Self-learning reservoir management

SPE Reservoir Evaluation and Engineering

Volumn 8, Issue 6, 2005, Pages 534-547

  Saputelli, Luigi A ^a,b   Nikolaou, Michael ^a   Economides, Michael J ^a  

^a UNIVERSITY OF HOUSTON   (United States)

^b HALLIBURTON   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER SIMULATION; FEEDBACK CONTROL; MATHEMATICAL MODELS; OIL FIELD DEVELOPMENT; OPTIMIZATION; PETROLEUM RESERVOIR EVALUATION; PROJECT MANAGEMENT;

HYDROCARBON-PRODUCING FIELD; MODEL-PREDICTIVE CONTROL (MPC); RESERVOIR MANAGEMENT;

PETROLEUM RESERVOIR ENGINEERING;

COMPUTER SIMULATION; FEEDBACK CONTROL; MATHEMATICAL MODELS; OIL FIELD DEVELOPMENT; OPTIMIZATION; PETROLEUM RESERVOIR ENGINEERING; PETROLEUM RESERVOIR EVALUATION; PROJECT MANAGEMENT;

HYDROCARBON RESERVOIR;

EID: 31444456206     PISSN: 10946470     EISSN: None     Source Type: Journal    
DOI: 10.2118/84064-pa     Document Type: Article

References (44)

