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Data-driven technologies are a set of new techniques that rely on data rather than our current understanding of the physical phenomena in order to build models, solve problems, and make recommendations and help us make decisions. In the context of reservoir engineering and reservoir modeling, data are also referred to as facts. This is based on the assumption that the measurements made in the field actually represent facts about the reservoir and the state of the fluid flow in it. It is well understood that measurements include noise and that noise, as an integrated part of the collected data, can be handled.

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