Schlumberger Technology Corporation

Philippe Marza

Josselin Kherroubi

Michael David Prange

Isabelle Le Nir

Zikri Bayraktar

Marie LeFranc

Morten Kristensen

Embodiments of the present disclosure are directed towards systems and methods for automated stratigraphy interpretation from borehole images. Embodiments may include constructing, using at least one processor, a training set of synthetic images corresponding to a borehole, wherein the training set includes one or more of synthetic images, real images, and modified images. Embodiments may further include automatically classifying, using the at least one processor, the training set into one or more individual sedimentary geometries using one or machine learning techniques. Embodiments may also include automatically classifying, using the at least one processor, the training set into one or more priors for depositional environments.

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Montpellier, France

Philippe Marza