Publications

Publications

Journal articles 

  1. Alberts, L., Duffaut, K., & Rannem, T. (2020). Automatic Detection and Classification of Unconformities on Seismic Data Using Machine Learning. 2020(1), 1-5. https://doi.org/https://doi.org/10.3997/2214-4609.202032084
  2. Andersen, J. R., & Imsland, L. (2021). Application of Data-Driven Economic NMPC on a Gas Lifted Well Network. IFAC-PapersOnLine, 54(3), 275-280. https://doi.org/https://doi.org/10.1016/j.ifacol.2021.08.254
  3. Brechan, B., Teigland, A., Dale, S., Sangesland, S., & Kornberg, E. (2020). Collapse prediction of pipe subjected to combined loads. Journal of Petroleum Science and Engineering, 191, 107158. https://doi.org/https://doi.org/10.1016/j.petrol.2020.107158
  4. Chawshin, K., Berg, C. F., Varagnolo, D., & Lopez, O. (2021b). Lithology classification of whole core CT scans using convolutional neural networks. SN Applied Sciences, 3(6), 668. https://doi.org/10.1007/s42452-021-04656-8
  5. Chawshin, K., Gonzalez, A., Berg, C. F., Varagnolo, D., Heidari, Z., & Lopez, O. (2021). Classifying Lithofacies from Textural Features in Whole Core CT-Scan Images. SPE Reservoir Evaluation & Engineering, 24(02), 341-357. https://doi.org/10.2118/205354-pa
  6. Emmanuel Monod, Alan Eisner, Elisabeth Joyce, Antonia Koester, Nataliia Korotkova, Deli Kong. Digital transformation consulting: Toward a model of Human-Digital Competitiveness for digital transformation: Evidence from companies in China. Network and Information Security Journal. Issue 11, p.34-41
  7. Fedorov, S., Hagspiel, V., & Lerdahl, T. (2021). Real options approach for a staged field development with optional wells. Journal of Petroleum Science and Engineering, 205, 108837. https://doi.org/https://doi.org/10.1016/j.petrol.2021.108837
  8. Hotvedt, M., Grimstad, B., & Imsland, L. (2020). Developing a Hybrid Data-Driven, Mechanistic Virtual Flow Meter - a Case Study. IFAC-PapersOnLine, 53(2), 11692-11697. https://doi.org/https://doi.org/10.1016/j.ifacol.2020.12.663
  9. Hotvedt, M., Grimstad, B., & Imsland, L. (2021). Identifiability and physical interpretability of hybrid, gray-box models - a case study. IFAC-PapersOnLine, 54(3), 389-394. https://doi.org/https://doi.org/10.1016/j.ifacol.2021.08.273
  10. Hotvedt, M., Grimstad, B., Ljungquist, D., & Imsland, L. (2022). On gray-box modeling for virtual flow metering. Control Engineering Practice, 118, 104974. https://doi.org/https://doi.org/10.1016/j.conengprac.2021.104974
  11. Ivo, O. F., & Imsland, L. S. (2021). Analysis of Optimal Control Strategies for Efficient Operation of a Produced Water Reinjection Facility for Mature Fields. IFAC-PapersOnLine, 54(3), 115-121. https://doi.org/https://doi.org/10.1016/j.ifacol.2021.08.228
  12. Ivo, O. F., & Imsland, L. S. (2022). Framework for produced water discharge management with flow-weighted mean concentration based economic model predictive control. Computers & Chemical Engineering, 157, 107604. https://doi.org/https://doi.org/10.1016/j.compchemeng.2021.107604
