Model parameter estimation and its uncertainty for 2-D inclined sheet structure in self-potential data using crow search algorithm

摘要: Fracture or fault can control several geological geophysical events and exploration, where the associated with mineralization fluid flow be used as a source for Self-Potential (SP) anomaly. The 2-D inclined sheet modeling interpretation using SP data. In this paper, improved crow search algorithm (ICSA) Levy flight is proposed data inversion in determining model parameters. order to evaluate ICSA, ICSA compared standard (CSA) synthetic that contains multiple anomalies type structures. It was found CSA more explorative than both algorithms estimate posterior distribution (PDM) of Using uncertainty analysis within applied threshold objective function, are reliable determine PDM. Furthermore, tested implemented field providing experimental results demonstrate feasible effective parameters its mono- multi-SP anomalies. estimating parameter sufficient validation previous researchers. Finally, anomaly crossing Grindulu Fault Pacitan, East Java, Indonesia, analyzed.