Zakikhani, Kimiya (2020) Failure prediction and availability-based maintenance planning of gas transmission pipelines. PhD thesis, Concordia University.
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Abstract
As the most frequent failure source, external corrosion has led to more than 1700 failures in gas transmission pipelines in US since 1996, causing a property damage of approximately $189M. Such numbers highlight the importance of maintaining gas transmission pipelines in safe conditions to postpone corrosion failures. As the most widely applied method of corrosion monitoring technique, in-line inspection is expensive and time-consuming due to requiring high frequencies. On the other hand, the recent efforts directed towards developing failure prediction or maintenance planning models for oil and gas pipelines seem to have some limitations. As such, most of the failure prediction models are based on limited number of inspection or historical records or are limited in application due to their subjectivity. Furthermore, in the domain of maintenance planning, the current procedures are merely based on considering the associated costs and safety thresholds in the decision-making process. Such methodologies do not address the importance of pipeline availability and continuation of operation as a critical asset in the selection of the maintenance strategy.
This research has two main objectives. As the first objective, the proposed research aims to develop historical data-based failure prediction models for gas transmission pipelines by considering geo-environmental features. As the second objective, this research aims to propose a reliability-centered availability-based maintenance planning framework that considers the criticality of pipeline operation.
For these objectives, a detailed literature review was carried out on current methodologies to predict failures in oil and gas pipelines and maintain them. As the most important limitations, current failure prediction models do not consider geographical and environmental properties of pipelines to predict failures. On the other hand, in maintenance planning scope, none of current practices highlight importance of pipeline operation and availability in making the proper decision. In addition, these methodologies are often subjective, i.e. they are merely applicable to limited pipelines. To overcome these limitations the mentioned objectives of this research were defined and failure and maintenance data were collected from accessible historical records and reports. The failure prediction models were developed from best-subset and multiple regression analyses on the historical failure data and were then validated. On the other hand, the maintenance planning framework was developed from a coupled cost and availability-based maintenance planning procedure on different maintenance scenarios. For each scenario, a discrete event simulation was carried out through MATLAB programming. Such simulation was performed on the pipeline reliability profile obtained from a Monte Carlo simulation and consideration of improvement in availability per unit cost as the decision criteria. Monte Carlo simulation was carried out to consider wide range of design parameters for development of the reliability profile.
The developed failure prediction models were able to satisfactory predict time of corrosion failures in gas transmission pipelines for Great Plains and South East Regions of the U.S. These models were validated with mean absolute error (MAE) and root mean square error (RMSE) of 0.12 and 0.04, for Great Plains, and 0.11 and 0.07, for South East regional classifications, respectively. The proposed maintenance planning framework reveals that for a case study of a 24-inch pipeline, considering an availability-cost indicator, the second maintenance scenario, with interventions at the service life of 30.1 and 40.5 years is more effective. This order is followed by the first scenario with interventions at service life of 33.3 and 42.2 years, and finally the third scenario with intervention at service life of 24.2 years, respectively.
The developed failure prediction models can assist decision makers and pipeline operators to predict the expected time of corrosion failure in gas transmission pipelines in the selected regions by considering geo-environmental and pipeline design parameters. In addition, for maintenance planning of oil and gas pipelines, this research proposes a novel methodology that considers oil and gas pipelines as critical assets for which continued operation is of high importance. Such consideration provides a compensation between the costs incurred and pipeline availability to avoid over/under maintenance.
| Divisions: | Concordia University > Gina Cody School of Engineering and Computer Science > Building, Civil and Environmental Engineering |
|---|---|
| Item Type: | Thesis (PhD) |
| Authors: | Zakikhani, Kimiya |
| Institution: | Concordia University |
| Degree Name: | Ph. D. |
| Program: | Building Engineering |
| Date: | 28 May 2020 |
| Thesis Supervisor(s): | Nasiri, Fuzhan and Zayed, Tarek |
| Keywords: | oil, gas, pipeline, corrosion, failure, prediction, maintenance planning, availability, reliability |
| ID Code: | 987079 |
| Deposited By: | KIMIYA ZAKIKHANI |
| Deposited On: | 30 Jun 2021 15:02 |
| Last Modified: | 01 Jul 2021 01:01 |
References:
A.N.S. Institute. (1991). Manual for determining the remaining strength of corroded pipelines: a supplement to asme b31 code for pressure piping. American Society of Mechanical Engineers, .AEA Technology Consulting. (2001). "Temporary/permanent pipe repair - Guidelines." Rep. No. 2001/58, Health and Safety Executive (HSE), Sudbury, UK.
