Simon Fraser University2y
Geostatistical Methods of Interpolation
Consequently, geostatistical techniques are also known as ‘kriging’. Geostatistical methods are founded in the principles of statistical spatial autocorrelation. They are suited to situations when the ...
Frontiers9d
Advances in Geostatistical Learning
Geostatistical Learning (GL) is an emerging field within geostatistics that integrates statistical (machine) learning with geospatial data (Hoffimann et al. 2021). Despite its recent introduction, GL ...
IEEE1mon
Application of conditional geostatistical simulation to calculate the probability of occurrence of earthquakes belonging to a seismic series
In this sense, conditional geostatistical simulation is applied to calculate the probability of occurrence of an earthquake with a lower than or equal magnitude to one determined during a seismic ...
University of Wyoming10mon
Dr. Dario Grana
Grana D., Azevedo L., de Figueiredo L., Connolly P., and Mukerji T., Probabilistic inversion of seismic data for reservoir characterization, Geophysics, 1-47. Grana D ...
Frontiers1mon
SmoGSI: smoothed multiscale iterative geostatistical seismic inversion
Iterative geostatistical seismic inversion is a vital technique for estimating subsurface properties. However, a conventional single-scale strategy faces challenges in preserving large-scale ...
GitHub6mon
Spatial and spatio-temporal geostatistical modelling, prediction and simulation.
Spatio-Temporal Interpolation using gstat. The R Journal 8(1), 204-218 The older publication, Pebesma, E.J. and C.G. Wesseling, 1998. Gstat, a program for geostatistical modelling, prediction and ...
University of Delaware4y
Holly Michael
Coastal groundwater dynamics; groundwater flow and solute transport modeling; groundwater-surface water interaction; water supply sustainability; geostatistical modeling; hydro-economics.
ValOre Metals Announces Non-Brokered Private Placement to Raise CAD $3.5 Million
Not for distribution to United States newswire services or for dissemination in the United States.VANCOUVER, British Columbia, Sept. 19, 2024 ...
ValOre Partners with VRIFY to Leverage AI Mineral Targeting Platform to Accelerate Discovery Process
ValOre and VRIFY will leverage a significant proprietary data set to target new discoveries and expand the extent of known mineralized zones. The data is derived from exploration conducted at the ...
ValOre Provides Exploration Update and Reports Initial Trado® Auger and Rock Assay Results; Salvador Target, Pedra Branca PGE Project, Brazil;
ValOre Metals Corp. (“ValOre”; TSX‐V: VO; OTCQB: KVLQF; Frankfurt: KEQ0, “the Company”) today provided an update on the ...
Dundee Precious Metals Provides Čoka Rakita Project Update and Additional Results from Infill Drilling Program, including 74 metres at 27.3 g/t Au
Dundee Precious Metals Inc. (TSX: DPM) (“DPM” or “the Company”) today provided an update on its Čoka Rakita project, where ...
IEEE1y
Spatial estimation of fundamental mode dispersion curves using geostatistical techniques
Abstract: This paper proposes the use of geostatistical techniques to estimate dispersion curves between other known ones. To do it, we introduce two novel methodologies: the stacking method and the ...