Model Selection in Hydraulic Fracture Imaging from Elastostatic Measurements
نویسندگان
چکیده
In this paper, the imaging of hydraulic fractures from tilt measurements is investigated with regards to model selection. The quantitative selection of the most probable model in a finite set of fracture geometry and loading is carried out using Bayes factors. The modeling error variance is also estimated during the inversion procedure. Such model selection method allows to retrieve a known limit for the resolution of fracture dimensions depending on the measurements configuration. Synthetic as well as field examples are presented.
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تاریخ انتشار 2005