2021
DOI: 10.1016/j.petrol.2021.109129
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Fault parameters assessment from the gravity data profiles applying the global particle swarm optimization

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Cited by 20 publications
(6 citation statements)
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“…The cognitive and social coefficients are denoted by , respectively. indicates the inertial coefficient that controls the model's velocity [ [42] , [43] , [44] ]. represents the best location obtained by an individual model, while denotes the best global location.…”
Section: The Methodsmentioning
confidence: 99%
“…The cognitive and social coefficients are denoted by , respectively. indicates the inertial coefficient that controls the model's velocity [ [42] , [43] , [44] ]. represents the best location obtained by an individual model, while denotes the best global location.…”
Section: The Methodsmentioning
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%
“…They have broad applications on sizes ranging from submeter to global (Hinze et al., 2013). Gravity and magnetic methods have been employed to identify the tectonic structure of basement and sedimentary cover (Benson & Floyd, 2000; Essa et al., 2018), fault parameters (Essa et al., 2021), as well as tectonic boundaries (White et al., 2005). Potential field data are useful in finding structures that are difficult to detect seismically, such as strike‐slip faults, regional discontinuities, dykes and basement‐cover boundary (Ali et al., 2017).…”
Section: Introductionmentioning
confidence: 99%