Although the concept of “sweet spots” has been addressed many times, one needs to process huge subsurface datasets, filter the variables that are relevant in terms of playing a major role in future performance to provide a clear map of subsurface prioritization. Similar to the subsurface, surface prioritization follows a similar process addressing land and facility concerns. The combination of those two gives a map of prioritization that development needs to follow. That work is necessary in order to plan better towards company profitability in the face of volatile market conditions. The density of contributing data in these maps can be used to derive relative risk factors and to direct future operations accordingly. The accuracy of those maps can be checked through controlled sampling and when the overall maps attain a certain level of confidence, they can provide a basis for an objective and principles based reserve and resource assessment.