chmarking of the system’s prediction capability for each metric. In adding to the analytical toolkit, the key objective of this benchmarking method is to support decision making on an ongoing development, well before the entire program has been executed. Possible applications include: • Early confirmation of successful well placement. • Early indication of the impact on well performance as a result of changes to drilling and stimulation procedures. • A ‘conditional probabilistic' outlook of long-term well behavior to better define well/field economic scenarios and to guide reserve bookings. This process has been developed using public data from the data rich fields Barnett in Texas, Fayetteville in Arkansas and Woodford in Oklahoma. This process is also viable for plays with scarce data and is able to be refined with increasing data availability.


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