Construction and Application of a Big Data System for Regional Lakes in Coalbed Methane Development

With the rapid development and widespread applicationof big dataand artificial intelligence, the upgrading of digital and intelligentindustries has been rapidly popularized in the oil and gas industry.First, based on the theory of & DPRIME;regional data lake & DPRIME;,the digital nature of the CBM governance system is analyzed, and theoptimization model of CBM governance for different data types is established.Second, considering the geological characteristics and developmentmode of the CBM reservoir, the regional data lake expansion modelis established. Third, a theoretical model of coupling & DPRIME;on-sitedata, laboratory data, management data, and data management system & DPRIME;has been established. The research shows the following: (a) The CBMgovernance system based on the regional data lake can be divided intofour parts: basic support, data life cycle, core governance areas,and governance strategy support. (b) The coupling of the coalbed methanegovernance model with the BP neural network model in this articlehas good application results. (c) The computational efficiency ofthis model has been improved by 12%, which has broad application prospects.