The offshore oil & gas industry is exposed to extreme levels of risk. Companies and equipment are subject to volatile price fluctuations, extreme weather conditions and operational hazards like explosions, spills and workplace injuries. This is why the importance of predictive maintenance of the drilling equipment is much more intensified and puts additional stress on offshore maintenance providers as minor errors in predictions may lead to massive scale consequences.
We sat down with Alun Jones to talk to us about the developments, challenges and future outlooks of data science in his industry. Alun spoke at Data Innovation Summit 2018 and shared his experience with that it means to work as a Data Scientist in heavy asset industry.
For the second time, on May 23-24, 2019, Stockholm was host to nearly 200 Predictive Maintenance practitioners and key players, gathered for the Maintenance Analytics Summit, an annual event to share ideas, and discuss ways to harness the full potential of machine data and Advanced Analytics to improve and automate their condition monitoring and maintenance processes.
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