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Proceedings Papers

Identification of Porous Systems in Complex Carbonates Using Artificial Intelligence

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Luis Ahindel Castellanos Bassoult, Ricardo Alcantara, Arturo Perez Hernandez, Rafael Perez Vazquez, Adela Velasquez
Paper presented at the Offshore Technology Conference, May 5–8, 2025
Paper Number: OTC-35513-MS
https://doi.org/10.4043/35513-MS
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Proceedings Papers

Advanced ESP Monitoring System for Performance and Production Optimization

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A. Alkhawaher, H. Al Jishi, S. Al-Aseef
Paper presented at the Offshore Technology Conference, May 5–8, 2025
Paper Number: OTC-35532-MS
https://doi.org/10.4043/35532-MS
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Proceedings Papers

Machine and Systems for Identifying Wells Priority for Corrosion Log Utilizing Machine Learning Model

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Ahmed S. Al-Qahtani, Abdulrahman T. Mishkhes, Mohammed A. Alameer, Sammer A. Alomair, Abdulaziz A. Sultan
Paper presented at the Offshore Technology Conference, May 5–8, 2025
Paper Number: OTC-35533-MS
https://doi.org/10.4043/35533-MS
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View Paper titled, Machine and Systems for Identifying Wells Priority for Corrosion Log Utilizing Machine Learning Model
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Proceedings Papers

Underground Gas Storage Digital Twin for Depleted Reservoirs Based on Mechanistic Models and Digital Technologies

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B. Wang, T. Liu, H. Liu, M. Ouyang, G. Guo, B. Wang, Y. Pan, C. Yue, U. Gogoi, A. Ravoof, Q. Yan, X. Cai
Paper presented at the Offshore Technology Conference, May 5–8, 2025
Paper Number: OTC-35539-MS
https://doi.org/10.4043/35539-MS
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View Paper titled, Underground Gas Storage Digital Twin for Depleted Reservoirs Based on Mechanistic Models and Digital Technologies
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Proceedings Papers

Leveraging the Power of Probabilistic Modelling to Forecast Petroleum Production Using Well Performance

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F. Ghanduri, A. Akham
Paper presented at the Offshore Technology Conference, May 5–8, 2025
Paper Number: OTC-35548-MS
https://doi.org/10.4043/35548-MS
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View Paper titled, Leveraging the Power of Probabilistic Modelling to Forecast Petroleum Production Using Well Performance
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Proceedings Papers

Quantifying Operational Effectiveness of Autonomous Drilling Platforms: A Systematic Approach to Defining Measures of Performance

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R. A. Perdomo, C. A. Zapata
Paper presented at the Offshore Technology Conference, May 5–8, 2025
Paper Number: OTC-35560-MS
https://doi.org/10.4043/35560-MS
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View Paper titled, Quantifying Operational Effectiveness of Autonomous Drilling Platforms: A Systematic Approach to Defining Measures of Performance
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Proceedings Papers

Developing a Data-Driven Operation Classifier and Stand Counter Tool to Improve Drilling Operations

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J. Santos, G. S. Payette, K. Cotta, L. Vechi, M. Martuscelli, W. Rodrigues, R. Nobre, L. Florindo, C. Batista, H. Carminati, B. Machado, I. Ribeiro
Paper presented at the Offshore Technology Conference, May 5–8, 2025
Paper Number: OTC-35572-MS
https://doi.org/10.4043/35572-MS
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View Paper titled, Developing a Data-Driven Operation Classifier and Stand Counter Tool to Improve Drilling Operations
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Proceedings Papers

Point Cloud Instance Segmentation for Reducing Effort in Oil and Gas Digital Twin Construction

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P. S. Freitas, W. Gavião Neto, V. C. Nardelli, C. Porto, A. Harrison, M. Sidahmed
Paper presented at the Offshore Technology Conference, May 5–8, 2025
Paper Number: OTC-35582-MS
https://doi.org/10.4043/35582-MS
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View Paper titled, Point Cloud Instance Segmentation for Reducing Effort in Oil and Gas Digital Twin Construction
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Proceedings Papers

World First Digital Shaker Surveillance Using Computer Vision Technology on a Deepwater Rig

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C. Holt, P. Patti, S. Haiz
Paper presented at the Offshore Technology Conference, May 5–8, 2025
Paper Number: OTC-35585-MS
https://doi.org/10.4043/35585-MS
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View Paper titled, World First Digital Shaker Surveillance Using Computer Vision Technology on a Deepwater Rig
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Proceedings Papers

Predicting Gas Lift Equipment Failure with Deep Learning Techniques

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James O. Arukhe, Ammal F. Anazi
Paper presented at the Offshore Technology Conference, May 5–8, 2025
Paper Number: OTC-35605-MS
https://doi.org/10.4043/35605-MS
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View Paper titled, Predicting Gas Lift Equipment Failure with Deep Learning Techniques
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Proceedings Papers

