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Big data technology has become an effective means to drive the digital transformation of petrochemical service companies. The construction of a petroleum digital work platform based on big data technology is a big data application practice for petrochemical service companies. This technology integrates corporate marketing, production, and operation. The multiple businesses in each sector connect the entire data life cycle of enterprise data collection, storage, governance, mining, analysis and application. Based on the current status of digital development of petrochemical service companies and the problems encountered, this research puts forward a plan for the construction of a petroleum digital work platform for petrochemical service companies based on big data technology, combined with the development and advantages of big data technology. The fault information is extracted, and the DBN big data learning algorithm model is used to realize the data calculation and processing of petroleum life cycle management. Through experiments, the method of this research has a large amount of data processing and accuracy.