Determination and modeling of lignite reserve using geostatistical analysis and GIS

Uyan, Mevlüt; Dursun, Arif Emre

doi:10.1007/s12517-021-06633-2

Cited by 6 publications

(4 citation statements)

References 32 publications

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“…The best estimator, which is linear and free of systematic variations, is the kriging approach. Nowadays, investigations involving geographical analysis typically use the kriging interpolation approach (Uyan & Dursun, 2021). Regression kriging is a very effective method for spatial interpolation, and findings from related investigations confirm this claim.…”

Section: Resultsmentioning

confidence: 91%

“…For many disciplines that investigate spatial events, GIS provides extremely powerful analysis capabilities. Since spatial phenomena are the foundation of geostatistics, many researchers have used geostatistical analysis associated with GIS technologies (Uyan & Dursun, 2021). Spatial interpolation is an important GIS function that is used for spatial query, spatial data visualization, and spatial decision-making processes in GIS and environmental science (Meng et al, 2013).…”

Section: Introductionmentioning

confidence: 99%

“…In terms of accuracy and precision, the use of kriging techniques in mining studies and reserve estimates has resulted in positive outcomes. The incorporation of GIS into these studies has elevated the mapping and visualization dimensions to new heights (Uyan & Dursun, 2021). (IDW) GU J Sci, Part A 10(4) 392-401 (2023) 10.54287/gujsa.1339151 is one of the interpolation techniques that is seen as being user-friendly.…”

Section: Introductionmentioning

confidence: 99%

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An Example of Kriging Method based on Environmental Temperature for Altitude Mapping Using ArcGIS Software

SALEHI,

ORAL

2023

Gazi University Journal of Science Part A: Engineering and Innovation

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The purpose of this study is to demonstrate how Geographic Information System (GIS) software can be used for geographical interpolation, geostatistical analysis, and the creation of maps using relatively sparse data and highlighting the significance of this software in engineering and decision making. The method used in this study is applying ordinary kriging analysis on a gathered database to develop a variation map with interpolation analysis. The selected Z-values are the altitude and Environmental temperature of the selected zone which can contain a vast range. GIS can recognize and analyze the spatial relationships that exist within digitally stored spatial data. This method can bring ease for collecting data from a location that may have difficulties in visiting and gathering data by hand. By the use of semivariogram which is a graphical representation, and the covariance between every pair of points are used to calculate the spatial relationships between interpolating points. As a result, the final output of ArcGIS is a developed map showing altitude variation in the central area of Istanbul. This option can be used in making complex maps in every desired area by predicting Z-values for all the wanted zone based on the given database. Hence, the utility of GIS can bring a great improvement and ease in decision making and planning in civil engineering branches such as transportation, infrastructure, soil mechanics, and construction.

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Section: Resultsmentioning

confidence: 91%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

An Example of Kriging Method based on Environmental Temperature for Altitude Mapping Using ArcGIS Software

SALEHI,

ORAL

2023

Gazi University Journal of Science Part A: Engineering and Innovation

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show abstract

“…where Z*(x → i ) = value at a neighboring location , (x → i ), λ i = weight of neighboring value and Z*(x → p ) = estimated value at the unsampled location (Uyan & Dursun, 2021). The estimation procedure calculates the weights λ i (assigned to neighboring locations, which depend on the spatial relationship between unsampled points and neighboring values as well as the spatial relationship between neighboring points (Uyan & Dursun, 2021). The relationships are obtained via the use of a variogram model.…”

Section: Introductionmentioning

confidence: 99%

Using geostatistics to generate a geological model of a sandstone petroleum reservoir in southern California

Vasquez¹,

Swift²

2022

Geographica Pannonica

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A variogram-based two-point geostatistical approach was applied to generate a geological model of a petroleum reservoir. The geology consists of a sandstone formation with uniformly inclined rock strata of equal dip angle structurally trapped by surrounding faults. Data exploration of electrical well logs using univariate/bivariate statistical tests and data transformation tools demonstrated the data to be statistically suitable for ordinary kriging and sequential Gaussian simulation. Three directions were defined as part of the variogram and the data were interpolated resulting in a 3D subsurface representation. Validation included performing a leave-one-out cross-validation for each well and statistical comparison of multiple realizations generated from a computed stochastic model. The results display a reliable geological model which indicate a direct causation of the continuity trends from the bedding attitude of the regional fault trap.

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Spatiotemporal evolution characteristics of comprehensive land carrying capacity of urban–rural interlaced zone: a case study of Chenggong, China

Yuan

2022

Arab J Geosci

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Determination and modeling of lignite reserve using geostatistical analysis and GIS

Cited by 6 publications

References 32 publications

An Example of Kriging Method based on Environmental Temperature for Altitude Mapping Using ArcGIS Software

An Example of Kriging Method based on Environmental Temperature for Altitude Mapping Using ArcGIS Software

Using geostatistics to generate a geological model of a sandstone petroleum reservoir in southern California

Spatiotemporal evolution characteristics of comprehensive land carrying capacity of urban–rural interlaced zone: a case study of Chenggong, China

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