Probability of Failure Optimization in the Oil Transportation Pipeline Integrity Assessment Process using Genetic Algorithms
DOI:
https://doi.org/10.30973/progmat/2018.10.1/7Keywords:
Decision Support System, Genetic Algorithms, Integrity Assesment, Optimization, Pipeline Integrity, Probability of Failure, Risk Assesment, Risk Optimization, Transportation Logistics for Oil and GasAbstract
The Oil Industry is one of the most proliferous worldwide. We use the oil in most aspects of our daily life. Most transport systems and power plants commonly uses oil based fuel to operate. Global economy is closely linked to the oil exploration, extraction and transformation. In order to make this possible, it is essential to transport oil and its products from one point to another. Nowadays, the most popular and safest oil distribution systems are the pipelines, which are installed throughout several or even thousands of miles along the land and sea. Nevertheless, the oil industry possess implicitly a dangerous nature, a latent risk during its operations. That risk is a combination of the likelihood of an event to develop a pipeline failure and the likely impact on the environment, business and society. This is the reason why public and private organizations, universities, research centers and governments are continuously collaborating to innovate and develop methods and technologies to assist different production, process and transport stages in order to reduce or minimize incidents and pipeline failures. In this paper we describe the development of a smart Decision Support System to assist the Decision making process based on a set of Genetic Algorithms that provide optimized configurations of the variables, used to quantitatively describe the pipeline’s condition and the Probability of Failure (PoF) under those conditions. Our project’s purpose is to find solutions through a AI based system and a Pipeline Integrity Assessment methodology, to optimize and ultimately, minimize the PoF value associated to a pipeline segment in order to avoid pipeline failures and contribute to reduce incidents that impact on the environment and human life.
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