Alfon, P., Soedarsono, J., Priadi, D., and Sulistijono, S. (2012). "Pipeline material reliability analysis regarding to probability of failure using corrosion degradation model." Advanced Materials Research, Trans Tech Publications, 705-715.
Aljaroudi, A., Thodi, P., Akinturk, A., Khan, F., and Paulin, M. (2014). "Application of probabilistic methods for predicting the remaining life of offshore pipelines." 10th International Pipeline Conference, American Society of Mechanical Engineers, .
Altuger, G., and Chassapis, C. (2009). "Multi criteria preventive maintenance scheduling through arena based simulation modeling." Winter Simulation Conference, Winter Simulation Conference, TX, USA, 2123-2134.
ASME B31.8. (2018). Gas Transmission and Distribution Piping Systems: ASME Code for Pressure Piping. American Society of Mechanical Engineers, .
ASME B31.8S. (2015). Managing System Integrity of Gas Pipelines, Supplement to ASME 831.8. American Society of Mechanical Engineers, NewYork, USA.
Baker, M. (2008). "Pipeline corrosion. final report submitted to the US department of transportation pipeline and hazardous materials safety administration." Washington, DC, USA, .
Bansode, V., Vagge, S., and Kolekar, A. (2015). "Relationship between Soil Properties and Corrosion of Steel Pipe in Alkaline Soils." Metallurgy and Material Science, 2(11), 57-61.
Barringer, H. (1997). "Availability, reliability, maintainability, and capability." Triplex Chapter of the Vibrations Institute.: Barringer and Associated Inc., Humble, TX, USA.
Beavers, J. A., and Thompson, N. G. (2006). "External corrosion of oil and natural gas pipelines." ASM International Materials Park, Ohio, USA, 1015-1025.
Bersani, C., Citro, L., Gagliardi, R., Sacile, R., and Tomasoni, A. (2010). "Accident occurrance evaluation in the pipeline transport of dangerous goods." Chemical Engineering Transactions, 249-254.
Bertolini, M., and Bevilacqua, M. (2006). "Oil pipeline spill cause analysis: A classification tree approach." Journal of Quality in Maintenance Engineering, 12(2), 186-198.
Billinton, R., and Allan, R. (1992). Reliability evaluation of engineering systems. Springer, Newyork, USA.
Caleyo, F., Velázquez, J., Valor, A., and Hallen, J. (2009). "Probability distribution of pitting corrosion depth and rate in underground pipelines: A Monte Carlo study." Corrosion Science, 51(9), 1925-1934.
CAPP. (2018). "Mitigation of External Corrosion on Buried Carbon Steel Pipeline Systems, ." The Canadian Association of Petroleum Producers, .
Chou, Z., Cheng, J., and Zhou, J. (2010). "Prediction of Pipe Wrinkling Using Artificial Neural Network." 2010 8th International Pipeline Conference, American Society of Mechanical Engineers, 49-58.
Cobanoglu, M., Kermanshachi, S., and Damnjanovic, I. (2014). "Statistical modeling of corrosion failures in natural gas transmission pipelines." Pipelines 2016, ASCE, 195-204.
Cosham, A., Haswell, J., and Jackson, N. (2008). "Reduction factors for estimating the probability of failure of mechanical damage due to external interference." 7th International Pipeline Conference, American Society of Mechanical Engineers, Calgary, Alberta, Canada, 373-388.
