It is the time for oil and gas sector is to work on digital transformation system, use maintenance and inspection data from their computerized maintenance management system (CMMS) to identify the critical assets, recognize bad actors, and disclose reasons for corrosion failures. These information can be extracted and utilized to minimize the risk level and define strategies to protect assets from corrosion via advanced analysis techniques associated with big data.
The Threat to Pipeline Integrity from Soil Corrosion
External corrosion has been recognised as one of the primary mechanisms causing failures of oil/gas transmission pipelines in soil, and potentially causing adverse impact on the environment and communities. Generally, pipelines have a minimum depth of earth cover to reduce the risk of external damage to them, to people, and to nearby properties. Corrosion mostly occurs at coating failures, where the applied cathodic protection (CP) current is shielded from reaching the steel.
Application of big data analytics to energy pipeline corrosion management
Big Data is starting a new approach to the common issues encountered when large volumes of data are processed, which can also be diverse and likely to be managed with enormous parallelism as well. Some basic data must be obtained and organized in a particular way to resolve the new problems of different natures, depending on the type of research to be done, like technological, conceptual and methodological.
Stress Corrosion Cracking (SCC) is a threat to Pipeline Integrity Management?
The term stress-corrosion cracking (SCC) is used to define any type of environmentally induced or assisted crack propagation. The crack propagation noticed due to combined and synergistic interactions of stress and corrosion.
Corrosion behavior of 304L NAG and 310L NAG in Nitric Acid: Investigation of causes and preventive steps
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