AUTOMATED SIMILARITY MEASUREMENT AND PROPERTY ESTIMATION

A method includes receiving an input dataset representing one or more physical characteristics of a volume, generating an embedding by reducing a dimensionality associated with the input dataset using a trained machine learning model, comparing the embedding with a plurality of other embeddings gene...

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Bibliographic Details
Main Authors VHANAMANE, Ranjit Ramchandra, SHEYH HUSEIN, Sami, MANIAR, Hiren, ABUBAKAR, Aria
Format Patent
LanguageEnglish
French
German
Published 29.05.2024
Subjects
CALCULATING
COMPUTING
COUNTING
DETECTING MASSES OR OBJECTS
EARTH DRILLING
EARTH DRILLING, e.g. DEEP DRILLING
ELECTRIC DIGITAL DATA PROCESSING
FIXED CONSTRUCTIONS
GEOPHYSICS
GRAVITATIONAL MEASUREMENTS
MEASURING
MINING
OBTAINING OIL, GAS, WATER, SOLUBLE OR MELTABLE MATERIALS OR ASLURRY OF MINERALS FROM WELLS
PHYSICS
TESTING
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Summary:A method includes receiving an input dataset representing one or more physical characteristics of a volume, generating an embedding by reducing a dimensionality associated with the input dataset using a trained machine learning model, comparing the embedding with a plurality of other embeddings generated by reducing a dimensionality of other datasets representing one or more physical characteristics of other volumes, selecting one or more of the other embeddings of the one or more other datasets based at least in part on comparing, and estimating one or more attributes of the volume based at least in part on the one or more other datasets corresponding to the selected one or more of the other embeddings.
Bibliography:Application Number: EP20210808975