Assisted stratigraphic sequence interpretation from well log data using {Continuous} {Wavelet} {Transform}

@inproceedings{letellier_assisted_RM2024,
 abstract = {Borehole interpretation is an essential task in subsurface studies. However, it is a time-consuming work, and different possible scenarios for a same input signal may be produced by different experts. The goal of this work is, additionally, to propose a set of acceptable interpretations. Thus, recent studies have proposed some tools to automate this task. Continuous Wavelet Transform (CWT) is a signal processing technique which analyses well logs considering both the depth and the wavelength of geological structures. This method transforms a one-dimensional signal into a two-dimensional image (scalogram), without loss of information. The scalogram outlines stratigraphic structures at different scales. This paper presents the first results of application of CWT on borehole data using different types of wavelets, and the associated geological interpretations that can be retrieved from the resulting scalograms. These scalograms are then processed to extract information about possible locations of stratigraphic surfaces and to identify stratigraphic sequences.},
 author = {Letellier, Loïs and Caumon, Guillaume and Robin, Cécile},
 booktitle = {Proc. 2024 RING Meeting},
 language = {en},
 pages = {9},
 publisher = {ASGA},
 title = {Assisted stratigraphic sequence interpretation from well log data using {Continuous} {Wavelet} {Transform}},
 year = {2024}
}