ABSTRACT

At the Xth Well logging Symposium of SPWLA a paper was presented about a new well logging evaluation method elaborated in Hungary for the evaluation of hydrocarbon-bearing sandstones of high silt /and clay/ content. In the present paper on hand of this new method some principal questions related to the determination of water saturation, hydrocarbon saturation, grain size distribution, porosity and permeability of reservoir rocks of a general composition are investigated. In addition problems and possibilities connected with the determination of the electric resistivity of fully water saturated reservoir rocks are discussed. Moreover the process serving for the determination of constant quantities figuring in the evaluation functions is outlined. In a given geological structure results attained by the practical application of the method in 10 boreholes are presented, as compared with results obtained by some foreign methods. Finally outlines will be given as to the computerized application of the new method.

Keywords:
machine learning, Upstream Oil & Gas, calculation, well logging, gamma activity, Artificial Intelligence, clay content, log analysis, geological structure, silt
Subjects:
Formation Evaluation & Management, Open hole/cased hole log analysis
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1970. Society of Petrophysicists & Well Log Analysts
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