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High-level architecture for a digital oilfield: features of the transition to data-driven decision management
2021
IOP Conference Series: Materials Science and Engineering
This paper is devoted to the design of a distributed heterogeneous data warehouse of a digital oilfield. With increasing amounts of data collected from intelligent controllers and sensors, the lack of mechanisms for combining data from different sources and providing them to consumers affect the overall management efficiency. In addition, without it is impossible making the next logical stepthe effective application of intelligent analysis methods. The paper describes the high-level
doi:10.1088/1757-899x/1019/1/012087
fatcat:7pxqv3mqgjdtpdxqy7pomgtn2i