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Digital Design Basis
Prototyping a Shared Data Model for Early-phase Field Development I The Digital Design Basis project concluded this year and provided valuable experience for further work in the READI and IMF projects. The common data model, written using OWL and RDF was used to demonstrate how design basis information from an operator could be made available to engineering applications used by different suppliers. The project brought together Lundin Energy, AkerBP, Equinor, Aker Solutions, TechnipFMC and Aize. The work was organized as a SIRIUS Innovation project. The project results are freely available at the SIRIUS web site. Results were presented at the Advances in Process Digitalization conference and will be published in Digital Chemical Engineering.
David Cameron
The Digital Design Project started in 2019 and conclu- ded in mid 2021. Since the end of the project, we have worked on preparing the results for publication and building on its results in the READI and IMF projects. We have developed and demon- strated a common digital model representation of the information in early-phase design bases for oil & gas field developments. The
We believe the industry needs to have more projects like this, where consortia along the supply chain work with academia and software vendors to agree on interopera- bility standards by working on real, non-trivial problems. Fortunately, it appears that the European Union, World Economic Forum, and International Organization of Oil & Gas Producers agree with this goal.
Our approach here is not restricted to the oil & gas industry. The system breakdown and modelling of fluid properties can be extended straightforwardly to chemical, fine chemicals, and energy applications. A good first step would be an extension of the RDS for Oil & Gas to ensure that it covers the unit operations in these other domains. We are working further with the READI partners to do this.
This work was experimental, where we were seeking to prove that recent advances in system modelling and ontologies could be applied to a real design basis problem. This meant the integrations with tools tended to be pragmatic rather than user-friendly and scalable. Further work is needed to provide the tools that are necessary to integrate models like this into engineering workflows.
Semantic technology tools are too low-level to be used by practising engineers. OTTR templates have addressed some of these usability challenges, but further work must focus on developing a set of tools to simplify configuration of the model and access to data.
A graphical tool is needed for building system-oriented models by selecting nodes and connecting these nodes with topological and semantic relationships. This tool should also allow the configuration of design basis data in a guided, but flexible sequence. This interface can exploit the semantic
scope of the project was to develop a proof of concept for a Digital Design Basis that supports data-centric rather than document-based engineering.
The project established a standards-based data model
that holds data about both the design basis and functional requirements decided by an operator. This model that can be implemented in any relevant software tools in a concept study, to ensure that information shared between operators and EPC vendors, with their different software tools, have the same meaning and understanding. The model is based on a common digitalized language for communication along the field development supply chain.
Semantic modelling made this representation possible
and allowed data to be entered in a structured way and be consumed by engineering applications. We have validated the basic approach, which builds on reusing existing semantic models where possible. We have also demonstrated the feasibility of mixing the modelling approaches defined by ISO15926 and ISO/IEC81346.
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