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1-20 of 158
Keywords: Artificial Intelligence
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Proceedings Papers
Numerical Analysis of Torque on Bit on Torsional Vibrations in Horizontal Well Drilling
Available to PurchasePublisher: Society of Petroleum Engineers (SPE)
Paper presented at the SPE Oklahoma City Oil and Gas Symposium, April 14–18, 2025
Paper Number: SPE-224324-MS
... dynamics torsional vibration mathematics of computing directional drilling geology modeling & simulation geologist drilling operation artificial intelligence machine learning drilling string drill string rpm drillstring design journal conference and exhibition engineering oscillation...
Proceedings Papers
Data-Driven Optimization for Oilfield Operations
Available to PurchasePublisher: Society of Petroleum Engineers (SPE)
Paper presented at the SPE Oklahoma City Oil and Gas Symposium, April 14–18, 2025
Paper Number: SPE-224336-MS
..., these models demonstrate the potential of combining reinforcement learning methods and predictive analytics in oil and gas to optimize real-time inputs and resource utilization in this high-risk environment. artificial intelligence efficiency machine learning reinforcement learning action item...
Proceedings Papers
Ensemble-Based Reservoir Simulation with 4D Seismic for Assessment of Infill Opportunities: Case Study in a Deepwater Gulf of Mexico Field
Available to PurchasePublisher: Society of Petroleum Engineers (SPE)
Paper presented at the SPE Oklahoma City Oil and Gas Symposium, April 14–18, 2025
Paper Number: SPE-224340-MS
... bottomhole locations where estimates of the initial well PI is driven by seismic attributes. history matching sedimentary rock geologist rock type artificial intelligence modeling workflow sedimentary geology ensemble history match quality ensemble modeling workflow multiplier bottomhole...
Proceedings Papers
Predicting Oilwell Cement Properties Downhole Using Existing Databases, Modified Neural Networks and Other Machine Learning Approaches
Available to PurchasePublisher: Society of Petroleum Engineers (SPE)
Paper presented at the SPE Oklahoma City Oil and Gas Symposium, April 14–18, 2025
Paper Number: SPE-224345-MS
... parameters such as the acoustic data can be highly effective at predicting the overall long-term integrity of the cement sheath. deep learning casing and cementing artificial intelligence cement cement chemistry cement formulation mechanical property machine learning dataset operation neural...
Proceedings Papers
Pioneering Digital Transformation of Product and Service Delivery Workflow: Global Application with Local Customized Solution for Energy Industry
Available to PurchasePublisher: Society of Petroleum Engineers (SPE)
Paper presented at the SPE Oklahoma City Oil and Gas Symposium, April 14–18, 2025
Paper Number: SPE-224347-MS
... a flexible infrastructure to seamlessly integrate emerging AI technologies and propel continued innovation. sustainability social responsibility application sustainable development artificial intelligence climate change project management planning & scheduling data quality knowledge...
Proceedings Papers
Development of Well Placement Workflow for Infill Drilling
Available to PurchasePublisher: Society of Petroleum Engineers (SPE)
Paper presented at the SPE Oklahoma City Oil and Gas Symposium, April 14–18, 2025
Paper Number: SPE-224357-MS
... geology reservoir simulation rock type deep learning mudrock geologist production enhancement complex reservoir hydraulic fracturing unconventional resource economics oil shale well intervention shale gas shale oil artificial intelligence interference reservoir geomechanics machine...
Proceedings Papers
Experimental Setup for Analyzing Torsional Vibrations in Casing Strings: Initial Findings and the Path Forward
Available to PurchasePublisher: Society of Petroleum Engineers (SPE)
Paper presented at the SPE Oklahoma City Oil and Gas Symposium, April 14–18, 2025
Paper Number: SPE-224360-MS
... setting casing rpm equation rotational speed geologist drilling operation artificial intelligence mnm casing string rotation speed frequency torque torsional vibration sensor teodoriu time interval resistance installation Introduction Torsional vibrations in tubulars have been...
