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   Articles with "geophysical data" as a keyword



The Interpolation of Sparse Geophysical Data

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recommendations! 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

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recommendations! 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
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Integration of Geochemical and Geophysical Data to Characterize and Map Lateritic Regolith: An Example in the Brazilian Amazon

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recommendations! 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

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recommendations! 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

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recommendations! 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
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Using airborne geophysical data in identifying tectonic lineaments in east of Iran

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recommendations! 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

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recommendations! 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

Graph convolutional network for lithological classification and mapping using stream sediment geochemical data and geophysical data

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recommendations! Published in 2024 at "Geochemistry: Exploration, Environment, Analysis"

DOI: 10.1144/geochem2024-006

Abstract: Lithological mapping plays a vital role in acquiring a comprehensive understanding of subsurface rocks and geological structures. Traditional lithological mapping relies heavily on manual field surveys, with the accuracy of the mapping greatly constrained by… read more here.

Keywords: lithological classification; graph convolutional; geophysical data; convolutional network ... See more keywords

CIGVis: an open-source python tool for real-time interactive visualization of multidimensional geophysical data

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recommendations! Published in 2024 at "GEOPHYSICS"

DOI: 10.1190/geo2024-0041.1

Abstract: As Python’s role in processing and interpreting geophysical data expands, the need for a Python-based tool tailored for visualizing geophysical data has become increasingly criti- cal. In response, CIGVis was developed - a fully open-source… read more here.

Keywords: visualization; open source; tool; python tool ... See more keywords

Scaling Laws and Fractal Geometry: Insights into Geophysical Data Interpretations

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recommendations! Published in 2025 at "Journal Of The Geological Society Of India"

DOI: 10.17491/jgsi/2025/174196

Abstract: Fractals, characterised by self-similarity and scale invariance, have emerged as powerful tools for understanding complex systems in geophysics. This paper highlights the applications of fractal geometry in geophysical data interpretation. For instance, fractal analysis is… read more here.

Keywords: scaling laws; seismology; fractal geometry; geometry ... See more keywords
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Adaptive Fusion Sampling Strategy Combining Geotechnical and Geophysical Data for Evaluating Two-Dimensional Soil Liquefaction Potential and Reconsolidation Settlement

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recommendations! 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