Tishayev I. Classification tasks solution of development geophysics with the help of wavelet analysis and artifical neural networks.

Українська версія

Thesis for the degree of Candidate of Sciences (CSc)

State registration number

0406U004237

Thesis Registration Form

0406U004237.pdf

Applicant for

Specialization

  • 04.00.22 - Геофізика

13-10-2006

Specialized Academic Board

Д 26.001.42

Taras Shevchenko National University of Kyiv

Essay

Object of research - basic factors which led to corruption wells survey data; the purpose of research - adaptation modern mathematical and cybernetic methods of data analysis for solution many of the tasks of classification that are typical enough for petroleum geophysics; Methods of research – continuous wavelet transform, discrete wavelet transform, spectral analysis, cluster analysis, dynamic cores method, artifical neural network; Scientific novelty - were done optimal processing graph of data reduction, Were devised a new method to building of attribute space that is based on the continuous wavelet transform of the survey data, devised new method of statistical classification (clustering), were building a new method to partition of borehole log with wide application of a continue wavelet transform in common with an artifical neural network.

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Files

Dissertation.doc

Dissertation.pdf

aref.doc

aref.pdf

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