Lift Cycle-Based Decision Support Solution Plan for Pipeline Integrity Management

Abstract

1. Abstract With the development of industrial big data, the Internet of things, cloud computing, and artificial intelligence, the pipeline operation management mode has changed and thus shows a gradual development from the digital pipeline toward the intelligent pipeline. The construction of a decision support technology platform can effectively solve the issue of data accumulation, the problems of various currently used systems, and the separation between data acquisition and application. This is necessary to achieve safe, efficient, and sustainable development of oil and gas pipelines. This paper comprehensively analyzes the construction of digital pipeline in both domestic and foreign pipeline businesses as well as the situation of data acquisition and utilization. Furthermore, the characteristics and difficulties in the development of decision support technology and establishment of data standards and databases of the life cycle data of pipelines are discussed. The integrity management decision support architecture infrastructure for the life cycle of pipelines was proposed, including construction period control, operation period control, and decision support. The paper introduces an integrity decision support platform for pipelines on the basis of Geographic Information System (GIS), and constructs an integrity management decision support platform combining pipeline construction, operation, and maintenance. This platform can be applied to 1) data acquisition during the construction period, the visual management of the construction quality, and the handover of the digital database; 2) online data acquisition in the operation period of the pipeline, high consequence area, management and risk assessment, integrity assessment, corrosion protection potential control, risk control in regional upgrading areas, and Unmanned Aerial Vehicle (UAV) inspection; 3) decision support for the integrity management of the pipeline, such as big data modeling, emergency decision support, risk identification for big data of welding seams, disaster monitoring, early-warning on the basis of Internet of Things (IOT), real-time monitoring of pipeline leakage, training for maintaining remote equipment, visual inspection for remote faults and hidden problems, and mobile applications. <span style=font-size:11.0pt; line-height:107%;font-family: times= new= roman,serif;mso-fareast-font-family:= calibri;mso-fareast-theme-font:minor-latin;mso-ansi-language:en-us;mso-fareast-language:= en-us;mso-bidi-language:ar-sa=>Keywords: <span style=font-size:10.0pt; line-height:107%;font-family: times= new= roman,serif;mso-fareast-font-family:= calibri;mso-fareast-theme-font:minor-latin;mso-ansi-language:en-us;mso-fareast-language:= en-us;mso-bidi-language:ar-sa=> <span style=font-size:10.0pt; line-height:107%;font-family: times= new= roman,serif;mso-fareast-font-family:= calibri;mso-fareast-theme-font:minor-latin;mso-ansi-language:en-us;mso-fareast-language:= en-us;mso-bidi-language:ar-sa=>Database; Decision Support; GIS Platform; Life Cycle; Pipeline Integrity Management