Abstract
A comparison study using the least-squares minimization method, particle swam optimization method, and neural network method for interpreting self-potential data for typical shaped-models (spheres and cylinders). This interpretation process contains the delineation buried sources parameters, which are the amplitude factor, the depth to the structure, the source origin location, the angle of polarization, the shape factor. The stability of the suggested methods was tested on two synthetic data with and without noise and real data set from USA. The methods estimate the different structures parameters efficiently and accurately.
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Elhussein, M., Essa, K.S. (2021). Estimation of the Buried Model Parameters from the Self-potential Data Applying Advanced Approaches: A Comparison Study. In: Biswas, A. (eds) Self-Potential Method: Theoretical Modeling and Applications in Geosciences. Springer Geophysics. Springer, Cham. https://doi.org/10.1007/978-3-030-79333-3_5
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DOI: https://doi.org/10.1007/978-3-030-79333-3_5
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