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Proceedings Papers

Boosting Visualization of Image Logs in 3D Towards Automated Well-Centric Interpretation

Eya Ghamgui, Chandramani Shrivastava, Martin Carles, Josselin Kherroubi
Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 17–19, 2024
Paper Number: URTEC-4054007-MS
https://doi.org/10.15530/urtec-2024-4054007
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Proceedings Papers

AI Guided Interpretation: Automated Quality Assessment for Depth-Matched Images

Kristina Prokopetc, Alexis He, Salma Benslimane, Josselin Kherroubi, Nadege Bize-Forest
Paper presented at the SPWLA 64th Annual Logging Symposium, June 10–14, 2023
Paper Number: SPWLA-2023-0087
https://doi.org/10.30632/SPWLA-2023-0087
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View Paper titled, AI Guided Interpretation: Automated Quality Assessment for Depth-Matched Images
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Proceedings Papers

Machine Learning-Enabled Joint Interpretation of Dipole Sonic and Borehole Image Data

Gurami Keretchashvili, Ting Lei, Pontus Loviken, Josselin Kherroubi, Lin Liang, Adam Donald, Romain Prioul
Paper presented at the SPWLA 64th Annual Logging Symposium, June 10–14, 2023
Paper Number: SPWLA-2023-0089
https://doi.org/10.30632/SPWLA-2023-0089
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View Paper titled, Machine Learning-Enabled Joint Interpretation of Dipole Sonic and Borehole Image Data
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Proceedings Papers

Novel Deployment of Noninvasive Sensing Technology Improves Wellhead Installation

Haw Keat Lim, Bruce Hogg, Alberto Gil, Yong Wee Lee, Onur Ozen, Pontus Loviken, Josselin Kherroubi
Paper presented at the SPE Annual Technical Conference and Exhibition, October 3–5, 2022
Paper Number: SPE-210296-MS
https://doi.org/10.2118/210296-MS
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Proceedings Papers

Sonic Data Classification Using Supervised Machine-Learning Approach

Ting Lei, Daniel Al Choboq, Josselin Kherroubi, Lin Liang, Romain Prioul
Paper presented at the SPWLA 63rd Annual Logging Symposium, June 11–15, 2022
Paper Number: SPWLA-2022-0105
https://doi.org/10.30632/SPWLA-2022-0105
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Proceedings Papers

Automated Corrosion Analysis with Prior Domain Knowledge-Informed Neural Networks

Salma Benslimane, Josselin Kherroubi, Kamaljeet Singh, Jean-Luc Le Calvez, Thomas Berard, Mikhail Lemarenko
Paper presented at the SPWLA 63rd Annual Logging Symposium, June 11–15, 2022
Paper Number: SPWLA-2022-0097
https://doi.org/10.30632/SPWLA-2022-0097
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Proceedings Papers

Best Image: Deep Learning for Saliency Estimation Using Expert Rankings

Pontus Loviken, Nadege Bize-Forest, Daniel Quesada, Fatma Mahfoudh, Josselin Kherroubi
Paper presented at the SPWLA 63rd Annual Logging Symposium, June 11–15, 2022
Paper Number: SPWLA-2022-0098
https://doi.org/10.30632/SPWLA-2022-0098
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Proceedings Papers

Event Detection in Drilling Remarks Using Natural Language Processing

Zheng Zhang, Tianjun Hou, Josselin Kherroubi, Daria Khvostichenko
Paper presented at the IADC/SPE International Drilling Conference and Exhibition, March 8–10, 2022
Paper Number: SPE-208779-MS
https://doi.org/10.2118/208779-MS
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Journal Articles

Deep-Learning-Based Automated Sedimentary Geometry Characterization From Borehole Images

Marie Lefranc, Zikri Bayraktar, Morten Kristensen, Hedi Driss, Isabelle Le Nir, Philippe Marza, Josselin Kherroubi
Journal: Petrophysics - The SPWLA Journal of Formation Evaluation and Reservoir Description
Publisher: Society of Petrophysicists and Well-Log Analysts
Petrophysics 62 (06): 636–650.
Paper Number: SPWLA-2021-v62n6a4
https://doi.org/10.30632/PJV62N6-2021a4
Published: 01 December 2021
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Proceedings Papers