Cosham, A., and Hopkins, P. (2003). "The assessment of corrosion in pipelines–Guidance in the pipeline defect assessment manual (PDAM)." International Colloquium Reliability of High Pressure Steel Pipelines, 1-30.
Cronin, D., and Pick, R. (2000). "A new multi-level assessment procedure for corroded line pipe." 3rd International Pipeline Conference, American Society of Mechanical Engineers, Calgary, Alberta, Canada, V002T06A014-V002T06A014.
D.N. Veritas. (2004). "Recommended Practice DNV-RP-F101 Corroded Pipelines." Det Norske Veritas, Norway.
D.N. Veritas. (1999). "DNV-RP-F101 Corroded Pipelines." Det Norske Veritas, Norway.
Davis, M., Dubois, J., Gambardella, F., and Uhlig, F. (2010). "Performance of European cross-country oil pipelines: Statistical summary of reported spillages in 2008 and since 1971." CONCAWE Oil Pipelines Management Group, Special Task Force, Brussels.
Dey, P., Ogunlana, S., and Naksuksakul, S. (2004). "Risk‐based maintenance model for offshore oil and gas pipelines: a case study." Journal of Quality in Maintenance Engineering, 10(3), 169-183.
Dundulis, G., Žutautaitė, I., Janulionis, R., Ušpuras, E., Rimkevičius, S., and Eid, M. (2016). "Integrated failure probability estimation based on structural integrity analysis and failure data: Natural gas pipeline case." Reliability Engineering and System Safety, 156 195-202.
EGIG. (2015). "European Gas Pipeline Incident Data Group, Gas pipeline incidents, 9th Report of the European Gas Pipeline Incident Data Group (period 1970 – 2013)." .
EPA. (2005). "composite wrap for non-leaking pipeline defects." Environmental protection agency, USA.
Fessler, R. R. (2008). "Pipeline corrosion." US Department of Transportation Pipeline and Hazardous Materials Safety Administration, Evanston,IL, USA.
Gomes, W., Beck, A., and Haukaas, T. (2013). "Optimal inspection planning for onshore pipelines subject to external corrosion." Reliability Engineering and System Safety, 118(2), 18-27.
Goodfellow, G., and Haswell, J. (2006). "A comparison of inherent risk levels in ASME B31. 8 and UK gas pipeline design codes." 2006 International Pipeline Conference, American Society of Mechanical Engineers, Calgary, Alberta, Canada, 1085-1096.
Goodfellow, G., Haswell, J., Jackson, N., and Ellis, R. (2014). "Revision to the UK Pipeline Quantitative Risk Assessment Guidelines IGEM/TD/2 and PD 8010-3." 2014 10th International Pipeline Conference, American Society of Mechanical Engineers, Calgary, Alberta, Canada, .
Goodfellow, G., Lyons, C., Turner, S., Gray, F., and Joyce, S. (2018). "An Update to the Recommended UKOPA External Interference Frequency Prediction Model and Pipeline Damage Distributions." 2018 12th International Pipeline Conference, American Society of Mechanical Engineers, V002T07A029-V002T07A029.
C. IBM. (2012). "IBM SPSS Missing Values 21." http://www.sussex.ac.uk/its/pdfs/SPSS_Missing_Values_21.pdf (Dec/1, 2017).
Ismail, A., and El-Shamy, A. (2009). "Engineering behaviour of soil materials on the corrosion of mild steel." Journal of Applied Clay Science, 42(3-4), 356-362.
Jaske, C., Hart, B., and Bruce, W. (2006). Pipeline repair manual, prepared for Pipeline Research Council International, Inc. Technical Toolboxes, Inc., Houston, Texas.
Kiefner, F., Maxey, W., Eiber, R., and Duffy, A. (1973). "Failure stress levels of flaws in pressurized cylinders." Progress in flaw growth and fracture toughness testing, American Society for Testing Materials, 461-481.
Kiefner, F., and Vieth, H. (1989). "A modified criterion for evaluating the remaining strength of corroded pipe." Rep. No. PR-3-805, Battelle Columbus Div., OH (USA).
