Global Optimization of Near-Surface Potential Field Anomalies Through Metaheuristics

Ekinci, Yunus Levent; Balkaya, Çağlayan; Göktürkler, Gökhan

doi:10.1007/978-3-030-28909-6_7

Cited by 27 publications

(16 citation statements)

References 83 publications

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“…Literatürde sıklıkla kullanılan metasezgisel yöntemler genetik algoritma-GA [4], yapay ısıl işlem-YIİ [5], parçacık sürü optimizasyonu-PSO [6], farksal evrim-FE [7][8][9] olarak örneklendirilebilir. Jeofizikte parametre kestirim çalışmalarında yaygın olarak kullanılan algoritmalara ise GA [10][11][12], PSO [13][14][15][16][17][18][19], FE [2,3,[19][20][21][22][23][24], YIİ algoritması [25][26][27][28][29] farksal arama algoritması [30,31] örnek olarak verilebilir. Parametre kestirim çalışmalarında uygulanan güncel algoritmalara örnekler ise gri kurt optimizasyonu [32] geri-izleme arama optimizasyonu [33], guguk kuşu arama algoritması [34] olarak verilebilir.…”

Section: Introductionunclassified

Inversion of Gravity Anomalies by Cuckoo Search Algorithm

KARAOĞLAN>

Göktürkler

2022

Deu Muhendislik Fakultesi Fen Ve Muhendislik

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Metasezgisel algoritmalar jeofizik ters çözüm çalışmalarında sıklıkla kullanılır duruma gelmiştir. Türev tabanlı en iyileme yöntemlerinin aksine, iyi bir başlangıç modeline ihtiyaç duymayan arama algoritmaları parametre uzayını kapsamlı tarama özelliğine sahip olduklarından jeofizikte model parametre kestirimleri için avantaj sağlamaktadır. Sunulan çalışmada, gravite anomalilerinin ters çözümünde guguk kuşu arama algoritması kullanılmıştır. Algoritmanın kullanıcı tanımlı parametre sayısının az olması ve yapılan literatür taramasında doğadan esinlenilerek oluşturulan birçok metasezgisel yönteme göre daha iyi sonuç vermesi, parametre kestirim çalışmasında guguk kuşu algoritmasının kullanılmasını teşvik etmektedir. Gravite belirtisine ait genlik katsayısı, kaynak derinliği, belirti izdüşümü ve şekil faktörleri kestirimi yapılan model parametreleridir. Algoritmaya ait kontrol parametreleri (popülasyon sayısı ve yumurtanın yuvadan atılma olasılığı) ise gürültüsüz kuramsal veri kümesi kullanılarak parametre belirleme çalışmaları (parameter tuning) ile detaylı bir şekilde irdelenmiştir. Sonrasında kontrol parametre çiftinin doğruluğu gürültü içeren veri kümesi üzerinde test edilmiştir. Ardından, Küba’da bir kromit yatağı üzerinde ölçülen arazi verisi ve Kanada’da yer alan bir sülfit cevheri üzerinde ölçülen arazi verisi değerlendirilerek, anomalilere ait model parametreleri kestirilmiştir. Kuramsal ve arazi veri kümelerine ait model parametrelerinin güvenilirliğinin belirlenmesi için, Metropolis-Hasting algoritması kullanılarak, kestirim parametreleri istatistiksel olarak da test edilmiştir. Doğası gereği iyi bir başlangıç modeline ve model parametrelerine göre kısmi türev hesabına ihtiyaç duymayan algoritma, kullanıcı tanımlı iki parametre içermesi sayesinde parametre kestirim çalışmalarında kolaylık sağlamıştır. Yapılan belirsizlik analizleri sonucunda da algoritmanın gravite verilerinin ters çözümünde uygulanabilir bir algoritma olduğu belirlenmiştir.

