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Proceedings Papers

Scalable AI Detections on Risers via Drone Capture

Steven Potiris, Marco Castillo
Paper presented at the Offshore Technology Conference, May 6–9, 2024
Paper Number: OTC-35051-MS
https://doi.org/10.4043/35051-MS
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Proceedings Papers

Drilling Automation - An Engine of Change for Risk Prevention Offshore

Brennan Goodkey, Andrew Fabo, Francois Le Buhan, James Cahalane, Sameer Bisht
Paper presented at the Offshore Technology Conference, May 6–9, 2024
Paper Number: OTC-35137-MS
https://doi.org/10.4043/35137-MS
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Proceedings Papers

Case Study: Space-Industry Robotics Technology Leveraged to Realize Significant Improvements in Offshore Safety and Sustainability

Ivana Beveridge, John Yamokoski
Paper presented at the Offshore Technology Conference, May 6–9, 2024
Paper Number: OTC-35085-MS
https://doi.org/10.4043/35085-MS
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View Paper titled, Case Study: Space-Industry Robotics Technology Leveraged to Realize Significant Improvements in Offshore Safety and Sustainability
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Proceedings Papers

A System of Connected Digital Twins with Artificial Intelligent Solutions - The Key to Resolving the Energy Trilemma

O. H. Hansen, V. Jaiswal, K. Eriksson
Paper presented at the Offshore Technology Conference, May 6–9, 2024
Paper Number: OTC-35073-MS
https://doi.org/10.4043/35073-MS
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Proceedings Papers

Harnessing Artificial Intelligence to Improve Production and Operational Efficiencies in Deepwater Subsea Tiebacks

B. Jarrell, R. D’Souza, N. Chauhan
Paper presented at the Offshore Technology Conference, May 6–9, 2024
Paper Number: OTC-35038-MS
https://doi.org/10.4043/35038-MS
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Proceedings Papers

Bayesian-Based Approach in Soil Characterization for Top-Hole Design

C. Varady, J. Tenório, E. Silva, E. Lima Junior, J. Santos, R. Dias, F. Cutrim
Paper presented at the Offshore Technology Conference, May 6–9, 2024
Paper Number: OTC-35039-MS
https://doi.org/10.4043/35039-MS
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Proceedings Papers

A Trustworthy Digital Twin for Data Driven Verification

O. H. Hansen, J. Stang, V. Jaiswal
Paper presented at the Offshore Technology Conference, May 6–9, 2024
Paper Number: OTC-35081-MS
https://doi.org/10.4043/35081-MS
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Proceedings Papers

A Spatiotemporal Machine Learning Framework for the Prediction of Metocean Conditions in the Gulf of Mexico

Edward Steele, Jiaxin Chen, Ian Ashton, Ajit Pillai, Sergio Jaramillo, Pak Leung, Luz Zarate
Paper presented at the Offshore Technology Conference, May 6–9, 2024
Paper Number: OTC-35104-MS
https://doi.org/10.4043/35104-MS
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Proceedings Papers

AI-Based Cement Bond Quality Assessment: A First Step for Optimizing P&A Design

Tiago M. Correia, I. G. Camerini, J. A. S. Hidalgo, G. R. B. Ferreira, L. P. B. de Souza, A. S. Rodrigues, J. R. R. Penatti, A. M. B. Braga, R. V. Almeida
Paper presented at the Offshore Technology Conference, May 6–9, 2024
Paper Number: OTC-35108-MS
https://doi.org/10.4043/35108-MS
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Proceedings Papers

Video Based AI Tools for Safety Enhancement on the Drill Floor

Bruno Henrique Veneziani Pianissola, Guilherme Mendes Cicarini Hott, Leonardo Mendes Nogueira, Raphael Migoto Campos de Paula
Paper presented at the Offshore Technology Conference, May 6–9, 2024
Paper Number: OTC-35129-MS
https://doi.org/10.4043/35129-MS
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Proceedings Papers

Quantification of Uncertainty in Field Layout Design of Subsea Production System

Soban Babu Beemaraj, Bilal Muhammed, Amol Joshi, Edmond Coche, Alain Chanet
Paper presented at the Offshore Technology Conference, May 6–9, 2024
Paper Number: OTC-35121-MS
https://doi.org/10.4043/35121-MS
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Proceedings Papers

