Conditioning Geostatistical Models to Two-Phase Production Data

被引：62

作者：

Wu, Zhan ^{[1
]}

Reynolds, A. C. ^{[1
]}

Oliver, D. S. ^{[1
]}

机构：

[1] Univ Tulsa, Tulsa, OK 74104 USA

来源：

SPE JOURNAL | 1999年 / 4卷 / 02期

关键词：

D O I：

10.2118/56855-PA

中图分类号：

TE [石油、天然气工业];

学科分类号：

0820 ;

摘要：

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.

引用

页码：142 / 155

页数：14

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