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Proceedings Papers

Knowledge Augmented Intelligence Using Large Language Models for Advanced Data Analytics

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Ming-Jung Seow, Leren Qian
Paper presented at the SPE Eastern Regional Meeting, October 8–10, 2024
Paper Number: SPE-221375-MS
https://doi.org/10.2118/221375-MS
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View Paper titled, Knowledge Augmented Intelligence Using Large Language Models for Advanced Data Analytics
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Proceedings Papers

Realtime Application of Early Kick and Loss Detection (EKLD) for the Entire Drilling Operation

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Shang Zhang, Robello Samuel
Paper presented at the SPE Eastern Regional Meeting, October 8–10, 2024
Paper Number: SPE-221371-MS
https://doi.org/10.2118/221371-MS
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View Paper titled, Realtime Application of Early Kick and Loss Detection (EKLD) for the Entire Drilling Operation
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Proceedings Papers

Novel Artificial Lift Technology Improves Marginal Field Economics-A Case Study

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S. DuBois, D. Aldridge, G. Sommese
Paper presented at the SPE Eastern Regional Meeting, October 8–10, 2024
Paper Number: SPE-221362-MS
https://doi.org/10.2118/221362-MS
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View Paper titled, Novel Artificial Lift Technology Improves Marginal Field Economics-A Case Study
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Proceedings Papers

Integrated Geochemical Modeling for CO 2 Sequestration in the San Juan Basin, New Mexico

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Paa Kwesi Ntaako Boison, William Ampomah, Jason Simmons, Dung Bui
Paper presented at the SPE Eastern Regional Meeting, October 8–10, 2024
Paper Number: SPE-221374-MS
https://doi.org/10.2118/221374-MS
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View Paper titled, Integrated Geochemical Modeling for CO 2 Sequestration in the San Juan Basin, New Mexico
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Proceedings Papers

Unique Production Conditions of Unconventional Wells in the Appalachian Basin; A Multi-Dimensional Assessment on Recovery

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T. Rozploch, K. Ayers, H. Jacot, K. Eshbaugh
Paper presented at the SPE Eastern Regional Meeting, October 3–5, 2023
Paper Number: SPE-215931-MS
https://doi.org/10.2118/215931-MS
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View Paper titled, Unique Production Conditions of Unconventional Wells in the Appalachian Basin; A Multi-Dimensional Assessment on Recovery
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Proceedings Papers

Managing Uncertainty: Making Better Decisions In Gas Production Estimation Using Bayesian Approach

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Akash Sharma, Deep Joshi, Nitin Chaudary
Paper presented at the SPE Eastern Regional Meeting, October 3–5, 2023
Paper Number: SPE-215917-MS
https://doi.org/10.2118/215917-MS
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View Paper titled, Managing Uncertainty: Making Better Decisions In Gas Production Estimation Using Bayesian Approach
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Proceedings Papers

Predicting Shale Production Performance Through Machine Learning: The Development and Application of the Sweet Spot Quality Index

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Ahmed Algarhy, Ahmed Farid Ibrahim, Mohamed A. Gabry, Amr Gharieb Ali
Paper presented at the SPE Eastern Regional Meeting, October 3–5, 2023
Paper Number: SPE-215911-MS
https://doi.org/10.2118/215911-MS
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View Paper titled, Predicting Shale Production Performance Through Machine Learning: The Development and Application of the Sweet Spot Quality Index
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Proceedings Papers

Hydraulic Fracturing Fluid Optimization Using Machine Learning Approach: A Case Study of Marcellus Shale

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A. Johar, E. Fathi, M. F. Adenan, F. Belyadi
Paper presented at the SPE Eastern Regional Meeting, October 3–5, 2023
Paper Number: SPE-215920-MS
https://doi.org/10.2118/215920-MS
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View Paper titled, Hydraulic Fracturing Fluid Optimization Using Machine Learning Approach: A Case Study of Marcellus Shale
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Proceedings Papers

VAE-Frac: A Comprehensive Machine Learning-based Workflow for Fracture Characterization and Prediction in Unconventional Reservoirs

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Ruxin Zhang, Tian Liu, Hongquan Chen
Paper presented at the SPE Eastern Regional Meeting, October 3–5, 2023
Paper Number: SPE-215927-MS
https://doi.org/10.2118/215927-MS
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View Paper titled, VAE-Frac: A Comprehensive Machine Learning-based Workflow for Fracture Characterization and Prediction in Unconventional Reservoirs
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Proceedings Papers

An Advanced Open-Source Software for the Design of CO 2 Capture, Transport, and Storage Infrastructure

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Zhiwei Ma, Bailian Chen, Rajesh J. Pawar
Paper presented at the SPE Eastern Regional Meeting, October 18–20, 2022
Paper Number: SPE-211876-MS
https://doi.org/10.2118/211876-MS
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View Paper titled, An Advanced Open-Source Software for the Design of CO 2 Capture, Transport, and Storage Infrastructure
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Proceedings Papers

A Non-Conventional Well Technology Approach to Improve Hydrocarbon Recovery from a Mature Field: Brown Field Case Study