  13. Khalil, S., Monod, E., Joyce, E., Bonnet, M., Korotkova, N., & Köster, A. (2021). THE RETURN ON DIGITAL TRANSFORMATION: A HOLISTIC PERFORMANCE SYSTEM BASED ON HIDDEN COST THEORY FOR BRINGING VALUE BACK TO DIGITAL TRANSFORMATION CONSULTING.
  14. Kristoffersen, B. S., Bellout, M. C., Silva, T. L., & Berg, C. F. (2021). An Automatic Well Planner for Complex Well Trajectories. Mathematical Geosciences, 53(8), 1881-1905. https://doi.org/10.1007/s11004-021-09953-x
  15. Kristoffersen, B. S., Bellout, M. C., Silva, T. L., & Berg, C. F. (2022). Reduced well path parameterization for optimization problems through machine learning. Journal of Petroleum Science and Engineering, 208, 109523. https://doi.org/https://doi.org/10.1016/j.petrol.2021.109523
  16. Kristoffersen, B. S., Silva, T., Bellout, M., & Berg, C. F. (2020). An Automatic Well Planner for Efficient Well Placement Optimization Under Geological Uncertainty. 2020(1), 1-16. https://doi.org/https://doi.org/10.3997/2214-4609.202035211
  17. Kristoffersen, B. S., Silva, T. L., Bellout, M. C., & Berg, C. F. (2021). Efficient well placement optimization under uncertainty using a virtual drilling procedure. Computational Geosciences. https://doi.org/10.1007/s10596-021-10097-4
  18. Lei, G., Silva, T. L., & Stanko, M. (2021a). Compact formulations for efficient early-phase field development optimization of multi-reservoir fields. Computers & Chemical Engineering, 150, 107319. https://doi.org/https://doi.org/10.1016/j.compchemeng.2021.107319
  19. Maksimov, D., Pavlov, A., & Sangesland, S. (2021). Prediction and Early Detection of Karsts—An Overview of Methods and Technologies for Safer Drilling in Carbonates. Energies, 14(20), 6517. https://www.mdpi.com/1996-1073/14/20/6517
  20. Monod, E., Koester, A., Joyce, E., Khalil, S., & Korotkova, N. (2021). Digital Transformation Consulting: Toward a Human-Technology Performance Model Digital Transformat. Academy of Management Proceedings, 2021(1), 12737. https://doi.org/10.5465/AMBPP.2021.12737abstract
  21. Ng, C. S. W., Jahanbani Ghahfarokhi, A., & Nait Amar, M. (2021). Application of nature-inspired algorithms and artificial neural network in waterflooding well control optimization. Journal of Petroleum Exploration and Production Technology, 11(7), 3103-3127. https://doi.org/10.1007/s13202-021-01199-x
  22. Ng, C. S. W., Jahanbani Ghahfarokhi, A., & Nait Amar, M. (2022a). Production optimization under waterflooding with Long Short-Term Memory and metaheuristic algorithm. Petroleum. https://doi.org/https://doi.org/10.1016/j.petlm.2021.12.008
  23. Ng, C. S. W., Jahanbani Ghahfarokhi, A., & Nait Amar, M. (2022b). Well production forecast in Volve field: Application of rigorous machine learning techniques and metaheuristic algorithm. Journal of Petroleum Science and Engineering, 208, 109468. https://doi.org/https://doi.org/10.1016/j.petrol.2021.109468
