Mechanistic Leak-Detection Modeling for Single Gas-Phase Pipelines: Lessons Learned from Fit to Field-Scale Experimental Data
The use of pipelines is one of the most popular ways of delivering gas phases as shown by numerous examples in hydrocarbon transportation systems in Arctic regions, oil and gas production facilities in onshore and offshore wells, and municipal gas distribution systems in urban areas. A gas leak from pipelines can cause serious problems not only because of the financial losses associated but also its social and environmental impacts. Therefore, establishing an early leak detection model is vital to safe and secure operations of such pipeline systems.
A leak detection model for a single gas phase is presented in this study by using material balance and pressure traverse calculations. The comparison between two steady states, with and without leak, makes it possible to quantify the magnitude of disturbance in two leak detection indicators such as the change in inlet pressure (ΔPin) and the change in outlet flow rate (Δqout) in a broad range of leak locations (xleak) and leak opening sizes (dleak).
The results from the fit to large-scale experimental data of Scott and Yi (1998) show that the value of leak coefficient (CD), which is shown to be the single-most important but largely unknown parameter, ranges from 0.55 to 4.11, and should be a function of Reynolds number (NRe) which is related to leak characteristics such as leak location (xleak), leak opening size (dleak), leak rate (qleak) and system pressure. Further investigations show that between the two leak detection indicators, the change in outlet flow rate (Δqout) is superior to the change in inlet pressure (ΔPin) because of larger disturbance, if the pressure drop along the pipeline is relatively small compared to the outlet pressure; otherwise, the change in inlet pressure (ΔPin) is superior to the change in outlet flow rate (Δqout).
Key words: Leak; Leak detection modeling; Pipeline; Leak coefficient; Gas flow in pipe
 Arnold, K., & Stewart, M. (1999). Surface Production Operations (Volume 2). Houston, Tx: Gulf Publishing Company.
 Ashford, F. E., & Pierce, P. E. (1975). Determining Multiphase Pressure Drops and Flow Capacities in Down-Hole Safety Valves. Journal of Petroleum Technology, 27(9), 1145-1152.
 Berton, J. (2010). San Bruno’s 8th Fatality from PG&E Blast. San Francisco Chronicle. Retrieved from http://www.sfgate.com/cgi-bin/article.cgi?f=/c/a/2010/09/28/BAIQ1FKVE5.DTL&type=health
 Chen, N. H. (1979). An Explicit Equation for Friction Factor in Pipe. Ind. Eng. Chem. Fundam., 18(3), 296-297.
 Crane Company. (1957). Flow of Fluids Through Valves, Fittings, and Pipe (TP 410). New York, N.Y.
 Danesh, A. (1998). PVT and phase behaviour of petroleum reservoir fluids. Amsterdam: Elsevier.
 Dranchuk, P. M., & Abou-Kassem, J. H. (1975). Calculation of z-Factors for Natural Gases Using Equations of State. Journal of Canadian Petroleum Technology, 14(3), 34-36.
 Gajbhiye, R. N., & Kam, S. I. (2008). Leak Detection in Subsea Pipeline: a Mechanistic Modeling Approach with Fixed Pressure Boundaries. SPE Projects, Facilities, and Construction, 3(4), 1–10.
 Guo, B., Lyons, W. C., & Ghalambor, A. (2007). Petroleum Production Engineering, a Computer-Assisted Approach. Gulf Professional Publishing.
 Guo, B., Al-Bemani, A. S., & Ghalambor, A. (2002). Applicability of Sachdeva’s Choke Flow Model in Southwest Louisiana Gas Condensate Wells. Paper Presented at the SPE Gas Technology Symposium, Calgary, Alberta.
 Gilbert, W. E. (1954). Flowing and Gas-Lift Well Performance. Drill. & Prod. Practice, 126.
 Hoeffel, J., Hennessy-Fiske, M., & Goffard, C. (2010). San Bruno Explosion Death Toll Climbs to Seven; Six are Missing. Los Angeles Times. Retrieved from http://www.latimes.com/news/local/la-me-0912-san-bruno-explosion-20100912,0,251794.story
 Ishibashi, M., & Takamoto, M. (2000). Theoretical Discharge Coefficient of a Critical Circular-Arc Nozzle with Laminar Boundary Layer and Its Verification by Measurements Using Super-Accurate Nozzles. Flow Measurement and Instrumentation, 11(4), 305-313.
