Evolution of kerogen to bitumen, oil, and gas systematically affects the above properties and it is possible to obtain a qualitative assessment of the state of maturation of a known source bed. In this thesis logs and core data from wells in two separate oil provinces are used to test the methods of predicting total organic carbon content from log data. Two approaches are followed. The first method treats the organic matter as a rock constituent and calculates the log responses as a function of organic content. This approach suffers because of the uncertainties of the physical properties of the organic matter.
Bivariate regression helps to illustrate the efficacy of the models.
In the second method, multivariate equations based on linear combinations of individual correlation coefficients are obtained. The importance of combining several logs which are organic content predictors is demonstrated. These equations can be used to predict total organic carbon content using only log data, in different parts of an oil province.