  24. Ng, C. S. W., Jahanbani Ghahfarokhi, A., Nait Amar, M., & Torsæter, O. (2021). Smart Proxy Modeling of a Fractured Reservoir Model for Production Optimization: Implementation of Metaheuristic Algorithm and Probabilistic Application. Natural Resources Research, 30(3), 2431-2462. https://doi.org/10.1007/s11053-021-09844-2
  25. Nystad, M., Aadnøy, B. S., & Pavlov, A. (2021). Real-Time Minimization of Mechanical Specific Energy with Multivariable Extremum Seeking. Energies, 14(5), 1298. https://www.mdpi.com/1996-1073/14/5/1298
  26. Pedersen, T. I., & Schjølberg, P. (2020). The Economic Dimension of Implementing Industry 4.0 in Maintenance and Asset Management. In (pp. 299-306). https://doi.org/10.1007/978-981-15-2341-0_37
  27. Pedersen, T. I., Størdal, H., Bjørnebekk, H., & Vatn, J. (2021). A Survey on the Use of Digital Twins for Maintenance and Safety in the Offshore Oil and Gas Industry. https://doi.org/10.3850/978-981-18-2016-8_246-cd
  28. Pedersen, T. I., Vatn, J., & Jørgensen, K. (2020). Degradation Modelling of Centrifugal Pumps as Input to Predictive Maintenance. https://doi.org/10.3850/978-981-14-8593-0_4104-cd
  29. Silva, T., Bellout, M., Giuliani, C., Camponogara, E., & Pavlov, A. (2020). A Derivative-Free Trust-Region Algorithm for Well Control Optimization. 2020(1), 1-20. https://doi.org/https://doi.org/10.3997/2214-4609.202035086
  30. Silva, T. L., & Pavlov, A. (2020). Dither signals optimization in constrained multi-agent extremum seeking control. IFAC-PapersOnLine, 53(2), 1633-1639. https://doi.org/https://doi.org/10.1016/j.ifacol.2020.12.2217
  31. Tabella, Gianluca & Paltrinieri, Nicola & Cozzani, Valerio & Salvo Rossi, Pierluigi. (2020). Subsea Oil Spill Risk Management Based on Sensor Networks. Chemical Engineering Transactions. 82. 199-204. 10.3303/CET2082034.
  32. G. Tabella, N. Paltrinieri, V. Cozzani and P. S. Rossi, "Wireless Sensor Networks for Detection and Localization of Subsea Oil Leakages," in IEEE Sensors Journal, vol. 21, no. 9, pp. 10890-10904, 1 May1, 2021, doi: 10.1109/JSEN.2021.3060292.
  33. Torres Caceres, V. A., Duffaut, K., Westad, F. O., Stovas, A., Johansen, Y. B., & Jenssen, A. (2022). Automated Log Data Analytics Workflow – The Value of Data Access and Management to Reduced Turnaround Time for Log Analysis. Petrophysics - The SPWLA Journal of Formation Evaluation and Reservoir Description, 63(01), 35-60. https://doi.org/10.30632/PJV63N1-2022a3
  34. Torres Caceres, V. A., Duffaut, K., Yazidi, A., Westad, F. O., & Johansen, Y. B. (2022). Automated Well-Log Depth Matching – 1D Convolutional Neural Networks Vs. Classic Cross Correlation. Petrophysics - The SPWLA Journal of Formation Evaluation and Reservoir Description, 63(01), 12-34. https://doi.org/10.30632/PJV63N1-2022a2
  35. Torres, V., Duffaut, K., Stovas, A., Westad, F. O., & Johansen, Y. B. Automation of depth matching using a structured well-log database: Prototype well example in the North Sea. In SEG Technical Program Expanded Abstracts 2020 (pp. 440-444). https://doi.org/10.1190/segam2020-3424928.1