Kiefner, J., and Vieth, P. (1989). "A Modified Criterion for Evaluating the Remaining Strength of Corroded Pipe." Rep. No. No. PR-3-805, Battelle Columbus Div., OH (USA), .
Kim, D., Mohd, M., Lee, B., Kim, D., Seo, J., Kim, B., and Paik, J. (2013). "Investigation on the burst strength capacity of aging subsea gas pipeline." 32nd International Conference on Ocean, Offshore and Arctic Engineering, American Society of Mechanical Engineers, Nantes, France, V04AT04A027-V04AT04A027.
Klever, J., Stewart, G., and Valk, C. (1995). "New developments in burst strength predictions for locally corroded pipelines." International conference on offshore mechanics and arctic engineering, , American Society of Mechanical Engineers, Copenhagen (Denmark), .
Kucheryavyi, V., and Mil’kov, S. (2011). "Reliability analysis of a compression section of a gas pipeline with the presence of longitudinal cracks." Journal of Machinery Manufacture and Reliability, 40(3), 290-293.
Ledolter, J., and Hogg, R. V. (1992). Applied statistics for engineers and physical scientists. Macmillan, Newyork, US.
Li, X., Yu, R., Zeng, L., Li, H., and Liang, R. (2009). "Predicting corrosion remaining life of underground pipelines with a mechanically-based probabilistic model." Journal of Petroleum Science and Engineering, 65(3), 162-166.
Li, X., Zhu, H., Chen, G., and Zhang, R. (2017). "Optimal maintenance strategy for corroded subsea pipelines." Journal of Loss Prevention in the Process Industries: Part B, 49 145-154.
Liao, K., Yao, Q., Wu, X., and Jia, W. (2012). "A numerical corrosion rate prediction method for direct assessment of wet gas gathering pipelines internal corrosion." Energies, 5(10), 3892-3907.
Little, B., and Lee, J. (2014). "Microbiologically influenced corrosion: an update." Journal International Materials Reviews, 59(7), 384-393.
Luo, Z., Hu, X., and Gao, Y. (2013). "Corrosion Research of Wet Natural Gathering and Transportation Pipeline Based on SVM." International Conference on Pipelines and Trenchless Technology (ICPTT), American Society of Civil Engineers, Xi'an, China, 964-972.
Lyons, C., Haswell, J., Hopkins, P., Ellis, R., and Jackson, N. (2008). "A methodology for the prediction of pipeline failure frequency due to external interference." 7th International Pipeline Conference, American Society of Mechanical Engineers, Calgary, Alberta, Canada, 417-428.
Ma, B., Shuai, J., and Xu, X. (2011). "A study on new edition assessment criteria for the remaining strength of corroded pipeline." International Conference on Pipelines and Trenchless Technology, American Society of Civil Engineers, Beijing, China, 63-72.
NACE International. (2013). "Control of External Corrosion on Underground or Submerged Metallic Piping Systems." Rep. No. RP0169-96, .
NACE International. (2000). "Near-White Metal Blast Cleaning." Rep. No. NACE No. 2/SSPC-SP 10, National Association of Corrosion Engineers (NACE), .
National Energy Board. (2017a). "Canada’s Energy Future 2016: Energy Supply and Demand Projections to 2040." https://www.neb-one.gc.ca/nrg/ntgrtd/ftr/2016/index-eng.html (06/15, 2017).
National Energy Board. (2017b). "Canada’s Pipeline Transportation System 2016." https://www.neb-one.gc.ca/nrg/ntgrtd/trnsprttn/2016/cnds-ppln-trnsprttn-systm-eng.html (06/15, 2017).
National Energy Board. (2016). "Issue: Who Regulates Canada's Pipelines?" https://www.neb-one.gc.ca/bts/nws/rgltrsnpshts/2016/01rgltrsnpsht-eng.html?=undefined&wbdisable=true (July/17, 2017).
