Process Intelligence __________________________________________________________________________________________
to maintenance. Such understanding is a vital part of the oil and gas industry’ s efforts to digitize and break down silos within their organizations to drive efficiency. Process intelligence also gives AI the process data and business context it needs to be effective for the enterprise. By combining both technologies, energy companies can prepare for a smarter future.
Driving sustainability
For oil and gas companies, the transition to‘ greener’ energy is a challenge that looms ever larger. The sector is being asked to improve the sustainability of its own operations and those of its suppliers in the short term, as well as prioritizing the sale of lower-emission energy sources through retail networks over the long term. Tools such as McKinsey’ s marginal abatement cost curves( MACCs) can help identify cost-effective ways to decarbonize. These, however, still require a lot of manual analysis and work to extract the relevant information.
The data needed to operationalize sustainability strategies is often spread across a complex landscape of systems, people and processes. Process intelligence provides businesses with real-time insights to measure, report and improve these metrics. It can be the connective tissue that unites sustainability data across the business, creating a single source of truth that supports decision making in logistics planning, distribution planning and material sourcing.
Perfecting maintenance
Aging infrastructure is a major challenge throughout the oil and gas supply chain. When we speak to customers, managing the integrity and safety of the infrastructure is always among their top priorities. As oil companies become more selective about pursuing new drilling opportunities, keeping existing assets in operational condition has become more crucial than ever. Process intelligence helps oil and gas organizations streamline maintenance processes, increasing production availability, and move toward an AI-powered predictive, data-driven future.
Plant maintenance depends on upstream processes such as inventory management and procurement. Process intelligence can offer leaders in the sector insight into how these might affect servicing schedules. It can also optimize work scheduling and
Process intelligence helps oil and gas organizations streamline maintenance processes, increasing production availability, and move toward an AI-powered predictive, datadriven future task allocation, improve technician efficiency and effectiveness, and help leaders stay informed about the causes of unscheduled maintenance and the reasons for delays, paving the way for predictive and prescriptive maintenance. Process intelligence shows the integration between complex, interconnected processes, systems and teams. By breaking down silos, business leaders can align material planning and labor estimates to reduce costs and ensure production uptime is uninterrupted.
Harnessing investment
In the face of long term decarbonization, drilling locations can become increasingly difficult to source, which means oil exploration and drilling must be expertly efficient, to make the most of upstream operations. Maintaining a high standard of operational excellence is crucial for industry leaders, particularly in the commissioning of capital assets where accelerating timelines and reducing risk are paramount.
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