DBN在测井解释中的研究与应用

doi:10.3969/j.issn.0255-8297.2018.04.012

Abstract

Abstract: Well log interpretation refers to interpreting logging information into geological information, which was generally accomplished by establishing mathematical models or using the fundamental BP networks in the past. This study proposes to apply the deep belief network (DBN) to the interpretation of logging curve. We used four well log curves as input parameters, conducted the mudstone, and conducted the sandstone layering experiment and reservoir parameter prediction experiment with the DBN method. The results of experiment show that the DBN performs well in the interpretation of logging curve, with higher classification accuracy and shorter training time than that of BP algorithm.

Key words: artificial neural network, well log interpretation, prediction of reservoir parameters, deep belief network (DBN), mudstone and sandstone layering

CLC Number:

TP391

DUAN You-xiang, XU Dong-sheng, SUN Qi-feng, LI Yu. Research and Application on DBN for Well Log Interpretation[J]. Journal of Applied Sciences, 2018, 36(4): 689-697.

References

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Research and Application on DBN for Well Log Interpretation

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