  36. Schulze, F. S., Dalle A.G; Imsland, L.S., Harjunkoski, I. 2019. “Optimal Maintenance Scheduling for Washing of Compressors to Increase Operational Efficiency“. Computer-aided chemical engineering, Volume 46. pp.1321-1326.

  37. Andersson, L. E., Scibilia, F., Imsland, L.S. 2019. “An iceberg forecast approach based on a statistical ocean

    current model”. Cold Regions Science and Technology, Volume 158. pp. 128-142.

  38. Monteiro,E., Parmiggiani, E. 2019. “Synthetic Knowing: The Politics of the Internet of Things”. MIS Quarterly Volume 43(1), pp. 167-184.

  39. Parmiggiani, E., Monteiro, E. “Digitized Coral Reefs”. DigitalSTS: A Field Guide for Science & Technology

    Studies. Princeton University Press 2019 ISBN 978-0-691-18707-5. pp. 300-325.

  40.  Silva, T.L., Codas, A., Stanko, M., Camponogara, E., Foss, B.A. 2019. “Network-Constrained Production

    Optimization by Means of Multiple Shooting”. SPE Reservoir Evaluation and Engineering 2019, Volume

    22(02), pp. 709-733. 

  41. Hovda, S. 2019. “Multi-dimensional semi-analytical model for axial stick-slip of a rod sliding on a surface with Coulomb friction”. Advances in Mechanical Engineering 2019, Volume 11(3), pp. 1-12 

  42. Hovda, S. 2019. “Optimal procedures for lowering and applying weight on the bit when starting to drill.” Journal of Petroleum Science and Engineering 2019, pp. 872-879.

Conference papers 

  1. Chawshin, K., Berg, C. F., Varagnolo, D., & Lopez, O. (2021a). A Deep-Learning Approach for Lithological Classification Using 3D Whole Core CT-Scan Images. SPWLA 62nd Annual Logging Symposium,
  2. Fedorov, Semyon and Hagspiel, Verena and Lerdahl, Thomas, Real Options Approach for a Staged Field Development With Optional Wells (September 23, 2020). Available at SSRN: https://ssrn.com/abstract=3698334 or http://dx.doi.org/10.2139/ssrn.3698334
  3. Fedorov, S., Hagspiel, V., Lerdahl, T., Idris, A., & Ghahfarokhi, A. J. (2020). Staged Development of a Marginal Oil Field Under Technical and Market Uncertainty: The Olympus Case. SPE Annual Technical Conference and Exhibition,
  4. Gomar, M., & Elahifar, B. (2022). Real-Time Drilling Bit Fault and Symptom Diagnosis During Operation Based on Cutter Force Modeling of PDC Polycrystalline Diamond Compact Bits. IADC/SPE International Drilling Conference and Exhibition,
  5. Hepsø, Vidar & Monteiro, Eric (2021). From Integrated Operations to Remote Operations: Socio-technical Challenge for the Oil and Gas Business. In Black, Nancy; Neumann, Patrick & Noy, Ian (Ed.), Proceedings of the 21st Congress of the International Ergonomics Association (IEA 2021). Springer Nature. ISSN 978-3-030-74601-8. p. 169–176. doi: 10.1007/978-3-030-74602-5_26.
  6. Islam, Abu Md Ariful; Vatn, Jørn. (2020) Condition-based maintenance model for a single component subject to long preparation time and limited maintenance opportunities. e-proceedings of the 30th European Safety and Reliability Conference and 15th Probabilistic Safety Assessment and Management Conference (ESREL2020 PSAM15).
  7. Islam, Abu Md Ariful; Vatn, Jørn. (2020) Data Analysis to Facilitate Offshore Seawater Ultrafiltration Membrane Replacement Decision and Scheduling of Chemical Wash. e-proceedings of the 30th European Safety and Reliability Conference and 15th Probabilistic Safety Assessment and Management Conference (ESREL2020 PSAM15).
  8. Islam, Abu Md Ariful; Srivastav, Himanshu; Vatn, Jørn; Barros, Anne; Lundteigen, Mary Ann. (2019) Time-dependent Unavailability Assessment of Final Element of Safety Instrumented Systems- an Application of Multiphase Markov Process. Proceedings of the 29th European Safety and Reliability Conference(ESREL). 22 – 26 September 2019 Hannover, Germany.
  9. J. R. Andersen, T. Lima Silva, L. Imsland and A. Pavlov, "Real time optimization of systems with fast and slow dynamics using a lookahead strategy," 2020 59th IEEE Conference on Decision and Control (CDC), 2020, pp. 2342-2349, doi: 10.1109/CDC42340.2020.9304460.
  10. Ewa Maria Laskowska, Jørn Vatn. Degradation modelling using a Phase Type Distribution (PHD). 30th European Safety and Reliability Conference (ESREL 2020 PSAM15).
  11. Ewa Maria Laskowska, Jørn Vatn. State modelling and prognostics of safety valves used in the oil and gas industry. Proceedings of the 29th European Safety and Reliability Conference (ESREL 2019) Hannover, Germany.

