Real Time Optimization: Classification and Assessment
- Satoshi Mochizuki (ExxonMobil Corp.) | Luigi A. Saputelli (Halliburton Co.) | C. Shah Kabir (Chevron Corp.) | Ron Cramer (Shell Global Solutions) | Mark Lochmann (Topsail Ventures) | Richard Reese (Case Services) | Larry Harms (ConocoPhillips) | Carl Sisk (BP) | J. Roger Hite (Business Fundamentals Group) | Alvaro Escorcia (Halliburton Energy Services Group)
- Document ID
- Society of Petroleum Engineers
- SPE Production & Operations
- Publication Date
- November 2006
- Document Type
- Journal Paper
- 455 - 466
- 2006. Society of Petroleum Engineers
- 2.3.4 Real-time Optimization, 3.3 Well & Reservoir Surveillance and Monitoring, 4.2 Pipelines, Flowlines and Risers, 1.6.1 Drilling Operation Management, 5.6.11 Reservoir monitoring with permanent sensors, 5.5.2 Construction of Static Models, 3.1.1 Beam and related pumping techniques, 7.1.9 Project Economic Analysis, 5.6.4 Drillstem/Well Testing, 3 Production and Well Operations, 2.3 Completion Monitoring Systems/Intelligent Wells, 3.1.6 Gas Lift, 7.1.5 Portfolio Analysis, Management and Optimization, 7.6.4 Data Mining, 2.4.3 Sand/Solids Control, 3.1.2 Electric Submersible Pumps, 5.5.1 Simulator Development, 4.4.2 SCADA, 6.1.5 Human Resources, Competence and Training, 4.1.4 Gas Processing, 5.5.4 Visualization Technologies, 5.7.5 Economic Evaluations
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The Real-Time Optimization (RTO) Technical Interest Group (TIG) has endeavored to clarify the value of real-time optimization projects. RTO projects involve three critical components: People, Process, and Technology. Understanding these components will help establish a framework for determining the value of RTO projects. In this paper, the Technology component is closely examined and categorized.
Levels within each Technology category are illustrated by use of spider diagrams, which help decision makers understand the current status of operations and the future RTO status. The perception of uncertain value has been one of the critical issues in adopting RTO systems in our industry. Therefore, case histories are reviewed to demonstrate the impact of RTO projects.
To assist RTO project promotion further, we list lessons learned, suggest a justification process, and present a simple example of an economic-evaluation process.
Industry case histories demonstrate many types of benefits from RTO such as production-volume increase; better return on investment (ROI); higher decision quality; health, safety, and environment (HSE) improvements; and operational expenditures (OPEX) reduction. However, they have lacked systematic project-evaluation processes for justification.
Today, promoting RTO is, in essence, a competition for capital within a company. The project teams that recognize this fact and then clearly outline the purpose, benefits, costs (direct or indirect), and strategic business alignment of their proposals will be in an advantageous position to secure funding. Because RTO is still an emerging discipline, classifying projects of this nature is still dependent on an individual's point of view. This paper provides classification of RTO to help provide a common vocabulary to address a multitude of issues.
|File Size||1 MB||Number of Pages||12|
Athichanagorn, S., Horne, R.W., and Kikani, J. 1999. Processing and Interpretation ofLong-Term Data From Permanent Downhole Pressure Gauges. Paper SPE 56419presented at the SPE Annual Technical Conference and Exhibition, Houston, 3-6October. http://dx.doi.org/10.2118/56419-MS.
Behouneck, M. 2004. Lessons Learned in Justifying KM Project. Paperpresented at the Digital Energy Conference, Houston, 7 April.
Bergen, F.E., Lagerlef, D.L., and Feldman, S. 1997. Three-Phase Well-Level ProductionAllocation at Prudhoe Bay. SPECA 9 (2): 55-60.SPE-35674-PA. http://dx.doi.org/10.2118/35674-PA.
Boone, D. 2000. The Digital Oil Field. Paper presented at the Digital EnergyConference, Houston, 7 April.
Boone, D. 2004. Smart Sensors Automate Wells. Hart's E&P77 (6): 61-62.
