A complete model parameter optimization from self-potential data using Whale algorithm

Abdelazeem, Maha; Gobashy, Mohamed; Khalil, Mohamed H.; Abdrabou, Mohamed

doi:10.1016/j.jappgeo.2019.103825

Cited by 37 publications

(11 citation statements)

References 25 publications

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“…Each anomaly controls a different area with uncertainty less than 21 m for position and 16 m for depth. Furthermore, the data were inverted using global optimization methods [4,42,43], where the results suggest that all the anomaly bodies at this line are horizontal cylinders. The anomalies can be interpreted as piping or seepage [3].…”

Section: Figurementioning

confidence: 99%

Self-Potential Method to Assess Embankment Stability: A Study related to the Sidoarjo Mud Flow

Sungkono

Wasilah

Widyaningrum

et al. 2020

J. Eng. Technol. Sci.

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Noise-Assisted Multivariate Empirical Mode Decomposition (NA-MEMD) can be used for qualitative interpretation of self-potential (SP) data.  Continuous Wavelet Transform (CWT) analysis was applied to identify multiple anomaly sources from SP data.  NA-MEMD and CWT were applied to SP data for qualitative and quantitative interpretations, respectively.  The combination of NA-MEMD and CWT on SP data was used to identify the location of fractures and seepage in the LUSI embankment.  The interpretation of the result was supported by direct current resistivity.

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Section: Figurementioning

confidence: 99%

Self-Potential Method to Assess Embankment Stability: A Study related to the Sidoarjo Mud Flow

Sungkono

Wasilah

Widyaningrum

et al. 2020

J. Eng. Technol. Sci.

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“…A detailed explanation and more discussion of the stability of WOA can be found in Mirjalili and Lewis (2016); Abdel-Basset et al 2018; Gobashy et al 2020; Abdelazeem et al (2019). Fig.…”

Section: Bubble-net Attackingmentioning

confidence: 97%

“…Whale Optimization Algorithm (WOA) has been recently used in solving the ill-posed inverse problem in geophysics. WOA inversion has been utilized to invert Self-Potential anomalies due to 2D inclined sheet and simple geometric bodies like (sphere, vertical cylinder, and horizontal cylinder) (Gobashy et al, 2020;Abdelazeem et al, 2019).…”

Section: Introductionmentioning

confidence: 99%

Minerals and ore deposits exploration using meta-heuristic based optimization on magnetic data

Gobashy

Abdelazeem

Abdrabou

2020

Contrib. Geophys. Geod.

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The difficulties in unravelling the tectonic structures, in some cases, prevent the understanding of the ore bodies' geometry, leading to mistakes in mineral exploration, mine planning, evaluation of ore deposits, and even mineral exploitation. For that reason, many geophysical techniques are introduced to reveal the type, dimension, and geometry of these structures. Among them, electric methods, self-potential, electromagnetic, magnetic and gravity methods. Global meta-heuristic technique using Whale Optimization Algorithm (WOA) has been utilized for assessing model parameters from magnetic anomalies due to a thin dike, a dipping dike, and a vertical fault like/shear zone geological structure. These structures are commonly associated with mineralization. This modern algorithm was firstly applied on a free-noise synthetic data and to a noisy data with three different levels of random noise to simulate natural and artificial anomaly disturbances. Good results obtained through the inversion of such synthetic examples prove the validity and applicability of our algorithm. Thereafter, the method is applied to real case studies taken from different ore mineralization resembling different geologic conditions. Data are taken from Canada, United States, Sweden, Peru, India, and Australia. The obtained results revealed good correlation with previous interpretations of these real field examples.

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“…Table 1 presents the synthetic model parameters, the parameter model bounds for the search spaces and the inversion results from the IMSOS algorithm. Recently, MHAs have succeeded in recovering the model parameters of multiple SP anomaly sources, including BHA [9], PSO [25], the Genetic Prices Algorithm (GPA) [27], Very Fast Simulated Annealing (VFSA) [28], the Flower Pollination Algorithm (FPA) [10] and the Whale Optimization Algorithm (WOA) [29]. GPA and VFSA need many more forward modeling evaluations for global optimization compared to the other algorithms [9,10,25,29].…”

Section: Self-potential Datamentioning

confidence: 99%

Improved Modified Symbiosis Organisms Search (IMSOS): A New and Adaptive Approach for Determining Model Parameters from Geoelectrical Data

Sungkono

Grandis

2021

J. Eng. Technol. Sci.

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Symbiotic Organisms Search (SOS) is a global optimization algorithm inspired by the natural synergy between the organisms in an ecosystem. The interactive behavior among organisms in nature simulated in SOS consists of mutualism, commensalism, and parasitism strategies to find the global optimum solution in the search space. The SOS algorithm does not require a tuning parameter, which is usually used to balance explorative and exploitative search by providing posterior sampling of the model parameters. This paper proposes an improvement of the Modified SOS (MSOS) algorithm, called IMSOS, to enhance exploitation along with exploration strategies via a modified parasitism vector. This improves the search efficiency in finding the global minimum of two multimodal testing functions. Furthermore, the algorithm is proposed for solving inversion problems in geophysics. The performance of IMSOS was tested on the inversion of synthetic and field data sets from self-potential (SP) and vertical electrical sounding (VES) measurements. The IMSOS results were comparable to those of other global optimization algorithms, including the Particle Swarm Optimization, the Differential Evolution and the Black Holes Algorithms. IMSOS accurately determined the model parameters and their uncertainties. It can be adapted and can potentially be used to solve the inversion of other geophysical data as well.

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A complete model parameter optimization from self-potential data using Whale algorithm

Cited by 37 publications

References 25 publications

Self-Potential Method to Assess Embankment Stability: A Study related to the Sidoarjo Mud Flow

Self-Potential Method to Assess Embankment Stability: A Study related to the Sidoarjo Mud Flow

Minerals and ore deposits exploration using meta-heuristic based optimization on magnetic data

Improved Modified Symbiosis Organisms Search (IMSOS): A New and Adaptive Approach for Determining Model Parameters from Geoelectrical Data

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