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SPE.org > Meeting Calendar > Closed-Loop Reservoir Management

Closed-Loop Reservoir Management

23-26 June
Bruges, Belgium

Advance registration is closed.

Closed-loop reservoir management, also known as real-time reservoir management, consists of life-cycle optimisation based on uncertain reservoir models in combination with the updating of these using production measurements, 4D seismic, and other data. The underlying hypothesis is that there is significant scope to increase recovery through frequent life-cycle optimisation based on frequently updated models. Essential elements of closed-loop reservoir management are model-based optimisation and data assimilation techniques (automatic history matching), and in particular, their integrated application in a reservoir-management workflow. In addition, techniques for model reduction and uncertainty assessment may play a role. As the field application of true closed-loop is in its infancy, the texture of the event will be a workshop with elements of a forum. This SPE Applied Technology Workshop (ATW) will explore the intellectual solutions, technology, and tools that are available and those that are needed to accelerate the routine field application of closed-loop reservoir management.

A unique feature of this ATW will be the opportunity to participate in a benchmark project to test the use of flooding optimisation and history-matching methods. This project will be organised in the form of an interactive competition during the months preceding the ATW, such that the results can be compared and discussed during the workshop

Workshop Objectives and Deliverables

Through presentations and extensive discussion, we will seek ways to provide answers to the following critical questions:

  • What is the optimal frequency for the updating of reservoir models and production strategies?
  • How can we best combine long-term reservoir management with short-term production optimisation?
  • What are the observable and controllable variables in our reservoir models and which parameters can be identified from data?
  • What is the optimal level of detail (both in space and time) for control-relevant reservoir models?
  • What are the most important decisions, and how can we focus our measurement strategy and modelling efforts to support those?
  • What is the scope to apply closed-loop reservoir management in secondary and tertiary recovery?
  • What can we learn from other disciplines such as industrial process control, meteorology and oceanography?

Who Should Attend?

  • Oil and gas industry engineers and scientists responsible for the development and employment of technology and software for the field application of assisted history matching, production optimisation, or closed-loop reservoir management
  • Academics actively engaged in research related to closed-loop reservoir management

Venue

NH Brugge Hotel

Boeveriestraat 2 Brugge
Belgium

E-mail: nhbrugge@nh-hotels.com
Tel.: +32 50 449711
Fax: +32 50 449799

Confirmed Speakers

  • Reidar Bratvold, University of Stavanger
  • Roald Brouwer, Shell
  • Benoit Couet, Schlumberger
  • Lou Durlofsky, Stanford University
  • Geir Evensen, StatoilHydro
  • Bjarne Foss, NTNU
  • Marko Maucec, Shell
  • Dennis McLaughlin, MIT
  • Henning More, Norwegian University of Science & Technology
  • Luigi Saputelli, Halliburton
  • Pallav Sarma, Chevron
  • Paul M.J. Van den Hof, Delft University
  • Greg Walker, BP
  • Mary Wheeler, University of Texas Austin