1. Saputelli, L.: Σelf-Learning Reservoir Management: An Application of Model Predictive Control for Continuous Oilfield Optimization," PhD dissertation, U. of Houston, Houston (2003).
2. Saputelli, L.: "Drilling Annual Report," PDVSA internal report, Caracas (1999).
3. Saputelli, L. et al.: "Integration of Computer-Aided High-Intensity Design With Reservoir Exploitation of Remote and Offshore Locations," paper SPE 64621 presented at the 2000 SPE International Oil and Gas Conference and Exhibition in China, Beijing, 7-10 November.
4. Yeten B., Durlofsky, L.J., and Aziz, K.: "Optimization of Nonconventional Well Type, Location, and Trajectory," paper SPE 77565 presented at the 2002 SPE Annual Technical Conference and Exhibition, San Antonio, Texas, 29 September - 2 October.
5. Ramirez, W.F.: Application of Optimal Control Theory to Enhanced Oil Recovery, Elsevier, New York City (1987).
6. McKie, C.J.N. et al.: "Economic Benefits From Automated Optimization of High Pressure Gas Usage in an Oil Production System," paper SPE 67187 presented at the 2001 SPE Production and Operations Symposium Oklahoma City, Oklahoma, 24-27 March.
7. Sudaryanto, B.: "Optimization of Displacement Efficiency of Oil Recovery in Porous Media Using Optimal Control Theory," PhD dissertation, U. of Southern California, Los Angeles (1999).
8. Murphy, J.: "Matching Elegance & Brawn: The Challenges of Smart Well Technology," Oil & Gas J. (April 1999).
9. Daneshy, A. and Donnelly, J.: "JPT Roundtable: The Funding and Uptake of New Upstream Technology," JPT (March 2004) 28.
10. Nikravesh, M. et al.: "Design of Smart Wellhead Controllers for Optimal Fluid Injection Policy and Producibility in Petroleum Reservoirs: A Neuro-Geometric Approach," paper SPE 37557 presented at the 1997 SPE International Thermal Operations and Heavy Oil Symposium, Bakersfield, California, 10-12 February.
11. Jansen, B. et al.: "Automatic Control of Unstable Gas Lifted Wells" paper SPE 56832 presented at the 1999 SPE Annual Technical Conference and Exhibition, Houston, 3-6 October.
12. Nævdal, G. et al.: "A New Methodology for Designing Instrumentation of Production Wells for Inflow Profile Estimation," paper SPE 59301 presented at the 2000 SPE/DOE Improved Oil Recovery Symposium, Tulsa, 3-5 April.
13. Wang, S. et al.: "Optimal Control Strategy and Experimental Investigation of Gas-Liquid Compact Separators," paper SPE 63120 presented at the 2000 SPE Annual Technical Conference and Exhibition, Dallas, 1-4 October.
14. Dalsmo, M., Halvorsen, E., and Slupphaug, O.: "Active Feedback Control of Unstable Wells at the Brage Field," paper SPE 77650 presented at the 2002 SPE Annual Technical Conference and Exhibition, San Antonio, Texas, 29 September-2 October.
15. Brouwer, D.R. and Jansen, J.D.: "Dynamic Optimization of Water-flooding With Smart Wells Using Optimal Control Theory," SPEJ (December 2004) 391.
16. Brouwer, D.R. et al.: "Recovery Increase Through Water Flooding With Smart Well Technology," paper SPE 68979 presented at the 2001 SPE European Formation Damage Conference, The Hague, 21-22 May.
17. Lee, E.B. and Markus, L.: Foundations of Optimal Control Theory, John Wiley and Sons, New York City (1967).
18. Saputelli, L. et al.: "A Critical Overview of Artificial Neural Network Applications in the Context of Continuous Oil Field Optimization," paper SPE 77703 presented at the 2002 SPE Annual Technical Conference and Exhibition, San Antonio, Texas, 29 September-2 October.
19. Skogestad, S.: "Plantwide Control: The Search for the Self-Optimizing Control Structure," J. of Process Control (2000) 10, 487.
20. Ljung, L., Gustavsson, I., and Soderstrom, T.: "Identification of Linear Multivariable Systems Operating Under Linear Feedback Control," IEEE Trans. on Autom. Contr. (1974) 19, 836.
21. Ljung, L.: System Identification: Theory for the Users, Prentice Hall, Englewood Cliffs, New Jersey (1987).
22. Ternyik, J. IV et al.: "Virtual Measurement in Pipes: Part 1 - Flowing Bottom Hole Pressure Under Multi-Phase Flow and Inclined Wellbore Conditions," paper SPE 30975 presented at the 1995 SPE Eastern Regional Meeting, Morgantown, West Virginia, 18-20 September.
23. Mohaghegh, S. et al.: "Reservoir Characterization Through Synthetic Logs," paper SPE 65675 presented at the 2000 SPE Eastern Regional Meeting, Morgantown, West Virginia, 17-19 September.
24. Renard, G. et al.: "System Identification Approach Applied to Watercut Analysis in Waterflooded Layered Reservoirs," paper SPE 39606 presented at the 1998 SPE/DOE Improved Oil Recovery Symposium, Tulsa, 19-22 April.
25. Nikolaou, M.: "When is Non-linear Dynamic modeling necessary?," Proc., 1993 American Control Conference, San Francisco (2-4 June) 1067-1071.
26. Nikolaou, M. and Hanagandi, V.: "Non-linearity Quantification and its Application to Non-linear System Identification," Chem. Eng. Comm. (1998) 166, 1.
27. Nikolaou, M. and Misra, P.: "Linear Control of Non-linear Processes: Recent Developments and Future Directions," Computers and Chemical Engineering J. (2003) 27, No. 8-9, 1043.
28. Cutler, C.R. and Ramaker, B.L.: "Dynamic Matrix Control - A Computer Control Algorithm," Proc., 1980 Joint Automatic Control Conference, San Francisco, WP5-13 (1980).
29. Nikolaou, M.: "Model Predictive Controllers: A Critical Synthesis of Recent Developments and Industrial Needs," Chemical Engineering Series, Academic Press, Burlington, Massachusetts (2001).
30. Genceli, H., and Nikolaou, M.: "A New Approach to Constrained Predictive Control with Simultaneous Model Identification." AIChE J. (1996) 42, No. 10, 2857.
31. Eker, S.A. and Nikolaou, M.: "Adaptive Control Through On-Line Optimization: The MPCI Paradigm," Appl. Math. And Comp. Sci. (1999) 9, No. 1, 101.
32. Schwarm, A., Eker, S.A., and Nikolaou, M.: "MPCI: A New Approach to Closed-Loop Identification and Adaptive Control," FOCAPO, Snowbird, Utah (1998).
33. Schwarm, A. and Nikolaou, M.: "Chance Constrained Model Predictive Control," AIChE J. (1999) 45, No. 8, 1605.
34. Cybenko, G.: "Approximations by superpositions of a sigmoidal function," Math Control Signal Systems (1989) 2, 303.
35. Hornik, K., Stinchcombe, M., and White, H.: "Multilayer feed forward networks are universal approximators," Neural Networks (1989) 2, 359.
36. Moore, A.W.: "Cross-validation for detecting and preventing overfitting," available from www-2.cs.emu.edu/-awm/tutorials/ overfit09.pdf.
37. Akaike, H.: "Information Theory and the Extension of the Maximum Likelihood Principle," Second Intl. Symposium on Information Theory, V.N. Petrov and F. Csaki (eds.), Akailseoniai-Kiudo, Budapest (1973) 267-281.
38. Liu, W. and Ramirez, W.F.: "Interactive Personal Computer Optimal Control Calculations for Steamflooding," paper SPE 25523 available from SPE, Richardson, Texas (1992).
39. Sudaryanto, B. and Yortsos, Y.C.: "Optimization of Displacements in Porous Media Using Rate Control," paper SPE 71509 presented at the 2001 SPE Annual Technical Conference and Exhibition, New Orleans, 30 September-3 October.
40. Holmes, J.A., Barkve, T., and Lund, O.: "Application of a Multisegment Well Model to Simulate Flow in Advanced Wells," paper SPE 50646 presented at the 1998 SPE European Petroleum Conference, The Hague, 20-22 October.
41. Nyhavn, F., Vassenden, F., and Singstad, P.: "Reservoir Drainage With Downhole Permanent Monitoring and Control Systems. Real-Time Integration of Dynamic Reservoir Performance Data and Static Reservoir Model Improves Control Decisions," paper SPE 62937 presented at the 2000 SPE Annual Technical Conference and Exhibition, Dallas, 1-4 October.
42. Yeten, B., Durlovsky, L.J., and Aziz, K.: "Optimization of Smart Well Control," paper SPE 79031 presented at the 2002 SPE International Thermal Operations and Heavy Oil Symposium and International Horizontal Well Technology Conference, Calgary, 4-7 November.
43. Litvak, M. et al.: "Prudhoe Bay E-field Production Optimization System Based on Integrated Reservoir and Facility Simulation," paper SPE 77643 presented at the 2002 SPE Annual Technical Conference and Exhibition, San Antonio, Texas, 29 September-2 October.
44. Queipo, N.V., Goicochea P., J.V., and Pintos, S.: "Surrogate Modeling Based Optimization of SAGD Processes," paper SPE 69704 presented at the 2001 SPE International Thermal Operations and Heavy Oil Symposium, Porlamar, Margarita Island. Venezuela. 12-14 March.