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Conditioning geostatistical models to two-phase flow production data

Posted on:2000-01-20Degree:Ph.DType:Dissertation
University:The University of TulsaCandidate:Wu, ZhanFull Text:PDF
GTID:1460390014466333Subject:Engineering
Abstract/Summary:
A discrete adjoint method for generating sensitivity coefficients related to two-phase flow production data is derived. The procedure is applied to calculate the sensitivity of wellbore pressure and water-oil-ratio to reservoir simulator gridblock permeabilities and porosities. Using these sensitivity coefficients, an efficient form of the Gauss-Newton algorithm is applied to generate maximum a posteriori estimates and realizations of the rock property fields conditioned to a prior geostatistical model and pressure and/or water-oil ratio data obtained under two-phase (oil and water) flow conditions.
Keywords/Search Tags:Two-phase, Flow
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