Site characterization through combined analysis of seismic and electrical resistivity data at a site of Dhanbad, Jharkhand, India

Gupta, Ravindra Kumar; Agrawal, Mohit; Pal, Sanjit Kumar; Kumar, Rahul; Srivastava, Shalivahan

doi:10.1007/s12665-019-8231-2

Cited by 35 publications

(6 citation statements)

References 41 publications

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“…The frequencies range from 0.015625 Hz (2 −6 Hz) to 8192 Hz (2 13 Hz) and can be combined according to different frequencies. Considering the parameters of the detection model shown in Figure 1, the excitation signal in this study adopts the frequency combination of three-frequency waves, specifically including three-frequency components of 1 Hz, 8 Hz, and 64 Hz (2 0 , 2 3 , and 2 6 ). For the continuous pseudorandom multifrequency response signal, the amplitude and phase information of the extracted frequency response signal can be obtained by multiplying the sine or cosine function of the frequency component to be extracted and integrating the product.…”

Section: Pseudorandom Electromagnetic Detection Methodsmentioning

confidence: 99%

“…[1][2][3][4] In the past 20 years, cross-well detection technology has gradually developed into two kinds of detection methods with different physical mechanisms: cross-well seismic and cross-well electromagnetic detection. [5][6][7][8][9] The results show that, compared with the cross-well seismic method, the cross-well electromagnetic detection method is more sensitive to the changes in cross-well formation characteristics and fluid properties, and can directly provide the resistivity distribution information describe the reservoir cross-well fluid spatial distribution.…”

Section: Introductionmentioning

confidence: 99%

“…As an important means of geophysical survey, the cross‐well electromagnetic method can be used to detect the distribution of remaining oil and find oil and gas enrichment zones, to improve the success rate of drilling and enhance recovery efficiency 1‐4 . In the past 20 years, cross‐well detection technology has gradually developed into two kinds of detection methods with different physical mechanisms: cross‐well seismic and cross‐well electromagnetic detection 5‐9 . The results show that, compared with the cross‐well seismic method, the cross‐well electromagnetic detection method is more sensitive to the changes in cross‐well formation characteristics and fluid properties, and can directly provide the resistivity distribution information describe the reservoir cross‐well fluid spatial distribution.…”

Section: Introductionmentioning

confidence: 99%

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Research on cross‐well pseudorandom electromagnetic detection method and extraction of response characteristics

Song

Momayez

Wang

et al. 2020

Energy Science & Engineering

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Section: Pseudorandom Electromagnetic Detection Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Research on cross‐well pseudorandom electromagnetic detection method and extraction of response characteristics

Song

Momayez

Wang

et al. 2020

Energy Science & Engineering

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“…Rayleigh waves will propagate most effectively in which frequency range is defined as the dominant frequency (fo) [8]. This technique, have been extensively studied by many researchers to measure the site effects such as amplification, ambient noise produced by soft ground layers in certain frequency bands [9][10][11][12][13][14][15][16][17][18][19][20][21][22][23][24][25][26]. Soil behavior analysis depends not only on the geomorphology and properties of the subterranean soil layers, but also on the bedrock type and location.…”

Section: Introductionmentioning

confidence: 99%

Investigation of Site Characterization and Vulnerability in Antakya (Turkey) under Basin Effect

BÜYÜKSARAÇ,

BEKTAŞ,

IŞIK

et al. 2023

Erzincan Üniversitesi Fen Bilimleri Enstitüsü Dergisi

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It is very important and necessary to know the depth of the bedrock in determining the soil behavior. However, determining the depth of bedrock spatially is a very difficult and costly process. The depth of the bedrock can be obtained by using the dominant vibration frequency obtained by the microtremor data. The bedrock depth map was created with the correlation produced from the dominant vibration frequencies obtained from microtremor measurements made in Antakya (Turkey). In bedrock calculations at low frequencies, the value range shows scattering. In the vulnerability analysis for Antakya soils, a low level of vulnerability (Kg = 6) was obtained in the east and northeast of the area. It has been observed that the S-wave velocity (Vs) in this area is lower than 406 ms-1. In this case, this value has been accepted as the vulnerability threshold value in Antakya soils. Peak Ground Acceleration (PGA) and Peak Ground Velocity (PGV) were obtained for each location by using earthquake ground motion levels with 2%, 10%, 50%, and 68% probability of exceedance in 50-year periods. The PGA values in the region range from 0.43 to 0.47 g for earthquakes with a return period of 475 years.

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“…An earthquake is a natural phenomenon that has caused huge loss of physical damage in di erent countries, e.g., Armenia, Iran, California, Japan, Greece, Turkey, India, Sumatra, Pakistan, China, and Haiti. erefore, globally multi-dimensional earthquake hazard assessment studies by [1][2][3][4] have been performed. Several studies have shown that most Asian regions, including Pakistan, are vulnerable to seismic events [5] because they are located near active faults [6].…”

Section: Introductionmentioning

confidence: 99%

Fuzzy Clustering Analysis of HVSR Data for Seismic Microzonation at Lahore City

Khan

Waseem

Khalid

et al. 2022

Shock and Vibration

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A microzonation study deals with the classification of hazards in a town or city in terms of surface ground motions that result from amplification and resonance frequency in soils against seismic tremors. This paper presents the result of a microzonation study in terms of resonance frequency and peak amplitude for Lahore city, Pakistan. In order to recognize the local soil effects of the covered geology at 159 sites in Lahore city, the horizontal-to-vertical spectral ratio (HVSR) Nakamura method was implemented. A fuzzy C-mean (FCM) clustering algorithm was adopted to obtain the best cluster solution of the analyzed HVSR parameters. The results of the Silhouette Index suggest that the FCM clustering solution of observation data points is more consistent. The results of clustering reveal three solutions. Clusters 1 and 2 reveal that a major part of the research area possesses low to moderate frequencies (0.66–1.03 Hz) with a peak amplitude of 2.25–4.38 mm, indicating the presence of soft to hard rock and thick alluvial sedimentary cover. Cluster 3 reveals the presence of soft to compact rocks (with frequencies and amplitudes of 0.73–1.03 Hz and 3.02–4.11 mm, respectively) overlaying the bedrock. Lahore city has 60% of soil cover with an amplitude of 2–3 mm (for the central part) and about 40% of 3–4 mm in the northern, southern, and southwest portions. According to the NEHRP soil classification code of 1997, a major part of the city has stiff nature of the soil, while a few places reveal the presence of very dense soil. The maps produced in this study will provide expected ground motion-related useful information to reduce the seismic risk for infrastructure in Lahore city.

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Site characterization through combined analysis of seismic and electrical resistivity data at a site of Dhanbad, Jharkhand, India

Cited by 35 publications

References 41 publications

Research on cross‐well pseudorandom electromagnetic detection method and extraction of response characteristics

Research on cross‐well pseudorandom electromagnetic detection method and extraction of response characteristics

Investigation of Site Characterization and Vulnerability in Antakya (Turkey) under Basin Effect

Fuzzy Clustering Analysis of HVSR Data for Seismic Microzonation at Lahore City

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