hossein afarideh

Fluid transmission pipelines are prone to corrosion and sediment deposition due to the nature of the materials they carry. Deposits inside of the pipeline may worsen corrosion, leading to micro-cracks and pitting. Neglecting to assess these factors can lead pipelines to failures with catastrophic consequences. Various methods have been developed for this purpose, with techniques using penetrating X-rays and gamma rays being the most accurate and non-destructive. In this study, gamma-ray dual-energy computed-tomography was utilized as a precise and non-destructive method for detecting corrosion in pipeline walls. Projections were obtained using the Limited-Number-Detector Computed Tomography (LNDCT) technique for pipeline phantoms. Dual-energy techniques were employed, emitting gamma rays from suitable radioactive isotopes such using two radioisotopes, Am-241 and Cs-137. Projections at different angles were recorded using 15 NaI(Tl) 2-inch detectors, and the corresponding full-energy-peak were separated and organized in the sinogram matrix. Subsequently, image reconstruction was performed using the Filtered-Back-Projection (FBP) algorithm, and the quality of the reconstructed image was assessed. The reconstructed images demonstrate the effectiveness of the dual-energy method in distinguishing between light and heavy materials, potentially leading to higher image quality compared to single-energy methods. Detailed analysis of the data obtained from dual-energy tomography enables precise identification of defects, failures, and sedimentation, without damage to pipeline structures. This research contributes to enhancing the evaluation and monitoring methods for pipelines, improving the efficiency of these systems, and ultimately advancing safety and productivity in the oil and gas industry.

A substantial volume of oil and gas pipelines, particularly in petrochemical industries, are insulated with various materials. In many cases, a small opening or leak can allow water and other corrosive liquids to penetrate, leading to corrosion under insulation (CUI). This type of corrosion is not detectable through conventional methods over the insulation. With the usual methods of non-destructive inspection, such as visual and ultrasonic tests, it is not possible due to the lack of access to the metal of the pipeline. One of the most effective non-destructive methods for this purpose is the use of radiographic profiling devices. In this paper, using the Monte Carlo method, the common X-ray spectra for this technique at 70 keV and 90 keV were simulated. Industrial radioisotopes used, including Ir-192 and Co-60, were considered as sources. The pipeline phantoms implemented were made of 6mm thick carbon steel and 24mm thick polyethylene insulation. Artificial corrosion with a depth of 3mm was created on the pipeline wall. A single-energy linear detector made of CsI(Tl) with a thickness of 5mm and a pixel pitch of 1.6mm was implemented in the code, and the spatial signal was recorded on it. The transport of X-ray and gamma photons for the used sources was visually recorded for 20,000 photons, and the signal recorded on the detector, along with the accumulated energy in each detector pixel, was measured. The results indicate the suitable performance of the implemented system in locating and detecting CUI defects.A substantial volume of oil and gas pipelines, particularly in petrochemical industries, are insulated with various materials. In many cases, a small opening or leak can allow water and other corrosive liquids to penetrate, leading to corrosion under insulation (CUI). This type of corrosion is not detectable through conventional methods over the insulation. With the usual methods of non-destructive inspection, such as visual and ultrasonic tests, it is not possible due to the lack of access to the metal of the pipeline. One of the most effective non-destructive methods for this purpose is the use of radiographic profiling devices. In this paper, using the Monte Carlo method, the common X-ray spectra for this technique at 70 keV and 90 keV were simulated. Industrial radioisotopes used, including Ir-192 and Co-60, were considered as sources. The pipeline phantoms implemented were made of 6mm thick carbon steel and 24mm thick polyethylene insulation. Artificial corrosion with a depth of 3mm was created on the pipeline wall. A single-energy linear detector made of CsI(Tl) with a thickness of 5mm and a pixel pitch of 1.6mm was implemented in the code, and the spatial signal was recorded on it. The transport of X-ray and gamma photons for the used sources was visually recorded for 20,000 photons, and the signal recorded on the detector, along with the accumulated energy in each detector pixel, was measured. The results indicate the suitable performance of the implemented system in locating and detecting CUI defects.