  1. Lei, G., Silva, T. L., & Stanko, M. (2021b). A Mathematical Programming Approach to Determine Optimal Tieback Development Concepts of Two Offshore Oil Fields in the Barents Sea. The 31st International Ocean and Polar Engineering Conference,
  2. Lei, G., Stanko, M., Silva, T. L., Widerøe, T., & Skogvang, A. (2021). The Use of Mathematical Programming to Determine Optimal Production and Drilling Schedule in an Offshore Oil Field, A Case Study From the Barents Sea. ASME 2021 40th International Conference on Ocean, Offshore and Arctic Engineering,
  3. Maksimov, D., Pavlov, A., & Sangesland, S. (2020). Drilling in Karstified Carbonates: Early Risk Detection Technique. ASME 2020 39th International Conference on Ocean, Offshore and Arctic Engineering,
  4. Monod, E., Koester, A., Joyce, E., Korotkova, N. & Khalil, K. (2021) The Return on Digital Transformation: A holistic performance system based on hidden cost theory. 10th International conference and doctoral consortium AOM Division MC/ ISODC/ Le CNAM / ISEOR, online, 9 & 10 June, 2021. http://www.iseor-formations.com/pdf/ACTESCOLMCD2021/MONOD.pdf
  5. Nystad, M., & Pavlov, A. (2020). Micro-Testing While Drilling for Rate of Penetration Optimization. ASME 2020 39th International Conference on Ocean, Offshore and Arctic Engineering,
  6. Rødseth H., Sølvsberg E., Steine A., Schjølberg P., Henriksen-Polanscak E. (2021) A Holistic Approach to PLI in Smart Maintenance Towards Sustainable Manufacturing. In: Dolgui A., Bernard A., Lemoine D., von Cieminski G., Romero D. (eds) Advances in Production Management Systems. Artificial Intelligence for Sustainable and Resilient Production Systems. APMS 2021. IFIP Advances in Information and Communication Technology, vol 633. Springer, Cham. https://doi.org/10.1007/978-3-030-85910-7_41
  7. Pedersen, Tom Ivar & Haskins, Cecilia. (2021). Framework for the Implementation of Smart Maintenance. 1347-1354. 10.3850/978-981-18-2016-8_083-cd. Conference: Proceedings of the 31st European Safety and Reliability Conference
  8. Thiago Lima Silva, Alexey Pavlov. Dither signal optimization for multi-agent extremum seeking control. European Control Conference (ECC), 2020
  9. R. Spahić, V. Hepsø and M. A. Lundteigen, "Reliable Unmanned Autonomous Systems: Conceptual Framework for Warning Identification during Remote Operations," 2021 IEEE International Symposium on Systems Engineering (ISSE), 2021, pp. 1-8, doi: 10.1109/ISSE51541.2021.9582534.
  10. Emmanuel Monod, Antonia Koester, Elisabeth Joyce, Sabine Khalil, and Nataliia Korotkova, 2021: Digital Transformation Consulting: Toward a Human-Technology Performance Model Digital Transformat. Proceedings, 2021, https://doi.org/10.5465/AMBPP.2021.12737abstract
  11. Monod, Emmanuel; Köster, Antonia; Joyce, Elisabeth; Korotkova, Nataliia. Digital Transformation Consulting: Toward a Human-Technology Performance Model. Academy of Management Proceedings 2021
  12. G. Tabella, N. Paltrinieri, V. Cozzani and P. S. Rossi, "Data Fusion for Subsea Oil Spill Detection Through Wireless Sensor Networks," 2020 IEEE SENSORS, 2020, pp. 1-4, doi: 10.1109/SENSORS47125.2020.9278741.
  13. Tabella, Gianluca & Ciuonzo, Domenico & Paltrinieri, Nicola & Salvo Rossi, Pierluigi. (2021). Spatio-Temporal Decision Fusion for Quickest Fault Detection Within Industrial Plants: The Oil and Gas Scenario.
  14. Teglasy, Balint & Gran, Bjørn & Katsikas, Sokratis & Gkioulos, Vasileios & Lundteigen, Mary. (2020). Clarification of the Cybersecurity and Functional Safety Interrelationship in Industrial Control Systems: Barrier Concepts and Essential Functions. 1980-1987. 10.3850/978-981-14-8593-0_3786-cd.
  15. Xing, Y., Mohallick, I., Gulla, J. A., Özgöbek, Ö., & Zhang, L. (2020). An Educational News Dataset for Recommender Systems. In I. Koprinska, M. Kamp, A. Appice, C. Loglisci, L. Antonie, A. Zimmermann, R. Guidotti, Ö. Özgöbek, R. P. Ribeiro, R. Gavaldà, J. Gama, L. Adilova, Y. Krishnamurthy, P. M. Ferreira, D. Malerba, I. Medeiros, M. Ceci, G. Manco, E. Masciari, Z. W. Ras, P. Christen, E. Ntoutsi, E. Schubert, A. Zimek, A. Monreale, P. Biecek, S. Rinzivillo, B. Kille, A. Lommatzsch, & J. A. Gulla, ECML PKDD 2020 Workshops Cham.

