Abstract
The digital transformation era in the oil and gas industry is changing the way we operate our assets. A new way of working introduces automation of processes and a wider application of digital solutions. These improve remote engineering capabilities to maximise usage and applications of process advanced analytics to allow faster identification and troubleshooting of equipment and process issues. The foundation of remote diagnostic engineering is the hybrid of plant data and first principle simulation model. One of the main features of the tool is harnessing a process simulation model’s strength in producing first-principle verified data and analysis, as example, a predictive composition properties model and virtual flow analysers. This soft sensor approach fills in the gaps of actual plant data availability and quality. Another main feature is the enablement of performance monitoring and diagnostics which includes equipment such as compressors, pumps, and heat exchangers. Adaptation of the new ways of working concepts will capture the intended outcomes namely reduced HSSE risks, improved profitability, higher capital efficiency and pandemic proofing. In the future, a wider application of the intelligent remote engineering tool is recommended to introduce prescriptive analysis, enriching insights for improved operational excellence.
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