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Abstract
PreviousNext No AccessSEG Technical Program Expanded Abstracts 20013‐D inversion of gravity gradiometer dataAuthors: Yaoguo LiYaoguo LiGravity and Magnetics Research Consortium, Department of Geophysics, Colorado School of Mines, Golden, COhttps://doi.org/10.1190/1.1816383 SectionsAboutPDF/ePub ToolsAdd to favoritesDownload CitationsTrack CitationsPermissions ShareFacebookTwitterLinked InRedditEmail Permalink: https://doi.org/10.1190/1.1816383FiguresReferencesRelatedDetailsCited byAn Improved 3D Magnetization Inversion Based on Smoothness Constraints in Spherical Coordinates14 November 2022 | Magnetochemistry, Vol. 8, No. 11Joint inversion of gravity and gravity gradient data: A systematic evaluationJoseph Capriotti and Yaoguo Li10 February 2022 | GEOPHYSICS, Vol. 87, No. 22B ve 3B Yorumlama Teknikleriyle Tuz Gölü'nün Güneybatısında Toplanmış Gravite Verilerinin İncelenmesi17 January 2022 | Deu Muhendislik Fakultesi Fen ve Muhendislik, Vol. 24, No. 70Three Integrating Methods for Gravity and Gravity Gradient 3-D Inversion and Their Comparison Based on a New Function of Discrete StabilityIEEE Transactions on Geoscience and Remote Sensing, Vol. 60The Advantage Analysis of 3-D Inversion of Airborne Gravity Gradiometry Data With Larger Sampling IntervalIEEE Transactions on Geoscience and Remote Sensing, Vol. 60Uncertainty analysis of 3D potential-field deterministic inversion using mixed Lp normsXiaolong Wei and Jiajia Sun1 October 2021 | GEOPHYSICS, Vol. 86, No. 6Geology differentiation by applying unsupervised machine learning to multiple independent geophysical inversions9 August 2021 | Geophysical Journal International, Vol. 227, No. 3Understanding the information content in gravity gradiometry data through constrained inversions for salt bodiesElizabeth Maag-Capriotti and Yaoguo Li20 July 2021 | GEOPHYSICS, Vol. 86, No. 4Joint inversion of potential-fields data over the DO-27 kimberlite pipe using a Gaussian mixture model priorThibaut Astic, Dominique Fournier, and Douglas W. Oldenburg12 October 2020 | Interpretation, Vol. 8, No. 4Focusing iterative migration of gravity gradiometry data acquired in the Nordkapp Basin, Barents Sea15 July 2020 | Geophysical Prospecting, Vol. 68, No. 7Enhancement and Sharpening the Migration Images of the Gravity Field and Its Gradients23 December 2019 | Pure and Applied Geophysics, Vol. 177, No. 6Evaluating gravity gradient components based on a reweighted inversion method6 April 2020 | Applied Geophysics, Vol. 16, No. 4Geology differentiation of geophysical inversions using machine learningAline Tavares Melo* and Yaoguo Li28 September 2019Kantorovich-Rubinstein misfit for inverting gravity-gradient data by the level-set methodGuanghui Huang, Xinming Zhang, and Jianliang Qian14 August 2019 | GEOPHYSICS, Vol. 84, No. 5Enhancing and sharpening the migration images of gravity field and its gradientsXiaolei Tu and Michael S. Zhdanov10 August 2019Understanding the influence of different forms of prior information in gravity gradiometry imaging of a salt bodyElizabeth Maag-Capriotti and Yaoguo Li10 August 2019Equivalent source processing of vector gravity dataJoseph Capriotti and Yaoguo Li10 August 20193D sharp-boundary inversion of potential-field data with an adjustable exponential stabilizing functionalMing Hu, Peng Yu, Chunfeng Rao, Chongjin Zhao, and Luolei Zhang5 June 2019 | GEOPHYSICS, Vol. 84, No. 43D inversion of airborne gravity gradiometry data for the Budgell Harbour Stock, Newfoundland: A case history using a probabilistic approachMeixia Geng, J. Kim Welford, Colin G. Farquharson, and Alexander L. Peace28 May 2019 | GEOPHYSICS, Vol. 84, No. 4Gravitational gradients derived from GOCE and density structures beneath the North China