A CASE STUDY TO DEMONSTRATE THE USE OF SCAL DATA IN FIELD DEVELOPMENT PLANNING OF A MIDDLE EAST CARBONATE RESERVOIR

摘要

The objective of this paper is to demonstrate the impact of core analyses on the reservoir simulation model of a Middle East carbonate.An integrated SCAL study has been performed on reservoir cores from a carbonate reservoir.A comprehensive suite of laboratory measurements have been undertaken building on experience from previous studies,incorporating rigorous reservoir condition tests where appropriate. The laboratory methods used are described and major results presented.To better understand the variability of the data,the results have been explored by means of principal components and marker analysis,using a multivariate exploratory analysis tool called Sirius.Principal Component Analysis(PCA) is a multivariate technique that finds orthogonal linear combinations in a data matrix,with the additional purpose of minimizing the residual variance in a least-square sense.The results from this exercise have given valuable information about the uncertainty involved and detected hidden information within the experimental data matrix. The data derived from this study were used to enhance and validate the static and dynamic models developed.Static measurements were used to assess the uncertainty in the core and log measurements,and thus improve the confidence in the static model. Dynamic measurements were applied to validate the relative permeability used and the expected predictions in recoveries from water injection.This has resulted in an overall improvement in the continuous development of the reservoir field development model and predictions with reduced uncertainties.