Analysis of a logging data obtained while oil well drilling and feasibility study of fiber-optic sensors

Logging data obtained during oil well drilling were processed. Data were visualized and their correlation matrix was determined. The data types having the valuable correlation were identified. Linear regression model was defined and determination coefficient was estimated. The results of study showed that the data of deep, medium and shallow electromagnetic logging correlate with each other, but difference between some data types appeared significant. It was supposed that the difference in logging data may be caused by error in receiving and transmitting antennas angle turning. Feasibility of fiber-optics sensors for evaluation of resistivity of formation is shown. The article presents the brief review of the tools for measuring the formation electric resistivity while drilling using fiber-optic sensors. It is noted that using the fiber-optic sensors and correction of error of antennas turning angle may increase the drilling accuracy.