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Shared Earth modeling / Michel Perrin (2013)

Public Titre : Shared Earth modeling : Knowledge driven solutions for building and managing subsurface 3D geological models Type de document : Monographie Auteurs : Michel Perrin, Éditeur scientifique ; Jean-François Rainaud, Éditeur scientifique Editeur : Paris : Technip Année de publication : 2013 Importance : 400 p. Format : 17 x 24 cm ISBN/ISSN/EAN : 978-2-70108-1002-5 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géologie [Termes IGN] acquisition de connaissances [Termes IGN] découverte de connaissances [Termes IGN] géostatistique [Termes IGN] maille carrée [Termes IGN] maille triangulaire [Termes IGN] modèle géologique [Termes IGN] modèle numérique de sous-sol [Termes IGN] modélisation 3D [Termes IGN] modélisation géologique volumique (MGV) [Termes IGN] ontologie [Termes IGN] optimisation (mathématiques) [Termes IGN] primitive volumique [Termes IGN] prospection minérale [Termes IGN] prospection pétrolière [Termes IGN] reconstruction 3D [Termes IGN] séisme [Termes IGN] service web Index. décimale : 47.70 Géologie, minéralogie, pédologie Résumé : (Editeur) Over the last two decades, earth modeling has become a major investigative tool for evaluating the potential of hydrocarbon reservoirs. Earth modeling must now face new challenges since petroleum exploration no longer consists in only investigating newly identified resources, but also in re-evaluating the potential of previously investigated reservoirs in the light of new prospecting data and of revised interpretations. Earth models incorporate a variety of different interpretations made on various types of data at successive steps of the modeling process. However, current modeling procedures provide no way to link a range of data and interpretations with a final earth model. For this reason, sharing and exchanging information about the model building process is at present a major difficulty. Recently, the term "Shared Earth Modeling" has been used for expressing the idea that earth models should be built in such a way that experts and end users can have access, at any time, to all the information incorporated into the model.This information does not only concern the data, but also the knowledge that geoscientists produce by interpreting these data. Accordingly, practical solutions must be studied for operating a knowledge-driven approach of Shared Earth Modeling. This is the goal of this book. This study of earth subsurface modeling is intended for several categories of readers. It concerns in the first place geologists, engineers and managers involved in the study and evaluation of subsurface reservoirs and hydrocarbon exploration. Relying on recent progress in various fields of computer sciences, the authors present innovative solutions for solving the critical issue of knowledge exchange at key steps of the modeling process. This book will also be of interest to researchers in computer science and, more generally, to engineers, researchers and students who wish to apply advanced knowledge-based techniques to complex engineering problems. Note de contenu : 1 - Earth models 2 - Knowledge oriented solutions 3 - Knowledge formalization 4 - Knowledge management & applications Conclusion Numéro de notice : 21520 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE/INFORMATIQUE Nature : Monographie Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=90344

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An adaptive method of non-stationary variogram modeling for DEM error surface simulation / Chuanfa Chen in Transactions in GIS, vol 16 n° 6 (December 2012)  

Public [article]  inTransactions in GIS > vol 16 n° 6 (December 2012) . - pp 885 - 899 Titre : An adaptive method of non-stationary variogram modeling for DEM error surface simulation Type de document : Article/Communication Auteurs : Chuanfa Chen, Auteur ; Yanyan Li, Auteur Année de publication : 2012 Article en page(s) : pp 885 - 899 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications photogrammétriques [Termes IGN] diagramme de Voronoï [Termes IGN] erreur [Termes IGN] modèle numérique de terrain [Termes IGN] Setchouan (Chine) [Termes IGN] simulation de surface [Termes IGN] variogramme Résumé : (Auteur) Geostatistical characterization of local DEM error is usually based on the assumption of a stationary variogram model which requires the mean and variance to be finite and constant in the area under investigation. However, in practice this assumption is appropriate only in a restricted spatial location, where the local experimental variograms vary slowly. Therefore, an adaptive method is developed in this article to model non-stationary variograms, for which the estimator and the indicator for characterization of spatial variation are a Voronoi map and the standard deviation of mean values displayed in the Voronoi map, respectively. For the adaptive method, the global domain is divided into different meshes with various sizes according to the variability of local variograms. The adaptive method of non-stationary variogram modeling is applied to simulating error surfaces of a LiDAR derived DEM located in Sichuan province, China. Results indicate that the locally adaptive variogram model is more accurate than the global one for capturing the characterization of spatial variation in DEM errors. The adaptive model can be considered as an alternative approach to modeling non-stationary variograms for DEM error surface simulation. Numéro de notice : A2012-619 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1111/j.1467-9671.2012.01326.x En ligne : https://doi.org/10.1111/j.1467-9671.2012.01326.x Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=32065 [article]

