Shale volume estimation based on the factor analysis of well-logging data

• Autorzy: Szabó N.P.
• Języki publikacji: EN

Abstrakty

EN

In the paper factor analysis is applied to well-logging data in order to extract petrophysical information about sedimentary structures. Statistical processing of well logs used in hydrocarbon exploration results in a factor log, which correlates with shale volume of the formations. The so-called factor index is defined analogously with natural gamma ray index for describing a linear relationship between one special factor and shale content. Then a general formula valid for a longer depth interval is introduced to express a nonlinear relationship between the above quantities. The method can be considered as an independent source of shale volume estimation, which exploits information inherent in all types of well logs being sensitive to the presence of shale. For demonstration, two wellbore data sets originated from different areas of the Pannonian Basin of Central Europe are processed, after which the shale volume is computed and compared to estimations coming from independent inverse modeling.

Słowa kluczowe

EN

factor analysis; maximum likelihood; factor index; factor log; shale volume

• Wydawca: Instytut Geofizyki PAN ; Springer
• Czasopismo: Acta Geophysica
• Rocznik: 2011
• Tom: Vol. 59, no. 5
• Strony: 935--953
• Opis fizyczny: Bibliogr. 21 poz.

Twórcy

autor

Szabó N.P.

• Department of Geophysics, University of Miskolc, Miskolc, Hungary,

Bibliografia

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