Geohazard management of pipelines in areas prone to ground movement is an integrity threat that pipeline operators must address. The management process involves three key elements: (1) the identification of a developing hazard, (2) the evaluation of the nature of the threat and, (3) deciding on the most appropriate actions that are necessary to address the threat and protect the pipeline. Many available methods can assist with the three parts of this process. However, the availability of multiple approaches can make it difficult to know what the most effective method is in terms of providing accurate data, making reliable predictions of pipeline integrity, or accurately monitoring future changes in integrity. Any deficiencies in the process can be wasted effort and cost at best, but could also result in failure, with adverse consequences for safety and the environment as well as severe financial penalties. In this paper, we showcase what we consider to be an effective and efficient assessment process for geohazard related threats to pipelines based on total stress and strain in-line inspection data. This novel concept deploying micro-magnetic hysteresis technology in a pipeline environment to directly assess stress and strain for monitoring at an increased interval and reduced lead time provides factual data on the presence and effects of displacement loads on the pipeline as well as significant additional information on factors that control the structural capacity of the pipeline. Alignment of integrity calculations and results of installed monitoring systems with measured stress & strain inspection data enables the process to be validated and improves confidence in the results. The whole concept is illustrated through a case study of a repeated inspection showcasing the repeatability of the ILI data combined with integrity assessment versus Strain Gage Data. This way the significant potential of this approach is obvious.
To view the video or download the paper please register here for free
You already have access? Sign in now.