1. A light guide comprising:
a guiding layer having a light emitting surface, a bottom side opposite the light emitting surface and a light incident surface connecting the light emitting surface with bottom side; and
a reflective layer formed on the bottom side of the guiding layer;
wherein, the reflecting layer contains polyester polyols, isocyanic aci, butyl acetate and reflective powder.
2. The light guide of claim 1, wherein, weight percentages in the reflective layer is substantially 15%-30% polyester polyols and isocyanic aci; 50% butyl acetate; and 20%-35% reflective powder.
3. The light guide of claim 2, wherein, the weight percentages in the reflective layer is substantially 15% polyester polyols and isocyanic aci; 50% butyl acetate; and 35% reflective powder.
4. The light guide of claim 1, further comprising a plurality of micro-structures formed on the bottom surface and covered by the reflecting layer.
5. A light guide comprising:
a guiding layer having a light emitting surface, a bottom side opposite the light emitting surface and a light incident surface connecting the light emitting surface with bottom side; and
a reflective layer formed on the bottom side of the guiding layer;
wherein, the reflecting layer contains one or more curing agents and reflective powder.
6. The light guide of claim 5, wherein the one or more curing agents contains acrylic monomer, poly acrylate oligomer, polyester acrylic modified polyester oligomer and a photo initiator.
7. The light guide of claim 6, wherein weight percentages in the one or more curing agents is substantially 50% acrylic monomer, 30% polyurethane acrylate oligomer, 15% polyester acrylic modified polyester oligomer, and 5% photo initiator.
8. The light guide of claim 5, wherein weight percentages in the reflecting layer is substantially 80% curing agents and 20% reflective power; or 72% curing agents and 28% reflective power; or 70% curing agents and 30% reflective power; or 65% curing agents and 35% reflective power.
9. The light guide of claim 5, further comprising a plurality of micro-structures formed on the bottom surface and covered by the reflecting layer.
10. A manufacturing method of a light guide, comprising steps of:
providing a guiding layer comprising a light emitting surface and a bottom surface opposite to the light emitting surface;
providing a compound containing polyester polyols, isocyanic aci, butyl acetate and reflective powder;
coating the compound on the bottom surface; and
heating to harden the compound to form a reflecting layer adhered to the bottom surface.
11. The manufacturing method of claim 10, wherein the bottom surface comprising micro-structures covered by the reflecting layer.
12. The manufacturing method of claim 10, wherein a weight percentage between the sum of the polyester polyols and the isocyanic aci, the butyl acetate, and the reflective powder is 15%-30%:50%:20%-35%.
13. The manufacturing method of claim 12, wherein a weight percentage between the sum of the polyester polyols and the isocyanic aci, the butyl acetate, and the reflective powder is 15%:50%:35%.
14. A manufacturing method of a light guide, comprising steps of:
providing a guiding layer comprising a light emitting surface and a bottom surface opposite to the light emitting surface;
providing a compound containing curing agents and reflective powder, the curing agents containing acrylic monomer, polyurethane acrylate oligomer, polyester acrylic modified polyester oligomer, and photo initiator;
coating the compound on the bottom surface; and
irradiating to harden the compound by ultraviolet light to form a reflecting layer adhered to the bottom surface.
15. The manufacturing method of claim 14, wherein the bottom surface comprising micro-structures covered by the reflecting layer.
16. The manufacturing method of claim 14, wherein a weight percentage between the curing agents and the reflective powder is 80%:20%, 72%:28%, 70%:30%, or 65%:35%.
17. The manufacturing method of claim 14, wherein a weight percentage between the acrylic monomer, the polyurethane acrylate oligomer, the polyester acrylic modified polyester oligomer, and the photo initiator is 50%:30%:15%:5%.
The claims below are in addition to those above.
All refrences to claim(s) which appear below refer to the numbering after this setence.
1. A computer-implemented method for processing raw reservoir data to reduce data size, the method comprising:
i. receiving a first series of raw data as a function of time from a first reservoir sensor;
ii. receiving a second series of raw data as a function of time from a second reservoir sensor;
iii. using a predetermined criteria to identify a plurality of subsets-of-interest within the first series of raw data;
iv. using time intervals associated with the plurality of subsets-of-interest within the first series of raw data to identify corresponding subsets-of-interest within the second series of raw data; and
v. generating a third series of data as a function of time using the second series of raw data comprising the corresponding subsets-of-interest, wherein the third series of data comprises a first data resolution for the corresponding subsets-of-interest and a second data resolution that is different from the first data resolution for data outside the corresponding subsets-of-interest.
2. The computer-implemented method of claim 1, wherein the first data resolution is greater than the second data resolution.
3. The computer-implemented method of claim 2, wherein the third series of data omits data outside the corresponding subsets-of-interest.
4. The computer-implemented method of claim 2, wherein the second series of raw data includes an original data resolution and the first data resolution is the same as the original data resolution.
5. The computer-implemented method of claim 1, further comprising:
repeating processes (ii), (iv), and (v) for at least one other reservoir sensor.
6. The computer-implemented method of claim 1, wherein the first reservoir sensor is a valve sensor.
7. The computer-implemented method of claim 1, wherein the second reservoir sensor is a pressure sensor.
8. The computer-implemented method of claim 1, wherein the third series of data comprises averaged data outside the corresponding subsets-of-interest.
9. The computer-implemented method of claim 1, further comprising:
compressing the first series of raw data and the second series of raw data.
10. The computer-implemented method of claim 1, further comprising:
acquiring the second series of raw data from the second reservoir sensor at an acquisition rate.
11. The computer-implemented method of claim 10, further comprising:
temporarily increasing the acquisition rate when the first series of raw data meets the predetermined criteria.
12. The computer-implemented method of claim 1, wherein the predetermined criteria includes a plurality of criteria.
13. The computer-implemented method of claim 1, wherein the predetermined criteria is selected from the group consisting of
a threshold temperature,
a threshold pressure,
a threshold pressure gradient,
threshold sensor noise,
an opened valve,
a closed valve, and
some combination thereof.
14. The computer-implemented method of claim 1, further comprising:
adjusting the predetermined criteria.
15. The computer-implemented method of claim 1, further comprising:
time stamping the first series of raw data and the second series of raw data.
16. The computer-implemented method of claim 1, further comprising:
displaying at least a portion of the third series of data using a computer or portable device.
17. The computer-implemented method of claim 1, further comprising:
displaying at least a portion of the third series of data as a plot.
18. The computer-implemented method of claim 1, further comprising:
interpreting at least a portion of the third series of data to derive a reservoir parameter.
19. The computer-implemented method of claim 18, further comprising:
interpreting at least a portion of the third series of data to determine a change in the derived reservoir parameter.
20. The computer-implemented method of claim 18, further comprising:
tracking the derived reservoir parameter.
21. The computer-implemented method of claim 1, further comprising:
generating a fourth series of data as a function of time using the first series of raw data comprising the plurality of subsets-of-interest, wherein the fourth series of data comprises a third data resolution for the plurality of subsets-of-interest and a fourth data resolution that is different from the first data resolution for data outside the plurality of subsets-of-interest.
22. The computer-implemented method of claim 1, wherein
(i) a predetermined criteria comprises a joint predetermined criteria,
(ii) the joint predetermined criteria is used to identify the plurality of subsets-of-interest within the first series of raw data and to identify a second plurality of subsets-of-interest within the second series of raw data, and
(iii) the time intervals associated with the plurality of subsets-of-interest within the first series of raw data and time intervals associated with the second plurality of subsets-of-interest within the second series of raw data are used to identify the corresponding subsets-of-interest within the second series of raw data.