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Monitoring wax deposition in pipelines is of particular importance for oil extraction companies. In this work, a new gamma-ray tomography system based on using a rod CsI(Na) scintillator and 137Cs gamma source was developed to view the cross section of oil pipelines. The system can estimate the interaction position of gamma-rays by measuring light attenuation in the rod scintillator using two photomultiplier tubes coupled to its ends. Therefore, despite the simple structure of the employed detector, it can act as a position-sensitive instrument. In order to test the proposed tomography system, a selection of desired polyethylene round-bar pieces (as different wax thicknesses) was prepared to be placed in iron pipes, and their projections at different angles were acquired to construct cross-sectional images as well. The results showed that the designed system had the ability to scan the interior of the pipes and determine wax thickness with an error between 2.4% and 11.4%.

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In this work, a simple position sensitive detector based on rod plastic scintillators was developed for detection of beta particles. The detection setup consisted of a plastic-based rod detector (BC400) coupled to a PMT at one side. A Promethium-147 having about 7 mCi activity was used as a beta particle source. It was shown that the spectral response of this detector can provide useful information about the incident position of the beta particles. K: Scintillators, scintillation and light emission processes (solid, gas and liquid scintillators); Interaction of radiation with matter 1Corresponding author.

Mixed fields of gamma and beta radiations may exist under different conditions such as radiation dosimetry, PET medical imaging, medical therapy treatments, space radiation detection, etc. In these circumstances, it is important to determine the dose rate, intensity, incident position of the beta particles and gamma radiation separately. In this work, a radiation detector was developed, which could monitor the incident position and type of beta particles and gamma rays in the mixed radiation fields. The detector consisted of an ø 5.5 × 5 cm rod plastic scintillator coupled to a 2′′ photomultiplier at one end. 137Cs and 147Pm were employed as gamma and beta sources, respectively. Two sources were placed in different positions in front of the detector and the related spectra were recorded using a multi-channel analyzer. An artificial neural network consisting of a three-layer perceptron was developed and trained using the recorded mixed gamma and beta spectra to predict their type and position.

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