DETERMINING RESERVOIR FLUID PHASE ENVELOPE FROM DOWNHOLE FLUID ANALYSIS DATA USING PHYSICS-INFORMED MACHINE LEARNING TECHNIQUES

Methods and apparatus provide for determining a reservoir fluid phase envelope from downhole fluid analysis data using machine learning techniques.

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Bibliographic Details
Main Authors Molla, Shahnawaz Hossain, Mostowfi, Farshid
Format Patent
LanguageEnglish
Published 17.11.2022
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Abstract Methods and apparatus provide for determining a reservoir fluid phase envelope from downhole fluid analysis data using machine learning techniques.
AbstractList Methods and apparatus provide for determining a reservoir fluid phase envelope from downhole fluid analysis data using machine learning techniques.
Author Molla, Shahnawaz Hossain
Mostowfi, Farshid
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Snippet Methods and apparatus provide for determining a reservoir fluid phase envelope from downhole fluid analysis data using machine learning techniques.
SourceID epo
SourceType Open Access Repository
SubjectTerms CALCULATING
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
COMPUTING
COUNTING
EARTH DRILLING
EARTH DRILLING, e.g. DEEP DRILLING
FIXED CONSTRUCTIONS
MINING
OBTAINING OIL, GAS, WATER, SOLUBLE OR MELTABLE MATERIALS OR ASLURRY OF MINERALS FROM WELLS
PHYSICS
Title DETERMINING RESERVOIR FLUID PHASE ENVELOPE FROM DOWNHOLE FLUID ANALYSIS DATA USING PHYSICS-INFORMED MACHINE LEARNING TECHNIQUES
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