Advanced Reservoir Imaging Using Frequency-Dependent Seismic Attributes

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Our report concerning advanced imaging and interpretation technology includes the development of theory, the implementation of laboratory experiments and the verification of results using field data. We investigated a reflectivity model for porous fluid-saturated reservoirs and demonstrated that the frequency-dependent component of the reflection coefficient is asymptotically proportional to the reservoir fluid mobility. We also analyzed seismic data using different azimuths and offsets over physical models of fractures filled with air and water. By comparing our physical model synthetics to numerical data we have identified several diagnostic indicators for quantifying the fractures. Finally, we developed reflectivity transforms for predicting pore ... continued below

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Hilterman, Fred; Patzek, Tad; Goloshubin, Gennady; Silin, Dmitriy; Sullivan, Charlotte & Korneev, Valeri December 31, 2007.

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Description

Our report concerning advanced imaging and interpretation technology includes the development of theory, the implementation of laboratory experiments and the verification of results using field data. We investigated a reflectivity model for porous fluid-saturated reservoirs and demonstrated that the frequency-dependent component of the reflection coefficient is asymptotically proportional to the reservoir fluid mobility. We also analyzed seismic data using different azimuths and offsets over physical models of fractures filled with air and water. By comparing our physical model synthetics to numerical data we have identified several diagnostic indicators for quantifying the fractures. Finally, we developed reflectivity transforms for predicting pore fluid and lithology using rock-property statistics from 500 reservoirs in both the shelf and deep-water Gulf of Mexico. With these transforms and seismic AVO gathers across the prospect and its down-dip water-equivalent reservoir, fluid saturation can be estimated without a calibration well that ties the seismic. Our research provides the important additional mechanisms to recognize, delineate, and validate new hydrocarbon reserves and assist in the development of producing fields.

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  • Report No.: None
  • Grant Number: FC26-04NT15503
  • DOI: 10.2172/927591 | External Link
  • Office of Scientific & Technical Information Report Number: 927591
  • Archival Resource Key: ark:/67531/metadc897243

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  • December 31, 2007

Added to The UNT Digital Library

  • Sept. 27, 2016, 1:39 a.m.

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  • Dec. 2, 2016, 7:10 p.m.

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Hilterman, Fred; Patzek, Tad; Goloshubin, Gennady; Silin, Dmitriy; Sullivan, Charlotte & Korneev, Valeri. Advanced Reservoir Imaging Using Frequency-Dependent Seismic Attributes, report, December 31, 2007; United States. (digital.library.unt.edu/ark:/67531/metadc897243/: accessed September 19, 2017), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT Libraries Government Documents Department.