Abstract
In the process industry, a digital twin is a broad concept of a virtualized representation of the manufacturing plant's assets. It aims to seamlessly connect Information Technology, Engineering Technology and Operational Technology under one over-arching framework. The goal is to integrate the contextual and operational data of projects, assets, process and buildings. Within this framework, it encompasses digital solutions for visualization, virtualization, simulation, optimization and predictive analysis. More specifically, a process digital twin (PDT) encompasses solutions that aim to simulate, predict or optimize the behavior relating to a set of integrated equipment, which define a process.
PDTs vary significantly in their type and implementation methodology. They can be physics-based, data driven or a hybrid combination of both. They can also be time-invariant or fully dynamic. Nevertheless, they generally work by mirroring the actual process in simulated mode but with full knowledge of its historical performance and an understanding of its potential. They also provide a deeper insight into the working of complex and integrated assets; often enabling users to perceive things that are not immediately apparent or are not directly measured. They further democratize access to knowledge and avail insights that everyone can understand and agree on. In their most advanced forms, they assess the process’ real-time performance and issue intelligent instructions, advising users on how to best operate complex chemical processes in order to meet operational objectives.
Numerous PDT solutions have been developed to optimize and integrate the company's hydrocarbon value chain. These continue to yield millions of dollars in annual benefits and play a major role in meeting the company's safety and sustainability targets. This paper draws on Saudi Aramco's substantial experience in conceptualizing, scoping and deploying PDTs. It further illustrates some of the advances in this domain and details the implementation strategies for solutions in this vital and emerging domain.
