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Geoscientific Instrumentation, Methods and Data Systems An interactive open-access journal of the European Geosciences Union

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https://doi.org/10.5194/gi-2016-25
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
Research article
28 Sep 2016
Review status
A revision of this discussion paper was accepted for the journal Geoscientific Instrumentation, Methods and Data Systems (GI) and is expected to appear here in due course.
Geological Stratigraphy and Spatial Distribution of Microfractures over Costa Rica Convergent Margin, Central America – A Wavelet-Fractal Analysis
Upendra K. Singh, Thinesh Kumar, and Rahul Prajapati Department of Applied Geophysics, Indian School of Mines, Dhanbad-826 004, India
Abstract. Identification of spatial variation of lithology, as a function of position and scale, is very critical job for lithology modelling in industry. Wavelet Transform (WT) is an efficacious and powerful mathematical tool for time (position) and frequency (scale) localization. It has numerous advantages over Fourier Transform (FT) to obtain frequency and time information of a signal. Initially Continuous Wavelet Transform (CWT) is applied on gamma ray logs of two different Well sites (Well-1039 & Well-1043) of Costa Rica Convergent Margin, Central America for identifications of lithofacies distribution and fracture zone later Discrete Wavelet Transform (DWT) applied to DPHI log signals to show its efficiency in discriminating small changes along the rock matrix irrespective of the instantaneous magnitude to represent the fracture contribution from the total porosity recorded. Further the data of the appropriate depths partitioned using above mathematical tools are utilized separately for WBFA. As consequences of CWT operation it is found that there are four major sedimentary layers terminated with a concordant igneous intrusion passing through both the wells. In addition of WBFA analysis, it is clearly understanding that the fractal dimension value is persistent in first sedimentary layers and the last gabbroic sill intrusions. Inconsistent value of fractal dimension is attributed to fracture dominant in intermediate sedimentary layers it is also validate through core analysis. Fractal Dimension values suggest that the sedimentary environments persisting in that well locations bears abundant shale content and of low energy environments.

Citation: Singh, U. K., Kumar, T., and Prajapati, R.: Geological Stratigraphy and Spatial Distribution of Microfractures over Costa Rica Convergent Margin, Central America – A Wavelet-Fractal Analysis, Geosci. Instrum. Method. Data Syst. Discuss., https://doi.org/10.5194/gi-2016-25, in review, 2016.
Upendra K. Singh et al.
Interactive discussionStatus: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
Printer-friendly Version - Printer-friendly version      Supplement - Supplement
 
RC1: 'comments', Anonymous Referee #1, 01 Dec 2016 Printer-friendly Version 
AC1: 'revised manuscript gi 2016-25', Upendra Singh, 12 Jan 2017 Printer-friendly Version Supplement 
 
RC2: 'major revision', Anonymous Referee #2, 13 Dec 2016 Printer-friendly Version 
AC2: 'Reply to comments over manuscript gi 2016-25', Upendra Singh, 12 Jan 2017 Printer-friendly Version Supplement 
Upendra K. Singh et al.
Upendra K. Singh et al.

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Short summary
CWT was applied for lithology detection over Costa Rica margin. Gamma log as best indicator was applied for the same and its spatial variation. It is observed that there four major sedimentary layer terminated with gabbroic sill. DWT applied on density log to identify the small changes in rock matrix. According the data is partitioned in to different depth for wavelet based fractal analysis. This analysis indicates that certain portion of well contains abundant shale and low energy environment.
CWT was applied for lithology detection over Costa Rica margin. Gamma log as best indicator was...
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