2018
DOI: 10.1093/gji/ggy489
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Subsurface structural mapping using gravity data of Al-Ain region, Abu Dhabi Emirate, United Arab Emirates

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Cited by 29 publications
(7 citation statements)
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“…Here, δp/δx and δp/δy represent the horizontal derivatives of the Bouguer anomaly p in the x and y directions, respectively. The computed THD was least affected by noise in the data since it is estimated by the two first-order horizontal derivatives of the gravity field (Cordell and Grauch, 1985;Saibi et al, 2019). The THD maximal crest value is noticed straight over the edges of the source body (i.e.…”
Section: Data Processing and Modellingmentioning
confidence: 99%
“…Here, δp/δx and δp/δy represent the horizontal derivatives of the Bouguer anomaly p in the x and y directions, respectively. The computed THD was least affected by noise in the data since it is estimated by the two first-order horizontal derivatives of the gravity field (Cordell and Grauch, 1985;Saibi et al, 2019). The THD maximal crest value is noticed straight over the edges of the source body (i.e.…”
Section: Data Processing and Modellingmentioning
confidence: 99%
“…The gravity method is a geophysical technique that is commonly utilized to map geothermal potential and identify subsurface geological structures in geothermal areas [10]. This potential method has been extensively used for geothermal exploration worldwide [11][12][13] and identification of geological structures [14][15][16]. The primary objective of this research is to provide additional information using gravity data on the subsurface geological structure of the Karangrejo-Tinatar geothermal area in Pacitan Regency.…”
Section: Introductionmentioning
confidence: 99%
“…Roest et al (1992) showed that the analytical signal peaks can determine the sourceˈ horizontal boundaries. Many researchers have used the analytic signal to enhance subsurface structural features (Saibi et al, 2016(Saibi et al, , 2019Hang et al, 2017). Hsu et al (1996) improved the resolution of the analytic signal using the second-order gradients of the data.…”
Section: Introductionmentioning
confidence: 99%