Natural Resources Canada. (2014). "Pipeline safety." https://www.nrcan.gc.ca/sites/www.nrcan.gc.ca/files/energy/files/pdf/14-0277-%20PS_pipelines_across_canada_e.pdf (06/19, 2017).
NCDC. (2017). https://www.ncdc.noaa.gov/IPS/cd/cd.html (2017, Sep, .
Nessim, M., Zhou, W., Zhou, J., and Rothwell, B. (2009). "Target reliability levels for design and assessment of onshore natural gas pipelines." Journal of Pressure Vessel Technology, 131(6), 2501-2512.
Nie, X., Li, X., Du, C., and Cheng, Y. (2009). "Temperature dependence of the electrochemical corrosion characteristics of carbon steel in a salty soil." Journal of Applied Electrochemistry, 39(2), 277-282.
Noor, N., Yahaya, N., Ozman, N., and Othman, S. (2010). "The forecasting residual life of corroding pipeline based on semi-probabilistic method." UNIMAS E-Journal of Civil Engineering, 1(2), 1-6.
OGJ. (2001). "Tests, field use support compression sleeve for seam-weld repair." https://www.ogj.com/articles/print/volume-99/issue-24/transportation/tests-field-use-support-compression-sleeve-for-seam-weld-repair.html (March 2019).
Oliveira, N., Bisaggio, H., and Netto, T. (2016). "Probabilistic Analysis of the Collapse Pressure of Corroded Pipelines." 35th International Conference on Ocean, Offshore and Arctic Engineering, American Society of Mechanical Engineers, Busan, South Korea, V005T04A033-V005T04A033.
Orazem, M. (2014). "Underground pipeline corrosion." Woodhead Publishing Series in Metals and Surface Engineering, Elsevier, (No. 63),.
Organ, M., Whitehead, T., and Evans, M. (1997). "Availability-based maintenance within an asset management programme." Journal of Quality in Maintenance Engineering, 3(4), 221-232.
Ossai, C., Boswell, B., and Davies, I. (2016). "Stochastic modelling of perfect inspection and repair actions for leak-failure prone internal corroded pipelines." Engineering Failure Analysis, 60 40-56.
Ossai, C. I., Boswell, B., and Davies, I. J. (2015). "Estimation of internal pit depth growth and reliability of aged oil and gas pipelines-a Monte Carlo simulation approach." Corrosion, 71(8), 977-991.
Palmer-Jones, R., Hopkins, P., and Eyre, D. (2005). "Pipeline rehabilitation planning." Rio pipeline 2005 conference and exposition, Instituto Brasileiro de Petroleo e Gas, Rio de Janeiro, RJ (Brazil), .
Papavinasam, S., Doiron, A., and Revie, R. W. (2010). "Model to predict internal pitting corrosion of oil and gas pipelines." Corrosion, 66(3), 035006-035006-11.
Parvizsedghy, L. (2015). "Risk-based Maintenance Planning Model for Oil and Gas Pipelines". PhD. Concordia University, Montreal, Canada.
Parvizsedghy, L., Senouci, A., Zayed, T., Mirahadi, S., and El-Abbasy, M. (2015). "Condition-based maintenance decision support system for oil and gas pipelines." Structure and Infrastructure Engineering, 11(10), 1323-1337.
Parvizsedghy, L., and Zayed, T. (2015a). "Consequence of Failure: Neurofuzzy-Based Prediction Model for Gas Pipelines." Journal of Performance of Constructed Facilities, 30(4), 04015073.1- 04015073.10.
Parvizsedghy, L., and Zayed, T. (2015b). "Developing failure age prediction model of hazardous liquid pipelines." International Construction Specialty Conference, Canadian society of civil engineers (CSCE), Vancouver, BC., Canada, 285.1-285.10.
Parvizsedghy, L., and Zayed, T. (2013). "Failure prediction model of oil and gas pipelines." 14th International Conference on Civil, Structural and Environmental Engineering Computing, Civil-Comp Press, Cagliari, Sardinia, Italy, 1.
PD 8010. (2015). Code of practice for pipelines, Part 1: Steel pipelines on land. British Standards Institution, .
