A Special Issue: Geomathematics in practice: Case studies from earth- and environmental sciences – Proceedings of the Croatian-Hungarian Geomathematical Congress, Hungary 2015

Hatvani, István Gábor; Horváth, Janina

doi:10.1515/geo-2016-0001

Cited by 3 publications

(1 citation statement)

References 12 publications

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“…Geostatistics include a number of methods and techniques to analyze the variability of spatially distributed or spatially structured regionalized variables [1]. The techniques, developed by Krige [2] and Matheron [3] to evaluate orebody, have been disseminated out into many other fields, utilising spatial data.…”

Section: Introductionmentioning

confidence: 99%

A Computer Program for Practical Semivariogram Modeling and Ordinary Kriging: A Case Study of Porosity Distribution in an Oil Field

Mert

Dağ

2017

Open Geosciences

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Abstract:In this study, firstly, a practical and educational geostatistical program (JeoStat) was developed, and then example analysis of porosity parameter distribution, using oilfield data, was presented. With this program, two or three-dimensional variogram analysis can be performed by using normal, log-normal or indicator transformed data. In these analyses, JeoStat offers seven commonly used theoretical variogram models (Spherical, Gaussian, Exponential, Linear, Generalized Linear, Hole Effect and Paddington Mix) to the users. These theoretical models can be easily and quickly fitted to experimental models using a mouse. JeoStat uses ordinary kriging interpolation technique for computation of point or block estimate, and also uses cross-validation test techniques for validation of the fitted theoretical model. All the results obtained by the analysis as well as all the graphics such as histogram, variogram and kriging estimation maps can be saved to the hard drive, including digitised graphics and maps. As such, the numerical values of any point in the map can be monitored using a mouse and text boxes. This program is available to students, researchers, consultants and corporations of any size free of charge. The JeoStat software package and source codes available at: http://www.jeostat.com/JeoStat_2017.0.rar

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Section: Introductionmentioning

confidence: 99%

A Computer Program for Practical Semivariogram Modeling and Ordinary Kriging: A Case Study of Porosity Distribution in an Oil Field

Mert

Dağ

2017

Open Geosciences

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Geostatistical evaluation of the design of the precipitation stable isotope monitoring network for Slovenia and Hungary

Hatvani

Szatmári

Kern

et al. 2021

Environment International

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Geostatistical screening of flood events in the groundwater levels of the diverted inner delta of the Danube River: implications for river bed clogging

et al. 2018

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The efficient operation of shallow groundwater (SGW) monitoring networks is crucial to water supply, in-land water protection, agriculture and nature conservation. In the present study, the spatial representativity of such a monitoring network in an area that has been thoroughly impacted by anthropogenic activity (river diversion/damming) is assessed, namely the Szigetköz adjacent to the River Danube. The main aims were to assess the spatial representativity of the SGW monitoring network in different discharge scenarios, and investigate the directional characteristics of this representativity, i.e. establish whether geostatistical anisotropy is present, and investigate how this changes with flooding. After the subtraction of a spatial trend from the time series of 85 shallow groundwater monitoring wells tracking flood events from 2006, 2009 and 2013, variography was conducted on the residuals, and the degree of anisotropy was assessed to explore the spatial autocorrelation structure of the network. Since the raw data proved to be insufficient, an interpolated grid was derived, and the final results were scaled to be representative of the original raw data. It was found that during floods the main direction of the spatial variance of the shallow groundwater monitoring wells alters, from perpendicular to the river to parallel with it for over a period of about two week. However, witht the passing of the flood, this returns to its original orientation in ~2 months. It is likely that this process is related first to the fast removal of clogged riverbed strata by the flood, then to their slower replacement. In addition, the study highlights the importance of assessing the direction of the spatial autocorrelation structure of shallow groundwater monitoring networks, especially if the aim is to derive interpolated maps for the further investigation or modeling of flow.

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A Special Issue: Geomathematics in practice: Case studies from earth- and environmental sciences – Proceedings of the Croatian-Hungarian Geomathematical Congress, Hungary 2015

Abstract: Abstract:The present paper aims to introduce the current problems of geomathematics along with giving on overview on the papers published in the special issue covering the Croatian-Hungarian Geomathematical Congress of 2015 in Hungary.

Cited by 3 publications

References 12 publications

A Computer Program for Practical Semivariogram Modeling and Ordinary Kriging: A Case Study of Porosity Distribution in an Oil Field

A Computer Program for Practical Semivariogram Modeling and Ordinary Kriging: A Case Study of Porosity Distribution in an Oil Field

Geostatistical evaluation of the design of the precipitation stable isotope monitoring network for Slovenia and Hungary

Geostatistical screening of flood events in the groundwater levels of the diverted inner delta of the Danube River: implications for river bed clogging

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