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Determination of the continuity in oil reservoirs using principal component analysis of biomarker data

Pasadakis Nikos

Πλήρης Εγγραφή

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Περίληψη

In order to develop an optimum production scheme in an oil reservoir it is very important to determine accurately the internal geometry (continuity and compartmentalisation). Usually geophysical logging methods are used for this purpose, which are expensive and time consuming. Additional information can be derived on the basis of differences in physical properties and/or in chemical composition within oil samples produced from separate compartments in a reservoir. The major problem is that oil samples coming from the same formation exhibit minor physico-chemical differences. Hence, it is difficult to develop a reliable discriminating algorithm. This paper presents a novel analytical approach, which enables accurate discrimination between the oil samples coming from different wells in a layered reservoir, which exhibit minute differences in physical and in chemical properties. The method uses the biomarkers data obtained from the GC–MS m/z 191 fragmentogram of the saturated fraction of the oils. Principal Component Analysis (PCA) method was applied to discriminate oils into groups. The classification scheme obtained using the proposed analytical method was found to be in agreement with the available geological and geophysical data, which describes the internal geometry of the reservoir under study.

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