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Proceedings Papers

Unsupervised Facies Pattern Recognition of Brazilian Pre-Salt Carbonates Borehole Images

Laura Lima Angelo dos Santos, Nadege Bize-Forest, Giovanna da Fraga Carneiro, Adna Grazielly Paz de Vasconcelos, Patrick Pereira Machado
Paper presented at the SPWLA 63rd Annual Logging Symposium, June 11–15, 2022
Paper Number: SPWLA-2022-0129
DOI: https://doi.org/10.30632/SPWLA-2022-0129
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View Paper titled, Unsupervised Facies Pattern Recognition of Brazilian Pre-Salt Carbonates Borehole Images
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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
DOI: https://doi.org/10.30632/SPWLA-2022-0098
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View Paper titled, Best Image: Deep Learning for Saliency Estimation Using Expert Rankings
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Proceedings Papers

Field-Testing a Through-the-Bit High-Definition Electrical Borehole Imager for Oil-Based Mud

Richard Bloemenkamp, Elia Haddad, Nadege Bize-Forest, Laetitia Comparon, Peter Schlicht
Paper presented at the SPWLA 62nd Annual Logging Symposium, May 17–20, 2021
Paper Number: SPWLA-2021-0009
DOI: https://doi.org/10.30632/SPWLA-2021-0009
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View Paper titled, Field-Testing a Through-the-Bit High-Definition Electrical Borehole Imager for Oil-Based Mud
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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

A New Pseudo-Velocity-Based Method To Mitigate LWD Image Interpretation Risks

Tianhua Zhang, Shiduo Yang, Chandramani Shrivastava, Adrian A, Nadege Bize-Forest
Paper presented at the SPWLA 62nd Annual Logging Symposium, May 17–20, 2021
Paper Number: SPWLA-2021-0048
DOI: https://doi.org/10.30632/SPWLA-2021-0048
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View Paper titled, A New Pseudo-Velocity-Based Method To Mitigate LWD Image Interpretation Risks
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Proceedings Papers

Using Machine-Learning for Depositional Facies Prediction in a Complex Carbonate Reservoir

Nadege Bize-Forest, Laura Lima, Victoria Baines, Austin Boyd, Frances Abbots, Andrew Barnett
Paper presented at the SPWLA 59th Annual Logging Symposium, June 2–6, 2018
Paper Number: SPWLA-2018-NNNN
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View Paper titled, Using Machine-Learning for Depositional Facies Prediction in a Complex Carbonate Reservoir
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