng Shi, Shiwen Chen, Qingming Gan, Gangyao Li, Xiaoxiong Zhen, Tao Han
Paper presented at the SPE Western Regional Meeting, April 23–26, 2019
Paper Number: SPE-195264-MS
DOI: https://doi.org/10.2118/195264-MS
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A Novel Application of Artificial Neural Networks to Predict Rate of Penetration

Ramin Aliyev, Donald Paul
Paper presented at the SPE Western Regional Meeting, April 23–26, 2019
Paper Number: SPE-195268-MS
DOI: https://doi.org/10.2118/195268-MS
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Comparison of Decline Curve Analysis DCA with Recursive Neural Networks RNN for Production Forecast of Multiple Wells

J.. Sun, X.. Ma, M.. Kazi
Paper presented at the SPE Western Regional Meeting, April 22–26, 2018
Paper Number: SPE-190104-MS
DOI: https://doi.org/10.2118/190104-MS
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Developing a Smart Proxy for the SACROC Water-Flooding Numerical Reservoir Simulation Model

Faisal Alenezi, Shahab Mohaghegh
Paper presented at the SPE Western Regional Meeting, April 23–27, 2017
Paper Number: SPE-185691-MS
DOI: https://doi.org/10.2118/185691-MS
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A New Approach to Reservoir Characterization Using Deep Learning Neural Networks

M.. Korjani, Andrei Popa, Eli Grijalva, Steve Cassidy, I.. Ershaghi
Paper presented at the SPE Western Regional Meeting, May 23–26, 2016
Paper Number: SPE-180359-MS
DOI: https://doi.org/10.2118/180359-MS
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A Production Performance Prediction and Field Development Tool for Coalbed Methane Reservoirs: A Proxy Modeling Approach

Vaibhav Rajput, E. D. Basel, Turgay Ertekin
Paper presented at the SPE Western North American and Rocky Mountain Joint Meeting, April 17–18, 2014
Paper Number: SPE-169588-MS
DOI: https://doi.org/10.2118/169588-MS
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Prediction of Flow Units and Permeability Using Artificial Neural Networks

K. Aminian, S. Ameri, A. Oyerokun, B. Thomas
Paper presented at the SPE Western Regional/AAPG Pacific Section Joint Meeting, May 19–24, 2003
Paper Number: SPE-83586-MS
DOI: https://doi.org/10.2118/83586-MS
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Integrated Modeling of a Field of Wells - An Evaluation of Western Shallow Oil Zone Completion Practices in the Elk Hills Field, Kern County, California

Dave Callison, Joe Jones, Bob Shelley, Rusty Lockman
Paper presented at the SPE Western Regional/AAPG Pacific Section Joint Meeting, May 20–22, 2002
Paper Number: SPE-76724-MS
DOI: https://doi.org/10.2118/76724-MS
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Neural-Network Approach To Predict Well Performance Using Available Field Data

Zhong He, Linyu Yang, John Yen, Ching Wu
Paper presented at the SPE Western Regional Meeting, March 26–30, 2001
Paper Number: SPE-68801-MS
DOI: https://doi.org/10.2118/68801-MS
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Statistical Characterization of Metal-Contaminated Fills

Tad W. Patzek, Patrick J. Sullivan
Paper presented at the SPE Western Regional Meeting, June 25–27, 1997
Paper Number: SPE-38307-MS
DOI: https://doi.org/10.2118/38307-MS
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Neural Networks for Field-Wise Waterflood Management in Low Permeability, Fractured Oil Reservoirs

M. Nikravesh, A.R. Kovscek, A.S. Murer, T.W. Patzek
Paper presented at the SPE Western Regional Meeting, May 22–24, 1996
Paper Number: SPE-35721-MS
DOI: https://doi.org/10.2118/35721-MS
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