1. An siRNA comprising a sense region and an antisense region, wherein said sense region and said antisense region together form a duplex region, said antisense region and said sense region are each 18-30 nucleotides in length and said antisense region comprises a sequence that is at least 90% complementary to a sequence selected from the group consisting of SEQ. ID NOs. 438-573.
2. An siRNA comprising a sense region and an antisense region, wherein said sense region and said antisense region together form a duplex region and said sense region and said antisense region are each 18-30 nucleotides in length, and said antisense region comprises a sequence that is 100% complementary to a contiguous stretch of at least 18 bases of a sequence selected from the group consisting of SEQ. ID NOs. 438-573.
3. The siRNA of claim 2, wherein each of said antisense region and said sense region are 19-30 nucleotides in length, and said antisense region comprises a sequence that is 100% complementary to said sequence selected from the group consisting of: SEQ. ID NOs. 438-573.
4. A pool of at least two siRNAs, wherein said pool comprises a first siRNA and a second siRNA, said first siRNA comprises a first antisense region and a first sense region that together form a first duplex region and each of said first antisense region and said first sense region are 18-30 nucleotides in length and said first antisense region is at least 90% complementary to 18 bases of a first sequence selected from the group consisting of: SEQ. ID NOs. 438-573 and said second siRNA comprises a second antisense region and a second sense region that together form a second duplex region and each of said second antisense region and said second sense region are 18-30 nucleotides in length and said second antisense region is at least 90% complementary to 18 bases of a second sequence selected from the group consisting of: SEQ. ID NOs. 438-573, wherein said first antisense region and said second antisense region are not identical.
5. The pool of claim 4, wherein said first antisense region comprises a sequence that is 100% complementary to at least 18 bases of said first sequence, and said second antisense region comprises a sequence that is 100% complementary to at least 18 bases of said second sequence.
6. The pool of claim 4, wherein said first siRNA is 19-30 nucleotides in length and said first antisense region comprises a sequence that is at least 90% complementary to said first sequence, and second siRNA is 19-30 nucleotides in length and said second antisense region comprises a sequence that is at least 90% complementary to said second sequence.
7. The pool of claim 4, wherein said first antisense region is 19-30 nucleotides in length and said first antisense region comprises a sequence that is 100% complementary to at least 18 bases of said first sequence, and said second antisense region is 19-30 nucleotides in length and said second antisense region comprises a sequence that is 100% complementary to said second sequence.
8. The siRNA of claim 1, wherein said antisense region and said sense region are each 19-25 nucleotides in length.
9. The siRNA of claim 4, wherein said first antisense region, said first sense region, said second sense region and said second antisense region are each 19-25 nucleotides in length.
The claims below are in addition to those above.
All refrences to claim(s) which appear below refer to the numbering after this setence.
We claim:
1. A method for estimating the likelihood of the presence of natural resources within a predetermined search region, comprising the steps of:
generating a plurality of seismic attributes pertaining to the likelihood of finding the desired natural resources within the predetermined search region;
assigning a value to each of the plurality of seismic attributes;
generating a plurality of data confidence indicators;
assigning a value to each of the plurality of data confidence indicators;
deriving a final seismic attribute value associated with the plurality of seismic attributes;
deriving a final data confidence indicator value associated with the plurality of data confidence indicators;
correlating said final seismic attribute value with said final data confidence indicator value to derive the geologic confidence in finding the desired natural resources within the predetermined search region; and
graphically representing said geologic confidence.
2. The method of claim 1 wherein one of the plurality of sesimic attributes is chosen from the group consisting of: a fit of signal to depth structure, presence of a flat spot, amplitude over background, amplitude versus offset characterization, velocity sag, and attenuation of return signal.
3. The method of claim 1 wherein one of the plurality of data confidence indicators is chosen from the group consisting of: coverage of seismic data, seismic data quality, well control values, seismic data type, depth conversion confidence, synthetic tie value, AVO coverage, phase, tuning, and inversion.
4. The method of claim 1, wherein the step of assigning a value to each of the plurality of data confidence indicators comprises:
for any one of the plurality of data confidence indicators, determining the specific value with a lookup table.
5. The method of claim 1, wherein the step of assigning a value to each of the plurality of data confidence indicators comprises:
for any one of the plurality of data confidence indicators, determining the value of the one of the plurality of data confidence indicators based on the order it is in a menu.
6. The method of claim 1, the step of graphically representing comprising plotting the final data confidence value against the data confidence indicator value.
7. The method of claim 1, the step of graphically representing comprising plotting a weighted average of the plurality of values making up the seismic attribute values against a weighted average of the plurality of values making up the data confidence indicator values.
8. The method of claim 1, the step of graphically representing comprising plotting the final seismic attribute value against a final data confidence indicator value in a matrix.
9. The method of claim 8, the matrix comprising a plurality of zones, each of the zones indicating the likelihood of the presence of hydrocarbons.
10. The method of claim 9 further comprising:
determining an overall geologic confidence value based on the zone in which the step of correlating places.
11. A system for representing the geologic confidence in a search for desired natural resources within a predetermined search region, the system comprising:
a processor;
a graphical display communicativvely coupeld to the processor;
a storage, communicatively coupled to the processor, for data that the processor may operate, the data comprising:
instructions for generating a plurality of seismic attributes pertaining to the likelihood of finding the desired natural resources within the predetermined search region;
instructions for assigning a value to each of the plurality of seismic attributes;
instructions for generating a plurality of data confidence indicators;
instructions for as signing a value to each of the plurality of data confidence indicators;
instructions for deriving a final seismic attribute value associated with the plurality of seismic attributes;
instructions for deriving a final data confidence indicator value associated with the plurality of data confidence indicators;
instructions for correlating said final seismic attribute value with said final data confidence indicator value to derive the geologic confidence in finding the desired natural resources within the predetermined search region; and
instructions for graphically representing said geologic confidence.
12. The system of claim 11 wherein one of the plurality of sesimic attributes is chosen from the group consisting of: a fit of signal to depth structure, presence of a flat spot, amplitude over background, amplitude versus offset characterization, velocity sag, and attenuation of return signal.
13. The system of claim 11 wherein one of the plurality of data confidence indicators is chosen from the group consisting of: coverage of seismic data, seismic data quality, well control values, seismic data type, depth conversion confidence, synthetic tie value, AVO coverage, phase, tuning, and inversion.
14. The system of claim 11, wherein the instructions for assigning a value to each of the plurality of data confidence indicators comprises:
instructions for performing:
for any one of the plurality of data confidence indicators, determining the specific value with a lookup table.
15. The system of claim 11, wherein the step of assigning a value to each of the plurality of data confidence indicators comprises:
instructions for performing:
for any one of the plurality of data confidence indicators, determining the value of the one of the plurality of data confidence indicators based on the order it is in a menu.
16. The system of claim 11, the instructions for graphically representing comprising instructions for plotting the final data confidence value against the data confidence indicator value.
17. The system of claim 11, the instructions for graphically representing comprising instructions for plotting a weighted average of the final seismic attribute value against a weighted average of the data confidence indicator value.
18. The system of claim 11, the instructions for graphically representing comprising instructions for plotting the final seismic attribute value against a final data confidence indicator value in a matrix.
19. The system of claim 18, the matrix comprising a plurality of zones, each of the zones indicating the likelihood of the presence of hydrocarbons.
20. The system of claim 19 further comprising:
instructions for determining an overall geologic confidence value based on the zone in which the step of correlating places the endpoint in.