<i>dh2loop</i> 1.0: an open-source Python library for automated processing and classification of geological logs
<p>A huge amount of legacy drilling data is available in geological survey but cannot be used directly as they are compiled and recorded in an unstructured textual form and using different formats depending on the database structure, company, logging geologist, investigation method, investigat...
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| Autores principales: | , , , , |
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| Formato: | article |
| Lenguaje: | EN |
| Publicado: |
Copernicus Publications
2021
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| Materias: | |
| Acceso en línea: | https://doaj.org/article/c62c3a8769c44c26b8b0fd8c4d79a713 |
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| Sumario: | <p>A huge amount of legacy drilling data is available in
geological survey but cannot be used directly as they are compiled and recorded
in an unstructured textual form and using different formats depending on the
database structure, company, logging geologist, investigation method,
investigated materials and/or drilling campaign. They are subjective and
plagued by uncertainty as they are likely to have been conducted by tens to
hundreds of geologists, all of whom would have their own personal biases.
<i>dh2loop</i> (<span class="uri">https://github.com/Loop3D/dh2loop</span>, last access: 30 September 2021) is an open-source Python library for
extracting and standardizing geologic drill hole data and exporting them into
readily importable interval tables (collar, survey, lithology). In this
contribution, we extract, process and classify lithological logs from the
Geological Survey of Western Australia (GSWA) Mineral Exploration Reports (WAMEX) database
in the Yalgoo–Singleton greenstone belt (YSGB) region. The contribution also addresses the
subjective nature and variability of the nomenclature of lithological
descriptions within and across different drilling campaigns by using
thesauri and fuzzy string matching. For this study case, 86 % of the
extracted lithology data is successfully matched to lithologies in the
thesauri. Since this process can be tedious, we attempted to test the string
matching with the comments, which resulted in a matching rate of 16 %
(7870 successfully matched records out of 47 823 records). The standardized
lithological data are then classified into multi-level groupings that can be
used to systematically upscale and downscale drill hole data inputs for
multiscale 3D geological modelling. <i>dh2loop</i> formats legacy data bridging the gap
between utilization and maximization of legacy drill hole data and drill
hole analysis functionalities available in existing Python libraries
(<i>lasio</i>, <i>welly</i>, <i>striplog</i>).</p> |
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