Intelligent system for on the spot and on line oil drilling operations.

摘要

This thesis presents a novel intelligent system for oil drilling operations. The system analyzes the data collected from the oil well logging process on the spot. This means that the data collected from the soils does not have to be sent to the geologists' labs. Instead, the information is processed instantaneously on the spot by a fuzzy inference system (FIS). This system increases the efficiency of oil companies.; The system was developed using fuzzy logic approaches. Fuzzy logic technology has the capability of dealing with non linear complex processes, which is very useful when analysing oil drilling operations.; This intelligent system provides two different types of drilling operations. Scenario 1 is composed of conventional equipment plus the intelligent system. Scenario 2 involves the technology used for the logging while drilling operations plus the intelligent system. Scenario 1 can be divided into sub-scenarios. Scenario 1A analyzes the collected data from the logging process off-line and on the spot. In scenario 1B, the analyzing process can be done while the logging process is being completed (Analyzing While Logging-AWL-). Scenario 2 analyzes the Well Logging data in real time and on the spot. All of these scenarios considerably decrease the time and costs of drilling operations.; The system was tested using an interface developed in Matlab. The system responded positively to all the situations explored during the testing stage.