Experimental investigation on blockage predictions in gas pipelines using the pressure pulse wave method

Abstract

Blockages in pipelines due to solid sediments are common problems in oil and gas transportation. Rapid detection of the location and rate of accumulating blockages can significantly relieve potential risks. In this work, a pipeline blockage detection method is developed based on pressure pulse wave that is suitable for different blockage types. This method includes arranging three high-frequency dynamic pressure sensors along the pipeline for blockage characterization by collectively utilizing the information in the reflected and transmitted waves. A set of calculations for the blockage position, length, and severity for different blockage types including long partial, single-point partial, and multipoint partial blockages is developed. The results show that the average prediction errors for the location, length, and severity range from 0.16 to 0.34%, 3.19–3.62%, and 1.10–32.3%, respectively, for the three blockage types. Our work indicates the advantages of the pressure pulse wave method in terms of the prediction accuracy, response speed, operation complexity, and economic efficiency. Moreover, the pressure pulse wave technology developed in this study will be helpful as an early warning for pipeline blockages while ensuring their low-cost and safe operation.