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

Abstract A new heuristic algorithm to provide a solution to spontaneous potential anomalies resulted from idealized bodies like (sphere, horizontal cylinder, vertical cylinder and multiple bodies) is presented. The method is based on utilizing Whale Optimization Algorithm (WOA) as a new solution of the inverse problem of self-potential resulted from simple geometric source bodies. The studied parameters are polarization amplitude (K), the zero distance from origin (D), the depth (h), the polarization angle (θ) and the shape factor (q). The WOA first applied on synthetic example; the effect of random noise is examined as well, and the method depicted good results. The technique is then applied on five real field profiles from Turkey, USA and Indonesia. The inversion results illustrate that WOA accurately detects model parameters, and shows good validation when compared with other inversion methods in the published literature.

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