CratonJournal of Asian Earth Sciences, Vol. 1743D inversion of full gravity gradient tensor data in spherical coordinate system using local north-oriented frame16 April 2018 | Earth, Planets and Space, Vol. 70, No. 1Quantifying the error level in computed magnetic amplitude data for 3D magnetization inversionCamriel Coleman and Yaoguo Li21 September 2018 | GEOPHYSICS, Vol. 83, No. 5Large Airborne Full Tensor Gradient Data Inversion Based on a Non-Monotone Gradient Method21 November 2017 | Pure and Applied Geophysics, Vol. 175, No. 3Inversion of airborne geophysics over the DO-27/DO-18 kimberlites — Part 1: Potential fieldsSarah G. R. Devriese, Kristofer Davis, and Douglas W. Oldenburg18 April 2017 | Interpretation, Vol. 5, No. 3Geological characterization applying k-means clustering to 3D magnetic, gravity gradient, and DC resistivity inversions: A case study at an iron oxide copper gold (IOCG) depositAline Melo and Yaoguo Li1 September 2016Mining and Geothermal Complete Session1 September 2016Inversion of gravity gradient tensor data: does it provide better resolution?12 February 2016 | Geophysical Journal International, Vol. 205, No. 1A level-set method for imaging salt structures using gravity dataWenbin Li, Wangtao Lu, and Jianliang Qian3 March 2016 | GEOPHYSICS, Vol. 81, No. 2Fast Density Inversion Solution for Full Tensor Gravity Gradiometry Data8 July 2015 | Pure and Applied Geophysics, Vol. 173, No. 2Fast 3D inversion of gravity data using Lanczos bidiagonalization method17 July 2014 | Arabian Journal of Geosciences, Vol. 8, No. 7Lithologic characterization using airborne gravity gradient and aeromagnetic data for mineral exploration: A case study in the Quadrilátero Ferrífero, BrazilCericia Martinez and Yaoguo Li16 February 2015 | Interpretation, Vol. 3, No. 2Quantitative geophysical interpretation of gravity gradient and magnetic data over a buried carbonatite: The Elk Creek deposit, Nebraska, USAM. Andy Kass, Benjamin J. Drenth, Leon Foks, and Joseph Capriotti22 April 2015Feasibility 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. 2A local level-set method for 3D inversion of gravity-gradient dataWangtao Lu and Jianliang Qian2 January 2015 | GEOPHYSICS, Vol. 80, No. 13D stochastic joint inversion of borehole gravity and gravity gradient data using cokrigingMeixia Geng*, Danian Huang, Ping Yu, and Qingjie Yang5 August 2014Large-scale inversion of gravity gradiometry with differential equationsEldad Haber, Elliot Holtham, and Kristofer Davis5 August 20143D inversion of airborne gravity-gradiometry data using cokrigingMeixia Geng, Danian Huang, Qingjie Yang, and Yinping Liu30 May 2014 | GEOPHYSICS, Vol. 79, No. 4Evaluating the utility of gravity gradient tensor componentsMark Pilkington6 November 2013 | GEOPHYSICS, Vol. 79, No. 1Massively parallel regularized 3D inversion of potential fields on CPUs and GPUsComputers & Geosciences, Vol. 62Interpretation of tensor gravity data using an adaptive tilt angle method16 May 2013 | Geophysical Prospecting, Vol. 61, No. 5Iterative migration of gravity and gravity gradiometry dataLe Wan and Michael S. Zhdanov19 August 2013Feasibility of time-lapse gravity gradiometry for SAGD monitoringAnya Reitz, Richard Krahenbuhl, and Yaoguo Li19 August 20133D inversion of airborne gravity gradiometry data in mineral exploration: A case study in the Quadrilátero Ferrífero, BrazilCericia Martinez, Yaoguo Li, Richard Krahenbuhl, and Marco Antonio Braga14 December 2012 | GEOPHYSICS, Vol. 78, No. 1Large-scale 3D inversion of potential field data7 February 2012 | Geophysical Prospecting, Vol. 60, No. 6Single-hole imaging using borehole gravity gradiometryHyoungrea Rim and Yaoguo Li30 August 2012 | GEOPHYSICS, Vol. 77, No. 5Iron ore interpretation using gravity-gradient inversions in the