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Khalid Elwegaa, Oladoyin Kolawole, Saleh Ahmed, Olusegun Stanley Tomomewo
Paper presented at the SPE Eastern Regional Meeting, October 18–20, 2022
Paper Number: SPE-211881-MS
https://doi.org/10.2118/211881-MS
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View Paper titled, A Non-Conventional Well Technology Approach to Improve Hydrocarbon Recovery from a Mature Field: Brown Field Case Study
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Proceedings Papers

Cement Sheath Fatigue Failure Prediction by Support Vector Machine Based Model

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Danzhu Zheng, Evren M Ozbayoglu, Stefan Z Miska, Yaxin Liu
Paper presented at the SPE Eastern Regional Meeting, October 18–20, 2022
Paper Number: SPE-211880-MS
https://doi.org/10.2118/211880-MS
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View Paper titled, Cement Sheath Fatigue Failure Prediction by Support Vector Machine Based Model
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Proceedings Papers

Application of Machine Learning to Predict the Organic Shale Sweet-Spot Quality Index

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Ahmed Algarhy, Ahmed Farid Ibrahim
Paper presented at the SPE Eastern Regional Meeting, October 18–20, 2022
Paper Number: SPE-211889-MS
https://doi.org/10.2118/211889-MS
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View Paper titled, Application of Machine Learning to Predict the Organic Shale Sweet-Spot Quality Index
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Proceedings Papers

How Artificial Intelligence can Guide Marcellus Development

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Dillon Kessy, Jose Ignacio Sierra Castro, Jose Chirinos, Giorgio De Paola, Maria Jose Lopez Perez-Valiente
Paper presented at the SPE Eastern Regional Meeting, November 2–3, 2021
Paper Number: SPE-201786-MS
https://doi.org/10.2118/201786-MS
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View Paper titled, How Artificial Intelligence can Guide Marcellus Development
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Proceedings Papers

Paying it Forward: How an Emerging Unconventional Play can Hit the Ground Running

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George J Koperna, Brett L Murray, David E Riestenberg, Steven M Carpenter
Paper presented at the SPE Eastern Regional Meeting, November 2–3, 2021
Paper Number: SPE-201808-MS
https://doi.org/10.2118/201808-MS
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View Paper titled, Paying it Forward: How an Emerging Unconventional Play can Hit the Ground Running
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Proceedings Papers

Application of Descriptive Data Analytics: How to Properly Select the Best Ranges of Viscosity and Flow Rate for Optimal Hole Cleaning?

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Husam H. Alkinani, Abo Taleb Al-Hameedi, Shari Dunn-Norman, Mustafa A. Al-Alwani, David Lian, Waleed H. Al-Bazzaz
Paper presented at the SPE Eastern Regional Meeting, October 15–17, 2019
Paper Number: SPE-196597-MS
https://doi.org/10.2118/196597-MS
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View Paper titled, Application of Descriptive Data Analytics: How to Properly Select the Best Ranges of Viscosity and Flow Rate for Optimal Hole Cleaning?
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Proceedings Papers

Controlling Factors of Shale Gas Production: What can Artificial Intelligence Tell Us?

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Qin He, Jonathan Bruno, Zhi Zhong
Paper presented at the SPE Eastern Regional Meeting, October 15–17, 2019
Paper Number: SPE-196577-MS
https://doi.org/10.2118/196577-MS
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View Paper titled, Controlling Factors of Shale Gas Production: What can Artificial Intelligence Tell Us?
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Proceedings Papers

Improved Analysis of Stimulated Reservoir Volumes in Unconventional Reservoirs Using Supervised Learning Techniques

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Saurabh Tandon
Paper presented at the SPE Eastern Regional Meeting, October 15–17, 2019
Paper Number: SPE-196613-MS
https://doi.org/10.2118/196613-MS
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View Paper titled, Improved Analysis of Stimulated Reservoir Volumes in Unconventional Reservoirs Using Supervised Learning Techniques
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Proceedings Papers

Data-Driven Deconvolution Using Echo-State Networks Enhances Production Data Analysis in Unconventional Reservoirs

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Yuewei Pan, Lichi Deng, John Lee
Paper presented at the SPE Eastern Regional Meeting, October 15–17, 2019
Paper Number: SPE-196598-MS
https://doi.org/10.2118/196598-MS
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View Paper titled, Data-Driven Deconvolution Using Echo-State Networks Enhances Production Data Analysis in Unconventional Reservoirs
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Proceedings Papers

Using Supervised Machine Learning Algorithms to Predict Pressure Drop in Narrow Annulus

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Kriti Singh, Stefan Miska, Evren Ozbayoglu, Batur Alp Aydin
Paper presented at the SPE/AAPG Eastern Regional Meeting, October 7–11, 2018
Paper Number: SPE-191794-18ERM-MS
https://doi.org/10.2118/191794-18ERM-MS
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View Paper titled, Using Supervised Machine Learning Algorithms to Predict Pressure Drop in Narrow Annulus
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