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PeTWIN
Collaboration with Brazil around Digital Twins in Oil & Gas I The PeTWIN project was finally able to kick off at the end of 2021. Work has been made difficult by COVID-19, as we have not been able to collaborate in person with our partners in USA and Brazil. However, we have made good initial progress, with three post-doctoral researchers and a PhD fellow in place. We held three workshops and a course, held by Shell, on agile development. The work in Oslo is looking at the combination of semantics with formal simulation of cyber-physical systems, linkages to knowledge representation in the READI and IMF projects, and semantic modelling of subsurface in production.
PeTWIN is a Petromaks Brazil project, financed by the Research Council of Norway. It is part of a program where the Research Council collaborates with FINEP, the Brazilian national innovation funding organization, to finance projects with Brazilian and Norwegian partners. PeTWIN’s Brazilian Partners are the Federal University of Rio Grande do Sul (UGRGS) and the Libra Field Development Consortium, hosted by Petrobras. The Norwegian Partners are the University of Oslo, Shell and Equinor. The project started in late 2020 and will run until 2024. The project team in Oslo consists of David Cameron, project manager, Martin Giese, scientific leader, three post-doctoral researchers (Eduard Kamburjan, Christian Kindermann and Vidar Klungre) and a PhD fellow (Irina Pene). The project team is supplemented by an internally financed PhD fellow (Yuanwei Qu) and a post- doctoral researcher financed by the Digiwell project (Baifan Zhou). Digiwell is a Petromaks project, led by the University of South Eastern Norway, with University of Oslo, Equinor, Kongsberg Digital, SINTEF, MIT and Imperial College as partners. Coordination between PeTWIN and Digiwell is beneficial to both projects, as they have overlapping interests.
The aim of PeTWIN is literally to write the book about digital twins in the oil and gas industry. We plan to publish a text- book on this topic in 2024. We have prepared the table of contents and are negotiating with publishers. We are doing this by working on the fundamentals of digital twins in engagement with applications in Petrobras / Libra, Shell and Equinor. The use cases cover the field management chain, from reservoir monitoring, through production optimization to facility operations and maintenance. Our researchers bring complementary skills to specific aspects of the digital twin puzzle. For example, Eduard Kamburjan is researching how we can link semantic data access and integration with dynamic simulation of cyber-physical systems. He has worked this year with a Modelica library for facility simulation
that was provided by Equinor. This work promises new ways to link our semantic technologies to complex digital twin models of facilities in a way that allows us to ensure the quality of the models and their results. Eduard is working also with Vidar Klungre, who provides the semantic techno- logies skills needed to realize the work.
Irina Pene and Yuanwei Qu are working on semantic model- ling at the other end of the production chain, namely the sub-surface. Here we have a linkage to the Exploration demonstrations, in that the modelling work done by them is coordinated with the semantic models used in that work package. Our hope is that we can demonstrate the use of these models in modelling and using the knowledge from monitoring of fields in production.
Christian Kindermann joined PeTwin late in 2021. He will
be looking at the application of semantic domain modeling and reasoning to digital twins, drawing on the results of the READI and IMF projects. We have seen that it would
be profitable to use the results or the READI and IMF work as a framework for structuring and delivering digital twins. Our vision is still to provide common tools and standard knowledge models that can benefit Libra, Shell and Equinor.
SIRIUS ANNUAL REPORT 2021
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