David Cameron

• Cameron, David B.; Waaler, Arild Torolv Søetorp; Fjøsna, Erlend; Hole, Monica & Psarommatis, Foivos (2022). A semantic systems engineering framework for zero-defect engineering and operations in the continuous process industries. Frontiers in Manufacturing Technology. ISSN 2813-0359. doi: 10.3389/fmtec.2022.945717.
• Ghadrdan, Maryam & Cameron, David B. (2022). An Overview of the Evolution of Oil and Gas 4.0. I Sharifzadeh, Mahdi (Red.), Industry 4.0 Vision for Energy and Materials: Enabling Technologies and Case Studies. John Wiley & Sons. ISSN 9781119695936. s. 241–268. doi: 10.1002/9781119695868.ch9. Vis sammendrag

  In Industry 4.0 Vision for the Supply of Energy and Materials, distinguished researcher and editor, Dr. Mahdi Sharifzadeh, delivers thematic, analytic, and applied discussions of the Industry 4.0 vision for supply chain design and operation. The book compiles all current aspects and emerging notions of Industry 4.0 into clusters of "enablers" and "analytics" of Supply Chain 4.0. Their multifaceted and highly interconnected nature is discussed at length, as are their diverse range of applications. You will discover uses of these new technologies ranging from the supply of conventional energy networks to renewables, pharmaceuticals, and additive manufacturing. You will also learn about their implications for economic prosperity and environmental sustainability. For each sector, this book scrutinizes current industrial practice and discusses developing concepts. Finally, the book concludes with potential future research directions of interest to industry practitioners and academics alike. Readers will also benefit from the inclusion of: A thorough introduction to connectivity through wireless communications and remote sensors An exploration of blockchains and smart contracts, as well as robotics and automation and cloud computing Practical discussions of supply chain analytics, including big data, machine-learning, and artificial intelligence, as well as supply chain modeling, optimization, and control A concise treatment of Industry 4.0 applications in supply chain design and operation, including the circular economy and the power industry An analysis of the oil, gas, and petrochemical industry, the pharmaceutical industry, and additive manufacturing Perfect for PhD-level and Postdoctoral researchers and industrial researchers, Industry 4.0 Vision for the Supply of Energy and Materials will also earn a place in the libraries of working professionals with an interest in the quantitative analysis of Supply Chain 4.0 concepts and techniques.

• Cameron, David; Skogvang, Arnljot; Fekete, Mihaly; Martinsson, Henrik; Strand, Morten & Castro, Marcel [Vis alle 10 forfattere av denne artikkelen] (2022). The Digital Design Basis. Demonstrating a framework to reduce costs and improve quality in early‐phase design. Digital Chemical Engineering. ISSN 2772-5081. 2(100015). doi: 10.1016/j.dche.2022.100015. Fulltekst i vitenarkiv Vis sammendrag

  As a joint initiative, Aker BP, Lundin-Norway, Aker Solutions, TechnipFMC, Aibel and Aize, together with Sirius (the oil and gas research centre at the University of Oslo) have developed and demonstrated a common digital model representation of the information in early-phase design bases for oil & gas field developemnts. The 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.

• Kharlamov, Evgeny; Martin-Recuerda, Francisco; Perry, Brandon; Cameron, David B.; Fjellheim, Roar Arne & Waaler, Arild Torolv Søetorp (2019). Towards Semantically Enhanced Digital Twins. 2018 IEEE International Conference on Big Data (Big Data). s. 4189–4193. doi: 10.1109/BigData.2018.8622503.
• Cameron, David B. & Østerlie, Thomas (2018). Sirius: Collaboration across the digital divides in the oil and gas supply chain. I Meerman, Arno (Red.), Practitioners Proceedings of the 2018 University-Industry Interaction Conference: Challenges and Solutions for Fostering Entrepreneurial Universities and Collaborative Innovation. University Industry Innovation Network. ISSN 9789491901331. s. 91–101.
• Cameron, David B.; Waaler, Arild & Komulainen, Tiina M. (2018). Oil and Gas digital twins after twenty years. How can they be made sustainable, maintainable and useful? Linköping Electronic Conference Proceedings. ISSN 1650-3686. s. 9–16. doi: 10.3384/ecp181539. Vis sammendrag

  The digital twin offers a potentially powerful way of using simulation to support business and change the way industrial operations are done. The idea of the digital twin is not new but recent changes in information technology make implementation of digital twins a natural next step in the application of simulation technologies. Simulation practitioners will find that their models are increasingly embedded in complex systems that combine simulations with operational data to solve a business problem. However, the successful adoption of this approach is challenging. This paper asks the question: “How can digital twins be made sustainable, maintainable and useful?”. We focus primarily on the development of twins in the oil and gas industry. Most academic work in this area has been done in the manufacturing industries. We review this literature and propose a simple model of digital twins. This allows us to identify challenges with current implementations and propose a research agenda that will allow future twins to be sustainable, maintainable and usable.

