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Record W4232800545 · doi:10.1190/1.1816434

Seismic Repeatability, Normalized RMS and Predictability

2001· article· en· W4232800545 on OpenAlexaboutno aff
Ed Kragh, P. A. F. Christie

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicSeismic Imaging and Inversion Techniques
Canadian institutionsnot available
Fundersnot available
KeywordsPredictabilityRepeatabilityComputer scienceGeologyStatisticsMathematics

Abstract

fetched live from OpenAlex

PreviousNext No AccessSEG Technical Program Expanded Abstracts 2001Seismic Repeatability, Normalized RMS and PredictabilityAuthors: Ed KraghPhil ChristieEd KraghSchlumberger Cambridge Research, High Cross, Madingley Road, Cambridge, CB3 OEL, U.K. and Phil ChristieSchlumberger Cambridge Research, High Cross, Madingley Road, Cambridge, CB3 OEL, U.K.https://doi.org/10.1190/1.1816434 SectionsAboutPDF/ePub ToolsAdd to favoritesDownload CitationsTrack CitationsPermissions ShareFacebookTwitterLinked InReddit Permalink: https://doi.org/10.1190/1.1816434FiguresReferencesRelatedDetailsCited byTupi Nodes pilot: A successful 4D seismic case for Brazilian presalt reservoirsNathalia Martinho Cruz, José Marcelo Cruz, Leonardo Márcio Teixeira, Mônica Muzzette da Costa, Laryssa Beatriz de Oliveira, Eduardo Naomitsu Urasaki, Thais Pontes Bispo, Manoel de Sá Jardim, Marcos Hexsel Grochau, and Alexandre Maul1 December 2021 | The Leading Edge, Vol. 40, No. 12Time-lapse seismic monitoring of individual hydraulic frac stages using a downhole DAS arrayGrant Byerley, Dave Monk, Peter Aaron, and Mike Yates2 November 2018 | The Leading Edge, Vol. 37, No. 11Time lapse seismic monitoring of individual hydraulic frac stages using a downhole DAS array; Part 1 — Field experiment and observationsGrant Byerley, Dave Monk, Mike Yates, and Peter Aaron27 August 20184D Seismic Monitoring of a CO2-EOR Demonstration Project in a Desert Environment: Acquisition, Processing and Initial Results23 April 2018Re-saturation targets identified from 4D seismic softening responses in the Forties Field16 January 2017 | Geological Society, London, Petroleum Geology Conference Series, Vol. 8, No. 1Processing Frequent 4D Land Seismic Data with Buried Sensors for CO2 Monitoring6 March 2017Resaturated pay: A new infill target type identified through the application and continuous improvement of 4D seismic at the Forties FieldGrant Byerley, Lyndsay Singer, and Phil Rose3 October 2016 | The Leading Edge, Vol. 35, No. 10Seismic Assisted History Matching Using Binary Image Matching1 June 2015Reservoir monitoring of steam-assisted gravity drainage using borehole measurements23 May 2014 | Geophysical Prospecting, Vol. 62, No. 4Using 4D Seismic to Validate the Geomodel for the South Arne Chalk Field16 September 2013Monitoring and volumetric estimation of injected CO 2 using 4D seismic, petrophysical data, core measurements and well logging: a case study at Ketzin, Germany3 April 2012 | Geophysical Prospecting, Vol. 60, No. 54D seismic monitoring applied to SAGD operations at Surmont, Alberta, CanadaGrant Byerley, Greg Barham, Tim Tomberlin, and Bryan Vandal14 October 2009Development of the method to evaluate the distribution of injected carbon dioxide and physical parameters by means of time-lapse 3D seismic surveyJournal of the Japanese Association for Petroleum Technology, Vol. 73, No. 2A case of SI attenuation in 4D seismic data recorded with a permanently installed arrayJan H. Kommedal, Per Helge Semb, and Ted Manning6 April 2007 | GEOPHYSICS, Vol. 72, No. 3Valhall life‐of‐field seismic: Quantitative analysis of 4D attributes on decimated data setsPedro Páramo, Jean‐Paul van Gestel, Ted Manning, Dave Howe, and Richard Clarke14 September 2007Processing strategies for multiple repeat 4D seismicJan H. Kommedal, Olav I. Barkved, Jean‐Paul van Gestel, and Ruth S. H. Pettersen14 September 20074D seismic monitoring of the onshore carbon dioxide injection in JapanAkio Sakai8 November 2012Repeatability issues of time-lapse marine seismic dataOla Eiken14 September 2005Mapping seismic inversion uncertainties with an application to time lapse dataLeon Barens and Aline Franchet7 December 20054D repeatability beyond twice—using varianceJan H. Kommedal and Olav I. Barkved7 December 2005New quality control method for time‐lapse seismic processingLong Jin, Xiaohong Chen, and Jingye Li3 January 2005 SEG Technical Program Expanded Abstracts 2001 ISSN (print):1052-3812 ISSN (online):1949-4645 Copyright: 2001 Pages: 2135 publication data© 2001 Copyright © 2001 Society of Exploration GeophysicistsPublisher:Society of Exploration Geophysicists HistoryPublished Online: 03 Jan 2005 CITATION INFORMATION Ed Kragh and Phil Christie, (2001), "Seismic Repeatability, Normalized RMS and Predictability," SEG Technical Program Expanded Abstracts : 1656-1659. https://doi.org/10.1190/1.1816434 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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.198
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.000

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.

Opus teacher head0.013
GPT teacher head0.217
Teacher spread0.204 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations32
Published2001
Admission routes1
Has abstractyes

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