RAPID AND REALISTIC THREE-DIMENSIONAL STRATIGRAPHIC MODEL GENERATOR CONDITIONED ON REFERENCE WELL LOG DATA

Platforms and methods for generating 3D stratigraphic models are proved wherein the platform utilizes a Motion and Content decomposed GAN that is trained using actual data or generated data. The generation of the stratigraphic models can also include using Wasserstein training loss for improved mode...

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Bibliographic Details
Main Authors LEFRANC, Marie Emeline Cecile, ETCHEBES, Marie, ZHU, Lingchen, TILKE, Peter
Format Patent
LanguageEnglish
Published 03.10.2024
Subjects
CALCULATING
COMPUTING
COUNTING
PHYSICS
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Summary:Platforms and methods for generating 3D stratigraphic models are proved wherein the platform utilizes a Motion and Content decomposed GAN that is trained using actual data or generated data. The generation of the stratigraphic models can also include using Wasserstein training loss for improved model diversity.
Bibliography:Application Number: US202218693042