Application of Gamma Curves Wavelet Transform to Calculate Grain Size Parameters

Abstract

Abstract:

The information on grain size of reservoirs from gamma logging curves can be obtained and the grain size parameter can be extracted based on the dyadic wavelet transform. Considering the influence of sampling intervals caused by the measurement rate of logging tools, an algorithm for solving the system of recurrence equations concerning volume fraction in different kinds of grain size distributions was presented through analyzing the content by volume in different kinds of grain size distribution and the relationship between range and frequency of signal which was extracted after gamma logging curves changed. On the basis of this algorithm, the absolute volume content in different kinds of grain size distribution can be transformed into the relative volume fraction. Then the grain size parameters can be calculated including the median grain diameter, the average particle size, the sorting coefficient, the skewness and the kurtosis according to Trask or FolkWard formulae. Four wells like DB101 in Dabei area of Tarim Basin were selected to verify the applicability and reliability of this method. Moreover, compared with the sieve method, all kinds of parameter errors are within an acceptable range. The advantage of this method is that it can reduce the demand for the source of information, timing consuming and cost in contrast to the similar methods at home and abroad.

Key words: grain size parameter, wavelet transform, gamma logging curve, core, tight reservoir

YANG Ning, WANG Gui-Wen, LAI Jin, LI Jian-Lun, CANG Dan, JIANG Ji-Jun. Application of Gamma Curves Wavelet Transform to Calculate Grain Size Parameters[J]. Geoscience, 2012, 26(4): 778-783.

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