Combining Magnetic Flux Leakage and Optical Inspection Technique for Identification of Nearby Pittings
الموضوعات :
Turaj Azizzadeh
1
(Department of Mechanical Engineering,
University of Science and Technology, Iran)
Mir Saeed Safizadeh
2
(Department of Mechanical Engineering,
University of Science and Technology, Iran)
الکلمات المفتاحية: Magnetic Flux Leakage, Optical Inspection Technique, Pipeline,
ملخص المقالة :
Magnetic Flux Leakage (MFL) is an indirect measurement technique. Therefore, calibration curves are generally used to estimate the depths of the defects from the measured MFL signals. This has been shown to give good results on varying degrees of the single defects. However due to the interaction between the leakage fluxes, nearby pittings can-not be discriminated and properly assessed using the conventional MFL technique. In order to ensure reliable measurement for this case, the MFL technique is combined with the optical inspection technique. The main contributions of this study are to develop a new calibration method based on the defect depth, defect area as well as the amplitude of the corresponding MFL signal and propose a novel combined approach for detection and identification of the nearby pittings. MFL and optical inspection techniques are applied to a test specimen containing the nearby pittings. The results obtained from the experimental tests demonstrate the efficacy of the proposed approach.
[1] Gunaltun, Y., Top of Line Corrosion in Gas Lines Confirmed by Condensation Analysis, Oil & Gas Journal, Vol. 97, No. 28, 1999.
[2] Benjamin, A. C., Freire, J. L. F., and Vieira, R. D., Analysis of Pipeline Containing Interacting Corrosion Defects, Experimental Techniques, Vol. 31, No. 3, 2007, pp. 74-82.
[3] Silva, R. C. C., Guerreiro, J. N. C., and Drach, P. R. C., A Study on the Assessment and Interaction Criteria for Pipes Containing Multiple Corrosion Defects, Proceedings of the Rio pipeline conference, RPC 2009, 2009.
[4] Freire, J. L. F., Vieira, R. D., Fontes, P. M., Benjamin, A. C., Colquicocha, L. S. M., and Miranda, A.C., The Critical Path Method for Assessment of Pipelines with Metal Loss Defects, Proceedings of the 9th international pipeline conference, IPC 2012, 2012.
[5] Singer, M., CO2 Top of the Line Corrosion in Presence of Acetic Acid: A Parametric Study, Proceedings of NACE CORROSION, Paper No. 09292, Atlanta, 2009.
[6] Coramik, M., and Ege, Y., Discontinuity inspection in pipelines: A Comparison Review, Measurement, Vol. 111, 2017, pp. 359–373.
[7] Bai, Y., Pipelines and Risers, Elsevier Ocean Engineering Series Editors, USA, 2001.
[8] Suresh, V., Abudhahir, A., and Jackson, D., Development of Magnetic Flux Leakage Measuring System for Detection of Defect in Small Diameter Steam Generator Tube, Measurement, Vol. 95, 2017, pp. 273–279.
[9] Porter, P. C., Use of Magnetic Flux Leakage (Mfl) For The Inspection of Pipelines and Storage Tanks. Proceedings of the Nondestructive Evaluation of Aging Utilities, SPIE 2454, 1995, pp. 172–184.
[10] Feng, Q., Li, R., Nie, B., Liu, S., Zhao, L., and Zhang, H., Literature Review: Theory and Application of In-line Inspection Technologies for Oil and Gas Pipeline Girth Weld Defection, Sensors, Vol. 17, No. 50, 2017, pp. 1-24.
[11] Sutherland, J., and Paz, H., Advances in In-Line Inspection Technology for Pipeline Integrity, Proceedings of the 5th Annual International Pipeline Congress, Morelia, Mexico, 2000.
[12] Azizzadeh, T., and Safizadeh, M. S., Three-Dimensional Finite Element and Experimental Simulation of magnetic flux leakage-type NDT for Detection of Pitting Corrosions, URL: http://www.NDT.net/article/ IranNDT2017/papers/520.pdf, February 2017.
[13] Huyse, L., Roodselaar, A. V., Onderdonk, J., Wimolsukpirakul, B., Baker, J., Beuker, T., Palmer, J., and Jemari , N. A., Improvements in the Accurate Estimation of Top of the Line Internal Corrosion of Subsea Pipelines on the Basis of In-Line Inspection Data, Proceedings of the 8th International Pipeline Conference, Calgary, Alberta, Canada, 2010, pp.1-8.
