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Proceedings Papers

Descriptive Data Analytics to Investigate Stimulation and Completion Trends in the United States: How Proppant and Water Utilization have Changed over Time?

Mustafa A. Al-Alwani, Larry K. Britt, Shari Dunn-Norman, Husam H. Alkinani, Abo Taleb Al-Hameedi, Ebrahem Salem, Atheer M. Al-Attar, Waleed H. Al-Bazzaz
Paper presented at the SPE Liquids-Rich Basins Conference - North America, November 7–8, 2019
Paper Number: SPE-197084-MS
https://doi.org/10.2118/197084-MS
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View Paper titled, Descriptive Data Analytics to Investigate Stimulation and Completion Trends in the United States: How Proppant and Water Utilization have Changed over Time?
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Proceedings Papers

Modeling Terminal Decline Rate in Flow Regime Transition using Alternating Conditional Expectation Non-Linear Regression Methods

Akash Sharma, Brandon Guttery
Paper presented at the SPE Liquids-Rich Basins Conference - North America, November 7–8, 2019
Paper Number: SPE-197104-MS
https://doi.org/10.2118/197104-MS
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View Paper titled, Modeling Terminal Decline Rate in Flow Regime Transition using Alternating Conditional Expectation Non-Linear Regression Methods
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Proceedings Papers

Event Recognition on Time Series Frac Data using Machine Learning – Part II

Alberto Ramirez, Jessica Iriarte
Paper presented at the SPE Liquids-Rich Basins Conference - North America, November 7–8, 2019
Paper Number: SPE-197093-MS
https://doi.org/10.2118/197093-MS
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View Paper titled, Event Recognition on Time Series Frac Data using Machine Learning – Part II
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Proceedings Papers

Quantifying the Impact of Fracturing Chemicals on Production Performance Using Machine Learning

Ayush Rastogi, Akash Sharma
Paper presented at the SPE Liquids-Rich Basins Conference - North America, November 7–8, 2019
Paper Number: SPE-197095-MS
https://doi.org/10.2118/197095-MS
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View Paper titled, Quantifying the Impact of Fracturing Chemicals on Production Performance Using Machine Learning
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Proceedings Papers

Thru-Tubing Workover Motor Load Measurements and Analysis

Miles Landry, Caleb Mac McEntire
Paper presented at the SPE Liquids-Rich Basins Conference - North America, September 5–6, 2018
Paper Number: SPE-191791-MS
https://doi.org/10.2118/191791-MS
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Proceedings Papers

Characterization of Fracture-Driven Interference and the Application of Machine Learning to Improve Operational Efficiency

Rob Klenner, Guoxiang Liu, Hayley Stephenson, Glen Murrell, Naresh Iyer, Nurali Virani, Anveshi Charuvaka
Paper presented at the SPE Liquids-Rich Basins Conference - North America, September 5–6, 2018
Paper Number: SPE-191789-MS
https://doi.org/10.2118/191789-MS
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Proceedings Papers

Optimizing Drilling Parameters Using a Random Forests ROP Model in the Permian Basin

Ehsaan Nasir, Caleb Rickabaugh
Paper presented at the SPE Liquids-Rich Basins Conference - North America, September 5–6, 2018
Paper Number: SPE-191796-MS
https://doi.org/10.2118/191796-MS
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View Paper titled, Optimizing Drilling Parameters Using a Random Forests ROP Model in the Permian Basin
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Proceedings Papers

Adopting Physical Models in Real-Time Drilling Application: Wellbore Hydraulics

Mojtaba Shahri, Bahri Kutlu, Taylor Thetford, Brian Nelson, Timothy Wilson, Michael Behounek, Adrian Ambrus, Pradeepkumar Ashok
Paper presented at the SPE Liquids-Rich Basins Conference - North America, September 5–6, 2018
Paper Number: SPE-191797-MS
https://doi.org/10.2118/191797-MS
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View Paper titled, Adopting Physical Models in Real-Time Drilling Application: Wellbore Hydraulics
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Proceedings Papers

A Statistical Engine to Model Well Operations and Evaluate Asset Performance

Supriya Gupta, Abhishek Sharma, Ekansh Verma, Aria Abubakar, Sidd Gupta
Paper presented at the SPE Liquids-Rich Basins Conference - North America, September 5–6, 2018
Paper Number: SPE-191777-MS
https://doi.org/10.2118/191777-MS
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Proceedings Papers

Horizontal Shale Well EUR Determination Integrating Geology, Machine Learning, Pattern Recognition and MultiVariate Statistics Focused on the Permian Basin

Abhishek Gaurav
Paper presented at the SPE Liquids-Rich Basins Conference - North America, September 13–14, 2017
Paper Number: SPE-187494-MS
https://doi.org/10.2118/187494-MS
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View Paper titled, Horizontal Shale Well EUR Determination Integrating Geology, Machine Learning, Pattern Recognition and MultiVariate Statistics Focused on the Permian Basin
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