Designing a 3D model for the prediction of the top of formation in oil fields using geostatistical methods / M. Abdideh in Geocarto international, vol 27 n° 7 (November 2012)  

Public [article]  inGeocarto international > vol 27 n° 7 (November 2012) . - pp 569 - 579 Titre : Designing a 3D model for the prediction of the top of formation in oil fields using geostatistical methods Type de document : Article/Communication Auteurs : M. Abdideh, Auteur ; D. Bargahi, Auteur Année de publication : 2012 Article en page(s) : pp 569 - 579 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale [Termes IGN] estimation statistique [Termes IGN] géostatistique [Termes IGN] Iran [Termes IGN] krigeage [Termes IGN] modélisation 3D [Termes IGN] pétrole [Termes IGN] variogramme Résumé : (Auteur) The importance of hydrocarbon resources is known worldwide and access to liquid and gas hydrocarbon resources is only possible through drilling various geological formations. Drilling engineers' knowledge about subsurface conditions of oil-rich regions of Iran is only based on experience and quantitative assessment of geological and drilling reports. Using geostatistical methods, the qualitative experience can be converted into a quantitative one and a better result can be obtained. Asmari Formation is of great importance for drilling operations because most of the oil reservoirs in the southern parts of Iran are located in this formation. In this article, the geostatistical methods were used to build a three-dimensional (3D) model to determine the top of Asmari Formation. Data from 80 wells drilled in one oil field in southern Iran were prepared and analysed in order to build the 3D model of the top of Asmari Formation. Numéro de notice : A2012-543 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/10106049.2012.657695 Date de publication en ligne : 23/02/2012 En ligne : https://doi.org/10.1080/10106049.2012.657695 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=31989 [article]

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Spatio-temporal MODIS EVI gap filling under cloud cover: An example in Scotland / L. Poggio in ISPRS Journal of photogrammetry and remote sensing, vol 72 (August 2012)  

Public [article]  inISPRS Journal of photogrammetry and remote sensing > vol 72 (August 2012) . - pp 56 - 72 Titre : Spatio-temporal MODIS EVI gap filling under cloud cover: An example in Scotland Type de document : Article/Communication Auteurs : L. Poggio, Auteur ; A. Gimona, Auteur ; I. Brown, Auteur Année de publication : 2012 Article en page(s) : pp 56 - 72 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique [Termes IGN] classification pixellaire [Termes IGN] Ecosse [Termes IGN] image CMODIS [Termes IGN] interpolation [Termes IGN] krigeage [Termes IGN] nuage [Termes IGN] ombre [Termes IGN] résidu Résumé : (Auteur) Time series of satellite data have an important role in the monitoring of regional and global ecosystem properties. Satellite images often present missing data due to atmospheric aerosol, clouds or other atmospheric conditions. Most methods proposed to minimise the effects of degradation and to restore signal values do not take into account the spatial and temporal correlation of the values in the pixels. The aim of this study was to propose and test a spatio-temporal interpolation method to reconstruct pixel values in MODIS data time series that are missing due to cloud cover or other image noise. The method presented and tested is an example of a hybrid Generalised Additive Model (GAM)-geostatistical space-time model, including the fitting of a smoother spatio-temporal trend and a spatial component to account for local details supported by information in covariates. The method is not limited by the type of noise or degradation of pixels values, latitude, vegetation dynamics and land uses. The application of cloud masks on the target image provided the data for a quantitative validation through the comparison between the modelled EVI values and those from the MODIS product. The method was able to restore data providing very good to adequate responses in series of simulations of missing data. The comparison of distributions showed good agreement and predictive capabilities. The spatio-temporal method always performed better and the use of kriged residuals was helpful for situations with high percentages of missing data. The spatial pattern and the local features were well preserved for cloud coverage Numéro de notice : A2012-494 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2012.06.003 En ligne : https://doi.org/10.1016/j.isprsjprs.2012.06.003 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=31940 [article]

