FLUID TYPE IDENTIFICATION FROM DOWNHOLE FLUID ANALYSIS USING MACHINE LEARNING TECHNIQUES

Embodiments present a method for fluid type identification from a downhole fluid analysis that uses machine learning techniques that are trained and derived from a computer model using pressure, temperature and downhole optical characteristics of sampled fluid. The method comprises collecting optica...

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Main Authors MOSTOWFI, Farshid, GISOLF, Adriaan, NIGHSWANDER, John, PFEIFFER, Thomas, HSU, Kai, FUKAGAWA, Shunsuke, MOLLA, Shahnawaz Hossain
Format Patent
LanguageEnglish
French
German
Published 08.11.2023
Subjects
EARTH DRILLING
EARTH DRILLING, e.g. DEEP DRILLING
FIXED CONSTRUCTIONS
INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIRCHEMICAL OR PHYSICAL PROPERTIES
MEASURING
MINING
OBTAINING OIL, GAS, WATER, SOLUBLE OR MELTABLE MATERIALS OR ASLURRY OF MINERALS FROM WELLS
PHYSICS
TESTING
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Summary:Embodiments present a method for fluid type identification from a downhole fluid analysis that uses machine learning techniques that are trained and derived from a computer model using pressure, temperature and downhole optical characteristics of sampled fluid. The method comprises collecting optical spectral data for a downhole fluid; providing the collected optical spectral data to a trained classification module; processing the collected optical spectral data with the trained classification module configured to determine a fluid type classification; and determining a fluid type based upon the classification based upon the trained classification module.
Bibliography:Application Number: EP20200878322