• Cameron, David B.; Skjæveland, Martin G; Giese, Martin; Hovland, Dag; Waaler, Arild & Bjørge, Eldar [Vis alle 7 forfattere av denne artikkelen] (2016). Optique: Simple, Oil & Gas-oriented access to big data in exploration, SPE Intelligent Energy Conference and Exhibition, Aberdeen, Scotland, UK, 6-8 September 2016 - Conference Proceedings. Society of Petroleum Engineers. ISSN 978-1-61399-459-7. doi: 10.2118/181111-MS.
• Cameron, David Bruce & Bogle, I. David. L. (2002). CAPE Tools for Off-Line Simulation, Design and Analysis. I Gani, Rafiqul (Red.), Software Architectures and Tools for Computer-Aided Process Engineering. Elsevier. ISSN 0444508279. s. 373–392.
• Cameron, David B.; Paterson, William R. & Morton, William (1991). Framework for modelling of metallurgical processes. Mineral Processing and Extractive Metallurgy: Transactions of the Institutions of Mining and Metallurgy: Section C. ISSN 0371-9553. 100, s. C11–C20.

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• Cameron, David B. (2021). Digital Twins for Science. The Science of Digital Twins.
• Cameron, David B. (2020). Boundary spanning in the interfaces between academic computer science, the IT industry and the extractive industries.
• Cameron, David B. (2020). Digitale tvillinger. Hva er de? Hvordan kan de brukes? . Vis sammendrag

  Begrepet «digital tvilling» har blitt et moteord i løpet av de siste årene. Gartnergruppens årlige gjennomgang av slike ord har plassert begrepet på toppen av hypekurven i både 2018 og 2019. Mange leverandører tilbyr systemer som lover å være tvilling til et system, by, anlegg eller menneske. Dette foredraget har målet til å gi en nøktern oversikt over hva en digital tvilling er og hvordan den kan brukes i industriell praksis. Med utgangspunktet i petroleumsindustrien ser vi på hvordan forskning innen informatikk kan bidra til implementeringen av nyttige, kostnadseffektive og skalerbare digitale tvillinger.

• Yu, Ingrid Chieh; Cameron, David B.; Vølstad, Ann & Larsen, Åshild Hanne (2020). Industrial mentoring for junior researchers: An enabler for personal development and innovation . Vis sammendrag

  The SIRIUS Centre for Research-Based Innovation, based at the University of Oslo, is a collaborative organization that addresses challenges of digitalisation in, and beyond, the oil and gas industry. It aims to produce innovation that solves operational challenges in industry through application of high-quality com-puter science research. The centre brings together academics from the three universities, two research in-stitutes, large companies in the oil and gas sector, IT vendors, both global and local, and a group of spe-cialized companies. It is a complex task to generate industrial innovation and excellent research simultaneously. The centre brings together a diverse group of participants, with widely differing backgrounds and motivations. Effort must be made to bridge the gaps between our academic researchers and their industrial counterparts. As part of this effort, SIRIUS ran a mentoring program for junior academics in 2017 and 2018. This paper describes the program, its results and practical experience that was derived from the program. Each of the authors brings their own perspective to the paper. The lead author is the deputy director of the centre. She defined the objectives, led and ran the mentoring program. The second author was the manager in the centre with responsibility for relationships with the centre’s industrial partners. He was the sponsor of the program. The third author works for AFF, a consultancy that prepared the content of the program and facilitated the meetings in the program. The final author is one of the mentors. She is also a C-level executive in the energy company Equinor.

• Cameron, David B. (2019). SIRIUS: Innovation-driven research? Research-driven innovation? Or both together?
• Cameron, David B.; Waaler, Arild & Abel, Mara (2019). Digital Twins as a Platform For Artificial Intelligence in the Petroleum Supply Chain.
• Cameron, David B. (2019). SIRIUS Digital Twins, Semantics and Petrobras.
• Cameron, David B.; Waaler, Arild; Skjæveland, Martin G; Gjerver, Anders & Hansen, Christian Mahesh (2019). The Whole Plant Digital Twin: What Can Semantic Technologies Contribute?
• Cameron, David B. (2019). Digital Twin Research – University of Oslo . [Internett]. FutureDistributed.org. Vis sammendrag

  This week’s show is all about the DIGITAL TWIN! I sat down with David Cameron, Coordinator at the Sirius Centre for Research-based Innovation, at the University of Oslo. This research lab focuses on the digitalisation of oil and gas operations and is (in my opinion) one of the most advanced research programs on infrastructure digital twins – mainly because the oil and gas sector has been doing ‘digital-twin’-type applications for more than 20 years. In this episode, we’ll be answering some big question like: What can we learn from the Oil and Gas sector who have been developing ‘digital twins’ for over 20 years? What are some of the current research challenges being tackled by the Sirius Centre? How is the centre collaborating with industrial partners to put this expertise into practice?