Proceedings Papers
Optimizing Corrosion Inhibitor Package to Mitigate Metal Corrosion and Formation Damage: A Machine-Learning Advisory Model
Available to PurchasePublisher: Society of Petroleum Engineers (SPE)
Paper presented at the SPE Oklahoma City Oil and Gas Symposium, April 14–18, 2025
Paper Number: SPE-224361-MS
... corrosion subsurface corrosion sandstone pipeline corrosion concentration materials and corrosion corrosion inhibition corrosion management well integrity rock type artificial intelligence ml model corrosion inhibitor procedure formulation laboratory experiment lb ft 2 cr and pi metal...
Proceedings Papers
Developing a Machine Learning Application for Integrated Production Forecasting in Complex Reservoirs with Frequently Changing Operating Conditions
Available to PurchasePublisher: Society of Petroleum Engineers (SPE)
Paper presented at the SPE Oklahoma City Oil and Gas Symposium, April 14–18, 2025
Paper Number: SPE-224362-MS
... to identify critical hyperparameters that improve the accuracy of predictions. Ultimately, achieving forecasting precision through artificial intelligence depends on integrating domain knowledge, incorporating existing study outcomes, and leveraging advanced computational power with functional algorithms...
Proceedings Papers
Determination of the Impact of Drill String Material on Drilling Vibration Through Simulation
Available to PurchasePublisher: Society of Petroleum Engineers (SPE)
Paper presented at the SPE Oklahoma City Oil and Gas Symposium, April 14–18, 2025
Paper Number: SPE-224363-MS
... and reliability. These findings provide insights into selecting optimal drill string materials to mitigate drilling vibrations and enhance overall drilling performance. drillstring dynamics geologist modeling & simulation artificial intelligence geology ssi value vibration drilling operation...
Proceedings Papers
Optimizing Depth Selection for Formation Pressure Testing in Complex Reservoirs – A Machine Learning Approach
Available to PurchasePublisher: Society of Petroleum Engineers (SPE)
Paper presented at the SPE Oklahoma City Oil and Gas Symposium, April 14–18, 2025
Paper Number: SPE-224365-MS
... evaluation workflows. Additionally, the model is designed to be easily retrained and adapted to new fields, allowing for continuous enhancement based on field-specific data. geology artificial intelligence geologist well logging depth selection log analysis machine learning selection invalid...
Proceedings Papers
Automatic Depth Alignment of High-Resolution Magnetic Flux Leakage Data to Detect Corrosion in Downhole Casing Using Machine Learning
Available to PurchasePublisher: Society of Petroleum Engineers (SPE)
Paper presented at the SPE Oklahoma City Oil and Gas Symposium, April 14–18, 2025
Paper Number: SPE-224378-MS
.... This enables higher accuracy and consistency in assessing corrosion progression in well casing over time. riser corrosion artificial intelligence subsurface corrosion reservoir surveillance pipeline corrosion production control well integrity production logging production monitoring flux leakage...
Proceedings Papers
Artificial Lift Methods Selection for New Fractured Horizontal Wells in the Wolfcamp a Formation, Delaware Basin, New Mexico
Available to PurchasePublisher: Society of Petroleum Engineers (SPE)
Paper presented at the SPE Oklahoma City Oil and Gas Symposium, April 14–18, 2025
Paper Number: SPE-224386-MS
... directional drilling reservoir geomechanics horizontal well performance relationship inflow performance relationship artificial intelligence geological subdiscipline ipr curve fractured horizontal well Introduction and Literature Review Artificial Lift (AL) methods selection for unconventional...
Proceedings Papers
Automated Cutter Damage Classification for PDC Bits in Delaware Vertical Applications
Available to PurchasePublisher: Society of Petroleum Engineers (SPE)
Paper presented at the SPE Oklahoma City Oil and Gas Symposium, April 14–18, 2025
Paper Number: SPE-224387-MS
... for dynamic drilling parameter adjustments that further improve efficiency, cost reduction, and bit performance longevity. deep learning clastic rock bit design petroleum geology geological subdiscipline machine learning sedimentary rock neural network artificial intelligence economic geology...
