Pipeline operators use a wide variety of methods to evaluate, inspect, and monitor the hundreds of thousands of miles of transmission pipelines now in operation worldwide. Such methods could be for instance Cathodic protection surveys, leak detection programs, excavations to look for pipe corrosion or protective coating failures, hydrostatic tests, and the use of in-line inspection tools that travel through the pipe. With an increase of the number of pipelines being deployed around the world, corrosion leakage accidents happening frequently, causing a serious waste of resources and also considering the huge environmental impact of such incidents, a non-destructive testing technology is important to ensure the safe operation of the pipelines and energy delivery. And that is where the Magnetic flux leakage (MFL) technique comes into play. It is one of the most popular methods of pipeline inspection. It is a non-destructive testing technique which uses magnetic sensitive sensors to detect the magnetic leakage fields caused by the presence of material losses along the pipeline walls. The positioning as well as the velocity of the tool are two very influential parameters when it comes to implementing the MFL-technique, which is why the aim of this project is to investigate the dependency of this technique on those two parameters in order to optimize the quality and efficiency of this inline inspection method.