History Matching and uncertainty quantification are two important aspects of modern reservoir engineering studies. Finding multiple History Matching models for uncertainty quantification with minimum/lowest misfit is one of the focus of this research in Assisted History Matching methods (AHM). In this paper, the laboratory coreflooding analysis on representative reservoir rock samples (particularly carbonate rocks); and translating them into a real reservoir scenario through numerical modelling of reservoir coupling stochastic History Matching using the Laboratory results to reduce the uncertainty in porosity and permeability of the carbonate rocks was the key focus of this thesis. The study goals and objectives of this research is to perform a laboratory experiment on carbonate rocks and find their fluid saturation and the residual oil saturation, permeability and porosity values, the pressure values which can be used in the numerical simulations.