 Kam, S. I. (2010). Mechanistic Modeling of Pipeline Leak Detection at Fixed Inlet Rate. Journal of Petroleum Science and Engineering, 70(3), 145-156.
 Kim, J. H., Kim, H. D., & Park, K. A. (2006). Computational/Experimental Study of a Variable Critical Nozzle Flow. Flow Measurement and Instrumentation, 17, 81-86.
 Lee, A., Gonzalez, M. H., & Eakin, B. E. (1966). The Viscosity of Natural Gases. Journal of Petroleum Technology, 18(8), 997-1000.
 Minerals Management Services. (2009). Gulf of Mexico oil and gas production forecast: 2009-2018 (OCS Report MMS 2009-012). Retrieved from http://www.gomr.boemre.gov/
 Moody, L. F. (1944). Friction Factors for Pipe Flow. Transactions of the ASME, 66(8), 671–684.
 Morris, S. D. (1996). Choke Pressure in Pipeline Restrictions. Journal of Hazardous Materials, 50(1), 65–69.
 Papadakis, G. A., Porter, S., & Wettig, J. (1999). EU Initiative on the Control of Major Accident Hazards Arising from Pipelines. Journal of Loss Prevention in the Process Industries, 12(1), 85-90.
 Papadakis, G. A. (1999). Major Hazard Pipelines: a Comparative Study of Onshore Transmission Accidents. Journal of Loss Prevention in the Process Industries, 12(1), 91-107.
 Payne, M. L. (2007). Deepwater Activity in the US Gulf of Mexico Continues to Drive Innovation and Technology. Exploration & Production: The Oil and Gas Review 2007 - OTC Edition.
 Richardson, S. M., Saville, G., Fisher, A., Meredith, A. J., & Dix, M. J. (2006). Experimental Determination of Two-Phase Flow Rates of Hydrocarbons Through Restrictions. Process Safety and Environmental Protection, 84(1), 40-53.
 Richardson, G. E., Nixon, L. D., Bohannon, C. M., Kazanis, E. G., Montgomery, T. M., & Gravois, M. P. (2008). Deepwater Gulf of Mexico 2008: America’s Offshore Energy Future. U.S. Dept. of the Interior, Minerals Management Service, Gulf of Mexico OCS Region, New Orleans, LA.
 Ros, N. C. J. (1960). An Analysis of Critical Simultaneous Gas/Liquid Flow Through a Restriction and Its Application to Flowmetering. Applied Scientific Research, 9(1), 374-388.
 Rosen, Y., & Schneyer, J. (2011). Alaska Pipeline Restart Unknown; Oil up, BP Dips. Reuters. Retrieved from http://www.reuters.com/article/2011/01/10/us-oil-pipeline-alaska-idUSTRE7080H820110110
 Sachdeva, R., Schmidt, Z., Brill, J. P., & Blais, R. M. (1986, October). Two-Phase Flow Through Chokes. Paper Presented at the SPE Annual Technical Conference and Exhibition, New Orleans, Louisiana.
 Scott, S. L, & Barrufet, M. A. (2003). Worldwide Assessment of Industry Leak Detection Capabilities for Single & Multiphase Pipelines (PB2011-104131). Minerals Management Service.
 Scott, S. L., & Yi, J. (1998). Detection of Critical Flow Leaks in Deepwater Gas Flowlines. Paper Presented at the SPE Annual Technical Conference and Exhibition, New Orleans, LA.
 Simonoff, J. S., Restrepo, C. E., & Zimmerman, R. (2010). Risk Management of Cost Consequences in Natural Gas Transmission and Distribution Infrastructures. Journal of Loss Prevention in the Process Industries, 23(2), 269-279.
 U.S. Department of Transportation’s Pipeline and Hazardous Materials Safety Administration. (2010). PHMSA significant incident files. Retrieved from www.phmsa.dot.gov
 Wang, S., & Carroll, J. J. (2007). Leak Detection for Gas and Liquid Pipelines by Transient Modeling. SPE Projects, Facilities & Construction, 2(2), 1-9.
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