Drilling in the deep water environment is expensive and risky. Seismic data has improved to where different pore fluid types can be distinguished. However, many ‘dry’ holes continue to be drilled, often due to ‘false’ hydrocarbon indicators.
This project was designed to develop and calibrate techniques to better identify fluid contents at depth. These include methods to make more valid estimates of fluid properties, better ways to calculate the fluid response in rocks, and techniques to distinguish interfering effects resulting from thin beds, low resolution, invasion, etc.
Results
Results We have demonstrated that with careful calibration, direct hydrocarbon indicators can better distinguish between uneconomic ‘Fizz’ gas and economic hydrocarbon reservoirs. Some of this progress comes from better characterization of fluid and rock properties. Other aspects include alternative techniques to invert surface seismic data for fluid types and saturations. We have also developed improved work flows for accurately measuring frequency dependent changes in seismic data that are predicted by seismic models, procedures that will help to more reliably identify anomalies associated with hydrocarbons.
We have been prolific in publishing expanded abstracts and presenting results, particularly at the SEG. This year, we had eight such papers to promote technology transfer
Benefits
This research project has focused on improving our ability to identify and quantify in situ fluids. This lowers the risk in drilling new prospects and improves our capability to monitor fluid motion and exchange in producing reservoirs. The prime benefit locally is an incremental improvement in discovery efficiency and cost. On a larger scale, this also improves our ability to find and assess deep-water resources as a national asset.
Summary
Several approaches have been taken to improve our ability to identify in situ fluids:
- Rock and fluid properties are systematic and can be predicted
- Correct values must be used to properly calibrate deep-water seismic data
- Turbidite reservoirs have geometries that can be identified in field data
- These geometric effects have been quantified and their influence examined
- Hydrocarbon indicators have been compared and evaluated for fluid sensitivity
- Inappropriate processing procedures have been identified and documented
- Inversion techniques have been developed to better distinguish hydrocarbons
- New processing work flows for frequency-dependent anomalies were developed
- The effects of attenuation have been evaluated and applied as an indicator
- A final technology transfer symposium is scheduled for April, 2006