?
Интеллектуальная гармонизация и трансформация данных механизированной добычи на основе открытых решений
The complexity of data processing in corporate information systems at the oil and gas industry is constantly growing due to increasing data quantity and heterogeneity. It requires the adoption of modern methodologies and tools for data and knowledge management. Many architectural solutions have already been tested by the OSDU consortium, but in the current conditions of localization and rapidly changing IT landscape it's necessary not only to repeat the known architectures on open components, but also to improve them by building a minimalistic version of complex ontology-controlled ETL-subsystem considering heterogeneous data sources and their versioning. The paper proposes a minimalistic architecture of complex ETL-subsystem based on open components, which was implemented in Schlumberger during the development of a new generation of monitoring and control systems for the artificial lift, deployed in private cloud environments. A table of the selected components' vendors and the criteria for justifying their selection are also provided.