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Advances in spatial data handling and GIS / Wenzhong Shi (2012)  

Public Titre : Advances in spatial data handling and GIS : 14th international symposium on spatial data handling Type de document : Actes de congrès Auteurs : Wenzhong Shi, Éditeur scientifique ; Anthony G.O. Yeh, Éditeur scientifique ; Yee Leung, Éditeur scientifique ; Chenghu Zhou, Éditeur scientifique Editeur : Berlin, Heidelberg, Vienne, New York, ... : Springer Année de publication : 2012 Collection : Lecture notes in Geoinformation and Cartography, ISSN 1863-2246 Conférence : SDH 2010, 14th International Symposium on Spatial Data Handling, joint conference with ISPRS 26/05/2010 28/05/2010 Hong-Kong Hong-Kong Proceedings Springer Importance : 239 p. Format : 16 x 24 cm ISBN/ISSN/EAN : 978-3-642-25925-8 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géomatique [Termes IGN] analyse spatiale [Termes IGN] détection du bâti [Termes IGN] données localisées [Termes IGN] données spatiotemporelles [Termes IGN] érosion [Termes IGN] exploration de données géographiques [Termes IGN] extraction automatique [Termes IGN] généralisation [Termes IGN] indexation spatiale [Termes IGN] modélisation spatio-temporelle [Termes IGN] reconnaissance de formes [Termes IGN] risque environnemental [Termes IGN] service fondé sur la position [Termes IGN] système d'information géographique [Termes IGN] variogramme Résumé : (Editeur) This book provides a cross-section of cutting-edge research areas being pursued by researchers in spatial data handling and geographic information science (GIS). It presents selected papers on the advancement of spatial data handling and GIS in digital cartography, geospatial data integration, geospatial database and data infrastructures, geospatial data modeling, GIS for sustainable development, the interoperability of heterogeneous spatial data systems, location-based services, spatial knowledge discovery and data mining, spatial decision support systems, spatial data structures and algorithms, spatial statistics, spatial data quality and uncertainty, the visualization of spatial data, and web and wireless applications in GIS. Note de contenu : Part 1 - Modeling Space and Time 1. Deriving Space-Time Variograms from Space-Time Autoregressive (STAR) Model Specifications (Daniel A. Griffith and Gerard B.M. Heuvelink) Part 2 - Spatial Analysis and Mining 2. Sampling Survey of Heavy Metal in Soil Using SSSI (Aihua Ma, Jinfeng Wang, and Keli Zhang) 3. An Optimised Cellular Automata Model Based on Adaptive Genetic Algorithm for Urban Growth Simulation (Yongjiu Feng and Yan Liu) 4. Exploratory Spatial Data Analysis of Regional Economic Disparities in Beijing During 2001–2007 (Xiaoyi Ma and Tao Pei) 5. An Approach to Discovering Spatial–Temporal Patterns in Geographical Processes (Siyue Chai, Fenzhen Su, and Weiling Ma) Part 3 - Generalization and Indexing 6. Normalizing Spatial Information to Improve Geographical Information Indexing and Retrieval in Digital Libraries (Damien Palacio, Christian Sallaberry, and Mauro Gaio) 7. Explore Multivariable Spatio-Temporal Data with the Time Wave: Case Study on Meteorological Data (Xia Li and Menno-Jan Kraak) 8. Characterization and Detection of Building Patterns in Cartographic Data: Two Algorithms (Xiang Zhang, Tinghua Ai, and Jantien Stoter) 9. Formalization and Data Enrichment for Automated Evaluation of Building Pattern Preservation (Xiang Zhang, Jantien Stoter, Tinghua Ai, and Menno-Jan Kraak) Part 4 - Pattern Recognition and Object Extraction 10. Graph Based Recognition of Grid Pattern in Street Networks Jing Tian, Tinghua Ai, and Xiaobin Jia 11. Digital Image Processing for Spatial Object Recognition via Integration of Nonlinear Wavelet-Based Denoising and Clustering-Based Segmentation (Zhengmao Ye and Habib Mohamadian) 12. CCSSM: A Toolkit for Information Extraction from Remotely Sensed Imagery (Yong Ge, Chi Zhang, and Hexiang Ba) Part 5 - Location-Based Service 13. Evaluation of Automatically Extracted Landmarks for Future Driver Assistance Systems (Claus Brenner and Sabine Hofmann) 14. Temporally Adaptive A* Algorithm on Time-Dependent Transportation Network (Nianbo Zheng and Feng Lu) 15. Evaluation of Online Itinerary Planner and Investigation of Possible Enhancement Features (Homing Tam and L.S.C. Pun-Cheng) Part 6 - Application of GIS and Remote Sensing 16. A Decision Support Framework for the Risk Assessment of Coastal Erosion in the Yangtze Delta (Xing Li, Yunxuan Zhou, Fang Shen, Runyuan Kuang, Wen Wu, and Zongsheng Zheng) 17. Estimating Ice Thickness in South Georgia from SRTM Elevation Data (A. Paul R. Cooper, James W. Tate, and Alison J. Cook) Numéro de notice : 20993 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Actes DOI : 10.1007/978-3-642-25926-5 En ligne : http://dx.doi.org/10.1007/978-3-642-25926-5 Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=34956