Bruni, T., Lentini, A., Ventura, S., Gheller, R., Maybee, C.A., and Pinedo,J.E. 2003. A Technically Rigorousand Fully Automated System for Performance Monitoring and Production TestValidation. Paper SPE 84881 presented at the SPE International Improved OilRecovery Conference in Asia Pacific, Kuala Lumpur, 20-21 October.http://dx.doi.org/10.2118/84881-MS.
Chalatumyk, R. and Moffatt, T. 1995. Permanent Instrumentation forProduction Optimization and Reservoir Management. Paper SPE 30274 presentedat the SPE International Heavy Oil Symposium, Calgary, 19-21 June.http://dx.doi.org/10.2118/30274-MS.
Correa, J.F., Santos, O.G., and Inazumi, P.C. 2001. Intelligent Automation forIntermittent-Gas-Lift Oil Wells. Paper SPE 69404 presented at the SPE LatinAmerican and Caribbean Petroleum Engineering Conference, Buenos Aires, 25-28March. http://dx.doi.org/10.2118/69404-MS.
Cramer, R., Al-Hinai, A., and Dunham, C. 1998a. The Use of Real-TimeAutomation to Further Production System Optimization in the OilIndustry.World Oil 219 (10): 76-77.
Cramer, R., Al-Hinai, A., and Dunham, C. 1998b. Real-Time AutomationOptimizes Production Economics in Oman. World Oil 219 (10):76-77.
Darley, J. 2003. The Smart Field of Future. Paper presented at the DigitalEnergy Conference, Houston, 26 February.
De Jonge, G., Stundner, M., and Zangl, G. 2003. Automated Reservoir SurveillanceThrough Data Mining Software. Paper SPE 83974 presented at SPE OffshoreEurope, Aberdeen, 2-5 September. http://dx.doi.org/10.2118/83974-MS.
Decou, R. and Grubb, A. 2004. El Paso's Experience in Decision-Making UsingReal-Time Data. Paper presented at the Digital Energy Conference,Houston, 7 April.
Han, J. and Ajayi, A. 2003. Quantify the Value of Intelligent Wells—A CaseStudy. Paper presented at the High-Tech Wells Conference and Exhibition,Galveston, Texas, 11-13 February.
Hedrick, S. and Phillips, S. 2003. Well Optimization Extends Life ofReservoir. Hart's E&P 77 (5): 65-67.
Hidayat, N., Mada, A.G., Muchsan, A., and Ismayadi, B. 1999. Implementation of CompanywideProduction Monitoring System. Paper SPE 54297 presented at the SPE AsiaPacific Oil and Gas Conference and Exhibition, Jakarta, 20-22 April.http://dx.doi.org/10.2118/54297-MS.
Inland, T. 2004. i-Field: Moving towards Real Time Asset Management. Paperpresented at Oil & Gas IQ's 3rd Annual Conference on Real-Time Oil FieldManagement, Aberdeen, 23-24 February.
Johnson, D., Sheyeh, I.J., Barkhouse, W.N., and Young, J.V. 2003. The Instrumented OilField and Emerging Measurement Technologies. OTC 15075 presented at theOffshore Technology Conference, Houston, 5-8 May.
Liao, T. 2003. Sustaining Integrated Asset Modelling. Paper presented atPetex User Meeting, Edinburgh, Scotland, 17-20 June.
Litvak, M., Hutchins, L.A., Skinner, R.C., Darlow, B.L., Wood, R.C., andSwest, L.J. 2002. Prudhoe BayE-Field Production Optimization System Based on Integrated Reservoir andFacility Simulation. Paper SPE 77643 presented at the SPE Annual TechnicalConference and Exhibition, San Antonio, 29 September-2 October.http://dx.doi.org/10.2118/77643-MS.
McKie, C.J.N., Rojas, E.A., Quintero, N.M., Chacon Fornesca, J.R., andPerozo, N.J. 2001. EconomicBenefits From Automated Optimization of High-Pressure Gas Usage in an OilProduction System. Paper SPE 67187 presented at the SPE Production andOperations Symposium, Oklahoma City, Oklahoma, 24-27 March.http://dx.doi.org/10.2118/67187-MS.
