Vikas Chand Baranwal

Norwegian Geological Survey

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Jan Steinar Rønning

Norwegian Geological Survey

Marco Brönner

Norwegian Geological Survey

Yunhe Liu

Jilin University

Alexandros Stampolidis

Aristotle University of Thessaloniki

Inger‐Lise Solberg

Norwegian Geological Survey

Bo Zhang

Jilin University

Shashi Prakash Sharma

Indian Institute of Technology Kharagpur

Changchun Yin

Jilin University

Einar Dalsegg

Norwegian Geological Survey

Yang Su

Jilin Province Science and Technology Department

Cooperative Institutions

Norwegian Geological Survey

Jilin University

Norwegian University of Science and Technology

Jilin Province Science and Technology Department

University of Oslo

Norwegian University of Life Sciences

Posten (Norway)

Norwegian Radiation and Nuclear Safety Authority

University of Bergen

Norwegian Geotechnical Institute

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Integrated Geophysical Studies around a hot spring in Orissa

Vikas Chand Baranwal Sanskar Sharma

Hot spring

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3D airborne electromagnetic data inversion basing on the block coordinate descent method

Geophysics (2024)

Bo Zhang Kelin Qu Changchun Yin Yunhe Liu Xiuyan Ren

Airborne electromagnetic (AEM) surveys usually cover a large area and create a large amount of data. This has limited the application of 3D AEM inversions. To make 3D AEM data inversion at a large scale possible, the local mesh method has been developed to avoid solving large matrix equations in 3D AEM modeling. However, the local mesh only saves the computational cost and memory during forward modeling and Jacobian calculations. When the survey area is very large, the cost for storing and solving the inversion equations can be very high. This brings significant challenges to practical 3D AEM inversions. To solve this problem, we develop a 3D scheme based on the block coordinate descent (BCD) method for inversions of large-scale AEM data. The BCD method divides the inversion for large models into series of small-local inversions, so that we can avoid solving the large matrix equations. Numerical experiments determine that the BCD method can obtain very similar results to those from the existing inversion methods but saves huge amounts of memory.

Coordinate Descent

Descent (aeronautics)

10.1190/geo2023-0673.1

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Geophysical and geotechnical studies of geology and sediment properties at a quick-clay landslide site at Esp, Trondheim, Norway

Engineering Geology (2016)

Inger‐Lise Solberg Michael Long Vikas Chand Baranwal Anders Samstad Gylland Jan Steinar Rønning

Electrical Resistivity Tomography

Geotechnical investigation

10.1016/j.enggeo.2016.04.031

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Citations (51)

Data-driven classification of bedrocks by the measured uranium content using self-organizing maps

Applied Geochemistry (2021)

Ying Wang Marco Brönner Vikas Chand Baranwal Hendrik Paasche Alexandros Stampolidis

Hazard map

Uranium ore

10.1016/j.apgeochem.2021.105074

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Editorial for Special Issue “Using Geophysical Inversion for Mineral Exploration: Methods and Applications”

Minerals (2024)

Dikun Yang Vikas Chand Baranwal Björn Heincke

Today, minerals are playing a critical role in the transition from fossil fuel-based energy systems to renewable and sustainable energy sources (Owen et al [...]

Mineral exploration

Sustainable Energy

10.3390/min14080751

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Parametrisation of wet deposition in the SNAP atmospheric dispersion model

Journal of Hazardous Materials (2025)

Magnus Ulimoen Erik Berge Heiko Klein Anne Liv Rudjord Vikas Chand Baranwal

Parametrisation of wet deposition of radionuclides is considered a main contributor of uncertainties in atmospheric dispersion models employed within nuclear emergency preparedness and risk management. In order to reduce these uncertainties the current work aimed to improve the parametrisation of the Severe Nuclear Accident Programme (SNAP) dispersion model by implementing new codes for in-cloud and below-cloud wet scavenging processes. The new parametrisation was validated by comparing model outputs with the following observation data from areas affected by the Chernobyl accident: A gridded dataset of deposition in Europe, a recently digitised environmental monitoring dataset of soil deposition, and airborne surveys from two areas in Norway. Comparison with observations from Norwegian soil data showed improvements in normalised mean bias for the new schemes, while comparison with observations from Europe as a whole showed improvements in metrics factor 2, 5, and 10, Pearson correlation coefficients and normalised mean bias when compared to the original scheme in SNAP.

