Apply petroleum engineering techniques, digital information technologies and corporate standard procedures to generate value by enhancing surveillance, identifying workover candidates, preventing failures, and optimizing production economics.
Design and implement automated engineering workflows that improve operations efficiency, optimize production, and maximize hydrocarbon recovery factor.
Leverage data science methods and tools to extract insights from data, including data mining, predictive analytics, machine learning and big data.
Lead upstream digital transformation initiatives that boost the reservoir performance through wells efficiency, equipment availability and operational constraints management.
Document and share the value added and the lessons learned from internal and external use cases.
Integrate key interrelated areas: people, automated workflows, processes and technologies, by defining interfaces, understanding the challenges and providing solutions.
Prepare project charters, financial proposals, tender documents and contractor interfaces for new-solution projects, by defining requirements, work scope and breakdown structure, for enabling implementation of Digital Oilfield projects.
Coach and mentor others and build working relationships across OPCOs and the wider industry.
Utilize petro-technical software such as single well modal analysis, PipeSim, PETEX, Prosper, etc. to perform well and reservoir analysis.
Work with network and system optimization applications (PSO or IAM) to optimize production and injection rates.
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