Field Optimization Tool for Maximizing Asset Value
- William J. Bailey (Schlumberger) | Benoit Couet (Schlumberger)
- Document ID
- Society of Petroleum Engineers
- SPE Reservoir Evaluation & Engineering
- Publication Date
- February 2005
- Document Type
- Journal Paper
- 7 - 21
- 2005. Society of Petroleum Engineers
- 4.3.4 Scale, 2.3 Completion Monitoring Systems/Intelligent Wells, 5.1.5 Geologic Modeling, 1.6 Drilling Operations, 5.5.5 Evaluation of uncertainties, 3.3 Well & Reservoir Surveillance and Monitoring, 4.1.5 Processing Equipment, 5.5 Reservoir Simulation, 5.4.2 Gas Injection Methods, 5.5.8 History Matching, 5.6.3 Deterministic Methods, 4.1.2 Separation and Treating
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In this paper, we propose an optimization framework for maximizing assetvalue, both with and without uncertainty. We first present the methodology totreat a general control optimization in the presence of uncertainty, followedby a brief section on the optimization algorithms used. We then describe thefield model example used to illustrate the application of the methodology.Through a systematic analysis of various deterministic and stochastic cases, weaddress the various objectives sought. Using net present value (NPV) as ameasure, we also explore the valuation of advanced completions along with thereturns gained from expanding surface gas-handling facilities. The method alsogenerates an efficient frontier that can be used for risk and decisionanalysis. The results clearly demonstrate the value of such a framework forvalue maximization in planning both near- and long-term time horizons as wellas providing the necessary foundation for maximizing asset value.
We consider an existing infill program for a mature real onshore oil and gasfield with the objective of maximizing asset value. We do so by optimizing ahistory-matched reservoir model, and we provide confidence levels underuncertainty by generating efficient frontiers.
Application of search or optimization algorithms has been the subject ofnumerous studies and articles both inside and outside the petroleumindustry.1-14 Following from the work of Raghuraman et al.,1 this paperconsiders a real reservoir and attempts to maximize its value by analyzingvarious exploitation scenarios.
The paper first describes the main features of the framework: the overallmethodology and different optimization schemes. It then applies theoptimization process to the field example. While maximizing asset value withand without the presence of uncertainty, the efficient frontier is discussedand its use for risk management and decision making is demonstrated.
The process of optimizing a reservoir, under the assumption that everythingis deterministically known, is relatively straightforward. One may want toextract the maximum fraction of oil and/or minimize the water production ormaximize the NPV of the oil produced by optimally controlling variousoperational variables (e.g., individual-completion flow rates), all the whileaccounting for physical constraints (e.g., single-well production or pump/valvelimitations) and economic constraints (e.g., drilling, logging, or stimulationcosts). However, the presence of physical and/or financial uncertaintieselevates the problem of optimization to the level of a risk-management problem.A framework has been developed that encompasses the necessary elements toperform reservoir optimization under uncertainty and to provide the riskanalysis necessary for decision making. A detailed description of the process,with an example on reservoir monitoring and control, is given in Raghuraman etal.1 Fig. 1 shows a schematic of the algorithm for a problem withuncertainty.
|File Size||2 MB||Number of Pages||15|
1.Raghuraman, B. et al.: "Valuation of Technology andInformation for Reservoir Risk Management," SPEREE (October 2003) 307.
2.Couët, B., Burridge, R., and Wilkinson, D.: "Optimization UnderReservoir and Financial Uncertainty," paper presented at the 2000 EuropeanConference on the Mathematics of Oil Recovery, Baveno, Italy, 5-8September.
3.Bittencourt, A.C. and Horne, R.N.: "Reservoir Development and DesignOptimization," paper SPE 38895 presented at the 1997 SPE Annual TechnicalConference and Exhibition, San Antonio, Texas, 5-8 October.
4.Burridge, R. et al.: "Optimal Stimulation of Oil Production," inDecision Making Under Uncertainty: Energy & Power, The IMA Volumes inMathematics and Its Applications, Vol. 128, Claude Greengard and AndrzejRuszczynski (eds.), Springer-Verlag, New York City (2002) 17-37.
5.Cullick, A.S. et al.: "Optimizing Multiple-Field Schedulingand Production Strategy With Reduced Risk ," paper SPE 84239 presented atthe 2003 SPE Annual Technical Conference and Exhibition, Denver, 5-8October.
6.Davidson, J.E. and Beckner, B.L.: "Integrated Optimization for RateAllocation in Reservoir Simulation," paper SPE 79701 presented at the 2003SPE Reservoir Simulation Symposium, Houston, 3-5 February.