Framework to an FPSO Digital Avatar

I. D. Affonso, L. T. Rodrigues, J. L. Queiroz, P. F. Vieira, L. C. Castelli, P. C. Moreira, A. O. Rocha, A. C. Silva, R. P. Zeilmann
Paper presented at the Offshore Technology Conference, May 6–9, 2024
Paper Number: OTC-35293-MS
https://doi.org/10.4043/35293-MS
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Proceedings Papers

Risk-Based Inspections Using Digital Twins for Hulls and Structures of Floating Assets

E. Stensrud, H. O. Bjørdalsbakke, G. Hamre, B. Raeissi, T. Richardsen, Are Torstensen, D. McKay
Paper presented at the Offshore Technology Conference, May 6–9, 2024
Paper Number: OTC-35308-MS
https://doi.org/10.4043/35308-MS
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Proceedings Papers

Integrating Dual-Parameter Soil Classification with CPT-Driven Machine Learning for Site Investigation of Offshore Wind

Zhichuan Li, Zijian Zhang, Xinhai Lei, Jingshui Lao, Ya Li
Paper presented at the Offshore Technology Conference, May 6–9, 2024
Paper Number: OTC-35306-MS
https://doi.org/10.4043/35306-MS
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View Paper titled, Integrating Dual-Parameter Soil Classification with CPT-Driven Machine Learning for Site Investigation of Offshore Wind
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Proceedings Papers

An Application of Machine Learning to Predicting Shear Wave Velocity of Marine Clay

V. M. Taboada, Y. Sanchez-Hernandez, Z. Zhang, D. Cruz Roque, P. Barrera Nabor, K. C. Gan
Paper presented at the Offshore Technology Conference, May 6–9, 2024
Paper Number: OTC-35325-MS
https://doi.org/10.4043/35325-MS
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Proceedings Papers

Improving Wave Forecast Using Neural Networks

B. Primo, F. Achete, F. Salvio, N. Barbosa
Paper presented at the Offshore Technology Conference, May 6–9, 2024
Paper Number: OTC-35313-MS
https://doi.org/10.4043/35313-MS
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Proceedings Papers

Accelerating Offshore Windfarm Site Characterization Using Deep Learning

H. Di, V. Simoes, T. Zhao, A. Abubakar
Paper presented at the Offshore Technology Conference, May 6–9, 2024
Paper Number: OTC-35364-MS
https://doi.org/10.4043/35364-MS
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View Paper titled, Accelerating Offshore Windfarm Site Characterization Using Deep Learning
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Proceedings Papers

Enhancing Energy Efficiency and Operability in Offshore Drilling Operations: Validation and Benefits of a Machine Learning-Based Vessel Motion Prediction Application

D. A. Chique Canache, M. Russo, R. Haakonsen, O. G. Stavland, T. Borsholm
Paper presented at the Offshore Technology Conference, May 6–9, 2024
Paper Number: OTC-35341-MS
https://doi.org/10.4043/35341-MS
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View Paper titled, Enhancing Energy Efficiency and Operability in Offshore Drilling Operations: Validation and Benefits of a Machine Learning-Based Vessel Motion Prediction Application
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Proceedings Papers

Data Integration Enabling Advanced Machine Learning ROP Predictions and its Applications

Junzhe Wang, Chengxi Li, Peng Cheng, Jiaqing Yu, Chris Cheng, Evren Ozbayoglu, Silvio Baldino
Paper presented at the Offshore Technology Conference, May 6–9, 2024
Paper Number: OTC-35395-MS
https://doi.org/10.4043/35395-MS
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Proceedings Papers

Intelligent Optimization of Ultra-Deepwater Oil Transmission Risers Using an Enhanced Graph Neural Network

Hong Zhu, Jin Yang, Rui Xue, Shenghui Dai, Shibo Zhan, Gengchen Li
Paper presented at the Offshore Technology Conference, May 6–9, 2024
Paper Number: OTC-35394-MS
https://doi.org/10.4043/35394-MS
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