In the process of extracting oil and gas from hydrocarbon reservoirs, the formation of depositions inside pipes, fittings, and storage tanks, not only accelerates corrosion but also reduces a significant volume of operating capacities. The most critical step in solving the problem of deposition formation is their early and timely detection. In industries, internal surfaces of the pipeline are usually inspected by nondestructive testing (NDT) methods. The detection of depositions should operationally be difficult if there were special conditions for accessing the back of pipelines. Therefore, a suitable method is encouraged to detect deposition in the pipes and tubes when one side or a small part of them is accessible. In this paper, the Monte Carlo simulation tool was applied to use backscatter radiography (as an NDT inspection technique) for in-situ detection of depositions inside the metallic pipelines. In fact, the simulation process shows the correctness and efficiency of the backscatter radiography technique. It would determine some significant factors such as photon energy, angle of irradiation, or location of detectors which affect the design before experiment. The results showed that backscatter radiography as a viable technique could properly detect the location of depositions inside the pipes.
Mousavi-Dehghani, S., Riazi, M., Vafaie-Sefti, M., Mansoori, G., “An analysis of methods for determination of onsets of asphaltene phase separations”, Journal of Petroleum Science and Engineering, Vol. 42, No. 2-4, (2004), 145-156. DOI: 10.1016/j.petrol.2003.12.007
Fakher, S., Ahdaya, M., Eltukl, M., Imqam, A., Critical review of asphaltene properties and factors impacting its stability in crude oil. Journal of Petroleum Exploration and Production Technology, Vol. 10, (2019), 1183-1200. DOI: 10.1007/s13202-019-00811-5
Ganeeva, Y.M., Yusupova, T.N., Romanov, G.V., “Waxes in asphaltenes of crude oils and wax deposits”, Journal of Petroleum Science, Vol. 13, No. 4, (2016) 737-745. DOI: 10.1007/s12182-016-0111-8
Martyushev, D., Modeling and Forecasting of Paraffin Settings on an Existing Extractive Fund of Oil Deposits, International Journal of Engineering, Transactions C: Aspects, Vol. 32, No. 12, (2019), 1704-1709. DOI: 10.5829/IJE.2019.32.12C.02
Makwashi, N., Zhao, D., Ismaila T.A., Paiko, I., “Pipeline Gas Hydrate Formation and Treatment: A Review”, 3rd National Engineering Conference on Building the Gap between Academia and Industry, Faculty of Engineering, Bayero University, Kano. (2018), https://www.researchgate.net/publication/330262173
Vazirian, M. M., Charpentier, T. V. J., de Oliveira Penna, M., & Neville, A. “Surface inorganic scale formation in oil and gas industry: As adhesion and deposition processes”, Journal of Petroleum Science and Engineering, Vol. 137, (2016), 22-32. DOI: 10.1016/j.petrol.2015.11.005
Al Rawahi, Y.M., Shaik, F., Rao, L.N., Studies on scale deposition in oil industries & their control, International Journal for Innovative Research in Science & Technology, Vol. 3, (2017), 152-167. http://www.ijirst.org/articles/IJIRSTV3I12056.pdf
Liu, E., Peng, S., Zhang, H., Huang, L., “Blockages detection technology for oil pipeline”, Journal of the Balkan Tribological Association, Vol. 22, (2016), 1045–1057. https://www.researchgate.net/publication/330845379
Díaz-Sánchez, H., Rojas-Trigos, J.B., Leyva, C., Trejo-Zárraga, F., “An approach for determination of asphaltene crystallite by X-ray diffraction analysis: A case of study”, Petroleum Science and Technology, Vol. 35, No. 13, (2017), 1415-1420. DOI: 10.1080/10916466.2017.1336771
Jamshidi.V., Davarnejad, R., “Simulation of corrosion detection inside wellbore by X-ray backscatter radiography”, Applied Radiation and Isotopes, Vol. 145, (2019), 116-119. DOI: 10.1016/j.apradiso.2018.12.026
Saxena, H., Majhi, A., Behera, B., “Prediction of wax content in crude oil and petroleum fraction by proton NMR”, Petroleum Science and Technology, Vol. 37, No. 2, (2019), 226-233. DOI: 10.1080/10916466.2018.1536713
Gawdzinska, K., Grabian, J., Przetakiewicz, W., “Use of X-ray radiography in finding defects in metal-matrix composite casts”, Metalurgija, Vol. 47, (2008), 199-201. https://hrcak.srce.hr/file/35671
Xiong, X., Yantao, L., Daquan, C., Wei, Z., Xiaoming, W., Yingjie, W., Zhiming, Z., “A compact, high signal-to-noise ratio line-detector array Compton scatter imaging system based on silicon photomultipliers”, Applied Radiation and Isotopes, Vol. 154, (2019), 108845. DOI: 10.1016/j.apradiso.2019.108845
Tsoulfanidis, N., Landsberger, S., Measurement and Detection of Radiation. Taylor & Francis: USA. (2015), DOI: 10.1201/b18203
Chong, Z. R., Yang, S.H.B., Babu, P., Linga, P., Li, X.-S., 2016. Review of natural gas hydrates as an energy resource: Prospects and challenges, Applied Energy, Vol. 162, 1633-1652. DOI: 10.1016/j.apenergy.2014.12.061
Hosseinipour, A., Japper-Jaafar, A., Yusup, S., Ismail, L., “Application of the Avrami Theory for Wax Crystallization of Synthetic Crude Oil”, International Journal of Engineering, Transactions A: Basics, Vol. 32, No. 1, (2019), 18-27. DOI: 10.5829/IJE.2019.32.01A.03
Speight, J.G. “Handbook of petroleum analysis”, John Wiley & Sons, US. ISBN: 0-471-36167-4. (2001)
Jamshidi, V., & Davarnejad, R. (2020). Simulation of Deposition Detection inside Wellbore by Photon Backscatter Radiography. International Journal of Engineering, 33(12), 2450-2454. doi: 10.5829/ije.2020.33.12c.03
MLA
V. Jamshidi; R. Davarnejad. "Simulation of Deposition Detection inside Wellbore by Photon Backscatter Radiography". International Journal of Engineering, 33, 12, 2020, 2450-2454. doi: 10.5829/ije.2020.33.12c.03
HARVARD
Jamshidi, V., Davarnejad, R. (2020). 'Simulation of Deposition Detection inside Wellbore by Photon Backscatter Radiography', International Journal of Engineering, 33(12), pp. 2450-2454. doi: 10.5829/ije.2020.33.12c.03
VANCOUVER
Jamshidi, V., Davarnejad, R. Simulation of Deposition Detection inside Wellbore by Photon Backscatter Radiography. International Journal of Engineering, 2020; 33(12): 2450-2454. doi: 10.5829/ije.2020.33.12c.03