[14] Saunderson, D. H., The MFL Tank Floor Scanner - A Case History, Proceedings of the IEE colloquium on non-destructive evaluation, 1988.
[15] Joshi, A., Udpa, L., Udpa, S., and Tamburrino, A., Adaptive Wavelets for Characterizing Magnetic Flux Leakage Signals from Pipeline Inspection, IEEE Transaction on Magnetics, Vol. 42, No. 10, 2006, pp. 3168- 3170.
[16] Haggag, F. M., Innovative Ssm Technology Determines Structural Integrity of Metallic Structures: Example Applications for Pressure Vessels and Oil and Gas Pipelines, International Journal of Pure and Applied Physics, Vol. 3, No. 1, 2007, pp. 91-108.
[17] Ji, F., Wang, C., Sun, S., and Wang, W., Application of 3-D FEM in the Simulation Analysis for MFL Signals, Insight: Non-Destructive Testing and Condition Monitoring, Vol. 51, No. 1, 2009.
[18] Saha, S., Mukhopadhyay, S., Mahapatra, U., Bhattacharya, S., and Srivastava, G. P., Empirical Structure for Characterizing Metal Loss Defects from Radial Magnetic Flux Leakage, NDT & E International, Vol. 43, 2010, pp. 507–512.
[19] Kin, J. H., Kim, M. H., and Choi, D. H., Analysis and Depth Estimation of Complex Defects on the Underground Gas Pipelines, Journal of magnetics, Vol. 18, No. 2, 2013, pp. 202-206.
[20] Niese, F., Yashan, A., and Willems, H., Wall-Thickness Measurement Sensor for Pipeline Inspection using EMAT Technology in Combination with Pulsed Eddy Current and MFL, Proceedings of the 9th European Conference on NDT, ECNDT 2006, Berlin, 2006, pp. 1-10.
[21] Jian, F., Feng, Z., Xiang, L., Yang, W., and Ze, M., Three-axis Magnetic Flux Leakage In-Line Inspection Simulation Based On Finite-Element Analysis, Chinese physical society, Vol. 22, No. 1, 2013, pp. 1-6.
[22] Lim, M. K., and Cao, H., Combining Multiple Ndt Methods to Improve Testing Effectiveness, Construction and Building Materials, 2011.
[23] Oagaro, J. A., and Mandayam, S., Multi-Sensor Data Fusion Using Geometric Transformations for Gas Transmission Pipeline Inspection, Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, IMTC 2008, Victoria, Vancouver Island, Canada, 2008.
[24] Goller, C., Simek, J., and Ludlow, J., Multiple Data Set Ili for Mechanical Damage Assessment, Proceedings of the 9th International Pipeline Conference, IPC 2012, Calgary, Alberta, Canada, 2012, pp. 1-9.
[25] Safizadeh, M. S., and Azizzadeh, T., Corrosion Detection of Internal Pipeline using NDT Optical Inspection System, NDT & E International, Vol. 52, 2012, pp. 144–148.
[26] Qi, J., Qingmei, S., Nan, L., Paschalis, Z., and Jihong, W., Detection and Estimation of Oil-Gas Pipeline Corrosion Defects, Proceedings of the 18th international conference on systems engineering, ICSE 2006, 2006, pp. 173–177.
[27] Rostami Kandroodi, M., Shirani, F., Nadjar Araabi, B., Nili Ahmadabadi, M., and Mansoob Basiri, M., Defect Detection and Width Estimation in Natural Gas Pipelines using MFL Signals, Proceedings of the 9th Asian Control conference, Istanbul, Turkey, 2013, pp. 1–6.
[28] Zhang, Z., A Flexible New Technique ffor Camera Calibration, IEEE Transaction on Pattern Analysis and Machine Intelligence, Vol. 22, 2000, pp. 1330–1334.
[29] Gonzalez, R. C., Digital image processing, Addison - Wesley, Massachusetts, USA, 1987.
[30] Nestleroth, J. B., and Bubenik, T. A., Magnetic Flux Leakage Technology for Natural Gas Pipeline Inspection, Technical Report GRI-00/0180, Battelle, Topical Report to Gas Research Institute, February 1999.
