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. 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 = fluidExploration oil and gas = Find or estimate traps

Interests are ……much in shape of geological structure,less in spectral information.

1. Introduction

Str

ike r

idg

e

AnticlineAnticline

Anticline

Dip

slo

pe

Dip

slo

pe

Str

ike r

idg

e

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 rock

it 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 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

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, China

Objective 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 50 100

SiO2 Content of rock samples (%)

AS

TER

TIR

The

rmal

loga

rithm

ic r

esid

ual v

alue TIR Band10

TIR Band11

TIR Band12

TIR 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 40

Porosity of rock samples (%)

AS

TER

TIR

The

rmal

loga

rithm

ic r

esid

ual v

alue TIR Band10

TIR Band11

TIR Band12

TIR 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, China

Focusing from reservoir qualityFocusing from source rock qualityStructures in a fair way

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, 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, China

VNIR 123 Simulated EmissivitySimulated ReflectanceSWIR 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

Dol

omite

Lim

esto

ne

(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

O2

O3O4O5

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.