David Cameron

• Cameron, David B.; Skjæveland, Martin G; Giese, Martin; Hovland, Dag; Waaler, Arild; Bjørge, Eldar & Tungland, Knut Sebastian (2016). Optique: Simple, Oil & Gas-oriented access to big data in exploration, In  SPE Intelligent Energy Conference and Exhibition, Aberdeen, Scotland, UK, 6-8 September 2016 - Conference Proceedings.  Society of Petroleum Engineers.  ISBN 978-1-61399-459-7.  KAPITTEL.
• Cameron, David Bruce & Bogle, I. David. L. (2002). CAPE Tools for Off-Line Simulation, Design and Analysis, In Rafiqul Gani (ed.),  Software Architectures and Tools for Computer-Aided Process Engineering.  Elsevier.  ISBN 0444508279.  5.2.  s 373 - 392
• Cameron, David B.; Paterson, William R. & Morton, William (1991). Framework for modelling of metallurgical processes. Transactions of the Institution of Mining and Metallurgy Section C - Mineral Processing and Extractive Metallurgy.  ISSN 0371-9553.  100, s C11- C20

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• Cameron, David B. (2018). Digitalization perspectives from the oil and gas domain.
• 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 B.; Kluwer, Johan Wilhelm & Berli, Bjørn (2017). Masterclass on Digital Engineering.
• 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 Bruce (2017). Getting the Dinosaurs to Dance: Innovation culture meets academia and the oil and gas industry.
• Cameron, David Bruce (2017). Successful big data projects.
• 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 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). Masterclass on Big Data.
• Cameron, David B. (2016). Presentation of SIRIUS Centre.
• Cameron, David B.; Skjæveland, Martin G; Giese, Martin; Hovland, Dag; Waaler, Arild; Bjørge, Eldar & Tungland, Knut Sebastian (2016). Optique: Simple, Oil & Gas-oriented access to big data in exploration.
• Cameron, David Bruce (2014). Big Data in Exploration and Production: Silicon Snake-Oil, Magic Bullet, or Useful Tool?.

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