A new approach for dynamic optimization of waterflooding problems

2006 SPE Intelligent Energy Conference and Exhibition

Volumn 1, Issue , 2006, Pages 253-263

  Lorentzen, R J ^a   Berg, A M ^a   Naevdal G ^a   Vefring, E H ^a  

^a SPE   (Norway)

Author keywords

[No Author keywords available]

Indexed keywords

ELECTRIC INDUCTORS; KALMAN FILTERING; MATHEMATICAL MODELS; OPTIMAL CONTROL SYSTEMS; OPTIMIZATION; PROBLEM SOLVING;

DYNAMIC OPTIMIZATION; PARTIAL ENUMERATION METHOD; WATERFLOODING PROBLEMS;

WELL FLOODING;

EID: 33745446617     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.2118/99690-ms     Document Type: Conference Paper

References (5)

1. D. R. Brouwer and J. D. Jansen. Dynamic optimization of water flooding with smart wells using optimal control theory. SPE Journal, 9(4);391-402, December 2004.
2. G. A. Virnovsky. Waterflooding strategy design using optimal control theory. In Proc. 6th European Symp. on IOR, pages 437-446, Stavanger, 1991.
3. P. Sarma, K. Aziz, and L. J. Durlofsky. Implementation of adjoint solution for optimal control of smart wells. In SPE Reservoir Simulation Symposium, Huston, Texas, USA, 31 January - 2 February 2005. SPE 92864.
4. P. Wang. Development and application of production optimization techniques for petroleum fields. Phd thesis, Department of Petroleum Engineering, Stanford University, 2003.
5. G. Evensen. The ensemble Kalman filter: Theoretical formulation and practical implementation. Ocean Dynamics, 53:343-367, 2003.