Austin chalk fracture mapping using frequency data derived from seismic data

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dc.contributor.advisor Watkins , Joel S . en_US
dc.contributor.committeeMember Berg , Robert R . en_US
dc.creator Najmuddin , Ilyas Juzer en_US 2004 -09 -30T01 :40 :38Z 2014 -02 -18T22 :28 :04Z 2004 -09 -30T01 :40 :38Z 2014 -02 -18T22 :28 :04Z 2003 -05 en_US 2004 -09 -30T01 :40 :38Z
dc.identifier.uri http : / /hdl .handle .net /1969 .1 /34
dc.description.abstract Frequency amplitude spectra derived from P -wave seismic data can be used to derive a fracture indicator . This fracture indicator can be used to delineate fracture zones in subsurface layers . Mapping fractures , that have no vertical offset , is difficult on seismic sections . Fracturing changes the rock properties and therefore the attributes of the seismic data reflecting off the fractured interface , and data passing through the fractured layers . Fractures have a scattering effect on seismic energy reflected from the fractured layer . Fractures attenuate amplitudes of higher frequencies in seismic data preferentially than lower frequencies . The amplitude spectrum of the frequencies in the seismic data shifts towards lower frequencies , when a spectrum from a time window above the fractured layer and below the fractured layer is compared with each other . This shift in amplitudes of frequency spectra can be derived from seismic data and used to indicate fracturing . A method is developed to calculate a parameter t* to measure this change in the frequency spectra for small time windows (100ms ) above and below the fractured layer . The Austin Chalk in South Central Texas is a fractured layer and produces hydrocarbons from fracture zones with the layer (Sweet Spots ) . 2D and 3D P -wave seismic data are used from Burleson and Austin Counties in Texas to derive the t* parameter . Case studies are presented for 2D data from Burleson county and 3D data from Austin County . The t* parameter mapped on the 3D data shows a predominant fracture trend parallel to strike . The fracture zones have a good correlation with the faults interpreted on the Top of Austin Chalk reflector . Production data in Burleson County (Giddings Field ) is a proxy for fracturing . Values of t* mapped on the 2D data have a good correlation with the cumulative production map presented in this study . en_US
dc.format.extent 2482472 bytes
dc.format.medium electronic en_US
dc.format.mimetype application /pdf
dc.language.iso en _US en_US
dc.publisher Texas A &M University en_US
dc.subject fractures frequency Austin Chalk attributes en_US
dc.title Austin chalk fracture mapping using frequency data derived from seismic data en_US
dc.type Book en
dc.type.genre Electronic Dissertation en_US
dc.type.material text en_US
dc.format.digitalOrigin born digital en_US


Austin chalk fracture mapping using frequency data derived from seismic data. Available electronically from http : / /hdl .handle .net /1969 .1 /34 .

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