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Philippe Nivlet
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Proceedings Papers

An Intrusive Hybrid-Analytics and Modelling with Deep-Learning for Efficient and Accurate Predictions of Hole-Cleaning Process during Wellbore Drilling Simulations

Mandar Vasudeo Tabib, Philippe Nivlet, Knut Steinar, Jan Ole Skogestad, Roar Nybø, Adil Rasheed
Paper presented at the SPE EuropEC - Europe Energy Conference featured at the 84th EAGE Annual Conference & Exhibition, June 5–8, 2023
Paper Number: SPE-214369-MS
https://doi.org/10.2118/214369-MS
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View Paper titled, An Intrusive Hybrid-Analytics and Modelling with Deep-Learning for Efficient and Accurate Predictions of Hole-Cleaning Process during Wellbore Drilling Simulations
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Proceedings Papers

Towards Real-Time Bad Hole Cleaning Problem Detection Through Adaptive Deep Learning Models

Philippe Nivlet, Knut Steinar Bjorkevoll, Mandar Tabib, Jan Ole Skogestad, Bjornar Lund, Roar Nybo, Adil Rasheed
Paper presented at the Middle East Oil, Gas and Geosciences Show, February 19–21, 2023
Paper Number: SPE-213643-MS
https://doi.org/10.2118/213643-MS
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View Paper titled, Towards Real-Time Bad Hole Cleaning Problem Detection Through Adaptive Deep Learning Models
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Proceedings Papers

Refining our understanding of the subsurface geology using deep learning techniques

Salma Alsinan, Philippe Nivlet, Hamad Alghenaim
Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 28–September 1, 2022
Paper Number: SEG-2022-3734615
https://doi.org/10.1190/image2022-3734615.1
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View Paper titled, Refining our understanding of the subsurface geology using deep learning techniques
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Proceedings Papers

Integration of multiscale attributes using a semisupervised machine learning algorithm

Salma Alsinan, Philippe Nivlet, Yazeed Altowairqi, Harald Karg
Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 28–September 1, 2022
Paper Number: SEG-2022-3728196
https://doi.org/10.1190/image2022-3728196.1
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View Paper titled, Integration of multiscale attributes using a semisupervised machine learning algorithm
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Proceedings Papers

A Machine-Learning Based Workflow for Predicting Overpressure in a Stiff Dolomitic Formation

Philippe Nivlet, Yunlai Yang, Arturo Magana-Mora, Mahmoud Abughaban, Ayodeji Abegunde
Paper presented at the SPE Middle East Oil & Gas Show and Conference, November 28–December 1, 2021
Paper Number: SPE-204844-MS
https://doi.org/10.2118/204844-MS
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View Paper titled, A Machine-Learning Based Workflow for Predicting Overpressure in a Stiff Dolomitic Formation
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Proceedings Papers

Automated facies prediction in pro-glacial channel system using deep learning

Salma Alsinan, Philippe Nivlet, Hamad Alghenaim
Paper presented at the SEG/AAPG/SEPM First International Meeting for Applied Geoscience & Energy, September 26–October 1, 2021
Paper Number: SEG-2021-3586928
https://doi.org/10.1190/segam2021-3586928.1
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Proceedings Papers

Seismic monitoring for CO2 sequestration: DAS + FWI + ML

Konstantin Osypov, Vladimir Kazei, Andrey Bakulin, Philippe Nivlet
Paper presented at the SEG/AAPG/SEPM First International Meeting for Applied Geoscience & Energy, September 26–October 1, 2021
Paper Number: SEG-2021-3594099
https://doi.org/10.1190/segam2021-3594099.1
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View Paper titled, Seismic monitoring for CO2 sequestration: DAS + FWI + ML
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Proceedings Papers

Time-lapse seismic cross-equalization using temporal convolutional networks

Abdullah Alali, Robert Smith, Philippe Nivlet, Andrey Bakulin, Tariq Alkhalifah
Paper presented at the SEG/AAPG/SEPM First International Meeting for Applied Geoscience & Energy, September 26–October 1, 2021
Paper Number: SEG-2021-3583439
https://doi.org/10.1190/segam2021-3583439.1
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View Paper titled, Time-lapse seismic cross-equalization using temporal convolutional networks
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Proceedings Papers

