Abstract

Quantification of the relation between geological process and geoscientifice data is the most important aspect of any geophysical study. Most of the time, intensive cost and extensive time consuming geophysical studies carried out without prior feasibility study conclude with ineffective results. Since all the geophysical studies are observation based and data intensive therefore a detail analysis of all types of data linked with the study is required. The ultimate objective of any geophysical study is to delineate a reservoir body which is interesting from hydrocarbon point of view. The problem becomes much easier if the area is having sufficient number of well log data and other geological information. Since the log data is recorded at very high resolution therefore its ability to identify different geological process is much more than any of the recorded data. But at the same time, during drilling process log data gets affected by borehole rugosity, invasion, mud cake formation, salinity, temperature & pressure etc. Sometimes the logs could be entirely missing or not usable due to bad hole conditions. The analysis made on such unreliable data may lead to wrong identification & estimation of litho fluid type. To overcome these situations various type of empirical relations, methods and model have been formulated. These techniques will help to re-estimate the various responses of subsurface for geological interpretation.