Elastic properties of Glauconite and Glauconitic sandstone reservoirs
Bibliographic record
Abstract
PreviousNext No AccessSEG Technical Program Expanded Abstracts 2001Elastic properties of Glauconite and Glauconitic sandstone reservoirsAuthors: Elizabeth DiazManika PrasadMario A. GutierrezJack DvorkinGary MavkoElizabeth DiazRock Physics Laboratory, Geophysics Department, Stanford University, Stanford, CA, Manika PrasadRock Physics Laboratory, Geophysics Department, Stanford University, Stanford, CA, Mario A. GutierrezRock Physics Laboratory, Geophysics Department, Stanford University, Stanford, CA, Jack DvorkinRock Physics Laboratory, Geophysics Department, Stanford University, Stanford, CA, and Gary MavkoRock Physics Laboratory, Geophysics Department, Stanford University, Stanford, CAhttps://doi.org/10.1190/1.1816468 SectionsAboutPDF/ePub ToolsAdd to favoritesDownload CitationsTrack CitationsPermissions ShareFacebookTwitterLinked InRedditEmail Permalink: https://doi.org/10.1190/1.1816468FiguresReferencesRelatedDetailsCited ByDetermination of Principal In-Situ Stress Magnitude from Well Logs in Unconventional Reservoirs: A Practical Application in Willesden Green Field, Canada18 November 2015 SEG Technical Program Expanded Abstracts 2001ISSN (print):1052-3812 ISSN (online):1949-4645Copyright: 2001 Pages: 2135 publication data© 2001 Copyright © 2001 Society of Exploration GeophysicistsPublisher:Society of Exploration Geophysicists HistoryPublished: 03 Jan 2005 CITATION INFORMATION Elizabeth Diaz, Manika Prasad, Mario A. Gutierrez, Jack Dvorkin, and Gary Mavko, (2001), "Elastic properties of Glauconite and Glauconitic sandstone reservoirs," SEG Technical Program Expanded Abstracts : 1772-1775. https://doi.org/10.1190/1.1816468 Plain-Language Summary PDF DownloadLoading ...
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".