Big data troubleshooting surveillance of your assets to achieve a more predictable business outcome
Today’s upstream oil and gas’ business environment remains characterized by joint venture governed asset operations, with new hydrocarbon discoveries tapping into old infrastructures including existing production facilities, wells and shared production pipelines.
To move up the value chain operators are in need to effectively mature big data analytics, enabling faster and more informed decision making based on democratization of advanced analytics without data modelling.
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About the Authors
Paul Blackhurst is an internationally experienced Oil & Gas process automation and engineering professional with proven major project/R&D delivery leadership/execution skills, fundamentally biased towards operational excellence from a wide range of successful past operational technical roles. Paul retains a passionate track record for driving sustainable and operable technology deployment, spanning all sectors of O&G facilities including LNG. Such passion is fundamentally underpinned by strong project management skills focussed on business bottom line impacting technologies and the essential ingredient of fostering active leadership development of people via in-role experiences.
Julian Pereira is Head of Customer Success EMEA at TrendMiner and Process Chemical Engineer by education. Julian has built his key industrial process expertise by delivering a variety of on-site engineering solution services around the globe for Oil & Gas, petrochemical and manufacturing processes. Among his expertise, Julian has 10 years of experience in process simulation and optimisation, energy optimization and integration, data analytics and continuous improvement. Currently Julian is helping the industry to work towards a successful digitalization journey with TrendMiner.