System and method for real-time monitoring and estimation of intelligent well system production performance

A method of online real-time estimation of production performance properties includes receiving real-time field data taken by downhole sensors, and estimating formation properties and production performance properties by applying the field data to a two or three-dimensional numerical transient therm...

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Bibliographic Details
Main Authors Oladele Bello, Stanley T Denney
Format Patent
LanguageEnglish
Published 05.05.2021
Subjects
CALCULATING
COMPUTING
CONTROL OR REGULATING SYSTEMS IN GENERAL
CONTROLLING
COUNTING
DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES
EARTH DRILLING
EARTH DRILLING, e.g. DEEP DRILLING
FIXED CONSTRUCTIONS
FUNCTIONAL ELEMENTS OF SUCH SYSTEMS
MINING
MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS ORELEMENTS
OBTAINING OIL, GAS, WATER, SOLUBLE OR MELTABLE MATERIALS OR ASLURRY OF MINERALS FROM WELLS
PHYSICS
REGULATING
SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR
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Summary:A method of online real-time estimation of production performance properties includes receiving real-time field data taken by downhole sensors, and estimating formation properties and production performance properties by applying the field data to a two or three-dimensional numerical transient thermal multiphase reservoir flow model, and automatically calibrating the model. Calibrating includes: selecting calibration parameters corresponding to values of selected model parameters, and applying the calibration parameters to the model to generate predicted properties that correlate with the selected model parameters, the predicted properties including flow rates and/or formation properties; automatically calculating a difference between the predicted properties and measured properties that correlate with the selected model parameters, and calculating an objective function value; performing an inversion that includes iteratively adjusting the selected model parameters until the objective function reaches a selected minimum value; and automatically updating the model by applying the selected model parameters associated with the minimum value.
Bibliography:Application Number: GB20180000018