Particle swarm optimization (PSO) is a global strategy that simulates the social behavior observed in flock (swarm) of birds searching for food. A simple search PSO guides algorithm toward best solution through constant updating cognitive knowledge and particles swarm. To evaluate applicability to inversion geophysical data, we inverted three noise-corrupted synthetic sounding data sets over multilayered 1D earth model by using DC, induced polarization (IP), magnetotelluric (MT) methods. The...

Self-potential signals and resistivity data can be jointly inverted or analyzed to track the position of burning front an underground coal-seam fire. We first investigate magnitude thermoelectric coupling associated with presence a thermal anomaly (thermoelectric current gradient). A sandbox experiment is developed modeled show that in heat source, negative self-potential expected at ground surface. The sensitivity coefficient typically on order [Formula: see text] silica sand saturated by...

Abstract Understanding the factors that control variability of oxygen isotopic ratios (δ 18 O) Indian Summer Monsoon (ISM) rainfall O p ) is vital importance for interpretation δ derived from climate proxies (e.g., speleothem and tree ring cellulose) this region. Here we demonstrate moisture transport pathways on spatiotemporal variations ISM using a new set daily observations central northern India previously reported data aided by simulations an isotope‐enabled General Circulation Model....

Amplitude of the 2-D analytic signal magnetic anomaly profile is independent directions Earth's field vector and remnant magnetization causative source. It exhibits peaks corresponding to locations corners a source, modelled by say polygon. also peak different idealized source geometries related structural indices. This amplitude computed from first-order horizontal vertical derivatives observed relatively less noisy than second-order derivatives. The can be directly measured Particle swarm...

ABSTRACT A unified interpretation technique, based on the computation of total gradient from first order horizontal and vertical derivatives a measured anomaly, namely, magnetic, gravity or self‐potential, can be used to determine location, depth, nature causative source geometry. The gradient, in general, may exhibit several symmetrical bell‐shaped functions different magnitudes with decay rates ‐termed as ‘source geometry factor’ describe sources. ‐values have been presented for idealized...

An audiomagnetotelluric (AMT) study has been carried out in the Bakreswar Hot Spring (BHS) area of eastern India to locate geothermal source vicinity BHS. Phase-tensor analysis AMT data shows that region is broadly 2D. Rapid relaxation inversion (RRI) for both transverse-electric (TE) and transverse-magnetic (TM) modes obtain resistivity images subsurface. results show north-south fault close a shallow feature, not deeper than [Formula: see text], thus cannot act as heat source. The...

Dipole–dipole resistivity and induced polarisation (IP) surveys were conducted over a conductor identified from an audiomagnetotelluric (AMT) survey run in greenstone schist belt of the Dhanjori Basin, Eastern Singhbhum, India. The shallow conductors AMT not well resolved due to insufficient high-frequency data. geology area suggests that gold mineralisation is associated with quartz pebble conglomerates (QPC) or sulfides. IP 1.2 × 0.4 km electrode spacing 10 m line 50 m. This data set was...

Electrical resistivity tomography (ERT) is a useful tool to map near-surface conducting anomalies. The detailed ERT survey was taken over an already defined zone on regional scale through magnetotelluric (MT) survey, in order provide better resolution of the subsurface structure within study area. lines were carried out crossing delineated MT giving dense coverage along 15 covering area ~1 km2 with line spacing ~50 m northern fringe Dalma volcanics (DVs). utilised 61-channel cum 64-electrode...

Abstract Rayleigh wave dispersion curves can be inverted to retrieve subsurface seismic velocity profiles. The inverse problem is ill‐posed, nonlinear and poorly conditioned, necessitating the application of global optimization methods. We present multi‐objective grey wolf algorithm perform joint inversion phase corresponding fundamental higher order modes waves obtain shear (S‐) primary (P‐) Multi‐objective an extension for adapted solve problems. compare results obtained from optimizer...

SUMMARY The collision process between the South Indian Block (SIB) and North (NIB) resulted in development of complex crustal nature Central India Tectonic Zone (CITZ). evolutionary past CITZ covers a long geological time (∼1000 Ma), which corresponds to assembly spreading Columbia Rodinia supercontinents. Despite several studies western central parts CITZ, location suture zone SIB NIB is still under debate. In addition that, structure eastern segment yet be resolved. Therefore, for first...

Using more than one geophysical technique provides a reliable way to delineate the subsurface structure single method. In this paper, we present novel for joint inversion of seismic and MT datasets using artificial neural networks. Different rock models are taken compute relation between porosity, shale content, velocity resistivity strata. The thus generated were used traces apparent curves, dataset training testing network. Such method performing is advantageous when want check reliability...

Deep learning (DL) methods have emerged as a powerful tool for the inversion of geophysical data. When applied to field data, these models often struggle without additional fine-tuning network. This is because they are built on assumption that statistical patterns in training and test datasets same. To address this, we propose DL-based scheme Radio Magnetotelluric data where subsurface resistivity generated using Gaussian Random Fields (GRF). The network's generalization ability was tested...

AbstractA balanced ring (b-ring) proposed by Gu et al. [Journal of Systems Architecture, 53, (2007), 902–912.] is more effective than a fault (f-ring) in providing tolerance for mesh and torus networks. By properly utilizing the b-ring, an efficient tolerant routing algorithm can be achieved without using any virtual channel. Traffic congestion also significantly reduced. However, presented formation b-ring has demerits that it involves all nodes network each time needs to formed, thereby...

There is no meta-heuristic approach best suited for solving all optimization problems making this field of study highly active. This results in enhancing current approaches and proposing new algorithms. Out algorithms, swarm intelligence preferred as it can preserve information about the search space over course iterations usually has fewer tuning parameters. Grey Wolves, considered apex predators, motivated us to simulate Wolves geophysical data sets. The grey wolf optimizer a swarm-based...