Complete Growth Overview on Digital Twin in Oil & Gas Industry

A digital twin is the creation or collection of digital data that represents a physical object. The concept of the digital twin has its roots in engineering and in the creation of technical drawings / graphics. Digital twins are the result of continuous improvement in the creation of product design and engineering activities. Product drawings and technical specifications have evolved from hand-made drawing to computer-aided drawing / computer-aided design (CAD) to model-based system engineering (MBSE).

Get Sample PDF

Some of the key players of Digital Twin in Oil & Gas Industry:

Equinor, General Electric, IBM Corporation, PTC Inc, Microsoft Corporation, Siemens AG, Ansys, Inc, SAP SE, Oracle Corporation, Robert Bosch GmbH, SWIM.AI, Dassault Systemes, Aveva Group PLC

The digital twin of a physical object depends on the digital thread - the design and lowest level specification for a digital twin - and the "twin" depends on the digital thread to maintain accuracy. Changes to the product design are implemented using Engineering Change Orders (ECO). An ECO made on a component element results in a new version of the element's digital thread and, accordingly, the digital twin.

Digital twins were expected by David Gelernter's 1991 book Mirror Worlds. It is widely recognized in both industry and scientific publications that Michael Grieves of the Florida Institute of Technology first applied the digital twin concept to manufacturing. The concept and model of the digital twin was publicly presented in 2002 by Grieves, then from the University of Michigan, at a conference of the Society of Manufacturing Engineers in Troy, Michigan.