Deposition

Snap

10.1016/j.jhazmat.2025.137457

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Wavelet-based 3-D inversion for frequency-domain airborne EM data

Geophysical Journal International (2017)

Yunhe Liu Colin G. Farquharson Changchun Yin Vikas Chand Baranwal

In this paper, we propose a new wavelet-based 3-D inversion method for frequency-domain airborne electromagnetic (FDAEM) data. Instead of inverting the model in the space domain using a smoothing constraint, this new method recovers the model in the wavelet domain based on a sparsity constraint. In the wavelet domain, the model is represented by two types of coefficients, which contain both large- and fine-scale informations of the model, meaning the wavelet-domain inversion has inherent multiresolution. In order to accomplish a sparsity constraint, we minimize an L1-norm measure in the wavelet domain that mostly gives a sparse solution. The final inversion system is solved by an iteratively reweighted least-squares method. We investigate different orders of Daubechies wavelets to accomplish our inversion algorithm, and test them on synthetic frequency-domain AEM data set. The results show that higher order wavelets having larger vanishing moments and regularity can deliver a more stable inversion process and give better local resolution, while the lower order wavelets are simpler and less smooth, and thus capable of recovering sharp discontinuities if the model is simple. At last, we test this new inversion algorithm on a frequency-domain helicopter EM (HEM) field data set acquired in Byneset, Norway. Wavelet-based 3-D inversion of HEM data is compared to L2-norm-based 3-D inversion's result to further investigate the features of the new method.

Smoothing

Synthetic data

Classification of discontinuities

10.1093/gji/ggx545

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Citations (35)

Acquisition And Application Of Aero-Magnetometry In Norway And On The Norwegian Shelf

Proceedings (2018)

M. Broenner Odleiv Olesen R. Myklebust Jan Steinar Rønning Marie‐Andrée Dumais

Magnetometry is one of the oldest geophysical methods and it is probably the first one which was applied to exploration. Significant technologically achievements in instrumentation and positioning made the application a fast and effective method to map geological and tectonic settings over large areas. Strong interaction of the Earth's magnetic field in the Arctic with external fields, mostly deriving from the sun, can disturb the magnetic signal from the crust and makes the acquisition at such high latitude extremely challenging. The Geological survey of Norway has more than 60 years of experience with airborne magnetic acquisition and together with TGS has acquired aeromagnetic data over Norway and almost the entire Norwegian shelf. The data contribute to characterize the underlying basement lithology on the Norwegian shelf, understanding better the tectonic processes of the sedimentary basins and the crustal heat flow. In the oceanic domain, seafloor spreading anomalies are predominant to identify the limit of the oceanic crust and allow plate reconstruction to better understand the opening of the North Atlantic.

Seafloor Spreading

Basement

Lithology

10.3997/2214-4609.201802086

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ASSESMENT OF AIRBORNE GEOPHYSICAL DATA FOR GEOLOGICAL AND ENVIRONMENTAL IMPACT IN PARTS OF LOPPA AND KVAENANGEN MUNICIPALITIES, TROMS AND FINNMARK COUNTY, NORWAY.

International Multidisciplinary Scientific GeoConference SGEM ... (2020)

Alexandros Stampolidis Vikas Chand Baranwal Frode Ofstad Georgios Tassis

10.5593/sgem2020/1.2/s05.058

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The control of shear‐zone development and electric conductivity by graphite in granulite: An example from the Proterozoic Lofoten‐Vesterålen Complex of northern Norway

Terra Nova (2021)

Ane K. Engvik Håvard Gautneb Vikas Chand Baranwal J.S. Rønning Janja Knežević Solberg

Abstract Graphite impacts crustal rheology and electric conductivity in the lower crust. In a combined geophysical and geological study from the Proterozoic Lofoten‐Vesterålen Complex, Norway, we show the enrichment of graphite resulted in zones with strong schistosity and a sharp strain gradient towards host massive granulite gneiss. Increased graphite content resulted in high‐conductivity zones with true resistivity values <10 Ωm compared with a resistivity of >3,000 Ωm in the low‐conductive crust. The regionally distributed graphite zones contain up to 39% graphite with variable amounts of quartz, feldspars, biotite and pyroxenes and where graphite is present in stable assemblage to orthopyroxene. High‐ordered graphite and biotite with a strong‐preferred orientation define the well‐developed foliation. Our results demonstrate that graphite accounts for the high electric conductivity of this former Proterozoic lower‐crustal segment. The presence of graphite causes strain localisation in the granulite facies crust, reducing crustal strength and may thereby influence continental architecture and evolution of collision zones.

10.1111/ter.12545

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Citations (6)