Alternative local wavenumber methods to estimate magnetic source parameters

Ma, Guoqing; Li, Lili

doi:10.1071/eg13010

Cited by 5 publications

(3 citation statements)

References 17 publications

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“…Some of the data processing techniques for the anomaly interpretation use Fourier transform, Hilbert transform, nomograms, matching curve approach, distinctive points and distances (Bhattacharyya, 2012; Gay, 1965; Kara, 1997; McGrath & Hood, 1970; Nuamah & Dobroka, 2019; T. Rao et al., 1986; Subrahmanyam & Prakasa Rao, 2009). Moreover, inversion methodologies, local wave number approaches, directional derivative‐based methods, spectral analysis techniques, some special algorithms such as simplex algorithm and R‐parameter imaging were proposed for anomaly interpretation (Abdelrahman & Essa, 2005; Abdelrahman et al., 2012; Abo‐Ezz & Essa, 2016; Aziz et al., 2013; Cooper, 2015; Ekinci, 2016; Essa & Elhussein, 2019; Essa, Munschy, et al., 2022; Kelemework et al., 2021; Li & Oldenburg, 1996; Ma & Li, 2013; Mehanee et al., 2021; Melo & Barbosa, 2020; Pham et al., 2020; Salem et al., 2004; Tlas & Asfahani, 2011a, 2011b, 2015). Among these methods, inversion methodologies are the frequently used data processing tool in anomaly interpretation.…”

Section: Introductionmentioning

confidence: 99%

“…ologies, local wave number approaches, directional derivative-based methods, spectral analysis techniques, some special algorithms such as simplex algorithm and R-parameter imaging were proposed for anomaly interpretation (Abdelrahman & Essa, 2005;Abdelrahman et al, 2012;Abo-Ezz & Essa, 2016;Aziz et al, 2013;Cooper, 2015;Ekinci, 2016;Essa & Elhussein, 2019;Essa, Munschy, et al, 2022;Kelemework et al, 2021;Li & Oldenburg, 1996;Ma & Li, 2013;Mehanee et al, 2021;Melo & Barbosa, 2020;Pham et al, 2020;Salem et al, 2004;Tlas & Asfahani, 2011a, 2011b, 2015. Among these methods, inversion methodologies are the frequently used data processing tool in anomaly interpretation.…”

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confidence: 99%

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Inversion of Geomagnetic Anomalies Caused by Ore Masses Using Hunger Games Search Algorithm

Ai,

Ekinci,

Balkaya

et al. 2023

Earth and Space Science

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Geomagnetic anomaly interpretation through inversion procedures often yields useful results in determining the key details of ore masses. However, the problem is complicated due to the known ambiguous phenomena of the inversion process. Thus, details such as location, depth and shape can only be estimated using an efficient algorithm. To this end, we presented here a novel global optimization algorithm called Hunger Games Search (HGS) for the inversion of geomagnetic anomalies caused by ore masses. HGS is a well‐organized metaheuristic inspired by the hunger‐driven instincts and social behavioral decisions of animals. This is the first work in the literature to introduce this optimizer for the inversion of geophysical anomalies. We revealed the model parameter dependencies and the optimum control parameter values of the algorithm by performing some modal analyses and parameter tuning studies, respectively. The capability of HGS was demonstrated on synthetically produced geomagnetic responses and on three real anomalies obtained from some exploration fields in India and the USA. Uncertainty appraisal studies showed the solidity of the outputs of the algorithm. Moreover, some comparative studies with the fine‐tuned standard Particle Swarm Optimization, a commonly used tool for the inversion of geophysical anomalies, indicated that HGS algorithm provides better results in terms of convergence characteristics and solution stabilities in the presented inverse problem. We therefore recommend the use of this metaheuristic in model parameter estimation studies when dealing with this kind of geophysical potential field problems.

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Section: Introductionmentioning

confidence: 99%

mentioning

confidence: 99%

Inversion of Geomagnetic Anomalies Caused by Ore Masses Using Hunger Games Search Algorithm

Ai,

Ekinci,

Balkaya

et al. 2023

Earth and Space Science

View full text Add to dashboard Cite

show abstract

“…Magnetic anomalies are inferred utilizing simple geometric models (point sources, dikes, spheres, horizontal and vertical cylinders, and prisms) to estimate model parameters. Several graphical and numerical approaches for analyzing magnetic data have been created using simple geometric models, for example, the matching curve, nomograms, and characteristic points methods are examples of these approaches 29 – 32 , Werner and Euler deconvolution 33 – 35 , moving average techniques 36 , least-squares approaches 36 , 37 , Fourier transforms 38 , 39 , alternative local wave number technique 40 , numerical gradient-based technique 17 , tilt-angle methods 41 , 42 , correlation techniques 43 , and spectral analysis techniques 44 . However, most of these methods have several defects such as individual subjectivity, use of only a few data points along with the measurement profile, hypersensitivity to noise, and influence of adjacent effect (which might degrade the accuracy of the results).…”

Section: Introductionmentioning

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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Exploring Fault Plane Geometry through Metaheuristic Bat Algorithm (MBA) Analysis of Potential Field Data: Environmental and Engineering Applications

Essa,

Diab

2024

Rock Mech Rock Eng

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By integrating inversion techniques with modeling data of the Earth’s passive potential field, encompassing gravity and magnetic fields, we can enhance our understanding of subsurface structural features, particularly faults, thereby contributing to advancements in earth science and environmental studies. Metaheuristic algorithms have gained prominence as global optimization tools, with increasing utilization for optimizing complex systems. This study proposes the utilization of the Metaheuristic Bat Algorithm (MBA), inspired by the echolocation capabilities of bats, to efficiently search for optimal solutions. The MBA method aims to minimize a predefined objective function, leading to the identification of fault-path parameters once the global optimum solution is attained. This approach offers a systematic means of evaluating fault characteristics without requiring prior domain knowledge. Application of the MBA methodology to potential field data facilitates the estimation of fault dimensions, including depth, origin, and dipping angle. Through rigorous testing on diverse simulated datasets with varying noise levels, the MBA approach demonstrates high precision and consistency in fault characterization. Moreover, field applications conducted in the USA, Egypt, Australia, and India validate the efficacy of the MBA scheme in earth science and engineering investigations. The inversion results obtained using the MBA approach align closely with drilling data, geologic observations, and existing literature, underscoring its reliability and utility in subsurface analysis.

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Alternative local wavenumber methods to estimate magnetic source parameters

Cited by 5 publications

References 17 publications

Inversion of Geomagnetic Anomalies Caused by Ore Masses Using Hunger Games Search Algorithm

Inversion of Geomagnetic Anomalies Caused by Ore Masses Using Hunger Games Search Algorithm

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

Exploring Fault Plane Geometry through Metaheuristic Bat Algorithm (MBA) Analysis of Potential Field Data: Environmental and Engineering Applications

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