Feedback controllers for the simulation of field processes

SPE Reservoir Evaluation and Engineering

Volumn 13, Issue 1, 2010, Pages 10-23

  Guyaguler B ^a   Papadopoulos, A T ^b   Philpot, J A ^c,d  

^a CHEVRON ENERGY TECHNOLOGY COMPANY   (United States)

^b Abingdon Business Park   (United States)

^c Schumberger's Data and Consulting Services Segment   (United States)

^d NONE

Author keywords

[No Author keywords available]

Indexed keywords

CRUDE OIL; FEEDBACK CONTROL; HEAVY OIL PRODUCTION; PROPORTIONAL CONTROL SYSTEMS; RESERVOIR MANAGEMENT;

CONTROLLER ALGORITHM; FEEDBACK CONTROLLER; NON-LINEAR FUZZY CONTROLLERS; OPERATING CONDITION; OPERATING STRATEGY; PROPORTIONAL , INTEGRAL , DERIVATIVE CONTROLLERS; RESERVOIR SIMULATION; RESERVOIR SIMULATOR;

CONTROLLERS;

ALGORITHM; CONTROL SYSTEM; FEEDBACK MECHANISM; FUZZY MATHEMATICS; HYDROCARBON RESERVOIR; HYDROCARBON TECHNOLOGY; OIL WELL; RESERVOIR CHARACTERIZATION; SIMULATOR;

EID: 77949792136     PISSN: 10946470     EISSN: None     Source Type: Journal    
DOI: 10.2118/118969-PA     Document Type: Article

References (22)

1. Alhuthali, A., Oyerinde, D., and Datta-Gupta, A. 2007. Optimal Water-flood Management Using Rate Control. SPE Res Eval & Eng 10 (5): 539-551. SPE-102478-PA. doi: 10.2118/102478-PA.
2. Åström, K. and Hägglund, T. 1995. P1D Controllers: Theory, Design, and Tuning, second edition. Research Triangle Park, North Carolina, USA: ISA.
3. Bieker, H.P., Slupphaug O., and Johansen, T.A. 2007. Real-Time Production Optimization of Oil and Gas Production Systems: A Technology Survey. SPE Prod & Oper 22 (4): 382-391. SPE-99446-PA. doi: 10.2118/99446-PA.
4. ECLIPSE Technical Description 2008.1. 2008. Houston: Schlumberger GeoQuest.
5. Güyagüler, B. and Byer, T. 2008. A New Rate-Allocation- Optimization Framework. SPE Prod & Oper 23 (4): 448-457. SPE-105200-PA. doi: 10.2118/105200-PA.
6. Güyagüler, B. and Ghorayeb, K. 2006. Integrated Optimization of Field Development, Planning, and Operation. Paper SPE 102557 presented at the SPE Annual Technical Conference and Exhibition, San Antonio, Texas, USA, 24-27 September, doi: 10.2118/102557-MS.
7. Havre, K. and Dalsmo, M. 2001. Active Feedback Control as the Solution to Severe Slugging. Paper SPE 71540 presented at the SPE Annual Technical Conference and Exhibition, New Orleans, 30 September-3 October, doi: 10.2118771540-MS.
8. Kovačić, Z. and Bogdan, S. 2006. Fuzzy Controller Design: Theory and Applications. Boca Raton, Florida, USA: Control Engineering Series, CRC Press/Taylor & Francis Group.
9. Leemhuis, A.P., Nennie, E.D., Belfroid, S.P.C., Alberts, G.J.N., Peters, E., and Joosten, G.J.P. 2008. Gas Coning Control for Smart Wells Using a Dynamic Coupled Well-Reservoir Simulator. Paper 112234 presented at the Intelligent Energy Conference and Exhibition, Amsterdam, 25-27 February, doi: 10.2118/112234-MS.
10. Mata, D., Hernandez, A., Chirinos, N., Montoya, D., and Strefezza, M. 2003. Gas Lift Trouble Shoot Analysis Using Fuzzy Logic. Paper SPE 81166 presented at the SPE Latin American and Caribbean Petroleum Engineering Conference, Port-of-Spain, Trinidad and Tobago, 27-30 April, doi: 10.2118/81166-MS.
11. Nikolaou, M, Cullick, A.S., Saputelli, L., Mijares, G., Sankaran, S., and Reis, L. 2006. A Consistent Approach Toward Reservoir Simulation at Different Time Scales. Paper SPE 99451 presented at the Intelligent Energy Conference and Exhibition, Amsterdam, 11-13 April, doi: 10.2118/99451-MS.
12. Oberwinkler, C. and Stundner, M. 2005. From Real-Time Data to Production Optimization. SPE Prod & Fac 20 (3): 229-239. SPE-87008-PA. doi: 10.2118/87008-PA.
13. Rivera, V.P. 1994. Fuzzy Logic Controls Pressure in Fracturing Fluid Characterization Facility. Paper SPE 28239 presented at the Petroleum Computer Conference, Dallas, 31 July-3 August, doi: 10.2118/28239-MS.
14. Saputelli, L., Nikolaou, M., and Economides, M.J. 2005. Self-Learning Reservoir Management. SPE Res Eval & Eng 8 (6): 534-547. SPE 84064-PA. doi: 10.2118/84064-PA.
15. Sarma, P., Chen, W.H., Durlofsky, L.J., and Aziz, K. 2008. Production Optimization With Adjoint Models Under Nonlinear Control-State Path Inequality Constraints. SPE Res Eval & Eng 11 (2): 326-339. SPE-99959-PA. doi: 10.2118/99959-PA.
16. Sengul, M. and Bekkousha, M.A. 2002. Applied Production Optimization: i-Field. Paper SPE 77608 presented at the SPE Annual Technical Conference and Exhibition, San Antonio, Texas, USA, 29 September-2 October, doi: 10.2118/77608-MS.
17. Shokir, E.M. El-M. 2006. A Novel Model for Permeability Prediction in Uncored Wells. SPE Res Eval & Eng 9 (3): 266-273. SPE-87038-PA. doi: 10.2118/87038-PA.
18. Stenhouse, B. 2006. Learnings on Sustainable Model-Based Optimisation - The Valhall Optimiser Field Trial. Paper SPE 99828 presented at the Intelligent Energy Conference and Exhibition, Amsterdam, 11-13 April, doi: 10.2118/99828-MS.
19. van Dijk, F, Goh, K.C., and van Lienden, J.W. 2008. Closing the Loop for Improved Oil and Gas Production Management. Paper 111997 presented at the Intelligent Energy Conference and Exhibition, Amsterdam, 25-27 February, doi: 10.2118/111997-MS.
20. Wang, S., Mohan, R., Shoham, O., Marelli, J.D., and Kouba, G.E. 2000. Optimal Control Strategy and Experimental Investigation of Gas-Liquid Compact Separators. Paper SPE 63120 presented at the SPE Annual Technical Conference and Exhibition, Dallas, 1-4 October, doi: 10.2118/63120-MS.
21. Weiss, W, Xie, X., Weiss, J., Subramanium, V., Taylor, A., and Edens, F. 2004. Artificial Intelligence Used to Evaluate 23 Single-Well Surfactant Soak Treatments. SPE Res Eval & Eng 9 (3): 209-216. SPE-89457-PA. doi: 10.2118/89457-PA.
22. Zarei, F, Daliri, A., and Alizadeh, N. 2008. The Use of Neuro-Fuzzy Proxy in Well Placement Optimization. Paper SPE 112214 presented at the Intelligent Energy Conference and Exhibition, Amsterdam, 25-27 February, doi: 10.2118/112214-MS.