Deep-Learning-Based Automated Sedimentary Geometry Characterization from Borehole Images

Marie Lefranc, Zikri Bayraktar, Morten Kristensen, Hedi Driss, Isabelle Le Nir, Philippe Marza, Josselin Kherroubi
Paper presented at the SPWLA 62nd Annual Logging Symposium, May 17–20, 2021
Paper Number: SPWLA-2021-0082
https://doi.org/10.30632/SPWLA-2021-0082
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Proceedings Papers

Automation of well integrity operations: Machine learning framework for diagnosis of ultrasonic waveforms

Josselin Kherroubi, Florian Laborde, Mikhail Lemarenk
Paper presented at the SEG International Exposition and Annual Meeting, October 11–16, 2020
Paper Number: SEG-2020-3413175
https://doi.org/10.1190/segam2020-3413175.1
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Proceedings Papers

Automated identification and quantification of rock types from drill cuttings

Youssef Tamaazousti, Matthias François, Josselin Kherroubi
Paper presented at the SEG International Exposition and Annual Meeting, October 11–16, 2020
Paper Number: SEG-2020-3426273
https://doi.org/10.1190/segam2020-3426273.1
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Proceedings Papers

A New Slim Full Bore Electrical Micro-Imaging Tool Conveyed through the Drill String and Bit for Geological and Reservoir Characterization of Unconventional Reservoirs

Sachin Bammi, Peter Wells, Mark Fredette, Julien Toniolo, Abhishek Mallick, Henry Nguyen, Elia Haddad, Robert Laronga, Josselin Kherroubi
Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, August 1–3, 2016
Paper Number: URTEC-2430509-MS
https://doi.org/10.15530/URTEC-2016-2430509
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View Paper titled, A New Slim Full Bore Electrical Micro-Imaging Tool Conveyed through the Drill String and Bit for Geological and Reservoir Characterization of Unconventional Reservoirs
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Proceedings Papers

Lamination Analysis from Electrical Borehole Images: A Quantitative Workflow

Josselin Kherroubi, Carlos Maeso, Yinyu Wang, Helena Gamero-Diaz
Paper presented at the SPWLA 57th Annual Logging Symposium, June 25–29, 2016
Paper Number: SPWLA-2016-BBBB
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View Paper titled, Lamination Analysis from Electrical Borehole Images: A Quantitative Workflow
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Proceedings Papers

Fracture Aperture Calculations From Wireline and Logging While Drilling Imaging Tools

Carlos Maeso, Michel Ponziani, Isabelle Le Nir, Josselin Kherroubi, Daniel Quesada, Isabelle Dubourg, Stefan Luthi, Evert Slob, Kelvin Fisher, Les Honeyman, Randy Brown, Olfa Zenned
Paper presented at the SPE Annual Technical Conference and Exhibition, October 27–29, 2014
Paper Number: SPE-170848-MS
https://doi.org/10.2118/170848-MS
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View Paper titled, Fracture Aperture Calculations From Wireline and Logging While Drilling Imaging Tools
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Proceedings Papers

A Novel Approach Based on Dielectric Dispersion Measurements to Evaluate the Quality of Complex Shaly-sand Reservoirs

Marco Pirrone, Mei Han, Nicola Bona, Massimiliano Borghi, Maria Teresa Galli, Ferdinanda Pampuri, Ollivier Faivre, Mehdi Hizem, Josselin Kherroubi, Laurent Mossé
Paper presented at the SPE Annual Technical Conference and Exhibition, October 30–November 2, 2011
Paper Number: SPE-147245-MS
https://doi.org/10.2118/147245-MS
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View Paper titled, A Novel Approach Based on Dielectric Dispersion Measurements to Evaluate the Quality of Complex Shaly-sand Reservoirs
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