[1] Liao, K., Qin, M., Wang, M., Zhang, S., Wu, L., & Yang, N. (2023). Probing pipe flow impact corrosion monitoring effectiveness under corrosion monitor coupons conditions. Fuel, 353, 129288. https://doi.org/10.1016/j.fuel.2023.129288.
[2] Eltai, E. O., Musharavati, F., & Mahdi, E. (2019). Severity of corrosion under insulation (CUI) to structures and strategies to detect it. Corrosion Reviews, 37(6), 553–564. https://doi.org/10.1515/corrrev-2018-0102.
[3] Cao, Q., et al. (2022). A review of corrosion under insulation: A critical issue in the oil and gas industry. Metals (Basel), 12(4), 561.
https://doi.org/10.3390/met12040561. [4] Johansen, G. A., & Jackson, P. (2004). Radioisotope gauges for industrial process measurements. John Wiley & Sons.
[5] Ewert, U., et al. (2016). Corrosion monitoring with tangential radiography and limited view computed tomography. AIP Conference Proceedings, 110003. https://doi.org/10.1063/1.4940574.
[6] Oliveira, D. F., Nascimento, J. R., Marinho, C. A., & Lopes, R. T. (2015). Gamma transmission system for detection of scale in oil exploration pipelines. Nucl Instrum Methods Phys Res A, 784, 616–620. https://doi.org/10.1016/j.nima.2014.11.030.
[7] Vassiliev, O. N. (2017). Monte Carlo methods for radiation transport: Fundamentals and advanced topics.
[8] Waters, L. S., et al. (2007). The MCNPX Monte Carlo Radiation Transport Code. In AIP Conference Proceedings (pp. 81–90). https://doi.org/10.1063/1.2720459.
[9] Ay, M. R., Shahriari, M., Sarkar, S., Adib, M., & Zaidi, H. (2004). Monte Carlo simulation of x-ray spectra in diagnostic radiology and mammography using MCNP4C. Phys Med Biol*, 49(21), 4897–4917. https://doi.org/10.1088/0031-9155/49/21/004.
[10] Cantatore, A., & Müller, P. (2011). Introduction to computed tomography. DTU Mechanical Engineering.
[11] Kwong, J., & Langeveld, W. G. J. (2016). A noise spectroscopy detector array for non-intrusive cargo inspection. IEEE Transactions on Nuclear Science, 63(2), 516–523. https://doi.org/10.1109/TNS.2016.2527659.