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Evaluating the location-based risk of corrosion is critical to a number of fields of industry. Within naval aviation, knowing the risk of corrosion from environmental factors can be used to ensure that maintenance intervals are properly planned. From a basic research aspect, understanding how different sites behave allows researchers to better correlate how performance at a standard test site can be extrapolated in future research efforts. However, a survey of literature and conversations with many corrosion experts has shown variability in how environmental factors are assessed.
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Bulk items such as cast and forged valves are installed under various temperature conditions. It is exposed to a wide range of temperatures, therefore the coating product applied to bulk items should have appropriate heat resistance performance. However, it is very difficult to select a suitable coating system since the temperature condition is not determined in the valve manufacturing stage. For this reason, unsuitable coating systems are often applied, causing coating defects in the field operation. Therefore, it is necessary to apply a coating system that can cover a wide temperature range to prevent this problem.
Atomic hydrogen can enter metallic microstructures from deposition processes like Cr plating or phosphatizing, chemical and electrochemical pickling treatments, during welding operations if the humidity of consumables is too high, by cathodic processes resulting from corrosion phenomena or contact with high pressure gaseous hydrogen. According to different chemical-physical mechanisms, atomic hydrogen can enter the metallic structure resulting in damages of various forms, such as HIC (hydrogen induced cracking), SOHIC (stress oriented HIC), delayed fracture and hydrogen embrittlement (HE).
Traditional Corrosion Growth Rate (CGR) models used in the integrity assessment of corroded pipelines are deterministic. A common Magnetic Flux Leakage (MFL) inline inspection (ILI) tool performance specification on general corrosion anomaly depth is +/- 10% Wall Thickeness (WT) at 80% confidence which corresponds to a standard deviation of 7.81% WT. Probabilistic Corrosion Growth Rate (PCGR) models incorporate these large measurement uncertainties and provide more realistic reliability assessments
The long-term performance of three different automotive surface coatings (physical barrier, sacrificial, and hybrid) was predicted using electrochemical impedance spectroscopy (EIS). Corrosive conditions faced by vehicles in the field, such as deicing, can be simulated using accelerated methods. The coating/metallic substrate interface experiences various degradation mechanisms during exposure to harsh conditions. In this work, real-time measurements were performed via EIS testing to characterize the degradation and corrosion mechanism of coating and substrate. After the real-time measurements, a mathematical framework based on mechanistic and machine-learning concepts was developed. Phase angle plots from EIS were utilized to monitor the state of the coating during steady-state conditions and train the Artificial Neural Network (ANN) as an arrangement of Time Series Prediction (TSP). The transport processes, activation, and interface interaction with the corrosive environments were analyzed as a corrosion mechanism and were predicted via the ANN model. The ANN has predicted the coating performance for several years, and the experimental results have been validated by employing scanning electron microscopy (SEM) imaging. Each coating condition has been validated via SEM imaging at the initial state and when the coating protection is activated.
Suncor is an integrated oil, gas exploration, and production company that operates over 1000 km (622 miles) of pipeline in Canada and approximately 386 miles (621 km) of pipeline in US. Suncor also operates refineries in Alberta, Ontario, Quebec (Canada) and in Colorado (USA). Additionally, the company owns a network of more than 1,800 Petro-CanadaTM retail and wholesale locations across Canada.
High-temperature service places severe constraints on materials selection due to a combination of factors including the formation of oxide films, spallation and volatilization, and deterioration in mechanical properties. Materials selection is principally informed by laboratory testing under simulated conditions of temperature, thermo-mechanical fatigue, and environment chemistry (such as the presence of steam, exhaust gas chemistry, or salts). Models for predicting the high temperature performance of materials a priori are an active area for development, and are currently focused on elements such as predicting oxide formation, microstructure evolution and reduced order models for creep.
In the recent years, Horizontal Directional Drilling - HDD - became a real improvement for pipeline construction when crossing obstacles such as rivers, roads or railways. For the corrosion protection of the carbon steel pipeline, a protective coating is associated with cathodic protection. But for trenchless techniques, the coating shall withstand the stresses from the installation. Several standards are used to specify corrosion protection coatings for buried pipelines but those documents do not cover the specific conditions of an HDD.
Materials properties that are used in specific oil and gas environments are de-rated due to the risks associated with hydrogen embrittlement cracking. In oil production environments the concern is for the onset of stress corrosion cracking (SCC), while in seawater environments the concern is for Hydrogen Induced Stress Cracking (HISC). Both are hydrogen embrittlement phenomena with the distinction being the source of hydrogen for each. In SSC the source of hydrogen is from the presence of H2S in the oil production fluids, and in HISC the source of hydrogen is from the dissociation of water from the cathodic protection system. This paper is focused on the latter phenomena and aims to characterize the susceptibility of carbon alloy steels as applied in fastener applications, in a seawater environment under cathodic protection.
Scale and corrosion inhibitors are commonly used in many oil and gas production systems to prevent inorganic deposition and to protect asset integrity. Scale inhibitor products are based on organic compounds with phosphate or carboxylic functional groups such as amino phosphonates, phosphate esters, phosphino polymers, polycarboxylate and polysulfonates,1 as shown in Figure 1. These anionic groups have strong affinity to alkaline earth cations and can adsorb on the active growth sites of scale crystal (Figure 2), resulting in stopping or delaying the scale formation process.