| 摘要 |
A processor-based system utilizes analytical techniques that organize large volumes of hydrocarbon well data around spatial patterns, well characteristics, and/or calculated performance measurements in order to analyze the large volumes of well data faster and more efficiently. For example, one embodiment uses a custom-created library of metadata and rules that enables the underlying processor-based system to transform large volumes of oil and gas well data into a more organized and efficient database, saving many hours of labor. In particular, some of the organizational techniques include combinations of over 100 descriptors for each well, a variety of well-ranking regimes (such as Tiers, Quintiles, and Deciles), production profiles, and other groupings (such as Play Type, Operator Class, and the like). |
| 主权项 |
1. A computer-implemented method for analyzing large volumes of hydrocarbon well data using an organizational scheme that arranges the data around spatial patterns, well characteristics, and calculated performance measures, the method comprising:
accessing a volume of data representing a plurality of hydrocarbon wells, the volume including a plurality of parameters associated each of the plurality of hydrocarbon wells; applying one or more play-assignment rules to the volume of data to assign each of the plurality of hydrocarbon wells to a sub-play; grouping hydrocarbon wells assigned to a sub-play to generate organizational headers to the volume of data organized around sub-play spatial patterns; generating, based on the subsets of the volume of data organized around sub-play spatial patterns, at least one performance metric corresponding to at least one hydrocarbon well of the plurality of hydrocarbon wells; and facilitating display of the at least one performance metric. |