Large Language Model-Based Workflow for Optimizing Offset Well Data Analysis and Generating Well Design Risk Profiles

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P. Kowalchuk, A. Grotte, S. Brandsberg-Dahl, V. Sabharwal, U. V. Jensen
Paper presented at the Offshore Technology Conference, May 5–8, 2025
Paper Number: OTC-35607-MS
https://doi.org/10.4043/35607-MS
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View Paper titled, Large Language Model-Based Workflow for Optimizing Offset Well Data Analysis and Generating Well Design Risk Profiles
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Proceedings Papers

Response-Based Forecasting of Vessel Motion: From Physics-Based to Data-Driven Methods

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I. A. Milne, L. C. Astfalck, M. Zed, J. Lee-Kopij
Paper presented at the Offshore Technology Conference, May 5–8, 2025
Paper Number: OTC-35614-MS
https://doi.org/10.4043/35614-MS
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View Paper titled, Response-Based Forecasting of Vessel Motion: From Physics-Based to Data-Driven Methods
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Proceedings Papers

Machine Learning Framework for Treating and Preventing Scale Formation

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James O. Arukhe, Khalid A. Ghamdi, Ammal F. Anazi
Paper presented at the Offshore Technology Conference, May 5–8, 2025
Paper Number: OTC-35618-MS
https://doi.org/10.4043/35618-MS
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View Paper titled, Machine Learning Framework for Treating and Preventing Scale Formation
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Proceedings Papers

Automatic Daily Drilling Mud Report Processing Using Generative AI to Maximize the Operational Efficiency

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Junzhe Wang, Jay Yoon, Ali Marzban, Ricky Castanos, Nicholas Fruge, Ian Holman
Paper presented at the Offshore Technology Conference, May 5–8, 2025
Paper Number: OTC-35625-MS
https://doi.org/10.4043/35625-MS
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View Paper titled, Automatic Daily Drilling Mud Report Processing Using Generative AI to Maximize the Operational Efficiency
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Proceedings Papers

Integrating Machine Learning with Pile Monitoring Data for Predicting Soil Resistance

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A. Kodsy, M. Maron, P. Hiremath, M. A. Abdul Khader, T. Cömert, R. Clavaud
Paper presented at the Offshore Technology Conference, May 5–8, 2025
Paper Number: OTC-35627-MS
https://doi.org/10.4043/35627-MS
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View Paper titled, Integrating Machine Learning with Pile Monitoring Data for Predicting Soil Resistance
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Proceedings Papers

Artificial Intelligence at the Service of Offshore Pipelaying Operations

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G. Monacchi, P. Catena, A. Esposito, G. Arcangeletti, N. Spiezia, A. Lovison
Paper presented at the Offshore Technology Conference, May 5–8, 2025
Paper Number: OTC-35635-MS
https://doi.org/10.4043/35635-MS
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View Paper titled, Artificial Intelligence at the Service of Offshore Pipelaying Operations
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Proceedings Papers

Enhancing Structural Analysis Efficiency by Replacing Complex Connections with Model Matrices

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T. Zhou, A. Pulivelil, A. Gupta
Paper presented at the Offshore Technology Conference, May 5–8, 2025
Paper Number: OTC-35645-MS
https://doi.org/10.4043/35645-MS
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View Paper titled, Enhancing Structural Analysis Efficiency by Replacing Complex Connections with Model Matrices
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Proceedings Papers

Machine Learning Applications in Vertical Offshore Wind Profile Estimation

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E. Abolfazli, R. B. Smith, N. T. Signorelli
Paper presented at the Offshore Technology Conference, May 5–8, 2025
Paper Number: OTC-35666-MS
https://doi.org/10.4043/35666-MS
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Proceedings Papers

Developing a Machine Learning Application for Well Production Forecasting in Frequently Changing Operating Conditions

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K. Gaurav
Paper presented at the Offshore Technology Conference, May 5–8, 2025
Paper Number: OTC-35680-MS
https://doi.org/10.4043/35680-MS
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View Paper titled, Developing a Machine Learning Application for Well Production Forecasting in Frequently Changing Operating Conditions
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Proceedings Papers

O&M 5.0 - Enhancing O&M Practices Through Technology and Innovation

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B. C. Porto, M. E. S. Ramis, V. J. B. T. Filho, G. L. L. Silva, V. L. F. Matos, P. C. M. Moreira, J. E. Ramos
Paper presented at the Offshore Technology Conference, May 5–8, 2025
Paper Number: OTC-35695-MS
https://doi.org/10.4043/35695-MS
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