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Artificial intelligence
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Proceedings Papers
Precursory Detection of Casing Deformation and Induced Seismicity in Unconventional Reservoirs, via Real-Time Surface Pressure Data Analytics
Available to Purchase
Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 9–11, 2025
Paper Number: URTEC-4266758-MS
Proceedings Papers
Synthetic Data-Driven Hybrid Deep Learning Methodology for Predicting Remaining Useful Life of Sensors in Downhole Drilling Equipment
Available to Purchase
Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 9–11, 2025
Paper Number: URTEC-4207580-MS
Proceedings Papers
Cross-Basin Analysis of Production Drivers: Insight from Machine Learning Applied to 100,000 Unconventional Wells
Available to Purchase
Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 9–11, 2025
Paper Number: URTEC-4214380-MS
Proceedings Papers
Machine-Learning Driven Prediction of Geological Marker Signatures
Available to Purchase
Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 9–11, 2025
Paper Number: URTEC-4234773-MS
Proceedings Papers
A Sequential Machine Learning Framework for Individual Well Forecasting in the Bakken
Available to PurchaseAhmed G. Almetwally, Alisha Meether, Christian Gronister, Taylor Goy, Amir Kianinejad, Sebastien Matringe
Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 9–11, 2025
Paper Number: URTEC-4242604-MS
Proceedings Papers
Detecting Resistivity Tool Malfunctions in Coiled Tubing Drilling Using Generative Artificial Intelligence
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Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 9–11, 2025
Paper Number: URTEC-4247193-MS
Proceedings Papers
Machine Learning Methods for Handling Parameter Space Sampling Bias in Unconventional Well Performance Prediction
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Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 9–11, 2025
Paper Number: URTEC-4249754-MS
Proceedings Papers
Enhancing Lithology Classification Through a Deep Learning Framework
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Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 9–11, 2025
Paper Number: URTEC-4252996-MS
Proceedings Papers
Quantifying Spacing Degradation in Northern Delaware Basin Using Machine Learning and Subsurface Properties
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Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 9–11, 2025
Paper Number: URTEC-4254307-MS
Proceedings Papers
Evaluating DSU Orientation in the Bakken Basin: Integrating Machine Learning and Physics-Based Models for Optimal Development
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Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 9–11, 2025
Paper Number: URTEC-4257170-MS
Proceedings Papers
High-Resolution DFN Modeling via Seismic Attribute Integration in the Sichuan Basin for Completion Optimization
Available to PurchaseXuefeng Yang, Shengxian Zhao, Dongchen Liu, Deliang Zhang, Lieyan Cao, Joseph Leines Artieda, Chuxi Liu, Wei Yu, Jijun Miao
Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 9–11, 2025
Paper Number: URTEC-4257601-MS
Proceedings Papers
Large Language Model Powered Well Productivity
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Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 9–11, 2025
Paper Number: URTEC-4259056-MS
Proceedings Papers
Advancing Formation Tops Fingerprinting: Expanding Applications and Insights from the DJ to the Williston Basin
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Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 9–11, 2025
Paper Number: URTEC-4259296-MS
Proceedings Papers
Integrating Deep Learning and Seismic Data for Mudstone Characterization and SAGD Development in Heterogeneous Reservoirs
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Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 9–11, 2025
Paper Number: URTEC-4261039-MS
Proceedings Papers
Unlocking Lithium Potential from Oilfield Brines: A Deep Learning-Driven Resource Assessment
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Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 9–11, 2025
Paper Number: URTEC-4261542-MS
Proceedings Papers
Using Machine Learning to Forecast Longer Duration Inventory Across Rockies Unconventional Plays
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Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 9–11, 2025
Paper Number: URTEC-4263701-MS
Proceedings Papers
Can Transfer Learning be Used to Forecast Production in Frontier Basins? A Case Study from the Powder River Basin
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Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 9–11, 2025
Paper Number: URTEC-4264880-MS
Proceedings Papers
PHREEQC-Informed Machine Learning for Predicting Scaling Indices in Permian Basin Produced Waters
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Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 9–11, 2025
Paper Number: URTEC-4265270-MS
Proceedings Papers
Harnessing AI and Computer Vision for Efficient Geothermal Field Exploration and Prospect Evaluation
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Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 9–11, 2025
Paper Number: URTEC-4265623-MS
Proceedings Papers
Permian Delaware Basin Productivity and Spacing Analysis and Technically Recoverable Resource Assessment
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Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 9–11, 2025
Paper Number: URTEC-4265714-MS
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