Real-Time Diagnostics of Gas Lift Systems Using Intelligent Agents: A Case Study
- Greg Stephenson (Occidental Petroleum Corporation) | Roman Molotkov (Weatherford International) | Neil De Guzman (Intelligent Agents Corporation) | Larry Lafferty (Intelligent Agents Corporation)
- Document ID
- Society of Petroleum Engineers
- SPE Production & Operations
- Publication Date
- February 2010
- Document Type
- Journal Paper
- 111 - 123
- 2010. Society of Petroleum Engineers
- 4.2 Pipelines, Flowlines and Risers, 5.4.2 Gas Injection Methods, 5.6.4 Drillstem/Well Testing, 7.6.6 Artificial Intelligence, 1.10.1 Drill string components and drilling tools (tubulars, jars, subs, stabilisers, reamers, etc), 5.1.1 Exploration, Development, Structural Geology, 3.1.6 Gas Lift, 6.1.5 Human Resources, Competence and Training, 4.1.5 Processing Equipment, 4.1.2 Separation and Treating, 3.1 Artificial Lift Systems, 5.1.2 Faults and Fracture Characterisation, 4.3 Flow Assurance, 2.3.4 Real-time Optimization, 2.2.2 Perforating, 3.1.7 Progressing Cavity Pumps, 3.1.2 Electric Submersible Pumps, 5.6.5 Tracers
- diagnostics, intelligent agents, real time, gas lift, troubleshooting
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- 1,083 since 2007
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This paper describes a new method to continuously monitor and diagnose the condition of wells producing through continuous gas lift. The paper describes the application of this system in a mature onshore gas lift field in the western United States and the results obtained. A central problem related to the operation of gas lift wells is the ability to identify underperforming wells and to address the underlying issues appropriately and in a timely manner. This problem is compounded by the trend toward leaner operations and relative scarcity of application-specific domain knowledge. The purpose of this method is to address these issues by leveraging real-time data, gas lift domain expertise, and proven steady-state analysis techniques in a desktop software application.
This system performs four key functions: Monitoring the wells' condition by collecting data, assessing the meaning of these data, recommending actions for correcting problems and responding to threats, and explaining recommendations.
The performance of the system has met initial expectations and has provided additional unforeseen benefits. This paper cites specific cases that compare agent predictions to expert diagnoses and quantify the benefits of taking the recommended actions. What was found was that while the correct diagnoses of well performance issues was beneficial, the real benefit was in allowing production engineers to analyze a greater number of wells in far less time. To that end, the paper will discuss the role of this system as it relates to the overall production management workflow.
The success of this project has demonstrated that intelligent agents can effectively perform functions historically performed by a handful of experts. The paper will discuss key system design features that enable this level of functionality as well as other potential areas in which the technology can be extended in the future.
|File Size||1 MB||Number of Pages||13|
API RP 11V5, Operation, Maintenance, Surveillance, and Troubleshooting ofGas-Lift Installations, second edition. 1999. Washington, DC: API.
Broadwell, M. 1998. Pilot's Associate: The Intelligent Edge. Presented atLokTec X, The Annual Lockheed Technical Symposium, Washington, DC,November.
Brulé, M., Charalambous, Y., Crawford, M.L., and Crawley, C. 2008. Bridging the Gap Between Real-TimeOptimization and Information-Based Technologies. Paper SPE 116758 presentedat the SPE Annual Technical Conference and Exhibition, Denver, 24-24 September.doi: 10.2118/116758-MS.
Edwards, G.R. and Geddes, N.D. 1991. Deriving a Domain-IndependentArchitecture for Associate Systems From Essential Elements of AssociateBehavior. In Associate Technology: Opportunity and Challenges, ed. P.E.Lehner, 17-29. Fairfax County, Virginia: George Mason University.
Gas Lift Design and Technology course manual, Chap. 6, 2-3. 1999. Houston,Texas: Schlumberger Oilfield Services.
Geddes, N.D. and Sewell, D.R. 1990. A Plan and Goal Based Method forComputer-Human Design. In Human-Computer Interaction--INTERACT '90:Proceedings of the IFIP TC13 Third International Conference on Human-ComputerInteraction, Cambridge, UK, 27-31 August, 1990, ed. D. Diaper, D.J.Gilmore, G. Cockton, and B. Shackel, 283-288. Amsterdam, The Netherlands:North-Holland Publishing Company.
Geddes, N.D., Brown, J.L., Beamon, W.S. III, and Wise, J.A. 1996. A shared model of intentionsfor Free Flight. Proc., 15th AIAA/IEEE Digital Avionics SystemsConference, Atlanta, Georgia, USA, 27-31 October, 179-184. doi:10.1109/DASC.1996.559154.
