High-level architecture for a digital oilfield: features of the transition to data-driven decision management

Abstract

Abstract 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 step – the effective application of intelligent analysis methods. The paper describes the high-level architecture, as well as subsystems of operational management and decision support. The presented data are intermediate results of the project “Digital oilfield heterogeneous distributed data warehouse for informational support of decision-making processes”.