Amplitude inversion of the 2D analytic signal of magnetic anomalies through the differential evolution algorithm

Ekinci, Yunus Levent; Özyalın, Şenol; Sindirgi, Petek; Balkaya, Çağlayan; Göktürkler, Gökhan

doi:10.1088/1742-2140/aa7ffc

Cited by 44 publications

(26 citation statements)

References 77 publications

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“…Fundamentally, the NFG method is based on the downward continuation of the potential field data and its analytic signal amplitude (ASA). In many studies, it has been proved that this method is highly applicable in determining the source location and depth, by using potential field anomalies (Zeng et al, 2002;Özyalın, 2003; Aydın, 2007;Oruç and Keskinsezer, 2008;Sındırgı et al, 2008;Yiğitbaş, 2012, 2015;Zhang and Meng, 2015;Ekinci et al, 2017) and they include the detailed formulation of the method. That is why the 3D situation will be emphasized in this section.…”

Section: The Nfg Methodsmentioning

confidence: 99%

Estimating the location of a causative body from a self-potential anomaly using 2D and 3D normalized full gradient and Euler deconvolution

Sindirgi¹,

Özyalın²

2019

Turkish J Earth Sci

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Changes in the size and depth of sources greatly affect self-potential (SP) anomalies. Therefore, it is important to determine the location of the source accurately. In the present study, applications of the normalized full gradient (NFG) method and Euler deconvolution (EUD) were described to determine the location of the sphere-like SP body as complementary approaches to other optimization algorithms. The NFG and EUD methods were tested on synthetic, noise-free, and noisy anomalies caused by sphere-like models in two-dimensional (2D) and three-dimensional (3D) cases. Subsequently, the methods were applied to real field data. The importance of the present study lies in the fact that it is the first 3D application of these methods to the SP anomaly caused by the sphere-like model in the literature. In order to determine the optimum harmonic number in the NFG method, a new criterion was used instead of the usual trial-and-error method, providing more reliable selection possibilities. In a similar way, average values were used to determine the window size accurately in the EUD method. The test results of the synthetic and real field models were satisfactory. They showed that both methods are applicable to determine the location of sphere-like structures, such as ore deposits, in self-potential surveys.

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Section: The Nfg Methodsmentioning

confidence: 99%

Estimating the location of a causative body from a self-potential anomaly using 2D and 3D normalized full gradient and Euler deconvolution

Sindirgi¹,

Özyalın²

2019

Turkish J Earth Sci

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“…The trial vector is obtained using both donor vector elements and the target vector, and the recombination process combines successful solutions considering the previous generation (Balkaya et al, 2017). In the last step, considering the lowest error/misfit values, the target vector or trial vector is transferred to the next generation (Ekinci et al, 2016(Ekinci et al, , 2017. These processes in the evolution loop continue until a predefined iteration number or the reaching of a satisfactory objective function value.…”

Section: De Algorithmmentioning

confidence: 99%

“…These parameters are vital for the success of the optimization and their selection depends on the nature of the problem under consideration. Therefore, parameter tuning studies should be performed before the parameter estimations performed by global optimization algorithms (Fernandez-Martinez et al, 2010;Pekşen et al, 2014;Ekinci et al, 2016Ekinci et al, , 2017Balkaya et al, 2017;Alkan and Balkaya, 2018) even though they are time-consuming (Eiben and Smith, 2011).…”

Section: Tuning and Parameter Estimations Through Synthetic Datamentioning

confidence: 99%

“…Thus, it may be stated that PSO is the preferable optimization technique used in potential field parameter estimation studies. On the other hand, recently, the differential evolution (DE) algorithm has been introduced as a powerful tool for the inversion of potential field datasets (Ekinci et al, 2016(Ekinci et al, , 2017Balkaya et al, 2017). However, the DE algorithm has not gained wide currency in geophysical studies yet.…”

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confidence: 99%

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Parameter Estimations from Gravity and Magnetic Anomalies Due to Deep-Seated Faults: Differential Evolution versus Particle Swarm Optimization

2019

Turkish J Earth Sci

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Introduction Due to the mathematical nature of the gravity and magnetic methods in geophysics, numerous data processing techniques are easily performed to analyze their anomalies obtained from different types of investigations changing in a wide range of varieties. Based on the objectives of the investigations, the most commonly used techniques are generally separated into two different groups. The first group techniques, involving linear transformations, directional derivative-based techniques, image enhancement procedures, spectral methods, filtering operators, etc., generally aim at exploring and locating the geological source structures causing the potential field anomalies (

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“…In addition, an alternative method is presented to directly invert for some kinds of amplitude anomalies which are low sensitive to magnetization directions such as the total gradient data [20], the magnitude magnetic anomaly [21][22][23][24][25], the normalized source strength [26][27][28], and the analytic signal [29,30]. This approach is more effective when the magnetization direction is highly variable due to the factors such as structural changes.…”

Section: Introductionmentioning

confidence: 99%

Inversion and Interpretation of Magnetic Anomaly in the Presence of Significant Remanence and Self-Demagnetization Based on Magnetic Amplitude

Liu¹,

Hu²

2018

Geophysics

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Remanent magnetization and self-demagnetization effects of high-susceptibility body distort the intensity and direction of internal magnetization and hence complicate the inversion and interpretation of magnetic anomaly. The magnitude magnetic anomaly, which is weakly sensitive to the magnetization direction, provides an indirect way to investigate these complex anomalies. We study the sensitivity characteristics of 2D magnitude magnetic anomaly to magnetization direction and source shapes, implement the magnetization intensity inversion, and further estimate the magnetization direction by inverting for the total field data. The magnetic amplitude inversion is tested by the use of synthetic data, which are caused by prism models with strong remanent magnetization and high susceptibility. It is also applied to the field data of an iron-ore deposit in South Australia. The primary advantage of magnitude anomaly inversion is that the magnetization directions are not assumed to parallel the geomagnetic field. The magnetization intensity inversion and magnetization direction estimation make full use of the amplitude and phase information of magnetic anomalies. Magnetic amplitude inversion including other amplitude quantities such as normalized source strength and analytic signal offers an effective approach to investigate and interpret the magnetic anomalies affected by complicated remanence and self-demagnetization.

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Amplitude inversion of the 2D analytic signal of magnetic anomalies through the differential evolution algorithm

Cited by 44 publications

References 77 publications

Estimating the location of a causative body from a self-potential anomaly using 2D and 3D normalized full gradient and Euler deconvolution

Estimating the location of a causative body from a self-potential anomaly using 2D and 3D normalized full gradient and Euler deconvolution

Parameter Estimations from Gravity and Magnetic Anomalies Due to Deep-Seated Faults: Differential Evolution versus Particle Swarm Optimization

Inversion and Interpretation of Magnetic Anomaly in the Presence of Significant Remanence and Self-Demagnetization Based on Magnetic Amplitude

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