Pettitt, G., Ramsden, M., and Shackleton, J. (2014). "Benchmarking Consequence Models with Actual Pipeline Events." 10th International Pipeline Conference, American Society of Mechanical Engineers, V003T12A022-V003T12A022.
Pourhosseini, o. (2016). "Availability based maintenance scheduling in Domestic Hot water of HVAC system". Master of science. Concordia University, Montreal, Quebec.
Pourhosseini, O., and Nasiri, F. (2017). "Availability-Based Reliability-Centered Maintenance Scheduling: Case Study of Domestic (Building-Integrated) Hot Water Systems." Journal of Risk and Uncertainty in Engineering Systems, 4(1), 05017001.
Pritchard, O., Hallett, S., and Farewell, T. (2013). "Soil corrosivity in the UK– impacts on critical infrastructure." Infrastructure Transitions Research Consortium, ranfield, England.
PSU. (2017). https://onlinecourses.science.psu.edu/stat501/node/343 (2017, Nov.).
Ramakumar, R. (1993). Engineering reliability: fundamentals and applications. Prentice Hall, Englewood Cliffs, N.J, USA.
Rausand, M., and Vatn, J. (2008). "reliability centred maintenance." Complex system maintenance handbook, Springer Science & Business Media, London, England, 79-108.
Ritchie, D., and Last, S. (1995a). "Burst criteria of corroded pipelines-defect acceptance criteria." Proceedings of the EPRG/PRC 10th Biennial Joint Technical Meeting on Line Pipe Research, British Steel, Cambridge, Uk, .
Ritchie, D., and Last, S. (1995b). "Burst criteria of corroded pipelines-defect acceptance criteria." Proceedings of the EPRG/PRC 10th Biennial Joint Technical Meeting on Line Pipe Research, British Steel, Cambridge, UK.
Sahraoui, Y., Chateauneuf, A., and Khelif, R. (2017). "Inspection and maintenance planning of underground pipelines under the combined effect of active corrosion and residual stress." International Journal of Steel Structures, 17(1), 165-174.
Seevam, P., Lyons, C., Hopkins, P., and Toft, M. (2008). "Modelling of dent and gouges, and the effect on the failure probability of pipelines." 7th International Pipeline Conference, American Society of Mechanical Engineers, Calgary, Alberta, Canada, 103-116.
Senouci, A., Elabbasy, M., Elwakil, E., Abdrabou, B., and Zayed, T. (2014). "A model for predicting failure of oil pipelines." Structure and Infrastructure Engineering, 10(3), 375-387.
Senouci, A., El-Abbasy, M., and Zayed, T. (2014). "Fuzzy-based model for predicting failure of oil pipelines." Journal of Infrastructure Systems, 20(4), 04014018.1-04014018.11.
SeonYeob, L., Young-Geun, K., Sungwon, J., Hong-Seok, S., and Seong-Min, L. (2007). "Application of steel thin film electrical resistance sensor for in situ corrosion monitoring." Sensors and Actuators, 120(2), 368-377.
Statistics Canada. (2017). "Oil Pipeline Transport Survey, 2015." http://www.statcan.gc.ca/daily-quotidien/170322/dq170322c-eng.pdf (06/15, 2017).
Teixeira, A. P., Guedes Soares, C., Netto, T. A., and Estefen, S. F. (2008). "Reliability of pipelines with corrosion defects." IPVP International Journal of Pressure Vessels and Piping, 85(4), 228-237.
Timashev, S., and Bushinskaya, A. (2016). Diagnostics and reliability of pipeline systems. Springer, .
Tuffery, S. (2011). Data mining and statistics for decision making. John Wiley and Sons, Ltd, Chichester, West Sussex; Hoboken, NJ.
US DOT. (2016a). "Distribution, Transmission & Gathering, LNG, and Liquid Accident and Incident Data. Pipeline and hazardous materials safety administration. US Department of Transportation." http://www.phmsa.dot.gov/portal/site/PHMSA/menuitem.6f23687cf7b00b0f22e4c6962d9c8789/?vgnextoid=fdd2dfa122a1d110VgnVCM1000009ed07898RCRD& (June, 2016).
