1. A computer-implemented method comprising: obtaining, by a processor, an oil field modeling file, wherein the oil field modeling file mathematically models one or more oil fields to make one or more predictions associated with the one or more oil fields; associating one or more values with one or more variables included within the oil field modeling file; executing the oil field modeling file to generate one or more model predictive result sets, wherein the one or more model predictive result sets includes a first result set; comparing the first result set with empirically-derived historical data; assigning a scenario similarity match accuracy score to the first result set based, at least in part, upon the similarity of the first result set compared to the empirically-derived historical data; defining a scenario similarity match failure condition associated with the first result set execution of the oil field modeling file based upon, at least in part, the scenario similarity match accuracy score; determining whether the scenario similarity match failure condition of the first result set occurs while processing the execution of the first result set and before processing the execution of the first result set is complete; and if the occurrence of the scenario similarity match failure condition is determined for the first result set, stopping the execution of the first result set, wherein the first result set is excluded from use in determining a best-fit result set, and if the occurrence of the scenario similarity match failure condition is not determined, completing the execution of the first result set and using the first result set to determine a best-fit result set.