Improvements to Frequency Decomposition Methodologies for Use with Broad Bandwidth Seismic Datasets

Lowell, James; Eckersley, A.; Kristensen, T.; Szafián, P.; McArdle, Nicholas

doi:10.3997/2214-4609.20140488

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2018

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“…This interplay of colors allows for more geologic detail to been seen than when using amplitude alone. There are several types of frequency decomposition available; this study will focus on continuous wavelet transform (CWT) and matching pursuit algorithms (Lowell et al, 2014) to achieve the desired outputs.…”

Section: Theorymentioning

confidence: 99%

Revealing Geologic Features in the Midland Basin Through Frequency Decomposition

Moore¹

2018

Proceedings of the 6th Unconventional Resources Technology Conference

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The URTeC Technical Program Committee accepted this presentation on the basis of information contained in an abstract submitted by the author(s). The contents of this paper have not been reviewed by URTeC and URTeC does not warrant the accuracy, reliability, or timeliness of any information herein. All information is the responsibility of, and, is subject to corrections by the author(s). Any person or entity that relies on any information obtained from this paper does so at their own risk. The information herein does not necessarily reflect any position of URTeC. Any reproduction, distribution, or storage of any part of this paper by anyone other than the author without the written consent of URTeC is prohibited.

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Section: Theorymentioning

confidence: 99%

Revealing Geologic Features in the Midland Basin Through Frequency Decomposition

Moore¹

2018

Proceedings of the 6th Unconventional Resources Technology Conference

View full text Add to dashboard Cite

show abstract

Improvements to Frequency Decomposition Methodologies for Use with Broad Bandwidth Seismic Datasets

Cited by 1 publication

References 3 publications

Revealing Geologic Features in the Midland Basin Through Frequency Decomposition

Revealing Geologic Features in the Midland Basin Through Frequency Decomposition

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