US DOT. (2016b). "Fact Sheet: Equipment Failure." http://primis.phmsa.dot.gov/comm/FactSheets/FSNaturalForce.htm?nocache=2515 (June, 2016).
US DOT. (2016c). "Fact Sheet: Excavation Damage." https://primis.phmsa.dot.gov/comm/FactSheets/FSExcavationDamage.htm (June, 2016).
US DOT. (2016d). "Fact Sheet: Incorrect Operation." https://primis.phmsa.dot.gov/comm/FactSheets/FSIncorrectOperation.htm (June, 2016).
US DOT. (2016e). "Fact Sheet: Material/Weld Failures." https://primis.phmsa.dot.gov/comm/FactSheets/FSMaterialWeldFailure.htm (June, 2016).
US DOT. (2016f). "Fact Sheet: Natural Force Damage." http://primis.phmsa.dot.gov/comm/FactSheets/FSNaturalForce.htm?nocache=2515 (June, 2016).
US DOT. (2016g). "Fact Sheet: Other Outside Force." https://primis.phmsa.dot.gov/comm/FactSheets/FSOtherOutsideForce.htm?nocache=3930 (June, 2016).
US DOT. (2012). "Fact Sheet: Pipeline Repairs." https://primis.phmsa.dot.gov/comm/FactSheets/FSPipelineRepairs.htm (11/05, 2018).
Wang, W., Smith, Q., Popelar, H., and Maple, A. (1998). "A new rupture prediction model for corroded pipelines under combined loadings." 1998 2nd International Pipeline Conference, American Society of Mechanical Engineers, Calgary, Alberta, Canada, 563-572.
Weiguo, Z., Dongjing, L., Hai, W., and Xinxin, P. (2014). "Remaining-life prediction and reliability assessment of buried gas pipelines under corrosion and alternating loads." Journal of Pipeline Systems Engineering and Practice, 6(1), 05014002-1-05014002-6.
Wen, K., Gong, J., Chen, F., and Liu, Y. (2014). "A Framework for Calculating the Failure Probability of Natural Gas Pipeline." Journal of Computer Science Technology Updates, 1(1), 1-8.
Witek, M. (2016). "Gas transmission pipeline failure probability estimation and defect repairs activities based on in-line inspection data." Engineering Failure Analysis, 70 255-272.
Xie, M., and Tian, Z. (2018). "A review on pipeline integrity management utilizing in-line inspection data." Engineering Failure Analysis, 92 222-239.
Zakikhani, K., Nasiri, F., and Zayed, T. (2019). "A Review on Failure Prediction Models for Oil and Gas Pipelines." Journal of Pipeline Systems Engineering and Practice, ASCE, .
Zhang, S., and Zhou, W. (2014). "Cost-based optimal maintenance decisions for corroding natural gas pipelines based on stochastic degradation models." Journal of Engineering Structures, 74 74-85.
Zhang, S., Zhou, W., Al-Amin, M., Kariyawasam, S., and Wang, H. (2014). "Time-Dependent Corrosion Growth Modeling Using Multiple In-Line Inspection Data." Journal of Pressure Vessel Technology, 136(4), 041202-1-041202-7.
Zhang, T., Nakamura, M., and Hatazaki, H. (2002). "Optimizing maintenance scheduling of equipment by element maintenance interval adjustment considering system availability." Power Engineering Society Winter Meeting, 2002. IEEE, IEEE, 205-210.
Zhou, Q., Wu, W., Liu, D., Li, K., and Qiao, Q. (2016). "Estimation of corrosion failure likelihood of oil and gas pipeline based on fuzzy logic approach." Engineering Failure Analysis, 70 48-55.
Zhu, Q., Cao, A., Zaifend, W., Song, J., and Shengli, C. (2011). "Stray current corrosion in buried pipeline." Anti-Corrosion Methods and Materials, 58(5), 234-237.
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