7.Harding, T.J., Radcliffe, N.J., and King, P.R.: "Optimisation of Production StrategiesUsing Stochastic Search Methods," paper SPE 35518 presented at the 1996European 3-D Reservoir Modelling Conference, Stavanger, 16-17 April.
8.Jonsbråten, T.W.: "Optimization Models for Petroleum FieldExploration," PhD dissertation, Norwegian School of Economics and BusinessAdministration (NHH), Bergen, Norway (May 1998).
9.Litvak, M. et al.: "Prudhoe Bay E-Field ProductionOptimization System Based on Integrated Reservoir and Facility Simulation,"paper SPE 77643 presented at the 2002 SPE Annual Technical Conference andExhibition, San Antonio, Texas, 29 September-2 October.
10.Narayanan, K., Cullick, A.S., and Bennett, M.: "Better Field Development DecisionsFrom Multi-Scenario, Interdependent Reservoir, Well, and FacilitySimulations," paper SPE 79703 presented at the 2003 SPE ReservoirSimulation Symposium, Houston, 3-5 February.
11.Wang, P., Litvak, M., and Aziz, K.: "Optimization of Production Operationsin Petroleum Fields," paper SPE 77658 presented at the 2002 SPE AnnualTechnical Conference and Exhibition, San Antonio, Texas, 29 September-2October.
12.Yang, D. et al.: "Integrated Global Optimization ofDisplacement Efficiency in Hydrocarbon Reservoirs," paper SPE 81035presented at the 2003 SPE Latin American and Caribbean Petroleum EngineeringConference, Port-of-Spain, Trinidad, West Indies, 27-30 April.
13.Yeten, B., Durlofsky, L.J., and Aziz, K.: "Optimization of Smart WellControl," paper SPE 79031 presented at the 2002 SPE International ThermalOperations and Heavy Oil Symposium and International Horizontal Well TechnologyConference, Calgary, 4-7 November.
14.Yeten, B., Durlofsky, L.J., and Aziz, K.: "Optimization of Nonconventional WellType, Location and Trajectory," paper SPE 77565 presented at the 2002 SPEAnnual Technical Conference and Exhibition, San Antonio, Texas, 29 September-2October.
15.lack, F. and Scholes, M.: "The Pricing of Options and CorporateLiabilities," J. of Political Economy (May-June 1973) 81, 673.
16.Merton, R.C.: "Theory of Rational Option Pricing," Bell J. ofEconomics and Management Science (Spring 1973) 4, 141.
17.Clewlow, L. and Strickland, C.: "Valuing Energy Options in a OneFactor Model Fitted to Forward Prices," working paper. School of Finance andEconomics, U. of Technology, Sydney (April 1999). Some of this material issummarized in Chapter 7 of Energy Derivatives: Pricing and Risk Management(Clewlow, L. and Strickland, C.), Lacima Publications, London (2000).
18.Bailey, W., Mun, J., and Couët, B.: "A Stepwise Example of Real OptionsAnalysis of a Production Enhancement Project ," paper SPE 78329 presentedat the 2002 SPE European Petroleum Conference, Aberdeen, 29-31 October.
19.Nelder, J.A. and Mead, R.: "A Simplex for Function Minimization"The Computer J., The British Computer Society (1965) 7, No. 4, 308-313.
20.Press, W.H. et al.: Numerical Recipes in C—The Art of ScientificComputing, second edition, Cambridge U. Press (1992).
21.Conn, A.R., Scheinberg, K., and Toint, P.L.: "A Derivative FreeOptimization Algorithm in Practice," Proc., 7th AIAA/USAF/NASA/ISSMO Symposiumon Multidisciplinary Analysis and Optimization, St. Louis, Missouri (7 July1998).
22.Glover, F., and Laguna, M.: Tabu Search, Kluwer AcademicPublishers, Boston (1997).
23.Bryant, I.D. et al.: "Real-Time Monitoring and Control ofWater Influx to a Horizontal Well Using Advanced Completion Equipped withPermanent Sensors," paper SPE 77522 presented at the 2002 SPE AnnualTechnical Conference and Exhibition, San Antonio, Texas, 29 September-2October.
24.Eck, J. et al.: "Downhole Monitoring: The Story So Far," OilfieldReview (Winter 1999/2000) 20.
25.Algeroy, J. et al.: "Controlling Reservoirs From Afar," OilfieldReview (Autumn 1999) 18.
26.ECLIPSE Office, Reference Manual and Technical Description,GeoQuest, Houston (2003).
27.Markowitz, H.M.: "Portfolio Selection," J. of Finance (1952) 7, No.1, 77; also in Portfolio Selection, Wiley, New York City (1987).