This document discusses using multi-spectral data from the ASTER satellite to aid in oil and gas exploration activities. It provides two case studies applying ASTER data in China - one in the Minhe Basin to identify trends in source rock distribution and reservoir quality, and another in the Tarim Basin to map the distribution of a good source rock unit. While the spatial resolution of ASTER data limits detailed lithological identification, simulated reflectance and emissivity processing can help trace thin but important beds. The document concludes that ASTER data has potential to contribute to basin studies by providing insight into source rock and reservoir distributions but is not yet fully utilized in the oil and gas industry.

1. Application of multi spectral data of ASTER in oil and gas exploration activitiesTakatoshi Namikawa, Masatane Kato (ERSDAC) Yoshimitsu Negishi (Mitsubishi Material Techno)Takumi Onuma (JGI Inc.)

2. ContentsIntroductionWhat is asking for multi spectral dataCase study in Minhe basin, ChinaCase study in Tarim basin, ChinaSummary

3. 1. IntroductionOil, Gas = fluidExploration oil and gas = Find or estimate trapsInterests are ……much in shape of geological structure,less in spectral information.

4. 1. IntroductionAnticlineStrike ridgeStrike ridgeDip slopeDip slopeStrike ridgeAnticlineAnticline

5. 2. What is asking for multi spectral dataASTERTIR5 bandsSWIR6 bandsVNIR3 bandsIf we can get ……1. Distribution trend of good source rock2. Distribution pattern of good reservoirit would be helpful for oil and gas exploration.

6. 3. Case study in Minhe Basin, China

7. 3. Case study in Minhe Basin, ChinaObjective 1; Distribution trend of good source rockPrinciple; Good source = High TOC contentHigh TOC rock↓dark in VNIR(Experimental)TOC: Total organic carbon (%)

8. 3. Case study in Minhe Basin, ChinaPoorGoodPoorResult; North-western to central part is in a fair way

9. 3. Case study in Minhe Basin, ChinaObjective 2; Distribution pattern of good reservoirPrinciple; Good reservoir = High porosity sandstone= High SiO2 contentBand 10, 11; positively correlated

10. 3. Case study in Minhe Basin, ChinaASTER TIR B11 DN valueResult; Central part is in a fair way

11. 3. Case study in Minhe Basin, ChinaFocusing from reservoir qualityFocusing from source rock qualityStructures in a fair way

12. 4. Case study in Tarim Basin, China

13. 4. Case study in Tarim Basin, ChinaObjective; Distribution of good source rockUpper Ordovician; Thin, but excellent source rock

14. 4. Case study in Tarim Basin, ChinaKalpin Uplift; Duplicated of thrust sheets

15. 4. Case study in Tarim Basin, ChinaSWIR 678TIR 11 12 14VNIR 123Depend on low spatial resolution, SWIR and TIR image looks like out of focus

16. 4. Case study in Tarim Basin, ChinaSimulated EmissivitySimulated ReflectanceVNIR 123SWIR 678TIR 11 12 14DevonianSiO2 richDolomiteLimestoneGive the spatial resolution of VNIR to SWIR and TIR

17. P1O4S1O5O1O3O24. Case study in Tarim Basin, ChinaSWIR 678SWIR 6785 kmLimestone(Calcite)Dolomite

18. P1O4S1O5O1O3O24. Case study in Tarim Basin, ChinaSWIR 678More detail identificationof lithological unit can be donein Ordovician.Excellent source rock can be tracedlimestoneO5O22shaleO4O21siltstone / mudstoneO3O2limestoneO1O1dolomite / limestoneTerra ASTERLandsat5 TM

19. summaryMulti spectral data of ASTER has not been fully used in oil and gas industry.It can contribute to basin study, in particular to get distribution trend of source rock and reservoir quality.Simulated reflectance/emissivity processing is a powerful tool for ASTER data to trace thin but important bed.

20. Thank you.ERSDAC, Mitsubishi Material Techno, JGI Inc.