Air injection-based enhanced oil recovery processes are receiving increased interest because of their high recovery potentials and applicability to a wide range of reservoirs. However, most operators require a certain level of confidence in the potential recoveries from these (or any) processes prior to committing resources. This paper addresses the challenges of predicting field performance of air injection projects using laboratory and numerical modelling. Laboratory testing, including combustion tube tests, ramped temperature oxidation and accelerating rate calorimeters can Supply data for simple analytical models, as well as providing important insights into potential recovery-related behaviours. These tests are less suited to providing detailed kinetic data for direct and reliable use in numerical simulators. Indeed, the oxidation reactions are sufficiently complex that, regardless of how powerful the thermal reservoir simulator is, its predicting capability will strongly depend oil the engineer's understanding of the process and ability to model the most relevant oxidation behaviours of the particular oil reservoir under study. It is proposed that the Optimum design cycle for air injection-based processes is to perform laboratory testing that Would aid in the understanding of the process and in the design and monitoring of a pilot-scale field operation. Analytical models and simplified, semi-quantitative reservoir simulation models Would be employed at this stage. If this evaluation stage is Successful, a pilot operation would be initiated and the data gathered during the Pilot, as well as laboratory oil property and compositional data, would then be used to history match and time a model for predictions of the full field operation.