On a case study in optimization-based layout design of sensors for a pipeline using synthetic localized corrosion data
Localized corrosion is quite common and at the same time difficult to monitor in oil/gas metallic pipelines. If it is not detected in a timely manner, localized corrosion can result in a pipeline failure and consequently economic, environmental and even human losses. This abstract briefly presents a case study in optimization-based layout design of sensors and human inspection for a pipeline under localized corrosion. In the case study, the data for the corrosion is synthetically generated. This data, which is assumed to be stochastic in nature, is used in an approach to maximize a measure of detection and maximize a utility function of cost.
AAPG Datapages/Search and Discovery Article #90329©2018 AAPG/SEG/EAGE/SPE Middle East Region RDPETRO, Abu Dhabi, UAE, May 9-10, 2018