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Paul Baville
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Computer-assisted stochastic multi-well correlation: Sedimentary facies versus well distality
P Baville, M Apel, S Hoth, D Knaust, C Antoine, C Carpentier, G Caumon
Marine and Petroleum Geology 135, 105371, 2022
72022
From Well Logs to Stratigraphic Layering: Automation, Uncertainties and Impact on Reservoir Behavior
P Baville, J Peisker, G Caumon
81st EAGE Conference and Exhibition 2019 2019 (1), 1-5, 2019
12019
Scenario automation in stratigraphic multi-well correlation: well logs versus interpretive rules (and why we should care)
G Caumon, P Baville, C Antoine
85th EAGE Annual Conference & Exhibition 2024, 2024
2024
Assessing and reducing stratigraphic uncertainty in the subsurface: where are we standing?
G Caumon, J Herrero, T Bodin, P Baville
EGU General Assembly, 2023
2023
Association de données éparses (failles et/ou stratigraphie): nouvelles approches de corrélation et de modélisation des incertitudes
G Caumon, F Lallier, J Edwards, G Godefroy, P Baville, C Antoine, ...
Transitions numériques en géologie de l’ingénieur, 2022
2022
A Bayesian methodology for real-time updating of well trajectory in depositional space
J Herrero, G Caumon, P Baville
21st Annual Conference of the IAMG, 2022
2022
Computer-assisted stochastic multi-well correlation: Depositional surface interpolation versus theoretical depositional profile
P Baville, M Apel, S Hoth, D Knaust, C Antoine, C Carpentier, G Caumon
21st Annual Conference of the IAMG, 2022
2022
Stratigraphic correlation uncertainty: On the impact of the sediment transport direction in computer-assisted multi-well correlation
P Baville
Université de Lorraine, 2022
2022
Assisted Chronostratigraphic Multi-Well Correlation Using the Dynamic Time Warping Algorithm
P Baville, M Apel, C Carpentier, G Caumon, S Hoth, D Knaust, C Antoine
AAPG 2020 Annual Convention & Exhibition, 2020
2020
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