Faciolog - Automatic Electrofacies Determination Available to Purchase

Geological facies studies have traditionally used core and cutting data as their primary source of information. Much of the same information needed to characterize facies is also contained in well log data in a continuous form. An electrofacies may be therefore defined as a set of log responses characterizing a sediment. A new product FACIOLOG has been developed which uses well log data to automatically zone a well into electrofacies. With a suitable selection of input logs and zoning algorithm parameters, a set of electrofacies is found which can generally be related to actual geological facies. Boundaries are first detected to identify thin beds, transitions, and unstable zones for special treatment. Then in the multi-dimensional space defined by the input logs, clusters of points are found which represent homogeneous beds. Techniques used include principal component and modal distribution analysis. All logs which provide information toward distinguishing and characterizing desired facies can be included in the analysis. For example the dipmeter and sonic waveform can provide significant textural information when used with conventional logs. On the other hand the LDT, NGS, and GST measurements can characterize the mineralogy more precisely. With the creation of a data bank using key wells or key intervals with core information to establish the electrofacies to geological facies correlations, automatic facies identification can be made. The results of the FACIOLOG interpretation are presented in a merged format including raw logs, dipmeter results and CPI results. In a sense FACIOLOG interpretation presents a summary of logs and log derived information as an electrical master log. Examples of various applications will be presented in this paper including:- geological facies determination-geological sequence determination-reservoir zonation-well to well correlation