Practical Experience in the Early Detection and Assessment of Vessels with Htha Degradation
نویسندگان
چکیده
High Temperature Hydrogen Attack (HTHA) is a damage mechanism with a significant impact in the refinery industry, internationally. The mechanism results in gradual and relatively slow degradation of the vessel material during the incubation time period, but more rapid degradation thereafter. The paper gives an overview of this damage mechanism in the context of inspection surveys to identify degraded areas, and engineering assessments to assess fitness for continued service. The basic mechanism of HTHA is described, with reference to the influence of temperatures and pressures. The various forms of attack, as well as the process of HTHA degradation, and the influence of a number of factors, are described. The detection of attack using advanced NDT and risk-based approaches are described. Available inspection techniques for HTHA detection and quantification are reviewed. Specific attention is given to Advanced Backscatter, Velocity Ratio, and Metallurgical Replication and Fast Fourier Transformation techniques. Typical reporting formats are presented. Practical examples regarding the mapping of the survey results for a specific vessel are given. The Fitness For Service (FfS) and Remaining Life assessment of equipment with identified damage, is discussed in the context of the API RP 579. The alteration and rerating of equipment that has suffered from HTHA are considered when FFS of HTHA equipment, is discussed
منابع مشابه
Morphological Exudate Detection in Retinal Images using PCA-based Optic Disc Removal
Diabetic retinopathy lesion detection such as exudate in fundus image of retina can lead to early diagnosis of the disease. Retinal image includes dark areas such as main blood vessels and retinal tissue and also bright areas such as optic disk, optical fibers and lesions e.g. exudate. In this paper, a multistage algorithm for the detection of exudate in foreground is proposed. The algorithm se...
متن کاملComparative Assessment of Neutrophil Gelatinase-Associated Lipocalin (NGAL) and Cystatin C as Early Biomarkers for Early Detection of Renal Failure in Patients with Hypertension
Background: Hypertension is one the most common causes of chronic kidney disease (CKD). One of the major concerns in hypertensive patients is early detection of renal disorders. In the past, serum creatinine (Scr) concentration was used as a marker of kidney function, but it proffers a late reflection of reduced glomerular filtration rate. Cystatin C and neutrophil gelatinase-associated lipocal...
متن کاملEarly Detection of Diabetic Retinopathy in Fluorescent Angiography Retinal Images Using Image Processing Methods
Introduction: Diabetic retinopathy (DR) is the single largest cause of sight loss and blindness in the working age population of Western countries; it is the most common cause of blindness in adults between 20 and 60 years of age. Early diagnosis of DR is critical for preventing vision loss so early detection of microaneurysms (MAs) as the first signs of DR is important. This paper addresses th...
متن کاملA land covers classification system for environment assessment in semi-arid regions of Iran
Land degradation is a major danger which restricting different areas of Iran. Systematic description of the environmentfor detection of environmental changes and the human-related causes and responses is essential in land cover changestudy. Use of land cover data allow detection of where certain changes occur, what type of change, as well as how theland is changing. Existing systems for classif...
متن کاملAutomatic Optic Disc Center and Boundary Detection in Color Fundus Images
Accurately detection of retinal landmarks, like optic disc, is an important step in the computer aided diagnosis frameworks. This paper presents an efficient method for automatic detection of the optic disc’s center and estimating its boundary. The center and initial diameter of optic disc are estimated by employing an ANN classifier. The ANN classifier employs visual features of vessels and th...
متن کامل