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.
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.
An overview of energy pipeline integrity management, and future asset management strategies
Recently, pipeline integrity saw the introduction of many advanced technologies to detect anomalies, enhance the efficiency of pipeline operation and reduce failures. Pipelines and accessories are valuable assets, generally owned, operated, and maintained by pipeline companies and in most countries around the world pipelines are an irreplaceable core of a gas or other materials transportation system, and a means by which gas or fluids are delivered from the source of supply to the customer.