Multi-deconvolution analysis of potential field data

Salem, Ahmed

doi:10.1016/j.jappgeo.2011.04.001

Cited by 7 publications

(4 citation statements)

References 14 publications

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“…Table 10 shows a comparison of the results achieved by the current method with those acquired by other published approaches 78 , 79 . Salem et al (2005) interpreted the Hamrawein anomaly as two-sheet structures with depths of z o1 = 555.7 and z o2 = 441.2 m. According to Salem (2005), the depths are z o1 = 540 m and z o2 = 447 m. Salem 80 used the local wavenumber (LW) approach with depths of z o1 = 432.6 m and z o2 = 422.8 m and the total gradient (TG) method with depths of z o1 = 486.5 m and z o2 = 440.4 m to explain the Hamrawein anomaly. Essa and Elhussein (2018) evaluate these anomalies by utilizing the particle swarm optimization (PSO) (z o1 = 623.05 m and z o2 = 494.14 m).…”

Section: Methodsmentioning

confidence: 99%

Magnetic data interpretation for 2D dikes by the metaheuristic bat algorithm: sustainable development cases

Essa

Diab

2022

Sci Rep

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Metaheuristic algorithms are increasingly being utilized as a global optimal method in the inversion and modeling of magnetic data. We proposed the Bat Algorithm Optimization (BAO) technique that is based on bat echolocation performance to find the global optimum solution. The best-estimated source parameters that correspond to the objective function minimum value are obtained after achieving the global optimum (best) solution. The suggested BAO technique does not require any prior knowledge; rather, it is a global search method that provides an effective tool for scanning the space of data to appraise sources parameters. The BAO technique is applied to magnetic data in the class of dipping and vertical dikes along 2D profiles to estimate the dimensional source parameters that include the depth to top, origin location, amplitude coefficient, index angle of magnetization, and width of the dipping dikes. The BAO technique has been used for single and multiple dikes structures. The accuracy and stability of the BAO technique are achieved on different synthetic examples of free and noisy data for single and multiple cases. Furthermore, the presented BAO technique was effectively utilized in three field examples from China and Egypt for iron ore deposits and metavolcanics basalt rock investigations. Overall, the BAO technique recovered inversion outcomes are in good agreement with borehole, geology, and published literature results.

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Section: Methodsmentioning

confidence: 99%

Magnetic data interpretation for 2D dikes by the metaheuristic bat algorithm: sustainable development cases

Essa

Diab

2022

Sci Rep

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“…While Salem et al (2005) interpreted the two Hamrawein Field anomalies as thin sheet structures located at depth of 555.7 and 441.2 m, Salem (2005) computed a similar shaped anomaly but reported depths of 540 and 447 m respectively for the first and second anomalies. Salem (2011) interpreted the Hamrawein Magnetic anomaly using both total gradient (TG) and local wave number (LW) methods. With the LG method, the anomaly sources were interpreted to be buried at depths of 486.5 and 440.4 m, while results from the LW technique show that the causative bodies are buried at depths of 432.6 and 422.8 m for the two anomalies.…”

Section: Field Examplesmentioning

confidence: 99%

Novel methodology for the geophysical interpretation of magnetic anomalies due to simple geometrical bodies using social spider optimization (SSO) algorithm

Ben

Akpan

Urang

et al. 2022

Heliyon

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“…A general function presenting a symmetric potential field anomaly can be expressed by simple equation (Salem, 2011):…”

Section: The Anomalymentioning

confidence: 99%

“…The r is the distance from the middle point of the anomaly to the observation point on the surface. Detailed summary of q and F values for different simple geometrical bodies both for gravity and magnetic sources is given for example in Salem (2011); in short it is presented in Table 1. More complex anomaly geometry can be derived from theory presented in the .…”

Section: The Anomalymentioning

confidence: 99%

Application of Edge and Line Detection to Detect the near Surface Anomalies in Potential Data

Trísková¹,

Novak²

2013

Proceedings of the 2nd International Conference on Pattern Recognition Applications and Methods

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Presented paper is focused on fast near surface anomaly detection in potential data. Our aim is to find fast and semi-automated anomaly detection technique for the near surface anomalies with defined geometry. The proposed algorithm is based on the shape recognition. The edge and line detection is used on acquired data to detect the typical shape of the anomaly. Shape geometry parameters are converted into the anomaly parameters and location information. The technique was tested using a set of noise-free and noisy synthetic gravity data; satisfactory results were obtained.

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Multi-deconvolution analysis of potential field data

Cited by 7 publications

References 14 publications

Magnetic data interpretation for 2D dikes by the metaheuristic bat algorithm: sustainable development cases

Magnetic data interpretation for 2D dikes by the metaheuristic bat algorithm: sustainable development cases

Novel methodology for the geophysical interpretation of magnetic anomalies due to simple geometrical bodies using social spider optimization (SSO) algorithm

Application of Edge and Line Detection to Detect the near Surface Anomalies in Potential Data

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