Conference presentations

  1. Arnø, M. L., Thuve, A., Knoop, S., Handeland, A.S., Turøy, P.Ø., Hovda, S., Pavlov, A. 2019. “Design and implementation of a miniature autonomous drilling rig”. VIII Oil and Gas Production Optimization Workshop, 29-30 April 2019, Rio de Janeiro, Brazil
  2. Nystad, A.N., Pavlov, A., Schiefloe, P.M., Monteiro, E. 2019. ”People Development for Digitalization in Oil and Gas Industry: BRU21 perspective”. VIII Oil and Gas Production Optimization Workshop, 29-30 April 2019, Rio de Janeiro, Brazil
  3. Pavlov, A. 2019. “BRU21: NTNU Research and Innovation Program in Digital and Automation Solutions for Oil and Gas Industry”, CIUS Conference, 2-3 May, 2019, Oslo, Norway
  4. Pavlov, A. 2019. “The BRU21 vision of autonomous operations”, SINTEF Petroleum Conference; 19-20 March 2019, Trondheim, Norway
  5. Monteiro, E. 2019. “Digital oil”. Distinguished scholar lecture, Warwich Business School, March 2019
  6. Silva, T.L., Bellout, M., Giuliani, C. M., Camponogara, E. 2019. “Derivative-free algorithms and applications for production optimization”. VIII Oil and Gas Production Optimization Workshop; 2019-04-29 - 2019-04-30
  7. Bellout, M., Baumann, E., Kristoffersen, B.S., Silva, T.L. 2019. VII Oil and Gas Production Optimization Workshop, 29-30 April 2019, Rio de Janeiro, Brazil
  8. Korotkova, N., Mohallick, I., Schiefloe, P.M. 2019. OASIS, the IFIP Working Group 8.2 Research Workshop. 14 December 2019, Munich, Germany
  9. Korotkova, N., Horn, M. 2019. “Betydningen av tillit 4.0 og kommunikasjon 4.0 i tidsalderen for digitale organisasjoner”. NEON-konferansen, 26-28 November 2019, Lillehammer, Norway
  10. Korotkova, N., Horn, M. 2019. “What does the concept of trust mean in the age of digital organizations?”. Production of Participation in the Digital World Workshop, 12-13 December 2019, Trondheim, Norway