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| Application of data mining to postfracture response evaluation in gas field |
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MENG Qing-min1,2,ZHANG Shi-cheng1,WANG U2,HUANG Xia2,ZHANG Jun-jing1
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(1. MOE Key Laboratory of Petroleum Engineering in China University of Petroleum，Beijing 102249, China;2. Oil Production Technology Research Institute, Shengli Oilfield Branch Company，SINOPEC, Dongying 257000, Chirm)
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| Abstract: |
| Based on data mining architecture，a technical evaluation system suitable for gas well fracturing was established by combining the fracturing treatment characteristics of the gas reservoir. Data warehouse adopts SQL Server 2005 and data min> ing algorithms use decision trees and neural network model. Through the comparison and analysis of the two models, the well selection and fracturing interval selection standards and parameter optimization can be implemented. This data mining architecture has high integration and accuracy which can provide reference for fracturing decision. |
| Key words: data mining data warehouse decision trees al network postfracture response |
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