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An integrated method for permeability prediction and fluid identification in tight sandstone reservoirs using geological-prior-guided attention networks SECONDARY_TEXT
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FETCHED at 2026-09-29T01:51:08Z · https://matilda.science/work/0f4d3aaf-4491-4c60-8785-65458d02d4c0 · seq 20314
| Excerpt | Finding |
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| This study uses data from 12 cored wells in the Chang 8 Member, Jiyuan Oilfield (western Ordos Basin) to develop a permeability-driven integrated workflow fo... | not found — this server looked at the page and did not find the passage |
| We then design a well-log-based sweet-spot index (Issp) and embed it as a geological prior through an attention-gating mechanism to form a knowledge-guided m... | not found — this server looked at the page and did not find the passage |
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| Locator | Excerpt |
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QUOTE {} | This study uses data from 12 cored wells in the Chang 8 Member, Jiyuan Oilfield (western Ordos Basin) to develop a permeability-driven integrated workflow for reservoir evaluation. We first build an SE-ResNet18 model with one-dimensional... |
QUOTE {} | We then design a well-log-based sweet-spot index (Issp) and embed it as a geological prior through an attention-gating mechanism to form a knowledge-guided model (KG-SE-ResNet18). This knowledge guidance improves reservoir-type classific... |