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The Oil and Gas Digital Engineering Journey
Author(s) -
Hause Matthew,
Ashfield Steve
Publication year - 2018
Publication title -
incose international symposium
Language(s) - English
Resource type - Journals
ISSN - 2334-5837
DOI - 10.1002/j.2334-5837.2018.00485.x
Subject(s) - systems engineering , computer science , leverage (statistics) , executable , software engineering , manufacturing engineering , engineering management , engineering , operating system , machine learning
Model‐based systems engineering (MBSE) is the formalized application of modeling to support system requirements, design, analysis, verification and validation activities beginning in the conceptual design phase and continuing throughout development and later life cycle phases. The INCOSE Integrated Systems Engineering Vision 2025 [INCOSE, 2014] describes how future systems engineering tools will facilitate systems engineering practices as part of a fully integrated engineering environment. A shift towards an integrated, digital engineering environment enables rapid transformation of concepts and designs to digitalized virtual prototypes and then to physical prototypes through the application of additive manufacturing technologies, such as 3D printers and the digital twin in operations. This capability enables engineers to rapidly and continually assess and update their designs prior to committing costs to production hardware. Implementing this vision will require an integrated suite of tools, technologies, and standards to support the full systems engineering and product lifecycles from requirements to design to implementation and maintenance. MBSE models are digital and executable, and using an MBSE simulation engine, they can shift risk towards early stages of project development as the asset can be tested before it is built. In operations, IoT technologies enable companies to capture and leverage information about a product's performance during operation – with the potential to dramatically improve existing and future products. Service Lifecycle Management (SLM) solutions combine IoT platform technology with service solutions. This integrated closed loop systems engineering toolset applied to the Oil and Gas Industry will ensure success of the Digital Engineering Journey. This paper will describe this Digital Engineering Journey using a Coal Seam Gas example.