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The research and application of oil and gas production safety early-warning based on large data analysis technology

Since the abnormal state of the oil and gas production process or equipment may lead to major accidents, this paper proposes oil and gas production operation safety early warning strategy based on big data analysis technology. Firstly, analyzing characteristic parameters associated with business needs; then uses membership function, fuzzy comprehensive evaluation and regression analysis to build the early warning model. In this paper, the early-warning strategy is verified by using the DCS system data. The results show that, compared with the traditional one-parameter threshold alarm, the proposed early-warning strategy can predict the abnormal 'foaming' event of the desulphurization tower 8 minutes ahead of time and predict the abnormal A-annular event 82 hours ahead of time. Based on the research results, the construction of oil and gas production operation safety warning system is realized, and the safety management of production and operation is advanced.