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Alkali-silica reaction (ASR) induced damage is one of the main causes of degradation in reinforced concrete (RC) structures, especially in the high relative humidity environmental conditions. ASR involves complex dissolution-precipitation reactions in concrete that take place in the presence of alkali ions, silica, and moisture. Alkali ions diffuse into the porous aggregate through the concrete pore solution and startthe dissolution of silica by breaking silanol and siloxane bonds in the reactive aggregates.
Gas Oil Hydrotreating Unit uses a catalytic hydrotreating process employing a selective catalyst and a hydrogen-rich gas stream to decompose organic sulfur, oxygen and nitrogen compounds contained in the feed. The products of these reactions are the contaminant free hydrocarbon, along with H2S and NH3. Other Treating reactions include halide removal and aromatic saturation. Reactor effluent is cooled in series of Combined Feed Exchangers followed by REAC for product separation. The reactor effluent system is prone for corrosion and fouling due to salting of NH4HS and NH4Cl. Most of the failure analysis studies and literature available in public domain regarding reactor effluent corrosion deals with the corrosion in the REAC and its outlet piping.
Corrosion Under Insulation (CUI) is a well-known industrial problem that has been plaguing asset owners for decades. CUI presents one of the costliest corrosion factors for Oil and Gas, petrochemical and general processing industries and can result in unplanned shutdowns, maintenance, repairs or even explosions while in service. Due to the risk factors present, many methods to prevent CUI have been adopted, trying to find best practices to minimize the risk of potentially catastrophic events caused by CUI.
In the oil and gas industry sand production is a major cause of erosion which can badly affect production rates because of damage to surface and subsurface facilities and equipment such as pumps, valves, elbows and pipelines. In past few years, research work on sand production has been conducted in different ways including erosion prediction, and control and sand monitoring to prevent sand production and its damages to facilities. The continuous monitoring of sand in the flow stream is extremely useful to minimize erosion damage to the production facilities.
Pipeline and piping have been widely used for decades in the transportation of enormous kindsof fluids in diverse industries (e.g. oil and gas, chemical and power industries). During theconstruction phase of these pipelines, different sizes of pipes (ranging from 2" to 48" or more),elbows and piping are welded to meet the required design criteria and mechanical properties.With these in mind, a lot of factors must meticulously be considered to ensure that the finishedweld is suitable for use in all ramifications. This is done in accordance to set down codes andstandards to avoid the possibility of failure. Even though there has been destructive analysiscarried out on the welded joint to ascertain the required minimum mechanical properties, howeverscanty numerical and non-destructive analyses are usually performed in line with the establishedstandards. Therefore, this paper focused on the numerical (modal analysis using ANSYS R15.0explicit dynamic modeler) and non-destructive (TOFD: time of flight diffraction) analysis on a 4”butt welded pipe.The result from the numerical analysis clearly showed the effects of the discontinuities on thewelded joint where discontinuities exist as equally confirmed by the non-destructive inspection.These parts exhibited higher stress concentration as compared to other parts that do not haveany form of discontinuities and this relates to the fact that the presence of these discontinuitieswill accelerate the failure of the welded joint even though the applied stress at those points ismuch lower than the yield strength of the material.
The first case of top of line corrosion (TLC) in Tunu gas field was reported by Gunaltun et al in 19991. Inlineinspection (ILI) of two carbon steel pipelines distributing multiphase effluent, showed up to 50% metalloss at 11.00 – 01.00 o’clock at several sections. Visual examination of a cut section showed that the topof line was covered with iron carbonate layer with deep pits, and severe metal loss occurred on largesurfaces at these area.
The hydrocarbon exploration in the ocean and deep sea was started as early as early as the 1850s, when the first drilling was carried out in California, USA. Other early oil explorations activities were later recorded in Pakistan (1886), Peru (1869), India (1890) and Dutch East Indies (1893). The development of an offshore industry is directly related to the development of subsea pipelines as well. As the industry expands towards deeper waters, the pipelines are required to have better materials, designs, operation practices and maintenance strategies to withstand the challenging environments. These pipelines are exposed to elevated temperatures, high pressures, and corrosive fluids.
Fiber reinforced polymer (FRP) and other polymeric materials are used in many ways to reduce and manage corrosion damage for industrial, infrastructure and municipal applications. It is common practice to use the term “resin” for polymers in these materials. This paper uses polymer interchangeably with resin. This paper will also only consider glass fiber reinforcements.
In most engineering and scientific applications, machine learning (ML) or artificial intelligence (AI) methods in general, are primarily oriented to design a statistical/heuristic procedure to predict the outcome of a system under new conditions. This mechanism aims at exploring non-evident correlations between inputs and outputs that are embedded in the data. However, a large body of this effort relies on black-box function approximations (e.g., neural networks) that have shown limitations to elucidate additional insights from the underlying physical process that generated the data. Thus, this type of knowledge is generated in a data-driven manner without fully explaining the physics governing the problem.