Time lapse gravity gradiometry for reservoir monitoring
Bibliographic record
Abstract
PreviousNext No AccessSEG Technical Program Expanded Abstracts 2002Time lapse gravity gradiometry for reservoir monitoringAuthors: Daniel J. DiFrancescoManik TalwaniDaniel J. DiFrancescoLockheed Martin and Manik TalwaniTalwani Associateshttps://doi.org/10.1190/1.1817377 SectionsAboutPDF/ePub ToolsAdd to favoritesDownload CitationsTrack CitationsPermissions ShareFacebookTwitterLinked InRedditEmail Permalink: https://doi.org/10.1190/1.1817377FiguresReferencesRelatedDetailsCited byReferences16 November 2022Feasibility of time-lapse gravity and gravity gradiometry monitoring for steam-assisted gravity drainage reservoirsAnya Reitz, Richard Krahenbuhl, and Yaoguo Li9 March 2015 | GEOPHYSICS, Vol. 80, No. 2Performance of airborne gravity gradiometersMark H. Dransfield and Asbjorn N. Christensen5 August 2013 | The Leading Edge, Vol. 32, No. 8Feasibility analysis of time-lapse gravity gradiometry for reservoir monitoringAnya Reitz, Richard A. Krahenbuhl, Yaoguo Li, and Dan DiFrancesco25 October 20126. Gravity Exploration MethodsM. N. Nabighian, M. E. Ander, V. J. S. Grauch, R. O. Hansen, T. R. LaFehr, Y. Li, W. C. Pearson, J. W. Peirce, J. D. Phillips, and M. E. Ruder21 March 2012Historical development of the gravity method in explorationM. N. Nabighian, M. E. Ander, V. J. S. Grauch, R. O. Hansen, T. R. LaFehr, Y. Li, W. C. Pearson, J. W. Peirce, J. D. Phillips, and M. E. Ruder3 November 2005 | GEOPHYSICS, Vol. 70, No. 6Gravimetric monitoring of gas production from the Troll fieldOla Eiken, Mark Zumberge, Torkjell Stenvold, Glenn Sasagawa, and Scott Nooner3 January 2005 SEG Technical Program Expanded Abstracts 2002ISSN (print):1052-3812 ISSN (online):1949-4645Copyright: 2002 Pages: 2478 publication data© 2002 Copyright © 2002 Society of Exploration GeophysicistsPublisher:Society of Exploration Geophysicists HistoryPublished Online: 03 Jan 2005 CITATION INFORMATION Daniel J. DiFrancesco and Manik Talwani, (2002), "Time lapse gravity gradiometry for reservoir monitoring," SEG Technical Program Expanded Abstracts : 787-790. https://doi.org/10.1190/1.1817377 Plain-Language Summary PDF DownloadLoading ...
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.009 | 0.003 |
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".