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Isabelle Le Nir
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Proceedings Papers

Bridging the Gap Between Geologists and Drillers: LWD Ultrasonic Imaging Goes that Extra Mile

Nadege Forest-Bize, Arnaud Jarrot, Emmanuel Legendre, Daniel Quesada, Isabelle Le Nir, Chandramani Shrivastava, Thilo M. Brill
Paper presented at the SPWLA 63rd Annual Logging Symposium, June 11–15, 2022
Paper Number: SPWLA-2022-0101
DOI: https://doi.org/10.30632/SPWLA-2022-0101
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View Paper titled, Bridging the Gap Between Geologists and Drillers: LWD Ultrasonic Imaging Goes that Extra Mile
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Proceedings Papers

Wellbore Images Digital Fusion: Beyond Single-Sensor Physical Constraints

Simone Di Santo, Nadege Bize-Forest, Isabelle Le Nir, Carlos Maeso
Paper presented at the SPWLA 62nd Annual Logging Symposium, May 17–20, 2021
Paper Number: SPWLA-2021-0007
DOI: https://doi.org/10.30632/SPWLA-2021-0007
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View Paper titled, Wellbore Images Digital Fusion: Beyond Single-Sensor Physical Constraints
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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
DOI: https://doi.org/10.30632/SPWLA-2021-0082
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View Paper titled, Deep-Learning-Based Automated Sedimentary Geometry Characterization from Borehole Images
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Proceedings Papers

AI-Boosted Geological Facies Analysis from High-Resolution Borehole Images

Shiduo Yang, Yinyu Wang, Isabelle Le Nir, Alexis He
Paper presented at the SPWLA 61st Annual Logging Symposium, June 24–July 29, 2020
Paper Number: SPWLA-5017
DOI: https://doi.org/10.30632/SPWLA-5017
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View Paper titled, AI-Boosted Geological Facies Analysis from High-Resolution Borehole Images
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Proceedings Papers

Revisiting Porosity Analysis From Electrical Borehole Images: Integration of Advanced Texture and Porosity Analysis

Tetsushi Yamada, Daniel Quesada, Arnaud Etchecopar, Isabelle Le Nir, Jean-Pierre Delhomme, Jen Russel-Houston, Tito Satria Putra Perdana
Paper presented at the SPWLA 54th Annual Logging Symposium, June 22–26, 2013
Paper Number: SPWLA-2013-E
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View Paper titled, Revisiting Porosity Analysis From Electrical Borehole Images: Integration of Advanced Texture and Porosity Analysis
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