• Cameron, David B.; Waaler, Arild; Tungland, Knut Sebastian & Nøst, Elisabeth (2019). Using the Industry Collaboration Canvas in the Mid-Term Review. Experience in applying the framework in the oil and gas industry. Vis sammendrag

  The SIRIUS Centre for Scalable Data Access in the Oil and Gas Domain is funded by the Research Council of Norway and hosted by the University of Oslo. It pursues fundamental research that drives innovations related to digitalisation of the oil & gas industry. The centre consists of researchers from four institutions (University of Oslo, NTNU, Simula Research Centre and University of Oxford) and fourteen companies in the oil and gas supply chain. It is funded for eight years from 2015 and is now undergoing a mid-term review that assesses the centre’s progress and determines whether it will be funded for its full term. To prepare for the review, it was necessary to have a structured discussion with each industrial partner. This was done to determine how successful the partnership had been to date, see if any changes needed to be made and sketch a plan for the last half of the centre’s life. The assessment required a tool that was simple to use, easy to understand and flexible. We chose to use the Industry Collaboration Canvas of Frølund, Murray and Riedel (2018). This paper describes the process and results of this work, from the perspective of the centre management and two of the larger partner companies, Equinor and TechnipFMC. Two workers were trained in the use of the canvas in March 2018. The process was explained to the partners at the centre’s general assembly and it was agreed that we would conduct these workshops. The workshops were then held in the second half of 2018. SIRIUS management visited each partner’s site to hold the meeting. However, in some cases, videoconferencing had to be used due to the geographical factors. The use of the canvas was considered to be successful. Feedback from all participants was positive and the information gathered provided factual material for preparing the documents needed for the mid-term re-view. In all cases, we identified concrete actions that will improve the value of collaboration between the researchers and each industrial partner. The canvas identified gaps and potential problems for collaboration. In these cases we were able to agree on necessary corrective actions. The canvas is now shared between centre management and the partner and is a de-facto agreement on how the partnership will continue over the next 5 years. The canvas is an effective and powerful tool for assessing and planning interactions between researchers and industrial companies. It is simple to use, easy to understand and brings rigour and structure to the discussions around current and new collaborations. We are actively promoting the use of this tool in other parts of the University.

• Cameron, David B. & Østerlie, Thomas (2018). Sirius: Collaboration across the digital divides in the oil and gas supply chain. Vis sammendrag

  This paper describes how we have succeeded in setting up industry-university collaboration in SIRIUS, a centre for research-based innovation on digitalization in the oil and gas industry. Funded through the Norwegian Research Council's programmes for centres of excellence, it is comparable to what Champenois and Etzkowitz (2017) refer to as a hybrid autonomous organization. The centre consists of academic researchers from two of Norway's largest universities and the University of Oxford. The indus-try partners represent the ecosystem of companies in the oil and gas industry, with one major operator, a major oil service company, and a set of vendor companies who specialize in different aspects of digitali-zation. Centres for research-based innovation have two masters: they must deliver world class research for the universities and funding bodies and useful innovation for the partner companies. Drawing upon Gibbons et al.'s (1994) insight that knowledge is produced in industry-university collaborations only to the extent that the interests of all stakeholders are included, we therefore find that a key to succeeding in SIRIUS begins with explicitly acknowledging that research institutions and companies participate in the centre to further on-going activities on digitalization within their respective organizations. Another key to success is that we combine the strengths of the centre's networked organization with a formalized project qualification pipeline. This requires investment of intellectual resources in extensive prospecting for innovation and research ideas. We call this scoping. These then mature through standard stage-gate, with mature ideas resulting in collaborative piloting and innovation projects. This approach has been set in place and tried out for two years. It has generated a promising portfolio of industrially relevant project ideas, a first tranche of aligned doctoral projects and a clear view of what SIRIUS should deliver. We will use the SIRIUS’ ongoing Geological Assistant project to illustrate how these two elements play together in practice. This project emerged from a series of separate scoping workshops between the cen-tre's academic researchers, a vendor company and an operating company. This project then moved through a process of feasibility assessment with all stakeholders. This process of developing understand-ing and securing corporate commitment has resulted in an innovation project that is now started. Using the feasibility study, the vendor representative and academic project leader worked with the networked organization to mobilize academics resources. This involved both formulating a vision for the innovation, as well as returning to the basic question: "what is in this for you?" The latter is necessary to secure inter-est and committed resources from the academic researchers.

