“…The study area was covered by closely spaced gravity and magnetic measurements in order to better understand the subsurface structure. The details of the field measurements and corrections are presented in Saibi et al. (2019) ; Saibi et al.…”
Section: Resultsmentioning
confidence: 99%
“…Potential field data (gravity and magnetic) were collected in the study area during 2017. The gravity data were acquired using Scintrex CG-6 gravity-meter and the data was corrected for tilt, tide, topography, location, drift and Bouguer density ( Saibi et al., 2019 , 2020 ) in order to calculate the Bouguer anomalies. The magnetic data were acquired using a Geometrix G-856 AX Proton magnetometer ( Mohamed and Saibi, 2017 ; Saibi et al., 2017 ; Saibi, 2018 ).…”
Geothermal manifestations (hot springs) emerge in the Al-Mubazzarah Geothermal Area (AMGA), Al-Ain city, Abu Dhabi Emirate, United Arab Emirates. This paper presents the application and results of a Magnetotelluric (MT) survey, which was carried out in 2017 at the AMGA geothermal field. The MT method was used to investigate the variations in the electrical conductivity beneath the AMGA. This study focuses on characterizing the patterns of subsurface electrical conductivity of the AMGA geothermal reservoir. Dimensionality analysis of the measured MT data indicate that 2D inversion is appropriate for the subsurface resistivity interpretation. The inversion results support a model consisting of three resistivity-defined layers; from top to bottom they are: (1) a shallow layer with resistivity ranging from 10 to 20 Ωm, representing recent alluvial and windblown deposits, (2) a second conductive layer with resistivities less than 10 Ωm, beneath the first layer. This layer is recognized as the Tertiary carbonate sequence in the region, (3) a deep, moderate to relatively high resistive zone, 10–30 Ωm beginning at 800 m depth and reaching 4 km depth in the northern part of the profile, representing Mesozoic basement rocks. The observed moderate to high resistivity zone (10–30 Ωm) in the 2D model may represent a region where the hot groundwaters originated (geothermal reservoir), with the hottest geothermal located at a depth greater than 4 km. The geothermal reservoir zone is also represented by a low to high density contrast and a low to moderate magnetic susceptibility, as indicated in the inverted potential field data models, and confirmed the existence of a north dipping major fault.
“…The study area was covered by closely spaced gravity and magnetic measurements in order to better understand the subsurface structure. The details of the field measurements and corrections are presented in Saibi et al. (2019) ; Saibi et al.…”
Section: Resultsmentioning
confidence: 99%
“…Potential field data (gravity and magnetic) were collected in the study area during 2017. The gravity data were acquired using Scintrex CG-6 gravity-meter and the data was corrected for tilt, tide, topography, location, drift and Bouguer density ( Saibi et al., 2019 , 2020 ) in order to calculate the Bouguer anomalies. The magnetic data were acquired using a Geometrix G-856 AX Proton magnetometer ( Mohamed and Saibi, 2017 ; Saibi et al., 2017 ; Saibi, 2018 ).…”
Geothermal manifestations (hot springs) emerge in the Al-Mubazzarah Geothermal Area (AMGA), Al-Ain city, Abu Dhabi Emirate, United Arab Emirates. This paper presents the application and results of a Magnetotelluric (MT) survey, which was carried out in 2017 at the AMGA geothermal field. The MT method was used to investigate the variations in the electrical conductivity beneath the AMGA. This study focuses on characterizing the patterns of subsurface electrical conductivity of the AMGA geothermal reservoir. Dimensionality analysis of the measured MT data indicate that 2D inversion is appropriate for the subsurface resistivity interpretation. The inversion results support a model consisting of three resistivity-defined layers; from top to bottom they are: (1) a shallow layer with resistivity ranging from 10 to 20 Ωm, representing recent alluvial and windblown deposits, (2) a second conductive layer with resistivities less than 10 Ωm, beneath the first layer. This layer is recognized as the Tertiary carbonate sequence in the region, (3) a deep, moderate to relatively high resistive zone, 10–30 Ωm beginning at 800 m depth and reaching 4 km depth in the northern part of the profile, representing Mesozoic basement rocks. The observed moderate to high resistivity zone (10–30 Ωm) in the 2D model may represent a region where the hot groundwaters originated (geothermal reservoir), with the hottest geothermal located at a depth greater than 4 km. The geothermal reservoir zone is also represented by a low to high density contrast and a low to moderate magnetic susceptibility, as indicated in the inverted potential field data models, and confirmed the existence of a north dipping major fault.
