application of multi spectral data of aster in oil and gas exploration activities
DESCRIPTION
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. Introduction What is asking for multi spectral data - PowerPoint PPT PresentationTRANSCRIPT
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.)
Contents1. Introduction2. What is asking for multi spectral
data3. Case study in Minhe basin, China4. Case study in Tarim basin, China5. Summary
1. IntroductionOil, Gas = fluid
Exploration oil and gas = Find or estimate trapsInterests are ……much in shape of geological structure,less in spectral information.
1. Introduction
Stri
ke r
idge
AnticlineAnticline
Anticline
Dip
slo
pe
Dip
slo
pe
Stri
ke r
idge Strike ridge
ASTER
TIR5 bands
SWIR6 bands
VNIR3 bands
2. What is asking for multi spectral data
If we can get ……1. Distribution trend of good source rockit would be helpful for oil and gas exploration.
2. Distribution pattern of good reservoir
3. Case study in Minhe Basin, China
Objective 1; Distribution trend of good source rockPrinciple; Good source = High TOC content
High TOC rock↓
dark in VNIR(Experimental)
TOC: Total organic carbon (%)
3. Case study in Minhe Basin, China
Good
Poor
Poor
3. Case study in Minhe Basin, China
Result; North-western to central part is in a fair way
3. Case study in Minhe Basin, ChinaObjective 2; Distribution pattern of good reservoir
Principle; Good reservoir = High porosity sandstone = High SiO2 content
-0.0000709
-0.00007085
-0.0000708
-0.00007075
-0.0000707
0 50 100SiO2 Content of rock samples (%)
ASTE
R TI
RTh
erma
l loga
rithm
ic re
sidua
l valu
e
TIR Band10TIR Band11TIR Band12TIR Band13
y = 2E-09x - 7E-05
y = 2E-09x - 7E-05
-0.0000709
-0.00007085
-0.0000708
-0.00007075
-0.0000707
0 10 20 30 40Porosity of rock samples (%)
ASTE
R TI
RTh
erma
l loga
rithm
ic re
sidua
l valu
e
TIR Band10TIR Band11TIR Band12TIR Band13
Band 10, 11; positively correlated
3. Case study in Minhe Basin, China
ASTER TIR B11 DN value
Result; Central part is in a fair way
3. Case study in Minhe Basin, ChinaFocusing from reservoir qualityFocusing from source rock qualityStructures in a fair way
4. Case study in Tarim Basin, China
4. Case study in Tarim Basin, ChinaObjective; 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, ChinaSWIR 678 TIR 11 12 14VNIR 123
Depend on low spatial resolution, SWIR and TIR image looks like out of focus
4. Case study in Tarim Basin, ChinaVNIR 123 Simulated EmissivitySimulated Reflectance
SWIR 678 TIR 11 12 14
Dolomite
Limestone
DevonianSiO2 rich
Give the spatial resolution of VNIR to SWIR and TIR
4. Case study in Tarim Basin, China
Dolom
iteLi
mes
tone
(Cal
cite
)
SWIR 678 5 km
O1
O2O3
O4
O5
S1
P1
SWIR 678
4. Case study in Tarim Basin, China
O1
O2O3
O4
O5
S1
P1
SWIR 678
dolomite / limestone
limestone
limestoneshale
siltstone / mudstone
Landsat5 TM Terra ASTER
O1
O2O3O4O5
O1
O21
O22
More detail identificationof lithological unit can be donein Ordovician.
Excellent source rock can be traced
summary1. 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.