Estimating Total Organic Carbon Content and Source Rock Evaluation,applying log R and neural network methods -ahwaz and marun oil fields , Swof iran

well logging is a useful method for sedimentary basin and source rock evaluation. Source rocks have special responses in porosity and resistivity logs which can make them distinguishable from surrounding rocks. Therefore well logging data and diagrams can be used as indicators of determination source rock potential . characterizations of kazhdomi , pabdeh and gurpi source rocks have been determined by geochemical analysis in some iranian oil field but no TOC (total organic carbon ) zonation and interpretation have been carried out in these formations yet. several studies have confirmed petroleum potential of kazhdomi formation in dezful embayment but pabdeh formation more signifacant and gurpi less significant have been always the topics of iranian petroleum geologist discussions in order to find out whether these formations have the potential of generating oil or not and what are the organic matter properties of these formations. the purpose of this paper is calculating TOC values of pabdeh formation in ahwaz and marun oil fields through using combiantion of sonic and resistivity logs and also neural network method. then these TOC values were compared with TOC from geochemical analysis.

کلیدواژه های Estimating Total Organic Carbon Content and Source Rock Evaluation,applying log R and neural network methods -ahwaz and marun oil fields , Swof iran:

∆logR ، neural network ، rock -eval ، TOC zonation ، pabdeh