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.
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| creator | MOSTOWFI, Farshid GISOLF, Adriaan NIGHSWANDER, John PFEIFFER, Thomas HSU, Kai FUKAGAWA, Shunsuke MOLLA, Shahnawaz Hossain |
| description | 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. |
| format | Patent |
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| language | eng ; fre ; ger |
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| 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 |
| title | FLUID TYPE IDENTIFICATION FROM DOWNHOLE FLUID ANALYSIS USING MACHINE LEARNING TECHNIQUES |
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