Evaluation of Algorithms Based on Fuzzy Logic Applied to Processing of Open Hole Log Data.

Abstract

Today it is very common to use intelligent computational techniques to solve  problems of characterization, pattern recognition and decision making. Log interpretation is used to discover rock and fluid properties in order to find possible hydrocarbon zones in underground geological formations, using information and knowledge systems lith Database, an expert systems, in out where fuzzy logic offers many tools to achieve its goals.
This document focuses on the implementation and evaluation of algorithms based on fuzzy logic  applied to information and knowledge systems of well profiling to conduct the characterization and identification zones of interest (hydrocarbon zones) and processing open hole log data. The final product is a  file  developed in a Matlab® environment. The profile values of gamma ray, porosity, resistivity and spontaneous potential mustbe loaded and the program   obtains the zones of interest of each open hole, base d on the values of the named parameters.