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The shape and sistribution of geophressure anomalies apprea to control how fast and in what direction fluids move through basins like the US Gulf Coast. Such pressure anomalies are dynamic in that they are naintained by a slow, ongoing flow of formation fluids containing dissolved gasses migrating out of the deep basin. In locating reserves within this fluid-flow system it helps to see where the hydrocarbon bearing fluids are coming from, where they are going, and where the gas reserves are collecting.
The best tools to image these anomailes within the geopressured section include:
- Seismic velocities (interval, residual, stacking)
- Subsurface temperature maps and cross-sections
- Reservoir initial pressure distribution vieewed in 3-D
- Pressure, depth, and temperature imaging from production data
- Changes in AVO responses in 2D and 3D seismic
- Multi-attribute seismic imaging and data clustering
Amplitude verses offset detection within the geopressure section can be tricky because the AVO responses of gas reservoirs and shales change quickly depending on where in a geopressure anomaly they occur.
- Figure 02. Hydrocarbon Concentration Connects to Deep Structure
- Figure 03. Convective Heat Flow Projection onto Top-of-Geopressure Surface
- Figure 04. Geopressure Distributions at West Cameron 66 Field
- Figure 05. Seismic Velocities (Interval, Residual, Stacking)
- Figure 06. Reservoir Initial Pressure Distribution
- Figure 07. Pressure, Depth, and Temperature Imaging from Production Data
- Figure 08. Using Geopressure Anomalies in Exploration and Development Offshore
- Figure 09. Pressure, Depth, and Temperature Imaging from Texas Onshore Production Data
- Figure 10. Data Mining and Search Strategies
- Figure 11. Changes in AVO Responses in 2D and 3D Seismic
- Figure 12. Bright Spot vs AVO/AVA Detection
- Figure 13. Pressure/Depth Exploration History
- Figure 14. Gaps in Frio Production in Kennedy County
- Figure 15. Turbidite Exploration Along Wilcox Depositional Front
- Figure 16. Multi-Attribute Seismic Imaging and Data Clustering
- Figure 17. Differential Geomechanics in a Geopressured Plume
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