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Application of multi spectral data of ASTER in oil and gas exploration activities

This article explores the practical applications of multi-spectral data from the ASTER satellite in oil and gas exploration activities. Case studies from the Minhe Basin and Tarim Basin in China are included to demonstrate the effectiveness of utilizing ASTER data for identifying source rocks and reservoir quality.

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Application of multi spectral data of ASTER in oil and gas exploration activities

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

  2. Contents • Introduction • What is asking for multi spectral data • Case study in Minhe basin, China • Case study in Tarim basin, China • Summary

  3. 1. Introduction Oil, Gas = fluid Exploration oil and gas = Find or estimate traps Interests are …… much in shape of geological structure, less in spectral information.

  4. 1. Introduction Anticline Strike ridge Strike ridge Dip slope Dip slope Strike ridge Anticline Anticline

  5. 2. What is asking for multi spectral data ASTER VNIR 3 bands SWIR 6 bands TIR 5 bands If we can get …… 1. Distribution trend of good source rock • 2. Distribution pattern of good reservoir • it would be helpful for oil and gas exploration.

  6. 3. Case study in Minhe Basin, China

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

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

  9. 3. Case study in Minhe Basin, China Objective 2; Distribution pattern of good reservoir Principle; Good reservoir = High porosity sandstone = High SiO2 content Band 10, 11; positively correlated

  10. 3. Case study in Minhe Basin, China ASTER TIR B11 DN value Result; Central part is in a fair way

  11. 3. Case study in Minhe Basin, China Focusing from reservoir quality Structures in a fair way Focusing from source rock quality

  12. 4. Case study in Tarim Basin, China

  13. 4. Case study in Tarim Basin, China Objective; Distribution of good source rock Upper Ordovician; Thin, but excellent source rock

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

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

  16. 4. Case study in Tarim Basin, China Simulated Reflectance Simulated Emissivity VNIR 123 SWIR 678 TIR 11 12 14 Devonian SiO2 rich Dolomite Limestone Give the spatial resolution of VNIR to SWIR and TIR

  17. P1 O4 S1 O5 O1 O3 O2 4. Case study in Tarim Basin, China SWIR 678 SWIR 678 5 km Limestone (Calcite) Dolomite

  18. P1 O4 S1 O5 O1 O3 O2 4. Case study in Tarim Basin, China SWIR 678 More detail identification of lithological unit can be done in Ordovician. Excellent source rock can be traced limestone O5 O22 shale O4 O21 siltstone / mudstone O3 O2 limestone O1 O1 dolomite / limestone Terra ASTER Landsat5 TM

  19. summary Multi 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.

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