A Simulated Model for Assesing the Line Condition of Onshore Pipelines

Abstract

Pipelines are considered safest mode of transport because of their limited number of facilities. It is therefore very important to monitor and optimize their operation and reduce their facilities to acceptable limits. Hence, it is an immediate requirement to assess and predict condition of existing oil and gas pipelines and to prioritize the planning of their inspection on a timely basis. Therefore, this study presents the development of models based on specific factors, that can predict the condition of onshore oil and gas pipelines. The model was developed using BPN (Back Propagation Network) techniques based on historical inspection data collected from the oil and gas fields. The model is expected to help pipeline operators to assess the condition of existing oil and gas pipelines and hence prioritize their inspection and rehabilitation operations.

Remaining useful life prediction of crude oil pipeline by means of deterioration curves

“…Various probabilistic techniques have been developed for decades to predict the future condition of pipeline systems. Significant savings can be made possible by optimizing the inspection strategies . Abbasy et al developed deterioration curves by using ANN techniques to predict the future condition of oil and gas pipelines .…”

“…Significant savings can be made possible by optimizing the inspection strategies. 8,9 Abbasy et al developed deterioration curves by using ANN techniques to predict the future condition of oil and gas pipelines. 10 Doleac et al proposed a model to predict the wall thickness of a pipeline by relating the corrosion depth level with age of pipeline.…”