Research Of Oil Condition Based On Data Mining

Data Mining is one of rhe promising information techniques in petroleum industry. Onone hand, with the development and research of data mining theory, data mining has found itsapplications in various areas, from business to entertainment, from science to technology. Onthe other hand, due to the development of information systems in petroleum industry, there isa huge amount of data accumulated in the petroleum production, especially for the applicationof real time database, operation data of petroleum industry can be recorded completely indatabase. And this accumulation of process data makes it possible to employ data mining toimprove productivity. Meanwhile, data mining, as a method of petroleum industry analyzing,has a great advantage.This thesis tried to apply data mining in petroleum industry. And this study on petroleumindustry data mining system discussed technical approach form a new aspect, that is, it basedon MATLAB which has a strong numerical computation and visual graphic design ability, soas to provide technical support for data mining from petroleum industry data. This studycombined MATLAB, data mining, and oil condition, put forward the three-tier architecture,realized the construction of system framework, designed Principal Component Analysis,clustering and C4.5algorithm at length, applied it to the53well of Long-er-zeng oil.To analyse the oil conditions, the thesis applies the data mining technique in petroleumindustry data, and uses the Curve fitting, Principal Component Analysis, clustering, andclassifying to analyse the petroleum industry data, the results well illustrates the conditions ofpetroleum industry, which provides a basis for decision-makers.