“…All small distance effects can be minimized using the Tikhonov method and will be in the high‐frequency regime in the wavenumber domain. This inversion method already has practical applications in subsurface geological mapping and structural interpretations (Amrouche & Saibi, 2021; Boubekri et al., 2015; Saibi et al., 2019). More details and descriptions of this inversion are reported in a public patent (Priezzhev & Pfutzner, 2011).…”
The Aristarchus plateau, located at the center of Oceanus Procellarum, exhibits one of the most complex volcanic features on the Moon. To understand the subsurface three‐dimensional density distribution under the Aristarchus plateau, we performed gravity inversion using high‐resolution gravity data obtained from the Gravity Recovery and Interior Laboratory mission. Our inversion results indicate the presence of a strong lateral density differentiation, with some positive and negative density anomalies possibly exhibiting a correlation with the volcanic features observed on the surface. A linear high‐density anomaly near the Cobra Head magma source and an elliptical high‐density anomaly both exactly match the surface basaltic exposures observable in the remote sensing data. We executed the density separation to extract low‐density anomalies of the whole plateau and removed most of the density artifacts. The low‐density anomalies display elevated terrain evidence of multiple “semi‐ring” structures, suggesting the location of buried remnants of crater rims. The Aristarchus crater has a central low‐density anomaly in the exact size and shape of the later‐formed impact crater. This anomaly is consistent with the high crater porosity produced by extensive impact‐generated fracturing and dilatant bulking, though the observed gravity and density anomalies are greater in magnitude than expected for this process. The remote sensing data expose high‐silica material in the crater rim, implying that the young crater excavated an underlying layer containing both plagioclase and Si‐rich materials, and indicating that the local uplift of feldspathic and/or silicic materials also contributes to the high amplitude of the low‐density anomaly in the Aristarchus crater.
“…There are numerous implementations, such as, structure estimation of sedimentary basins (Silva et al., 2006; Zhou, 2013; Pallero et al., 2015; A. Roy et al., 2021b), faults and folds (L. Roy et al., 2000; Chakravarthi & Sundararajan, 2004, 2007b; Roy & Kumar, 2021) due to crustal deformations, glaciology (Crossley & Clarke, 1970; Tinto & Bell, 2011) and hydro‐geology (Alatorre‐Zamora & Campos‐Enriquez, 1991; Güntner et al., 2007) etc. The exploration study includes mining (Jaffal et al., 2010; Veiga & Gunson, 2020), hydrocarbon exploration (Rose et al., 2006; W. Li et al., 2016), cavity detection (Mochales et al., 2008; Saibi et al., 2019) etc. The gravitational inversion is a useful tool to interpret the gravity data for subsurface imaging.…”
Listric faults were first introduced by Suess (1909) for describing faults in coal mines in northern France. The fault planes of listric faults are generally upward concave in nature, and the dip decreases with depth (Shelton, 1984). Listric faults have particular importance in the formation of sedimentary basins. Most of the listric faults are generally occurs during the formation of rift or formation of passive continental margins (Bally et al., 1981). The curvature occurred due to the thick sediment depositions in case of boundary faults (Chakravarthi, 2011). Listric fault can produce structural trap by relative displacement of strata to create a barrier to petroleum migration (Sheth, 1998;Yamada & McClay, 2003). It also has structural importance for mineral explorations (Song et al., 2012).The gravity method is one of the oldest geophysical approaches for subsurface imaging. In general, gravity inversion for subsurface parameter estimation is non-unique but by incorporating proper constraints (Florio, 2020;Li & Oldenburg, 1996;Portniaguine & Zhdanov, 2002) a stable and converging parameter optimization can be achieved. In our present study, the density contrast is assumed to be known from borehole logging and used as a constraint for fault structure estimation. Furthermore, an uncertainty appraisal provides a reliable solution for any ill-posed problem.The gravity method is one of the passive geophysical techniques to study the interior of the Earth. The ground gravity survey is very fast, inexpensive, and can cover a large study area via non-destructive measurements. The gravity method plays a vital role in geological structure estimation and exploration purposes. There are numerous implementations, such as, structure estimation of sedimentary basins (
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