Instantaneous spectral analysis applied to reservoir imaging and producibility characterization
Bibliographic record
Abstract
PreviousNext No AccessSEG Technical Program Expanded Abstracts 2003Instantaneous spectral analysis applied to reservoir imaging and producibility characterizationAuthors: Feng ShenGary C. RobinsonTao jiangFeng ShenEP Tech, Centennial, CO, 80112, Gary C. RobinsonEP Tech, Centennial, CO, 80112, and Tao jiangPetroChina Oil Company, Chinahttps://doi.org/10.1190/1.1817553 SectionsAboutPDF/ePub ToolsAdd to favoritesDownload CitationsTrack CitationsPermissions ShareFacebookTwitterLinked InRedditEmail Permalink: https://doi.org/10.1190/1.1817553FiguresReferencesRelatedDetailsCited byRESEARCH AND APPLICATION OF IMPROVED HIGH PRECISION MATCHING PURSUIT METHOD6 February 2018 | Chinese Journal of Geophysics, Vol. 60, No. 5An Innovative Approach to 3D Fracture Modeling11 November 2012Enhanced Dynamic Simulation through Continuous Fracture Modelling of Carbonate Reservoir, Oman11 November 2012Application of Low-Frequency Energy Increment Technology in Hydrocarbon Prediction1 February 2012 | Advanced Materials Research, Vol. 472-475Research of Spectrum Decomposition Method Based on Physical Wavelet Transform and Its Application31 May 2013 | Chinese Journal of Geophysics, Vol. 52, No. 4An integrated approach for 3D seismic‐based reservoir characterization: An example of northern Chezhen Sag, Shengli OilfieldJun Li, Hongluo Wang, Shaoguo Yang, and Jianxun Yang15 December 2008Integrated Property and Fracture Modeling Using 2D Seismic Data: Application to an Algerian Cambrian Field11 November 2007Seismically Driven Improved Fractured Reservoir Characterization7 November 2004Improved Reservoir Simulation With Seismically Derived Fracture Models26 September 2004Methodology and application of seismic prediction of gas‐bearing volcanic reservoirChuanjin Jiang, Shumin Chen, Erhua Zhang, and Deying Zhong3 January 2005 SEG Technical Program Expanded Abstracts 2003ISSN (print):1052-3812 ISSN (online):1949-4645Copyright: 2003 Pages: 2452 publication data© 2003 Copyright © 2003 Society of Exploration GeophysicistsPublisher:Society of Exploration Geophysicists HistoryPublished Online: 03 Jan 2005 CITATION INFORMATION Feng Shen, Gary C. Robinson, and Tao jiang, (2003), "Instantaneous spectral analysis applied to reservoir imaging and producibility characterization," SEG Technical Program Expanded Abstracts : 1406-1409. https://doi.org/10.1190/1.1817553 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 | 0.000 | 0.001 |
| 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 | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 0.002 |
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".