OilCo—Use of EIDI Data in Downstream Refining

OilCo is a multinational, integrated oil and gas company, consisting of numerous refineries and petrochemical plants across several countries. OilCo also owns 2,000 petrol filling stations in 13 countries. Several of its refineries are among the most profitable on their continent.

OilCo has transformed the way they refine energy and produce petrochemical products by better leveraging operational data collected by their distributed control systems (DCSs) and other refinery and plant data collection systems. OilCo's EIDI has become their universal operational technology (ОТ) language and generates more than 80 billion data points annually.

Starting in 2012, when faced with significant market and operational challenges, OilCo embarked on their digital transformation—New Downstream Program (NDP)—using the following fundamental strategies:

  • 1. OilCo viewed their operational data as a strategic asset requiring a fit for purpose infrastructure—the EIDI.
  • 2. They turned the operational data into operational intelligence and put the data in the hands of their users via self-serve access, thus distributing in context to the largest audience possible, so that people in various roles could use their talents to make product more efficiently and at a lower cost through continuous improvement.
  • 3. They began using a layers of analytics strategy that first defined what "analytics" meant to OilCo. To do this, OilCo developed an analytics framework, defining types of analytics and determining the best "fit for purpose" technology to implement these analytics. The layers of analytics were leveraged to underpin an analytic strategy that determined what type of analytics should be used to solve a particular business need. OilCo then defined the following analytics framework:

a. Descriptive

b. Diagnostic

c. Level 1 Predictive—predictions based on empirical correlations, first-principal equations, or models

d. Level 2 Predictive—predictions based on pattern recognition, machine learning, or other advanced analytics method

OilCo used the EIDI's capabilities to perform real-time, streaming analytics via the digital replicas in a template format, which was developed and maintained by their subject matter experts (SMEs). In this approach, the EIDI served as the foundation for all analytics. People have immediate access to key production indicators (KPIs) and asset health statistics and are notified at the earliest possible moment when conditions deviate from normal or optimum ranges. Contextualizing the data in an online environment reduced the need to prepare and confirm data accuracy when exporting the data to offline analytics and models.

4. OilCo also defined levels of information technology (IT)/advanced analytics into technical (unit level), strategic (refinery level), and community-focused levels to enable digital value chain integration with key suppliers such as their catalyst vendors.

 
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