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Results
Synthetic Multicomponent AVO Study of Fractured Reservoir Models With Multiple Fracture Sets
Chen, He (Institute for Exploration and Development Geosciences, University of Oklahoma) | Castagna, John P. (Institute for Exploration and Development Geosciences, University of Oklahoma) | Brown, Raymon L. (Oklahoma Geological Survey)
ABSTRACT Synthetic pre-stack modeling for fractured reservoir models shows that azimuthal variation of converted PS reflection AVO is more sensitive to fractures than PP AVO. Assuming isotropic background material, fractures can potentially be detected with azimuthal converted PS AVO even at small incidence angles. Models containing a single fracture set present exhibit the largest variation in azimuthal AVO while multiple fracture sets with different azimuths and the same total crack density have reduced azimuthal response. Out-of-plane S-wave azimuthal AVO can be theoretically used to find vertical symmetry planes indicating the orientation direction of certain fracture sets.
- North America > United States > Texas (0.17)
- North America > United States > Oklahoma (0.16)
Case Study: AVO Analysis In a High Impedance Atoka Sandstone North Arkoma Basin, Mcintosh County, Oklahoma
Eissa, Mohamed A. (Institute for Exploration and Development Geosciences, The University of Oklahoma) | Castagna, John P. (Institute for Exploration and Development Geosciences, The University of Oklahoma)
Available data Amplitude-Variation with Offset (AVO) analysis can be used Well logs from the Wright 1-15 well (Figure 1) were available to detect and delineate gas bearing fluvial deltaic Atokan for this study. These included the gamma ray, deep and sand stratigraphic traps. These class I high impedance gas shallow resistivity, and porosity logs (neutron, density, and sand reservoirs are recognized by a characteristic phase sonic). The target reservoir is fluvial Pennsylvanian Lower change with increasing offset, a positive AVO intercept, and Atokan sand at depths 2585 to 2695 .
- North America > United States > Oklahoma > Oklahoma County (0.42)
- North America > United States > Oklahoma > McIntosh County (0.42)
- North America > United States > Oklahoma > Arkoma Basin > Wilburton Field > Pennsylvanian (Atokan) Spiro Formation (0.99)
- North America > United States > Oklahoma > Arkoma Basin > Wilburton Field > Cromwell Formation (0.99)
- North America > United States > Oklahoma > Arkoma Basin > Wilburton Field > Arbuckle Formation (0.99)
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Summary A conventionally processed, high-resolution 3-D seismic survey at the OU Gypsy test site exhibited poor ties to well control. The data was reprocessed with surface consistent predictive deconvolution, muting of wide-angle reflections, min/max exclusion stacking, and F-XY deconvolution. After reprocessing, a good character match with synthetic seismograms was observed. Introduction 3-D seismic reflection surveys targeting features at depths of 1000 ft or less are commonly acquired nowadays. Many of these surveys are part of oil exploration or development programs by smaller energy industry companies and contractors, but the use of 3-D surveys outside the energy industry is also growing (eg., Villella et al., 1997; Siahkoohi and West, 1998). The vast experience of the energy industry in acquisition and processing 3-D surveys provides a wealth of guidance for those less familiar with 3-D methods.
Summary A probabilistic inversion approach is combined with Gassmann’s equations to determine pore fluid modulus using elastic wave velocities. Numerical examples show that, even when uncertainties in input parameters are relatively large, useful estimates of fluid modulus can sometimes be obtained. More importantly, uncertainties in estimated fluid moduli and measures of information content can be calculated. For a well log data example, inverted fluid moduli compare favorably to moduli derived from conventional well log analysis. Introduction Seismic direct hydrocarbon indication using amplitude anomalies is based on the relationship between seismic impedance and pore fluid properties. Seismic impedance depends on both the pore fluid modulus (Kf) and the fluid density among other factors.
- Geophysics > Borehole Geophysics (1.00)
- Geophysics > Seismic Surveying > Seismic Modeling > Velocity Modeling (0.52)