HYDROCARBON PREDICTION BY INTEGRATED INFORMATION FROM NONSEISMIC GEOPHYSICAL-GEOCHEMICAL PROSPECTION

As tectonic reservoirs have been discovered one after another,the focal points of exploration have been changed to various subtle traps which will be found with greater difficulty and lower success rate.The study on the direct detection of hydrocarbon then becomes a popular topic in current hydrocarbon exploration domain.The method is to detect the microcosmic effects and anomalies of hydrocarbon by means of geophysical and geochemical prospecting.Taking Rangzijing area in the south of the Songliao Basin as an experimental area,the practical surface measurement is done by the geochemical prospecting of acidolysis hydrocarbon,ΔC,soil thermoluminescence,Rn detection and soil electrical conductivity based on the study of sequence stratigraphy,reservoirs and fault sealing as well as the summary of predecessor's prediction experience on surface geophysical geochemical prospecting for hydrocarbon.By use of BP and SOM two neural network methods,hydrocarbon prediction is made from integrated information of geophysical geochemical prospecting,and good effects are obtained.