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Saipem recently took a more integrated approach at production data collection and elaboration recently launched an advanced pilot project: the deployment of a vast data collection and analysis system in the production lines of its Flagship CastorONE. Data is collected from multiple sources by means of communication infrastructures and articulated network systems that allow to connect to different machines and equipment. The most meaningful data are identified and pre-filtered. The data are then processed, aggregated and subject to advanced analytics in order to extract useful information on the productivity, the main process parameters, building on its already available tools to manage welding productivity.This enables Saipem not only to build an integrated, real-time, comprehensive representation of the on-going activities, but also to gain new and valuable insights on the efficiency of its vessels during and after the execution of projects, across different phases, making it easier to compare the productivity estimations with the field performances. The advantages of data-driven continuous improvement are discussed too. This paper will provide a general overview of the system and of the results reached.
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Tank lining products are necessary for protection of infrastructure and commodities to ensure daily business operations continue smoothly. They are expected to protect the tank from corrosion and chemical attack while maintaining the purity of the tank’s contents; ultimately keeping people and the environment safe from an accidental discharge. Rigorous laboratory testing programs and field trials are conducted to instill confidence the right product is recommended for each task.
Management and operating teams, across all industries, but especially inside asset management organizations, must increasingly rely on data-driven assessment and analytics for decision making. Clearly, inefficiency and ineffectiveness associated with manual or poorly optimized business processes and fragmented business management Infrastructures is a barrier to formulating the safest, most efficient and cost effective asset management and operational decisions. According to Deloitte’s digital maturity analysis, the midstream industry and specially the pipeline sector is in its lowest stages of digital adoption (first 20-30% progress).