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Proceedings Papers

Automating Prediction of the Formation Tops and Lithology Changes in Real-Time While Drilling Using Artificial Neural Networks

Ahmed Abdulhamid Mahmoud, Salaheldin Elkatatny, Abdulazeez Abdulraheem
Paper presented at the Offshore Technology Conference, May 6–9, 2024
Paper Number: OTC-35042-MS
https://doi.org/10.4043/35042-MS
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View Paper titled, Automating Prediction of the Formation Tops and Lithology Changes in Real-Time While Drilling Using Artificial Neural Networks
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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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View Paper titled, AI-Based Cement Bond Quality Assessment: A First Step for Optimizing P&A Design
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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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View Paper titled, An Application of Machine Learning to Predicting Shear Wave Velocity of Marine Clay
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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

A Hybrid Physics Augmented Predictive Model for Friction Pressure Loss in Hydraulic Fracturing Process Based on Experimental and Field Data

Abdulrahman Abdulwarith, Mohamed Ammar, Sarkis Kakadjian, Nathan McLaughlin, Birol Dindoruk
Paper presented at the Offshore Technology Conference, May 6–9, 2024
Paper Number: OTC-35310-MS
https://doi.org/10.4043/35310-MS
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View Paper titled, A Hybrid Physics Augmented Predictive Model for Friction Pressure Loss in Hydraulic Fracturing Process Based on Experimental and Field Data
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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

Physics-Informed Neural Networks for Gas Hydrate Plugging Risk Assessment Using Intrinsic Kinetics and Flowloop Data

Seth Dale, Doug Turner, Salar Afra, Adriana Teixeira, Leandro Saraiva Valim, Carolyn Koh, Dinesh Mehta
Paper presented at the Offshore Technology Conference, May 6–9, 2024
Paper Number: OTC-35362-MS
https://doi.org/10.4043/35362-MS
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View Paper titled, Physics-Informed Neural Networks for Gas Hydrate Plugging Risk Assessment Using Intrinsic Kinetics and Flowloop Data
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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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View Paper titled, Intelligent Optimization of Ultra-Deepwater Oil Transmission Risers Using an Enhanced Graph Neural Network
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Proceedings Papers

Generative Humane-Machine Interaction in Oil & Gas

Sergio Gonzalez
Paper presented at the Offshore Technology Conference, May 6–9, 2024
Paper Number: OTC-35168-MS
https://doi.org/10.4043/35168-MS
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View Paper titled, Generative Humane-Machine Interaction in Oil & Gas
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Proceedings Papers

Application of Neural Operator Technique for Rapid Forecast of CO 2 Pressure and Saturation Distribution

Yusuf Falola, Pradyumna Singh Rathore, Geetha Gopakumar Nair, Julianna Toms
Paper presented at the Offshore Technology Conference, May 6–9, 2024
Paper Number: OTC-35230-MS
https://doi.org/10.4043/35230-MS
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View Paper titled, Application of Neural Operator Technique for Rapid Forecast of CO 2 Pressure and Saturation Distribution
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Proceedings Papers

Reducing Time-Lapse Seismic Data Acquisition Cost with Deep Learning

W. Hu, S. Phan, C. Li, A. Abubakar
Paper presented at the Offshore Technology Conference, May 6–9, 2024
Paper Number: OTC-35401-MS
https://doi.org/10.4043/35401-MS
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View Paper titled, Reducing Time-Lapse Seismic Data Acquisition Cost with Deep Learning
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Proceedings Papers

Integration of Geoscience Data – The TNW Offshore Wind Farm Case Study

G. Sauvin, M. Vanneste, M. Vardy, R. T. Klinkvort, C. F. Forsberg, D. A. Kort
Paper presented at the Offshore Technology Conference, May 6–9, 2024
Paper Number: OTC-35476-MS
https://doi.org/10.4043/35476-MS
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Proceedings Papers

Slug Forecasting and Production Optimization Using Deep Learning

Dinesh Dabholkar, Devina Rawat, Sunil Manikani, Doney Abraham
Paper presented at the Offshore Technology Conference, May 1–4, 2023
Paper Number: OTC-32300-MS
https://doi.org/10.4043/32300-MS
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Proceedings Papers

Robotic Fish Enabled Offshore Pipeline Inspection

Xuqing Wu, Tushar Sood, Zheng Chen, Jiefu Chen
Paper presented at the Offshore Technology Conference, May 1–4, 2023
Paper Number: OTC-32427-MS
https://doi.org/10.4043/32427-MS
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Proceedings Papers

Time Series Data Analysis with Recurrent Neural Network for Early Kick Detection

Junzhe Wang, Evren Ozbayoglu, Silvio Baldino, Yaxin Liu, Danzhu Zheng
Paper presented at the Offshore Technology Conference, May 1–4, 2023
Paper Number: OTC-32428-MS
https://doi.org/10.4043/32428-MS
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View Paper titled, Time Series Data Analysis with Recurrent Neural Network for Early Kick Detection
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Proceedings Papers

Hybrid Approach Using Physical Insights and Data Science for Early Stuck Detection

Tatsuya Kaneko, Tomoya Inoue, Yujin Nakagawa, Ryota Wada, Keisuke Miyoshi, Shungo Abe, Kouhei Kuroda, Kazuhiro Fujita
Paper presented at the Offshore Technology Conference, May 1–4, 2023
Paper Number: OTC-32532-MS
https://doi.org/10.4043/32532-MS
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Proceedings Papers

A Machine Learning Approach to Improve the Reliability of Aging Tendon Tension Monitoring Systems

Jimmy Keong Tark Ng, Soma Sekhar Maroju, Suvabrata Das
Paper presented at the Offshore Technology Conference, May 1–4, 2023
Paper Number: OTC-32211-MS
https://doi.org/10.4043/32211-MS
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Proceedings Papers

Predict Drilling Equipment Failure Using AI-Based Sound Waive Analysis Methodology

Saif Abdulmohsen Alsaif, Tameem Saud Alothman
Paper presented at the Offshore Technology Conference, May 2–5, 2022
Paper Number: OTC-31828-MS
https://doi.org/10.4043/31828-MS
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View Paper titled, Predict Drilling Equipment Failure Using AI-Based Sound Waive Analysis Methodology
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Proceedings Papers

Robust Models to Predict Coal Wettability for CO 2 Sequestration Applications

Ahmed Farid Ibrahim
Paper presented at the Offshore Technology Conference, May 2–5, 2022
Paper Number: OTC-31776-MS
https://doi.org/10.4043/31776-MS
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View Paper titled, Robust Models to Predict Coal Wettability for CO 2 Sequestration Applications
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