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    <responseDate>2026-10-15T00:03:53Z</responseDate>
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    <identifier>10.57760/sciencedb.37380</identifier>
    <datestamp>2026-05-25T18:04:32Z</datestamp>
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  <dc:date>2026-05-25</dc:date>
  <dc:title>Well logs and lithology data of five wells for salt rock identification in the Tarim Basin</dc:title>
  <dc:identifier>doi:10.57760/sciencedb.37380</dc:identifier>
  <dc:language>en</dc:language>
  <dc:description>This dataset supports the research in the article &amp;quot;Salt Rock Logging Identification Method Based on CNN BiLSTM Attention&amp;quot;. The data comes from five wells (Bo1 ‑ 1, Bo1 ‑ 2, Bo1 ‑ 3, Bo1 ‑ 5, and Bo1 ‑ 7) in the Keping fault uplift in the northwest margin of the Tarim Basin, including six conventional logging curves (natural gamma GR, deep resistivity RD, shallow resistivity RS, acoustic time difference AC, density DEN, well diameter CAL) and corresponding lithologic labels (0-background, 1-salt rock). The data has been processed into samples using a sliding window (with 101 sampling points and a step size of 5), which can be used for the research of intelligent recognition methods for evaporite rocks such as salt rocks.&amp;nbsp;</dc:description>
  <dc:subject>Tarim Basin; Keping fault-uplift; salt rock identification; well logging data; lithology classification; deep learning; CNN-BiLSTM-Attention; small-sample learning</dc:subject>
  <dc:creator>Qiao Bingru</dc:creator>
  <dc:rights>EMBARGO</dc:rights>
  <dc:rights>https://creativecommons.org/licenses/by-sa/4.0/</dc:rights>
  <dc:type>dataset</dc:type>
  <dc:publisher>Science Data Bank</dc:publisher>
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