Fracture Pattern Delineation Using Seismic Attribute Algorithms in s 3D GPR Data Set

Fractures are caused by changes in stress patterns. Fracture delineation using geophysical<br>techniques allows for a better understanding of stress processes and fluid flow. The main objective of<br>this study is to delineate and map fractures in a granitic body with the help of attribute algorithms. The<br>data is a 3D GPR survey consisting of 24 parallel lines on the Tishomingo Anticline in southern<br>Oklahoma. Changes in the dielectric constant between the granite and the fracture fill (air or water) will<br>produce a distinctive amplitude response related to geological features characteristic of the fractures.<br>Amplitude attribute algorithms allow the identification of fracture patterns. The resulting fracture<br>interpretation is corroborated by the surface fracture data.