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Poster Session R
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A Remote Sensing Basic Study on Relation Between the Spectral properties (0.40 – 1.10um) of the Oil and Gas Microseepage in East Hebei Province
Conclusion
- The reflectivity of Geobotany influenced by microseepage was lower generally, and “red-shift” appeared.
- The anomaly of spectral features of soil in this study verified the “Red rock formation faded” theory of microseepage Remote Sensing.
- In the range of 0.4 – 1.10um range (visible and near – infrared), the optimum bands for microseepage Remote Sensing were selected o.51 – 0.61um; 0.77 – 0.85um; 0.89 – 1.01um.
- This study verified the feasibility for searching oil and gas resources though the multi-spectral scanning Remote Sensing technology.
Acknowledgements
This paper covers only a part of the whole work. The authors are very grateful to Professor Tong Qingxi, Professor Zheng Lanfen and Professor Huang Xiuhua for their constant guidance and encouragement. The authors are also grateful to other colleagues for providing valuable information.
References
- C.J. Simpson, J.R. Wilford, L.F. Macias, R. J. Korsch, Remote Sensing of Petroleum Gas Seepage Alteration Palm Valley Gas Field, Amdens Basin Central Australia, Eighth Thematic Conference on Geologic Remote Sensing, Denver, Colorado, USA, April 1991.
- Remote Detection of Geobotanical Anomalies Associated with Hydrocarbon Microseepage/Barret N. Rock/pp 183-196.
- Spectral Remote Sensing Investigation of Lisbon Valley, Uath/pp273-292.
Figure 1. A comarison of reflectivities of locust between the known oil site and the background area
a. Background b. Oil area
Figure 2. Ratio of hte metal element content of plant or soil in the known oil site to that in the background area
x Ratio of element content for plant
. Ratio of element content for soil
a. Oil area b. Oil area
Table 1: A comparison of contents (%) of oxides in soil between the known oil site and the background area.
Figure 3. A comprison of reflectivities of soil between the known oil site and the background area
a. Background b. Oil area
Figure 4. Ratio of spectral relativily for corresponding substance between the known oil site and the background area
1_________ Soil 2--------- Rich 3......... Rea
4--------- Locust 5-.-.-.-.- Popular
Table 3 : 19-Channel multi-spectral scanner band-parameters (um)
Figure 5. Subtraction of spectral reiativity for corresponding substance between the known oil site and the background area.
1________ Soil 2-------- Rich 3........ Read
4.-.-.-.-. Locust 5 .-.-.-. Poplar
Figure 6. Comparision of DN values for the leaves of locust between the known oil site and the background area
a. Background c. Oil area
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