Target-oriented time-lapse elastic full-waveform inversion assisted by deep learning with prior information

Yuanyuan Li, Andrey Bakulin, Philippe Nivlet, Robert Smith, Tariq Alkhalifah
Paper presented at the SEG/AAPG/SEPM First International Meeting for Applied Geoscience & Energy, September 26–October 1, 2021
Paper Number: SEG-2021-3581711
https://doi.org/10.1190/segam2021-3581711.1
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View Paper titled, Target-oriented time-lapse elastic full-waveform inversion assisted by deep learning with prior information
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Proceedings Papers

A semi-quantitative integration of 4D seismic with the reservoir model for monitoring of injected gas volumes in a land carbonate reservoir

Philippe Nivlet, Robert Smith, Andrey Bakulin, Rudi Lubbe
Paper presented at the SEG International Exposition and Annual Meeting, October 11–16, 2020
Paper Number: SEG-2020-3413533
https://doi.org/10.1190/segam2020-3413533.1
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View Paper titled, A semi-quantitative integration of 4D seismic with the reservoir model for monitoring of injected gas volumes in a land carbonate reservoir
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Proceedings Papers

Automated well-to-seismic tie using deep neural networks

Philippe Nivlet, Robert Smith, Nasher AlBinHassan
Paper presented at the SEG International Exposition and Annual Meeting, October 11–16, 2020
Paper Number: SEG-2020-3422495
https://doi.org/10.1190/segam2020-3422495.1
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View Paper titled, Automated well-to-seismic tie using deep neural networks
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Proceedings Papers

3D seismic facies classification using convolutional neural network and semi-supervised generative adversarial network

Mingliang Liu, Weichang Li, Michael Jervis, Philippe Nivlet
Paper presented at the SEG International Exposition and Annual Meeting, September 15–20, 2019
Paper Number: SEG-2019-3216797
https://doi.org/10.1190/segam2019-3216797.1
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View Paper titled, 3D seismic facies classification using convolutional neural network and semi-supervised generative adversarial network
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Proceedings Papers

Improving reservoir characterization through simultaneous time, angle, and frequency decomposition of seismic data

Philippe Nivlet, Hamad Alghenaim, Mohammed Dakheel
Paper presented at the 2017 SEG International Exposition and Annual Meeting, September 24–29, 2017
Paper Number: SEG-2017-17624695
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View Paper titled, Improving reservoir characterization through simultaneous time, angle, and frequency decomposition of seismic data
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Proceedings Papers

Toward an Integrated and Realistic Interpretation of Continuous 4D Seismic Data for a CO 2 EOR and Sequestration Project

Philippe Nivlet, Robert Smith, Michael A. Jervis, Andrey Bakulin
Paper presented at the SPE Middle East Oil & Gas Show and Conference, March 6–9, 2017
Paper Number: SPE-183789-MS
https://doi.org/10.2118/183789-MS
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View Paper titled, Toward an Integrated and Realistic Interpretation of Continuous 4D Seismic Data for a CO 2 EOR and Sequestration Project
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Proceedings Papers

Integration of Seismic, CSEM and Well Data in the Perdido Basin, Gulf of Mexico

Philippe Nivlet, Luis Sánchez Pérez, José Antonio Escalera Alcocer, José Trinidad Martínez Vázquez, Arturo Escamilla Herrera, Marco Vázquez García, Humberto Salazar Soto
Paper presented at the 2014 SEG Annual Meeting, October 26–31, 2014
Paper Number: SEG-2014-1497
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View Paper titled, Integration of Seismic, CSEM and Well Data in the Perdido Basin, Gulf of Mexico
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Proceedings Papers

A New Methodology to Account For Uncertainties In 4D Seismic Interpretation

Philippe Nivlet, Frédérique Fournier, Jean-Jacques Royer
Paper presented at the 2001 SEG Annual Meeting, September 9–14, 2001
Paper Number: SEG-2001-1644
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View Paper titled, A New Methodology to Account For Uncertainties In 4D Seismic Interpretation
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