Actas de congresos
Well Log Denoising By Wavelet Transform And Classification Algorithm
Registro en:
9781617829666
73rd European Association Of Geoscientists And Engineers Conference And Exhibition 2011: Unconventional Resources And The Role Of Technology. Incorporating Spe Europec 2011. Society Of Petroleum Engineers, v. 7, n. , p. 5620 - 5622, 2011.
2-s2.0-80052514844
Autor
Honorio B.C.Z.
Sanchetta A.C.
Vidal A.C.
Leite E.P.
Institución
Resumen
It is well known that signals obtained as responses from geological media contain kind of noises that can affect the lithological interpretation. Wavelet transform is more suitable than Fourier transform to denoise non-stationary signals, such as well logs. However, there are several parameters that must be considered when working with the wavelet transform, such as the wavelet basis function, the thresholding rule and the decomposition level. This study analyzes the well logs denoising process by discrete wavelet transform combined with classification algorithm, and investigates how different combination of parameters affects the output signals and their performance on the lithological classification. 7
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