Abstract: The invention relates to the development of an analytical model to predict the velocity of the continuously expanding front of the steam chamber in a steam assisted gravity drainage (SAGD) hydrocarbon production system. The developed analytical model has advantages over reservoir simulation tool in that it is very fast and can be easily calibrated with field observation well data before making good prediction. One field study shows that the developed model can achieve excellent prediction for a field SAGD performance. A better understanding of the size of the steam chamber and the velocity of the front should provide better time, cost and energy efficiency for the production of high viscosity hydrocarbons.

Abstract: The invention relates to the development of an analytical model to predict the velocity of the continuously expanding front of the steam chamber in a steam assisted gravity drainage (SAGD) hydrocarbon production system. The developed analytical model has advantages over reservoir simulation tool in that it is very fast and can be easily calibrated with field observation well data before making good prediction. One field study shows that the developed model can achieve excellent prediction for a field SAGD performance. A better understanding of the size of the steam chamber and the velocity of the front should provide better time, cost and energy efficiency for the production of high viscosity hydrocarbons.

Abstract: The coupling of geomechanics to reservoir simulation is essential for many practical situations in the exploitation of hydrocarbons. Such coupling requires cross-mapping block-centered data in reservoir model to nodal data in geomechanical finite element model. If different grid geometries and grid densities between two models are used, this data mapping will become considerably challenging. In this invention, an innovative method is proposed to achieve remarkable accuracy of data mapping from reservoir model to the geomechanical model with ease and quite efficiently using least squares finite element method. The achievement of accurate data mapping will enable efficient simulation coupling between reservoir simulation and geomechanical simulation to investigate some engineering problems in the exploitation of hydrocarbons.