The prediction of corrosion rate and its migration is of paramount importance to the oil and gas industry. In fact, according to the National Association of Corrosion Engineers (NACE) International, the total annual cost of corrosion industry-wide is estimated to be over USD 1.3 billion, which includes surface pipelines/facilities, downhole tubing and capital expenditures related to corrosion.
This webinar will showcase how open literature corrosion data can be translated into knowledge via data-driven modeling techniques. The results can lead to a digital twin for descriptive, predictive, diagnostic and prescriptive purposes, thus helping to mitigate pipeline and flowline corrosion issues. The Voice of the Oilfield™ approach and Well Construction 4.0 initiatives are examples of comprehensive solutions that incorporate the digital twin approach. This webinar will also highlight how a digital “systems of systems” strategy enables the investigation of the effects that multiple subsystems might have on the overall mission of the system and, potentially, the impact that interactions will have between the subsystems.