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Even with all the technology available today, the oil and gas engineering design process remains mostly document-based.
The majority of our work processes, specifications, organizational structure, and discipline responsibilities were developed at a time when data/information was recorded on paper. As a result, we are set up to think in documents instead of data and our work processes and organizational structure is set up to think in terms of document transfer, not data transfer. This legacy of a document based engineering design process has placed limits on the oil and gas industry’s ability to adapt to changes in technology, compress engineering design schedules, and implement changes late in a project. This talk will propose an alternative engineering execution process in ‘oil and gas capital projects that can realize the benefits of machine learning and the latest digital technologies that are transforming similar industries.