Abstract
In the process of digitalized management of oilfield striding towards intelligent construction, how to effectively fuse oilfield data with multisource, heterogeneous, massive and distributed characteristics has become one of the problems to be solved urgently. In this paper, various data fusion models are compared, and the oilfield data fusion model based on ToGAF framework is proposed. This model combines master data management (MDM) with enterprise service bus (ESB) organically, realizes the function of oilfield data-driven business processing, and truly enables enterprises to pay more attention to their core business rather than IT system, so as to enhance the comprehensive management ability of enterprises.
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