Application of multi spectral data of ASTER in

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. )

Contents 1. Introduction 2. What is asking for multi spectral data 3. Case study in Minhe basin, China 4. Case study in Tarim basin, China 5. Summary

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.

1. Introduction D ope l s ip ge rid Strike ridge ike Anticline Strike ridge Dip s lope Anticline

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.

3. Case study in Minhe Basin, China

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 (%)

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

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

3. Case study in Minhe Basin, China ASTER TIR B 11 DN value Result; Central part is in a fair way

3. Case study in Minhe Basin, China Focusing quality Structures in areservoir fair wayrock Focusingfrom source quality

4. Case study in Tarim Basin, China

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

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

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

4. Case study in Tarim Basin, China VNIR 123 Simulated Reflectance SWIR 678 Dolomite Simulated Emissivity TIR 11 12 14 Devonian Si. O 2 rich Limestone Give the spatial resolution of VNIR to SWIR and TIR

4. Case study in Tarim Basin, China SWIR 678 5 km SWIR 678 S 1 O 5 O 1 D ol om ite Li (C me al sto ci te ne ) P 1 O 3 O 2 O 4

4. Case study in Tarim Basin, China SWIR 678 More detail identification of lithological unit can be done in Ordovician. P 1 Excellent source rock can be traced S 1 O 5 O 1 O 3 O 2 O 4 O 2 2 O 2 1 O 1 Landsat 5 TM limestone shale siltstone / mudstone O 5 O 4 O 3 O 2 limestone O 1 dolomite / limestone Terra ASTER

summary 1. Multi spectral data of ASTER has not been fully used in oil and gas industry. 2. It can contribute to basin study, in particular to get distribution trend of source rock and reservoir quality. 3. Simulated reflectance/emissivity processing is a powerful tool for ASTER data to trace thin but important bed.

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