Logging identification of lithology in fine-grained sedimentary rocks based on the FSSA-HKELM model:...
Logging identification of lithology in fine-grained sedimentary rocks based on the FSSA-HKELM model: a case study of the Qingshankou Formation in the Songliao Basin (NE China)
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Tallinn: Estonian Academy Publishers
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Language
English
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Tallinn: Estonian Academy Publishers
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Contents
The lithology distribution of fine-grained sedimentary rocks in regional space plays a crucial role in guiding the exploration of oil shale layers. Identifying lithology by conventional logging information is efficient and cost-effective However, the strong inhomogeneity of fine-grained sedimentary rocks leads to a complex nonlinear relationship be...
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Full title
Logging identification of lithology in fine-grained sedimentary rocks based on the FSSA-HKELM model: a case study of the Qingshankou Formation in the Songliao Basin (NE China)
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TN_cdi_doaj_primary_oai_doaj_org_article_6e83a434f0194b2dbb27b56185c03bca
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_6e83a434f0194b2dbb27b56185c03bca
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ISSN
0208-189X
E-ISSN
1736-7492
DOI
10.3176/oil.2024.3.02
