FLUID TYPE IDENTIFICATION FROM DOWNHOLE FLUID ANALYSIS USING MACHINE LEARNING TECHNIQUES

• Main Authors: MOSTOWFI, Farshid, GISOLF, Adriaan, NIGHSWANDER, John, PFEIFFER, Thomas, HSU, Kai, FUKAGAWA, Shunsuke, MOLLA, Shahnawaz Hossain
• Format: Patent
• Language: English; 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

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.