. . . Leads

The following Leads are available for sale at US$100,000. each:

Purchaser insures first right of refusal on each Prospect, Override, or Field available for sale through Dynamic which are within the AMI boundary of the Lead for the 30 days following delivery of an opportunity.

To purchase a Lead, download an AMI Confidentiality Agreement, execute it, and return it to Dynamic Resources Corporation at the address listed below with a check for the purchase price. A Lead Report will be delivered within 30 days of receipt of above. On-line Lead documentation will be immediately made available, via a secure Internet Connection. Newly developed Prospects, Overrides, or Fields available for sale through Dynamic, which are within the AMI boundary of the Lead, will be delivered within 30 days of development either electronically or as a hardcopy report, depending on purchaser preference.

The following kinds of map data would be most useful for generating leads with the help of data mining:

1. Structure contour maps (line or color area) in time or depth
2. Isopach (thickness) maps
3. "Isochron" (time-"thickness") maps
4. Fault-pattern maps
5. Depositional environment maps
6. Maps of old-prospect/lead outlines
7. Seismic time-slice displays
8. Salt-distribution interpretation maps
9. Geopressure maps from well data
10. Geopressure maps from seismic-velocities
11. Seismic-velocity maps
12. Maps on paleo-picks
13. Maps of paleogeography
14. Maps of structural restoration
15. Maps of well locations (including directional wells)
16. Proprietary Gravity maps (Bouguer, residual, free-air)
17. Proprietary Magnetics Maps
18. Pipeline maps (especially for tracing infrastructure through time)
19. Outcrop maps
20. Subcrop maps
21. Fracture-orientation maps
22. Geothermal maps
23. Geochemical maturity maps (TAI, TTI, Ro, ect)
24. Source-rock quality maps (TOC, kerogen type)
25. Sand %, Shale %, Carbonate % maps
26. Seismic & sequence stratigraphic maps

These are all either interpretations of data or mechanical maps made using sparse data. They change through time, as new interpreters work the data and new information comes in. Knowing the way they have changed is actually useful too!

Any or all of them can be used in data-mining to good effect.

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