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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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Link: https://matilda.science/work/0f4d3aaf-4491-4c60-8785-65458d02d4c0 · read at 2026-09-29T01:06:10Z · held by reference: only the link, the quoted excerpts with their hashes, and the page hash when the reader had the bytes are stored

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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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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...

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