Value of information in closed-loop reservoir management

Eduardo Gonçalves Dias de Barros

Research output: ThesisDissertation (TU Delft)

30 Downloads (Pure)

Abstract

Over the past decades, many technological advances have unlocked new opportunities to boost efficiency in the oil and gas industry (e.g., complex well drilling, injection of advanced chemicals, sophisticated instrumentation). The real engineering challenge is to apply these technologies in the best possible way for each particular case. This leads to very difficult decisions to be made, mainly because every oil and gas field is one of its kind and our knowledge of the subsurface is very limited. Many efforts have been made to develop tools to support these decisions by applying a more systematic approach to determine smart exploitation strategies. Yet, very little has been done on the optimization of reservoir surveillance plans to establish the best observations to monitor de field response to the exploitation strategies, which, in turn, can also contribute to a better exploitation of the reservoir.
In this thesis we propose a methodology to assess the value of future measurements as a first step towards the development of a framework to optimize the design of reservoir surveillance plans. We also investigate alternatives to improve current reservoir management approaches by recommending actions which anticipate the availability of future information and account for the impact of immediate decisions on the decisions to be made in the future.
Throughout the chapters, we discuss how to combine a variety of topics (e.g., model-based optimization, data assimilation, uncertainty quantification) with other unusual ingredients (e.g., plausible truths, clairvoyance, flexible plans) to develop a methodology which can be applied in many problems involving decision making and learning. Despite being motivated by a real application, this research addresses abstract concepts such as value and information, but always from an engineering perspective. This makes us approach the problem in a different way, which, we hope, will inspire innovative solutions in the future.
Original languageEnglish
QualificationDoctor of Philosophy
Awarding Institution
  • Delft University of Technology
Supervisors/Advisors
  • Jansen, J.D., Supervisor
  • Van den Hof, Paul M.J., Supervisor, External person
Award date22 Jan 2018
Print ISBNs978-94-6366-009-9
DOIs
Publication statusPublished - 2018

Keywords

  • value of information
  • closed-loop reservoir management
  • reservoir surveillance
  • geological uncertainty
  • robust optimization
  • data assimilation
  • plausible truths
  • representative models
  • clustering
  • stochastic programming

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  • Research Output

    • 3 Conference contribution
    • 1 Article

    Clustering Techniques for Value-of-information Assessment in Closed-loop Reservoir Management

    Goncalves Dias De Barros, E., Yap, F. K., Insuasty, E., Van den Hof, PMJ. & Jansen, J. D., 2016, Proceedings of the 15th European Conference on the Mathematics of Oil Recovery: Amsterdam, Netherlands. EAGE, p. 1-19 19 p.

    Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

    Open Access
    File
  • 6 Citations (Scopus)
    18 Downloads (Pure)

    Value of information in closed-loop reservoir management

    Goncalves Dias De Barros, E., Van den Hof, PMJ. & Jansen, JD., 2016, In : Computational Geosciences: modeling, simulation and data analysis. 20, 3, p. 737-749 13 p.

    Research output: Contribution to journalArticleScientificpeer-review

    Open Access
  • 29 Citations (Scopus)

    Value of multiple production measurements and water front tracking in closed-loop reservoir management

    Goncalves Dias De Barros, E., Leeuwenburgh, O., Van Den Hof, P. M. J. & Jansen, J. D., 2015, Society of Petroleum Engineers - SPE Reservoir Characterisation and Simulation Conference and Exhibition, RCSC 2015. Society of Petroleum Engineers, p. 1172-1182 11 p. 175608-MS

    Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

    Open Access
    File
  • 6 Citations (Scopus)
    13 Downloads (Pure)

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