• Cameron, David B. (2018). Scalable, Useful and Maintainable Digital Twins: Cross-Sector Experience from the Oil and Gas Sector.
• Cameron, David B.; Waaler, Arild & Komulainen, Tiina M. (2018). Oil and Gas digital twins after twenty years. How can they be made sustainable, maintainable and useful? Vis sammendrag

  The digital twin offers a potentially powerful way of using simulation to support business and change the way industrial operations are done. The idea of the digital twin is not new but recent changes in information technology make implementation of digital twins a natural next step in the application of simulation technologies. Simulation practitioners will find that their models are increasingly embedded in complex systems that combine simulations with operational data to solve a business problem. However, the successful adoption of this approach is challenging. This paper asks the question: “How can digital twins be made sustainable, maintainable and useful?”. We focus primarily on the development of twins in the oil and gas industry. Most academic work in this area has been done in the manufacturing industries. We review this literature and propose a simple model of digital twins. This allows us to identify challenges with current implementations and propose a research agenda that will allow future twins to be sustainable, maintainable and usable.

• Cameron, David B. (2018). Digitalization perspectives from the oil and gas domain.
• Cameron, David B.; Kluwer, Johan Wilhelm & Berli, Bjørn (2017). Masterclass on Digital Engineering.
• Cameron, David B. (2017). Scalable data access is necessary for successful digitalisation.
• Cameron, David B. (2017). Scalable data access: Lower-cost higher-impact environmental compliance.
• Cameron, David Bruce; Waaler, Arild; Hovland, Dag & Skjæveland, Martin G (2017). Practical Knowledge Representation for Data Access to Subsurface Data: The Achievements and Potential of the Optique Platform.
• Cameron, David Bruce (2017). Successful big data projects.
• Cameron, David Bruce (2017). Getting the Dinosaurs to Dance: Innovation culture meets academia and the oil and gas industry .
• Cameron, David Bruce (2017). Digitalization in the Natural Resources Industry: A Challenge and an Opportunity.
• Cameron, David Bruce (2017). Digitalization: How can we mix the ”new oil” and the old oil? The role of IT research. Vis sammendrag

  This talk starts with a brief review of what digitalisation and what it means, using the models of Machines, Platforms and Crowds (Brynjolfsson, MIT), Industrie 4.0 and The World Economic Forum initiative in oil and gas digitalisation. We them give some cautions are then given about digitalisation: Machines are not magic, rubbish in results in rubbish out, the challenge of the data swamp, the danger of the data scientist as guru and the social nature of exploration and operations. We then describe how we are working in SIRIUS to bring computer science to bear on oil and gas digitalisation. (a) Bridging gaps in the digitalisation supply chain (end-users, vendors, academics) (b) Interdisciplinary research with computer science (c) Interdisciplinary research between computer science, engineering and geosciences. (d) The need for interpreters. We then conclude with three examples: (1) opening up exploration databases and national data repositories (2) using semantics to create paper-free engineering, procurement and construction and (3) applying formal methods to operational planning.

• Cameron, David B. (2016). Analytics and scalable data access: the future of industrial information technology.
• Cameron, David B. (2016). Industry 4.0 for the oil and gas sector. Research and Innovation challenges and mechanisms.
• Cameron, David B. (2016). Presentation of SIRIUS Centre.
• Cameron, David B.; Skjæveland, Martin G; Giese, Martin; Hovland, Dag; Waaler, Arild & Bjørge, Eldar [Vis alle 7 forfattere av denne artikkelen] (2016). Optique: Simple, Oil & Gas-oriented access to big data in exploration.
• Cameron, David B. (2016). Masterclass on Big Data.
• Cameron, David Bruce (2014). Big Data in Exploration and Production: Silicon Snake-Oil, Magic Bullet, or Useful Tool?
• Enemark-Rasmussen, Rasmus; Cameron, David; Angelo, Per Bagge & Sin, Gürkan (2012). A simulation based engineering method to support HAZOP studies. Computer-aided chemical engineering. ISSN 1570-7946. doi: 10.1016/B978-0-444-59506-5.50085-7.
• Komulainen, Tiina; Enemark-Rasmussen, Rasmus; Sin, Gürkan; Fletcher, John P. & Cameron, David (2012). Experiences on dynamic simulation software in chemical engineering education. Education for Chemical Engineers. ISSN 1749-7728. doi: 10.1016/j.ece.2012.07.003.
• Cameron, David B.; Falk, Kristin & Kokkula, Satyanarayana (Satya) (2021). Towards Digital Requirements for Transformation in the Natural Resources Industries White Paper from the DSYNE Network Workshop, 9th-10th February 2021 . SIRIUS Centre for Research-Based Innovation. Fulltekst i vitenarkiv

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