Mapping of basement structure beneath the Kohima Synclinorium, north-east India via Bouguer gravity data modelling

Kumar, Ch. Ravi; Kesiezie, N; Pathak, Babul; Maiti, Saumen; Tiwari, R. K.

doi:10.1007/s12040-019-1326-z

Cited by 5 publications

(2 citation statements)

References 15 publications

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“…It also summarized that the region is still under the influence of E-W stresses, apparently directed from the east. Moreover, isostatic adjustment is an ongoing process in the area, being located to the south of the Shillong plateau with a strong positive Bouguer gravity anomaly (Ravi Kumar et al, 2020). According to the recorded seismicity data, it can be stated that Tripura is mostly struck by a moderate earthquake activity.…”

Section: Seismotectonic Settings and Geological History Of Tripuramentioning

confidence: 99%

Assessment on the impact of the Tripura earthquake (January 3, 2017, mw = 5.6) in Northeast India

Debbarma

Debnath

2021

J GEOGR INST CVIJIC

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The northeastern part of the Indian subcontinent, considered as the most active seismic zone of the Indian subcontinent, was hit by an earthquake of Mw 5.6 on January 3, 2017. The epicenter of this earthquake was Kanchanbari located in the Dhalai district of Tripura. The present study aims to assess the environmental and socio-economic impact of this earthquake in the vicinity of the epicenter. To assess and determine the level of damage, the affected areas were visited during the first week of the 2017 earthquake. Various Government offices were also consulted to acquire data on damages caused by the earthquake. Moreover, Remote Sensing and Geographical Information System (RS & GIS) techniques were applied to address the influence of this earthquake on bank erosion. During the field visit, the striking features of soil liquefaction generated by the earthquake were observed in the flood plain area of the Manu River. Landslide, with three casualties in India and the neighbor Bangladesh, and damages of infrastructure were also reported. Additionally, an assessment of the bank erosion study revealed that the rate of the post-earthquake bank erosion increased to 592%, compared to the pre-earthquake bank erosion within the study length of the Manu River. The findings highlighted that the impact of this earthquake is minimal. However, the seismotectonic features and observation of the liquefaction within the risk zone of the earthquake indicate a possible significant threat for the future.

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Section: Seismotectonic Settings and Geological History Of Tripuramentioning

confidence: 99%

Assessment on the impact of the Tripura earthquake (January 3, 2017, mw = 5.6) in Northeast India

Debbarma

Debnath

2021

J GEOGR INST CVIJIC

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“…The advantages of these methods are relatively low cost, high productivity of work, and the possibility to obtain information about large territories in great depth. Many examples of successful applications of potential methods in different areas of the world and for solving both prospecting and theoretical geologic problems are described [30][31][32]. In the first stages, the inversion of geophysical data is carried out in two dimensions and for each method separately [33][34][35][36][37][38].…”

Section: Introductionmentioning

confidence: 99%

Robust 3D Joint Inversion of Gravity and Magnetic Data: A High-Performance Computing Approach

Del Razo Gonzalez,

Yutsis

2023

Applied Sciences

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One of the fundamental challenges in geophysics is the calculation of distribution models for physical properties in the subsurface that accurately reproduce the measurements obtained in the survey and are geologically plausible in the context of the study area. This is known as inverse modeling. Performing a 3D joint inversion of multimodal geophysical data is a computationally intensive task. Additionally, since it involves a modeling process, finding a solution that matches the desired characteristics requires iterative calculations, which can take days or even weeks to obtain final results. In this paper, we propose a robust numerical solution for 3D joint inversion of gravimetric and magnetic data with Gramian-based structural similarity and structural direction constraints using parallelization as a high-performance computing technique, which allows us to significantly reduce the total processing time based on the available Random-Access Memory (RAM) and Video Random-Access Memory (VRAM)and improve the efficiency of interpretation. The solution is implemented in the high-level programming languages Fortran and Compute Unified Device Architecture (CUDA) Fortran, capable of optimal resource management while being straightforward to implement. Through the analysis of performance and computational costs of serial, parallel, and hybrid implementations, we conclude that as the inversion domain expands, the processing speed could increase from 4× up to 100× times faster, rendering it particularly advantageous for applications in larger domains. We tested our algorithm with two synthetic data sets and field data, showing better results than standard separate inversion. The proposed method will be useful for joint geological and geophysical interpretation of gravimetric and magnetic data used in exploration geophysics for example minerals, ore, and petroleum search and prospecting. Its application will significantly increase the reliability of physical-geological models and accelerate the process of data processing.

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A deep CNN-LSTM model for predicting interface depth from gravity data over thrust and fold belts of North East India

Maiti,

Chiluvuru

2024

Journal of Asian Earth Sciences

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Mapping of basement structure beneath the Kohima Synclinorium, north-east India via Bouguer gravity data modelling

Cited by 5 publications

References 15 publications

Assessment on the impact of the Tripura earthquake (January 3, 2017, mw = 5.6) in Northeast India

Assessment on the impact of the Tripura earthquake (January 3, 2017, mw = 5.6) in Northeast India

Robust 3D Joint Inversion of Gravity and Magnetic Data: A High-Performance Computing Approach

A deep CNN-LSTM model for predicting interface depth from gravity data over thrust and fold belts of North East India

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