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Section: Introductionunclassified

Inversion of Gravity Anomalies by Cuckoo Search Algorithm

KARAOĞLAN>

Göktürkler

2022

Deu Muhendislik Fakultesi Fen Ve Muhendislik

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“…Due to its limitations in delineating an effective solution, global optimization or metaheuristic optimization is necessary for finding an optimal solution that does not need an initial guess of the model parameters and can give the best result. Global optimization such as the genetic algorithm (GA), particle swarm optimization (PSO), differential evolution (DE) algorithm, very fast simulated annealing (VFSA), genetic-price algorithm (GPO), and whale optimization algorithm (WOA) has been applied to numerous geophysical applications such as seismic data [56][57][58], self-potential data [59][60][61][62][63][64][65][66][67][68][69][70][71][72][73], and also in the interpretation of gravity and magnetic data [3,[74][75][76][77][78][79][80][81][82][83][84][85][86][87][88][89][90][91][92].…”

Section: Introductionmentioning

confidence: 99%

Interpretation of Magnetic Anomalies over 2D Fault and Sheet-Type Mineralized Structures Using Very Fast Simulated Annealing Global Optimization: An Understanding of Uncertainty and Geological Implications

Biswas

Rao

2021

Lithosphere

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Identification of intraterrane dislocation zones and associated mineralized bodies is of immense importance in exploration geophysics. Understanding such structures from geophysical anomalies is challenging and cumbersome. In the present study, we present a fast and competent algorithm for interpreting magnetic anomalies from such dislocation and mineralized zones. Such dislocation and mineralized zones are well explained from 2D fault and sheet-type structures. The different parameters from 2D fault and sheet-type structures such as the intensity of magnetization (k), depth to the top (z1), depth to the bottom (z2), origin location (x0), and dip angle (θ) of the fault and sheet from magnetic anomalies are interpreted. The interpretation suggests that there is uncertainty in defining the model parameters z1 and z2 for the 2D inclined fault; k, z1, and z2 for the 2D vertical fault and finite sheet-type structure; and k and z for the infinite sheet-type structure. Here, it shows a wide range of solutions depicting an equivalent model with smaller misfits. However, the final interpreted mean model is close to the actual model with the least uncertainty. Histograms and crossplots for 2D fault and sheet-type structures also reveal the same. The present algorithm is demonstrated with four theoretical models, including the effect of noises. Furthermore, the investigation of magnetic data was also applied from three field examples from intraterrane dislocation zones (Australia), deep-seated dislocation zones (India) as a 2D fault plane, and mineralized zones (Canada) as sheet-type structures. The final estimated model parameters are in good agreement with the earlier methods applied for these field examples with a priori information wherever available in the literature. However, the present method can simultaneously interpret all model parameters without a priori information.

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“…The interpretation of gravity and self-potential data falls on the main two categories as follows: the first category depends on threedimensional and two-dimensional data elucidation [8][9][10][11][12][13], the second category is depending using the simple geometric-shaped model such as spheres, cylinders, and sheets which are playing a vital role in interpreting the subsurface structures to reach the priors information that help in more investigations [14][15][16][17][18][19][20]. In addition, methods depend on the global optimization algorithms such as genetic algorithm [21][22][23][24], particle swarm [25,26], simulated annealing [27][28][29][30][31][32], flower pollination [33], memory-based hybrid dragonfly [34], differential evolution [35,36].…”

Section: Introductionmentioning

confidence: 99%

Combined Gravity or Self-Potential Anomaly Formula for Mineral Exploration

Essa¹,

Elhussein²

2021

Geophysics and Ocean Waves Studies

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A combined gravity and/or self-potential anomaly formula is utilized to estimate the model parameters of the buried geologic structures represented by simple geometric. The simple geometric shapes (spheres, cylinders, and sheets) are not really found but often applied to reduce the nonuniqueness in interpreting the gravity and self-potential data. Numerous approaches through the combined formula such as least squares, Werner deconvolution, and the particle swarm optimization method are used. The application of these methods was demonstrated by applying a synthetic gravity and self-potential example without and with 10% random noise to compare their efficiency in estimating the model parameters of the buried structures. Besides, they were applied to two field data for mineral exploration. The appraised model parameter values from each method were compared together and with those published in literature.

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Global Optimization of Near-Surface Potential Field Anomalies Through Metaheuristics

Cited by 27 publications

References 83 publications

Inversion of Gravity Anomalies by Cuckoo Search Algorithm

Inversion of Gravity Anomalies by Cuckoo Search Algorithm

Interpretation of Magnetic Anomalies over 2D Fault and Sheet-Type Mineralized Structures Using Very Fast Simulated Annealing Global Optimization: An Understanding of Uncertainty and Geological Implications

Combined Gravity or Self-Potential Anomaly Formula for Mineral Exploration

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