The Corvis ST is one of the powerful devices for providing measurements of intraocular pressure (IOP) and a biomechanically-corrected IOP (bIOP). IOP is one of the critical factors that influence corneal biomechanical parameters, which can directly be affected by refractive surgeries such as MyoRing surgery in people with keratoconus eyes. Although IOP measurement has been evaluated in the extensive research lately, the numerical measurement of intraocular pressure (IOP) in keratoconus corneas after MyoRing surgery has not been investigated. Therefore, the present study aims to biomechanically examine the behavior of keratoconus cornea to provide accurate intraocular pressure in a patient subjected to MyoRing surgery. First, the corvis test on the keratoconus cornea is simulated by assuming a fluid-solid interaction between the aqueous humour and the cornea as a fluid cavity technique. Then, for different intraocular pressure, geometric, stiffness parameters of the cornea, and different dimensions of MyoRing, the statically biomechanical parameters of corvis tonometer are extracted. Additionally, the relationship between input parameters and each of the static biomechanical parameters of the corvis output is examined. In the next step, the theory of stochastic models is employed to convert finite element simulation to primary metamodels for producing corvis tonometer outputs in a real-time manner. Consequently, the primary metamodels and a reverse finite element technique are combined to generate intraocular pressure metamodel for defining the exact amount of intraocular pressure in the patient after MyoRing. To the best of the author's knowledge, it is the first time that the post-operative result of intraocular pressure in a patient with keratoconus corneas was accurately assessed. Finally, by performing the sensitivity analysis, the influence of the simulation input parameters on each of the corvis tonometry output parameters were determined. As a result, the evaluated IOP showed that the obtained outcome is in a good agreement with clinical observation. Keywords: Intra ocular pressure, Tonometry, Keratoconus, Finite element simulation, Surrogate model, Corvis tonometry