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- W3038242511 abstract "Abstract Recognition of stratigraphic patterns or boundaries of any formation through well log data is a very decisive and critical part of hydrocarbon exploration in the petroleum industry. In the conventional method, the stratigraphic boundaries are not clearly distinguishable due to interference of low and high frequency noise in well log data. The Fourier transform and wavelet transform are spectrum based filtering method to delineate the stratigraphic boundaries using well log data, but it has some disadvantage of introducing the undesirable component of noise from log data into result. In the present study, we used the combined application of wavelet transform and Fourier transform to demarcate the stratigraphic boundaries. This two-fold frequency filtering operation is applied to natural gamma ray log data. Apart from this, we also demarcated these boundaries by wavelet based fractal dimension value and made a comparison with the previous method. We applied the proposed method on the natural gamma-ray log because it is sensitive to only the rock matrix of formation and indicates lithology better than other logs. In a comparative study of the result of both methods, it is clear that the wavelet-Fourier method fails to identify some boundaries in cases of the thin layers while wavelet based fractal of logging signal (WBFA) is able to resolve all boundaries and well correlated with the boundary identified by the conventional method. We have tested and validate the method on three synthetic signals including a thin layer in one signal and then demonstrated to the natural gamma ray well log data of the Limbodara oil field, Cambay basin." @default.
- W3038242511 created "2020-07-10" @default.
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- W3038242511 date "2020-10-01" @default.
- W3038242511 modified "2023-09-27" @default.
- W3038242511 title "Delineation of stratigraphic pattern using combined application of wavelet-Fourier transform and fractal dimension: A case study over Cambay Basin, India" @default.
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- W3038242511 doi "https://doi.org/10.1016/j.marpetgeo.2020.104562" @default.
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