The Interpolation of Sparse Geophysical Data
Sign Up to like & getrecommendations! Published in 2018 at "Surveys in Geophysics"
DOI: 10.1007/s10712-018-9501-3
Abstract: Geophysical data interpolation has attracted much attention in the past decades. While a variety of methods are well established for either regularly sampled or irregularly sampled multi-channel data, an effective method for interpolating extremely sparse… read more here.
Keywords: sparse geophysical; geophysical data; interpolation; data interpolation ... See more keywords
Interpreting regional 3D fault networks from integrated geological and geophysical data sets: An example from the Guichon Creek batholith, British Columbia
Sign Up to like & getrecommendations! Published in 2019 at "Journal of Structural Geology"
DOI: 10.1016/j.jsg.2018.12.007
Abstract: Abstract The effects of fault processes on rocks commonly include a lowered magnetic susceptibility and an increased predisposition to erosion. We present a workflow that uses these characteristics of faults and geological observations to interpret… read more here.
Keywords: geophysical data; creek batholith; data sets; guichon creek ... See more keywords
Integration of Geochemical and Geophysical Data to Characterize and Map Lateritic Regolith: An Example in the Brazilian Amazon
Sign Up to like & getrecommendations! Published in 2018 at "Geochemistry, Geophysics, Geosystems"
DOI: 10.1029/2017gc007352
Abstract: In tropical regions like the Amazon, there are extensive lateritic covers that have not been properly mapped, despite their economic-bearing minerals and their importance related to denudation and regolith landscape studies. To consolidate tools for… read more here.
Keywords: data characterize; lateritic duricrusts; geochemical geophysical; integration geochemical ... See more keywords
SAMA: Spatially-Aware Model-Agnostic Machine Learning Framework for Geophysical Data
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Access"
DOI: 10.1109/access.2023.3236802
Abstract: Geophysical data is a form of spatial data that suffers from various limitations when applying conventional machine learning algorithms and evaluation techniques. A key limitation facing models trained on geophysical data is their inability to… read more here.
Keywords: geophysical data; machine learning; tex math; inline formula ... See more keywords
Prediction of CO₂ Saturation Spatial Distribution Using Geostatistical Inversion of Time-Lapse Geophysical Data
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2020.3018910
Abstract: Carbon dioxide sequestration in deep saline aquifers and depleted reservoirs relies on numerical models for the prediction of the spatial distribution of CO2 saturation during injection and migration. Due to the limited knowledge of the… read more here.
Keywords: geophysical data; inversion; time; saturation ... See more keywords
Using airborne geophysical data in identifying tectonic lineaments in east of Iran
Sign Up to like & getrecommendations! Published in 2017 at "Geotectonics"
DOI: 10.1134/s0016852117030050
Abstract: In this paper we tried to identify the main tectonic lineaments in Eastern Iran including Lut block and Sistan suture zone from the airborne geomagnetic data together with tilt filter. As the map of obtained… read more here.
Keywords: east west; using airborne; tectonic lineaments; airborne geophysical ... See more keywords
Assessment of earthquake hazard for the northwestern Vietnam from geological and geophysical data using an original program package
Sign Up to like & getrecommendations! Published in 2017 at "Journal of Volcanology and Seismology"
DOI: 10.1134/s0742046317020063
Abstract: The highest seismic activity in Vietnam is observed in the northwest of the country, hence the practical significance of more accurate assessment of the earthquake hazard for the area. The worldwide experience of seismicity, in… read more here.
Keywords: geological geophysical; program package; earthquake hazard; geophysical data ... See more keywords
Adaptive Fusion Sampling Strategy Combining Geotechnical and Geophysical Data for Evaluating Two-Dimensional Soil Liquefaction Potential and Reconsolidation Settlement
Sign Up to like & getrecommendations! Published in 2023 at "Applied Sciences"
DOI: 10.3390/app13105931
Abstract: In engineering practice, properly characterizing the spatial distribution of soil liquefaction potential and induced surface settlement is essential for seismic hazard assessment and mitigation. However, geotechnical site investigations (e.g., cone penetration test (CPT)) usually provide… read more here.
Keywords: geophysical data; soil liquefaction; settlement; strategy ... See more keywords
tTEM20AAR: a benchmark geophysical data set for unconsolidated fluvioglacial sediments
Sign Up to like & getrecommendations! Published in 2021 at "Earth System Science Data"
DOI: 10.5194/essd-13-2743-2021
Abstract: Abstract. Quaternary deposits are complex and heterogeneous. They contain some of the most abundant and extensively used aquifers. In order to improve the knowledge of the spatial heterogeneity of such deposits, we acquired a large… read more here.
Keywords: geophysical data; set unconsolidated; benchmark geophysical; ttem20aar benchmark ... See more keywords