Geostatistics in Geotechnical Engineering: Fad or Empowering?

Hammah, R.E.; Curran, J.H.

doi:10.1061/40803(187)102

Cited by 10 publications

(4 citation statements)

References 2 publications

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“…From the juxtaposition of V INT -versus-depth, we generate 2D V INT profiles for the analysis results of velocity-versus-depth for each CMP gather. To make the visual interpretation easier, we use the kriging interpolation method [82] to generate (Figures 6 and 7). We repeat the process for low stage and high stage sections and generate a low stage minus high stage profile.…”

Section: Migrationmentioning

confidence: 99%

Seepage-Induced Pore Pressure Variations Beneath an Earthen Levee Measured with a Novel Seismic Tool

Locci-Lopez

Lorenzo

2023

Geosciences

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Shear-wave seismic reflection velocity-versus-depth models can complement our understanding of seepage pore pressure variations beneath earthen levees at locations between geotechnical sites. The seasonal variations of water level in the Mississippi River create pore pressure changes in the adjacent hydraulically connected aquifer on the protected side of artificial levees. Time-lapse shear-wave velocity analysis or repetition of seismic acquisition over an area is a non-invasive method that can detect seasonal pore pressure variations in shallow (<40 m) aquifers. The seismic reflection patterns during the seasonal pore pressure variations of the river show a distinctive change in the velocity semblance analysis, which is translated as a change in the average stress carried by the grain-to-grain contact, or simply the effective pressure. The seismic data show a greater variation of up to +140/−40 m/s or +700/−150 kPa in the confined aquifer zone, compared with the leaky confined aquifer zone of up to +46/−48 m/s or +140/−80 kPa. These relative effective pressure characteristics allow us to distinguish between confined and leaky aquifers and can be an optional approach for pressure prediction in floodplains along levees without the need to drill borings in the area to measure piezometric data.

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Section: Migrationmentioning

confidence: 99%

Seepage-Induced Pore Pressure Variations Beneath an Earthen Levee Measured with a Novel Seismic Tool

Locci-Lopez

Lorenzo

2023

Geosciences

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“…Beside that still the geo-statistical parameters and algorithms are not well known for geotechnical engineers. [12] 2. What is geo-statistics In 1950's Georges Matheron recognized the approaches of the geologist D.G Krige in spatially correlating large amount of data in predicting a real gold concentrations in South Africa.…”

Section: Introductionmentioning

confidence: 99%

Integrating Geo-Statistics and Geographic Information Systems in Geotechnical Soil Profiling

Ismail

Fatah

Hefny

2015

ERJ. Engineering Research Journal

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Since it s evolution, Geotechnical engineering is considered one of the sciences that deeply based on uncertainties. These uncertainties are attributed to two facts. First fact, the formulas used in geotechnical engineering are empirical formulas and could be deeply affected by the nonhomogeneity of soil formation. The second fact is that always the soil is being characterized through a group of boreholes that are considered representative for the whole site, which could result in the missing of some anomalies in soil composition. Hence, geo-technical engineers are always looking for a technique, that can be used in dealing with these uncertainties. Several techniques were adopted starting from the sixties of the previous century like knowledge base expert systems, finite element analysis and finally geo-statistics. But the most sidelined of these techniques was geo-statistics due to several reasons. Hence, this paper tries to introduce geostatistics focusing on its applications in geotechnical engineering specially in soil profiling. It discusses the reason behind the fact that still the actual implementation of Geo-statistics in Geotechnical engineering is without real presence in the traditional work of any geotechnical engineer. Moreover, it introduces a look ahead towards actual implementation of Geo-statistics in soil profiling through the integration between one of the most mature geo-statistical software (Sgems) and the GIS software which is ARCGIS of ESRI

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“…Bieniawski 9 Barton et al 10 Rock Mass index (RMi) 11 Geological Strength Index (GSI) 12 Hoek 3 Rafiee and Vinches 4 Ellefmo and Eidsvik 5 Ferrari et al 6…”

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confidence: 99%

Evaluation of Rock Mass Quality in Underground Section of Anguran Mine Using Geostatistical Analyst in GIS Environment

Taghavi

Hamidi

Sayadi

2016

jgit

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Rock mass characterization is one of the most important parameters affecting the underground mine design. This study deals with the prediction of rock mass quality using geo-statistical estimator in Anguran underground mine at the level +2740. For this, a database consisting of 427 Q-based rock mass quality data sets was developed during the development of mine drifts. Accordingly, data were analyzed and checked for normality, trend and anisotropy. Analysis on Q-data showed that: 1-they do not have a normal distribution, 2there are neither global nor local outliers in data 3-the data seem to exhibit a trend. In this study, the Universal Kriging was used due to existing trend in datasets. Taking into consideration five estimation error evaluation criteria, the best Variogram model was selected among three models: exponential, spherical and Gaussian. The results showed that spherical variogram model provides the best fit to the data's spatial structure. Cross validation showed high accuracy level for performance of geo-statistical estimator. Accordingly, the rock mass quality map for the area under study built in ArcGIS environment. The analysis results of final rock mass quality map revealed that about 53% of under study area has poor to extremely poor rock mass condition, 8% has fair and 39% has good to extremely good rock mass condition.

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Geostatistics in Geotechnical Engineering: Fad or Empowering?

Cited by 10 publications

References 2 publications

Seepage-Induced Pore Pressure Variations Beneath an Earthen Levee Measured with a Novel Seismic Tool

Seepage-Induced Pore Pressure Variations Beneath an Earthen Levee Measured with a Novel Seismic Tool

Integrating Geo-Statistics and Geographic Information Systems in Geotechnical Soil Profiling

Evaluation of Rock Mass Quality in Underground Section of Anguran Mine Using Geostatistical Analyst in GIS Environment

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