Inverse analysis is commonly used in identifying geomechanical parameters based on the monitored information such as displacement or stress.Conventional inverse analysis method is incapable of recognizing non-finear relationship involving displacement, stress and mechanical parameters effectively.A hybrid model which combined Multi-output-Support Vector Machine (MSVM), Artificial Bee Colony (ABC) and numerical analysis has been proposed to estimate the in situ stress and rock mechanical parameters based on borehole fluid pressure.MSVM is used to represent the non-linear relationship between parameters of numerical model and borehole fluid pressure.ABC is used to search the set of unknown recognized parameters based on the objective function.Numerical analysis of hydraulic fracturing is used to create the necessary training and testing samples for the hybrid MSVM-ABC model.Results of numerical experiments demonstrate that a hybrid MSVM-ABC model for inverse analysis can effectively identify in situ stress and rock mechanical parameters based on wellbore fluid pressure in the hydraulic fracturing process.
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