Abstract:

The traditional technology of exploration and recognition oil shale mainly rely on geological survey on the field, core and sample testing and analyzing. On the basis of analysis and research on geological survey on the field, the description of core, log and test data analysis, and comprehensive research, the paper proposed a qualificative and quantitative technology of recognizing oil shale effectively using well-logging data, and applied them in the Songliao basin. Properties of oil shale is high resistivity, high gamma, high sonic and low density in the well longing data. Resistivity data is the best about the correlation between oil yield of oil shale and well logging parameters. The one member linear regression relationship between oil yield of oil shale and the well logging data is better than that of two members and three members. Not only oil yield but also total organic carbon can be calculated using ΔlgR technology. The calculated results show that the deviation between calculated oil yield and testing oil yield is relatively small using the linear relationship between oil yield of oil shale and the resistivity well-logging data and ΔlgR technology.

Key words: well-logging data, oil shale, identification technology, oil yield, regression analysis