Computed tomography using gamma- and X-rays has been using as one of the most reliable imaging modalities for non-destructive testing purposes in different fields of industry. These devices can provide a three-dimensional image of the sections inside the object under inspection. Based on the shape of the beam, the output beams from the beam source are placed in front of the source in the tomographic devices, detectors are placed in front of the source and rotated 360 degrees around the object to obtain projections and finally, the image is reconstructed. In this paper, a portable industrial CT system with the shape of a fan beam is simulated using the MCNPX2.7e Monte Carlo code. The number of detectors was selected as 19 due to its portability, and an industrial standard phantoms and an innovative phantom were used to acquire projections for verification of simulation operation. Cobalt-60 gamma rays are recorded on the detectors after being transported from the object under study and generate important projection data for various angles. The results include a large number of projection functions that can then be used to create a sinogram matrix.

One of the challenging problems in the Oil & Gas industry is accurate and reliable multiphase flow rate measurement in a three-phase flow. Application of methods with minimized uncertainty is required in the industry. Previous developed correlations for two-phase flow are complex and not capable of three-phase flow. Hence phase behavior identification in different conditions to designing and modeling of three-phase flow is important. Numerous laboratory and theoretical studies have been done to describe the Venturi multiphase flow meter in both horizontal and vertical flow. However, it is not possible to select the measurement devices for all similar conditions. In this study a new venturi model was developed that implemented in Simulink/Matlab for predicting mass flow rate of gas, water and oil. This models is simple and semilinear. Several classified configurations of three phase flow were simulated using Computational Fluid Dynamics (CFD) analysis to get hydrodynamics parameters of the flows to use as inputs of the model. The obtained data, used as test and train data in Least squares support vector machine (LSSVM) algorithm. The pressure drop, mass flow rate of gas, oil and water have been calculated with LSSVM method. Two tuning parameters of LSSVM, namely γ and σ^2, obtained as 1150954 and 0.4384, 53.9199 and 0.18163, 8.8714 and 0.14424, and 10039130.2214 and 0.74742 for pressure drop, mass flow rate of oil, gas mass flow rate, water mass flow rate, respectively. Developed models was found to have an average relative error of 5.81%, 6.31% and 2.58% for gas, oil and water respectively.

In this study, 27 Achaemenid coins, 62 Parthian coins, 66 Sassanid coins, have been analyzed. The Achaemenid coins as well as 20 Parthian coins belong to the National Museum of Iran and the other 42 Parthian coins are kept in Tamashagah-e Pool Museum. Sasanid coins belong to private collectors. Using PIXE analysis, the element concentrations of the coins were measured. By using statistical analysis on the concentration of the elements, the samples were analyzed using factor analysis method. Statistical analysis shows that the coins belonging to the Achaemenid and Sassanid periods can be identified and separated based on the changes of Cu/Ag, Pb/Ag and Au/Ag ratios. In particular the relative change in Cu/Ag ratio in the Achaemenid period is very low, whereas it is high for the Parthian Coins.

In this study, 166Ho-1,2-propylene di-amino tetra(methy1enephosphonicAcid) (166Ho-PDTMP) complex was prepared as a bone palliation agent. The complex was successfully prepared using an in-house synthesized EDTMP ligand and 166HoCl3. Ho-166 chloride was obtained by thermal neutron irradiation (1 × 1013 n.cm-2.s-1) of natural Ho(NO3)3 samples followed by radiolabeling and stability studies. Biodistribution in wild type rats was also peformed. The complex was prepared with thespecific activity of 278 GBq/mg and high radiochemical purity (>99%, checked by ITLC). 166Ho-PDTMP complex was stabilized in the final preparation and in the presence of human serum (>90%) up to 72 hr. The biodistribution of 166Ho-PDTMP in wild-type rats demonstrated significant bone uptake was up to 48 hr compared to 166HoCl3. The produced 166Ho-PDTMP properties suggest a possible new bone palliative therapeutic to overcome the metastatic bone pains.