Moyes. R. et al. 2002. Web-Enabling Plant and Production Information. Paperpresented at the 81st Gas Processing Assn. Conference, Dallas.
Nyhavn, F., Vassenden, F., and Singstad, P. 2000. Reservoir Drainage with DownholePermanent Monitoring and Control System: Real-Time Integration of DynamicReservoir Performance Data and Static Reservoir Model Improves ControlDecisions. Paper SPE 62937 presented at the SPE Annual Technical Conferenceand Exhibition, Dallas, 1-4 October.http://dx.doi.org/10.2118/62937-MS.
Oberwinkler, C. and Stundner, M. 2005. From Real-Time Data to ProductionOptimization. SPEPF 20 (3): 229-239. SPE-87008-PA.http://dx.doi.org/10.2118/87008-PA.
Palen, W. and Goodwin, A. 1996. Increasing Production in a MatureBasin: "The Choke Model." Paper SPE 36848 presented at the SPE EuropeanPetroleum Conference, Milan, Italy, 22-24 October.http://dx.doi.org/10.2118/36848-MS.
Reeves, D., Harvey, R. Jr., and Smith, T. 2003. Gas Lift Automation: Real-Time Datato Desktop for Optimizing an Offshore Gulf of Mexico Platform. Paper SPE84166 presented at the SPE Annual Technical Conference and Exhibition, Denver,5-8 October. http://dx.doi.org/10.2118/84166-MS.
Richardson, S. et al. 2004. Real-Time Data Management Boosts Production,Reservoir Knowledge. World Oil 225 (2): 93-94.
Saputelli, L.A., Mochizuki, S., Hutchins, L. et al. 2003. Promoting Real-Time Optimization ofHydrocarbon Producing Systems. Paper SPE 83978 presented at SPE OffshoreEurope, Aberdeen, 3-4 September. http://dx.doi.org/10.2118/83978-MS.
Sisk, C. 2004. BP's Experience in Real-Time Well Optimization. Paperpresented at the Digital Energy Conference, Houston, 7 April.
SPE Forum Series in North America. 2001. Reconciling Real-Time ProductionOptimization with Reservoir Management. Park City, Utah, 29 July-3 August.
Stenhouse, B. and Goodwin, S. 2004. Barriers to Delivering Value From ModelBased Gas Field Production Optimisation. Paper presented at the Gas ProcessingAssn. Conference, Dublin, 20 May.
Stoisits, R.F., Crawford, K.P., MacAllister, P.J., McCormack, M.D., Lawal,A.S., and Ogbe, P.O. 1999. Production Optimization at theKuparuk River Field Utilizing Neural Networks and Genetic Algorithms. PaperSPE 52177 presented at the SPE Mid-Continent Operations Symposium, OklahomaCity, Oklahoma, 28-31 March. http://dx.doi.org/10.2118/52177-MS.
Stoisits, R.F., Schorer, P.W., and Schmidt, S.E. 1994. Gas Optimization at the Kuparuk RiverField. Paper SPE 28467 presented at the SPE Annual Technical Conference andExhibition, New Orleans, 25-28 September.http://dx.doi.org/10.2118/28467-MS.
Thrasher, T.S. 1997. ASynergistic Approach to Well Performance Monitoring. Paper SPE 38984presented at the SPE Latin American and Caribbean Petroleum EngineeringConference, Rio de Janeiro, 30 August-3 September.http://dx.doi.org/10.2118/38984-MS.
Truschinger, J. 2004. Focus on People. Paper presented at the Digital EnergyConference, Houston, 7 April.
Ursem, L., Williams, J.H., Pullerin, N.M., and Kaminski, D.H. 2003. Real-Time Operations Centers: ThePeople Aspects of Drilling Decision Making. Paper SPE/IADC 79893 presentedat the SPE/IADC Drilling Conference, Amsterdam, 19-21 February.http://dx.doi.org/10.2118/79893-MS.