Carajás, BrazilDionísio Uendro Carlos, Leonardo Uieda, Yaoguo Li, Valéria C. F. Barbosa, Marco A. Braga, Glauco Angeli, and Guilherme Peres25 October 2012Feasibility analysis of time-lapse gravity gradiometry for reservoir monitoringAnya Reitz, Richard A. Krahenbuhl, Yaoguo Li, and Dan DiFrancesco25 October 2012Robust 3D gravity gradient inversion by planting anomalous densitiesLeonardo Uieda and Valéria C. F. Barbosa22 June 2012 | GEOPHYSICS, Vol. 77, No. 4Analysis of gravity gradiometer inverse problems using optimal design measuresMark Pilkington16 February 2012 | GEOPHYSICS, Vol. 77, No. 2Lithologic characterization using magnetic and gravity gradient data over an iron ore formation in the Quadrilátero Ferrífero, Minas Gerais, BrazilCericia Martinez, Yaoguo Li, Richard Krahenbuhl, and Marco Braga13 March 2014Three-dimensional gravity modelling and focusing inversion using rectangular meshes7 June 2011 | Geophysical Prospecting, Vol. 713D potential field migration for rapid imaging of gravity gradiometry data — A case study from Broken Hill, Australia, with comparison to 3D regularized inversionMichael S. Zhdanov, Xiaojun Liu, Le Wan, Martin Čuma, and Glenn A. Wilson8 August 2011Lithologic characterization using magnetic and gravity gradient data over an iron ore formationCericia Martinez, Yaoguo Li, Richard Krahenbuhl, and Marco Braga25 May 2012Inversion of regional gravity gradient data over the Vredefort Impact Structure, South AfricaCericia Martinez and Yaoguo Li25 May 2012In‐depth imaging of an iron orebody from Quadrilatero Ferrifero using 3D gravity gradient inversionDionísio Uendro Carlos, Leonardo Uieda, Valéria C. F. Barbosa, Marco A. Braga, and Antonio Augusta Seabra Gomes25 May 2012Comparison of two approaches for considering laterally varying density in topographic effect on satellite gravity gradiometric data28 December 2009 | Acta Geophysica, Vol. 58, No. 4Rapid imaging of gravity gradiometry data using 2D potential field migrationMichael S. Zhdanov, Xiaojun Liu, and Glenn A. Wilson21 October 2010Single‐borehole imaging using gravity gradiometer dataHyoungrea Rim and Yaoguo Li21 October 20103D Inversion of airborne gravity gradiomentry for iron ore exploration in BrazilCericia Martinez, Yaoguo Li, Richard Krahenbuhl, and Marco Braga21 October 2010Rapid gravity and gravity gradiometry terrain correction via adaptive quadtree mesh discretizationKristofer Davis, M. Andy Kass, and Yaoguo Li21 October 2010The effect of lateral density variations of crustal and topographic masses on GOCE gradiometric data — A study in Iran and FennoscandiaActa Geodaetica et Geophysica Hungarica, Vol. 44, No. 4Hybrid optimization for lithologic inversion and time-lapse monitoring using a binary formulationRichard A. Krahenbuhl and Yaoguo Li11 December 2009 | GEOPHYSICS, Vol. 74, No. 6Preprocessing of gravity gradients at the GOCE high-level processing facility30 October 2008 | Journal of Geodesy, Vol. 83, No. 7Current status of AWE programmes for remote detection of SNMTensor deconvolution: A method to locate equivalent sources from full tensor gravity dataValentin Mikhailov, Gwendoline Pajot, Michel Diament, and Antony Price18 July 2007 | GEOPHYSICS, Vol. 72, No. 5Inversion of gravity data using a binary formulationGeophysical Journal International, Vol. 167, No. 2 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 Online: 03 Jan 2005 CITATION INFORMATION Yaoguo Li, (2001), "3‐D inversion of gravity gradiometer data," SEG Technical Program Expanded Abstracts : 1470-1473. https://doi.org/10.1190/1.1816383 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.
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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) | 0.002 | 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 it