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Interpolation spatiale / Pierre Bosser (2012) 

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Utilisation d'ArcGIS pour la production de livrables cartographiques dans le cadre d'un projet d'acquisition de connaissances sur les eaux souterraines / Jacques Gautier (2012)

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Potential of an ultraviolet, medium-footprint lidar prototype for retrieving forest structure / Tristan Allouis in ISPRS Journal of photogrammetry and remote sensing, vol 66 n° 6 supplement (December 2011)  

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Visual comparison of moving-window kriging models / Urška Demšar in Cartographica, vol 46 n° 4 (December 2011)  

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Improving the assessment of ICESat water altimetry accuracy accounting for autocorrelation / Hani Abdallah in ISPRS Journal of photogrammetry and remote sensing, vol 66 n° 6 (November 2011)  

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Terrestrial laser scan error in the presence of dense ground vegetation / S. Coveney in Photogrammetric record, vol 26 n° 135 (September - November 2011)  

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Street-level spatial interpolation using network-based IDW and ordinary kriging / N. Shiode in Transactions in GIS, vol 15 n° 4 (August 2011)  

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Image fusion by spatially adaptive filtering using downscaling cokriging / E. Pardo-Iguzquiza in ISPRS Journal of photogrammetry and remote sensing, vol 66 n° 3 (May - June 2011)  

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Télédétection et salinité. Cartographie de la salinité des sols de la plaine algérienne du Bas-Chéliff / A. Douaoui in Géomatique expert, n° 76 (01/09/2010)

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Evaluating terrestrial water storage variations from regionally constrained GRACE mascon data and hydrological models over Southern Africa: preliminary results / P. Krogh in International Journal of Remote Sensing IJRS, vol 31 n° 14 (July 2010)  

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