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A prediction and management tool has been developed to predict the long term development of the vertical positions of a decommissioned or abandoned offshore pipeline with respect to the surrounding seabed. The tool has been developed on the basis of the existing PIPESIN model. It enables the model calibration using the actual historical data regarding pipeline seabed interaction. It consists of a management module which enables a comparison of the predicted behaviour of a decommissioned pipeline against the requirements. The tools that generally used : to determine the required measures to minimise inspection frequency and maintenance of a decommissioned pipeline; to optimise measures to avoid or minimise the risk to pipeline and/or external activities, such as fishing; to assist in the development of an adequate policy with respect to abandonment of offshore pipelines. The decommissioned pipelines may be left on the seabed and could pose potential risks for other users of the sea. The frequency of inspection and maintenance surveys and who becomes the responsible party are then the key issues. For that purpose, a prediction model is needed which should account for pipeline seabed interactions and predict the future pipeline position with respect to the surrounding seabed and free span development, if any. The model simulates the pipeline seabed interactions in the time domain for the period from installation until a stable pipeline seabed configuration has occurred. The PIPECAST tool has been found to be useful in the decision making process for pipeline decommissioning and the evaluation of various alternatives. The features of the tool makes it, however, also useful for maintenance aspects of pipelines in operation. For instance to assess the probability of pipeline exposure or unwanted free span development in case of a dynamic seabed such as migrating sandwaves.
Tags : offshore pipelines, maintenance surveys, model calibration, free span, span development, maintenance aspects, vertical positions, inspection frequency, prediction model, responsible party, management module, time domain, decommissioning, management tool, abandonment
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