Geddes, N.D., Smith, D.M., and Lizza, C.S. 1998. Fostering collaboration insystems of systems. Proc., 1998 IEEE International Conference onSystems, Man, and Cybernetics, Vol. 1., 950-954. doi:10.1109/ICSMC.1998.725538.
Hall, J.W. and Decker, K.L. 1996. Gas-Lift Unloading and OperatingSimulation as Applied to Mandrel Spacing and Valve Design. Paper SPE 29450presented at the SPE Production Operations Symposium, Oklahoma City, Oklahoma,USA, 2-4 April. doi: 10.2118/29450-MS.
Hite, J.R., Crawley, C., Deaton, D.F., Farid, K., and Sternevsky, M. 2007.Barriers to Implementation ofReal-Time Operations Technology. Paper SPE 110236 presented at the SPEAnnual Technical Conference and Exhibition, Anaheim, California, USA, 11-14November. doi: 10.2118/110236-MS.
Kanu, E.P., Mach, J., Brown, K.E. 1981. Economic Approach to Oil Poductionand Allocation in Continuous Gas Lift. J. Pet Tech 33(10): 1887-1892. SPE-9084-PA. doi: 10.2118/9084-PA.
Litvak, M.L., Hutchins, L.A., Skinner, R.C., Darlow, B.L., Wood, R.C., andKuest, 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, Texas, USA, 29 September - 2 October.doi: 10.2118/77643-MS.
Mach, J., Proano, E., and Brown, K.E. 1979. A Nodal Approach for ApplyingSystems Analysis to the Flowing and Artificial Lift Oil or Gas Well. Paper SPE8025 available from SPE, Richardson, Texas.
Mantecon, J.C. 2007. TheVirtual Well: Guidelines for the Application of Dynamic Simulation to OptimizeWell Operations, Life Cycle Design, and Production. Paper SPE 109829presented at the SPE Annual Technical Conference and Exhibition, Anaheim,California, USA, 11-14 November. doi: 10.2118/109829-MS.
Mayhill, T.D. 1974. SimplifiedMethod for Gas-Lift Well Problem Identification and Diagnosis. Paper SPE5151 presented at the Fall Meeting of the Society of Petroleum Engineers ofAIME, Houston, 6-9 October. doi: 10.2118/5151-MS.
McKie, C.J.N., Rojas, E.A., Quintero, N.M., Chacón Fonseca, J.R., and Perozo,N.J. 2001. Economic Benefits FromAutomated Optimization of High Pressure Gas Usage in an Oil ProductionSystem. Paper SPE 67187 presented at the SPE Production OperationsSymposium, Oklahoma City, Oklahoma, USA, 24-27 March. doi:10.2118/67187-MS.
Mochizuki, S., Saputelli, L.A., Kabir, C.S., Cramer, R., Lochmann, M.J.,Reese, R.D., Harms, L.K., Sisk, C.D., Hite, J.R., and Escorcia, A. 2006. Real-Time Optimization:Classification and Assessment. SPE Prod & Oper 21(4): 455-466. SPE-90213-PA. doi: 10.2118/90213-PA.
Nadar, M.S., Kulkarni, R., Lemanczyk, Z.R., and Aggarwal, P. 2006. Development of an IntegratedProduction Network Model for the Heera Field. Paper SPE 101089 presented atthe SPE Asia Pacific Oil and Gas Conference and Exhibition, Adelaide,Australia, 11-13 September. doi: 10.2118/101089-MS.
Nadar, M.S., Schneider, T.S., Jackson, K.L., McKie, C.J.N., and Hamid, J.2008. Implementation of aTotal-System Production-Optimization Model in a Complex Gas-Lifted OffshoreOperation. SPE Prod & Oper 23 (1): 5-13.SPE-103670-PA. doi: 10.2118/103670-PA.
Ortiz, J.L. 1990. Gas-LiftTroubleshooting Engineering: An Improved Approach. Paper SPE 20674presented at the SPE Annual Technical Conference and Exhibition, New Orleans,23-26 September. doi: 10.2118/20674-MS.
Peringod, C., Clark, J., Barboussat, D., Peacock, L., and Holloway, J. 2009.Gaslift diagnosis using WellTracersurvey--successful trials in 20 wells of Petroleum Development Oman. Paperpresented at 32nd Annual ASME/API/ISO Gas-Lift Workshop, The Hague, 2-6February. doi: 10.2118/124926-MS.
Russell, S. and Norvig, P. 2003. Artificial Intelligence: A ModernApproach, second edition, Chap. 2, http://aima.cs.berkeley.edu/. UpperSaddle River, New Jersey: Series in Artificial Intelligence, Prentice Hall.
Strategic Computing. New-Generation Computer Technology: A Strategic Planfor Its Development and Application to Critical Problems in Defense. 1983.Technical Report, Accession No. AD-A141 982, Defense Advanced Research ProjectsAgency, Arlington, Virginia (28 October 1983).