Objectives
The research presented in this paper was conducted as part of a project funded to the Colorado School of Mines by the Department of Energy to identify compartmentalized petroleum reservoirs through discipline integration. We have successfully demonstrated the high degree of structural compartmentalization, coupled with stratigraphic compartmentalization of the Cretaceous Terry Sandstone in Hambert-Aristocrat Field in the Denver Basin. Because the geologic setting of this interval is similar to that of other intervals in the Denver Basin, and perhaps other Rocky Mountain basins, the results of this study have wider application.
In order to adequately document complex petroleum reservoirs, all available data should be utilized. In our view, data reduction in either form can lead to oversimplification of the final geologic analysis. Therefore, an objective was to develop a methodology for compilation and analysis of large datasets. We chose to develop this methodology in the PC computing environment, which is the computing choice of most small to mid-size petroleum companies. In this paper, we discuss the format for this methodology, and demonstrate that the methodology did prove valuable in leading to an improved geologic analysis of this structurally and stratigraphically complex reservoir interval.