Proceedings Papers
Friction Reducer Advisor: A Real-Time Machine Learning Approach
Available to PurchasePublisher: Society of Petroleum Engineers (SPE)
Paper presented at the SPE Oklahoma City Oil and Gas Symposium, April 14–18, 2025
Paper Number: SPE-224388-MS
... downhole intervention machine learning fr concentration accuracy reduction well intervention concentration proppant concentration production enhancement artificial intelligence recommendation paper different well algorithm operation approach fr concentration class delta pressure...
Proceedings Papers
Employing Neural Networks in Reservoir Simulation for Hydraulic-Fractured Unconventional Wells and a Case Study in STACK Area
Available to PurchasePublisher: Society of Petroleum Engineers (SPE)
Paper presented at the SPE Oklahoma City Oil and Gas Symposium, April 14–18, 2025
Paper Number: SPE-224393-MS
... for operational efficacy. geology rock type accuracy simulator dataset history matching neural network geochemistry geochemical characterization production data geologist reservoir simulation artificial intelligence fracture conductivity geological subdiscipline fracture geometry employing...
Proceedings Papers
Hydraulic Fracturing Pressure Prediction with Deep Learning Approach
Available to PurchaseXie Yonggang, Ma Qian, Jia Zengqiang, Jin Ting, Yang Shengfang, Dong Yifan, Li Norah, Wang Johnson, Cao Kevin, Li Haoyan, Luo Yin, Fu Yunlong, Zhang Jie, Wang Guan, Bukovac Tomislav, Ugarte Esteban
Publisher: Society of Petroleum Engineers (SPE)
Paper presented at the SPE Oklahoma City Oil and Gas Symposium, April 14–18, 2025
Paper Number: SPE-224331-MS
... augment human decision making in managing treating pressure. This approach serves fast and reliable reference and helpful for staff training. sedimentary rock geologist geology neural network artificial intelligence treatment data pressure trend hyperparameter test performance rock type...
Proceedings Papers
Accelerating Pressure Transmission Test Analysis to Quantify Shale-Fluid Interactions
Available to PurchasePublisher: Society of Petroleum Engineers (SPE)
Paper presented at the SPE Oklahoma City Oil and Gas Symposium, April 14–18, 2025
Paper Number: SPE-224356-MS
... consumption. This procedure offers a promising solution for conserving time and resources traditionally consumed by PTT. Keywords Pressure transmission test, Shale, Shale-fluid interactions, Analytical solution, Adaptive procedure geology geologist mudrock artificial intelligence sedimentary...
Proceedings Papers
Sensitivity-Based Framework Developed for Predicting CO 2 Storage Performance
Available to PurchasePublisher: Society of Petroleum Engineers (SPE)
Paper presented at the SPE Oklahoma City Oil and Gas Symposium, April 14–18, 2025
Paper Number: SPE-224354-MS
.... The findings contribute to enhancing storage security and minimizing leakage risks, offering valuable insights for future site development and monitoring strategies. geologist clastic rock reservoir simulation gas injection method artificial intelligence flow in porous media fluid dynamics...
Proceedings Papers
Data-Driven Solutions and Artificial Intelligence in the Energy Sector: Leveraging Open GHGRP Data for Emissions Forecasting for U.S. Petroleum and Natural Gas Assets
Available to PurchasePublisher: Society of Petroleum Engineers (SPE)
Paper presented at the SPE Oklahoma City Oil and Gas Symposium, April 14–18, 2025
Paper Number: SPE-224384-MS
... on emissions from onshore and offshore petroleum production operations. By integrating artificial intelligence (AI) techniques, the research aims to develop a robust emissions prediction model to accelerate decarbonization efforts while enhancing sustainability in the energy sector. Classical and Advanced AI...
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