North American Oil & Gas Pipelines

NOV-DEC 2018

North American Oil & Gas Pipelines covers the news shaping the business of oil and gas pipeline construction and maintenance in North America, including pipeline installation methods, integrity management innovations and managerial strategies.

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34 North American Oil & Gas Pipelines | NOVEMBER/DECEMBER 2 018 C A S E S T U D Y How Danos Applied Analytics to Deliver Customer Cost Savings By Clay Car ter and Richard Mott B y applying data analytics, Dan- os has developed a process to streamline coatings operations, delivering cost savings to the customer. Corrosion maintenance of a pipeline from offshore, through marsh, over land and into a plant is expensive. Utilizing key performance indicators (KPIs) and project management tech- niques produces better results and saves the customer money. This case study demonstrates how data analytics saved a customer money. By merging customer data on the life of paint systems with overall maintenance costs, Danos has created a healthy quality assur- ance and quality control program, which demonstrates that through data analytics, companies can drive better operations and customer cost savings. Data Collection and Analysis The following analysis, comprised of multiple atmospheric corrosion mainte- nance projects, at numerous pipeline lo- cations, with a variety of owners, shows how data can help drive down a pipeline company's ownership costs and is present- ed from the perspective of the coatings' contractor. The expert analysis is from a corrosion technician with 30 years of ex- perience with one pipeline company and a project superintendent with 20 years of experience executing pipeline mainte- nance projects offshore, through marsh lands, into plants and through midstream stations and facilities. Additionally, KPIs were gathered over a five-year period and helped to drive data analysis and trends. Over the course of several years and numerous pipeline projects, data gath- ering can reveal patterns, trends and as- sociations. The output is only as good as the input, and while the human fac- tor in gathering data is often skewed from one person to the next, the subset of information collected begins to tell a powerful story. SCENARIO 1: Inefficiencies in Platform Maintenance This hypothetical project began on an offshore platform for Company X's pipe- line export and gathering asset. Com- pany X has used the same subcontracted coatings crew and equipment from the same contractor, Contractor A, for many years. This year, Contractor B was offered the opportunity to provide the coatings maintenance services. Contractor B sent Data Rescue to the

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