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© 1998-2006 Rock Solid Images, all rights reserved HYDRATE RESOURCE HYDRATE RESOURCE IDENTIFICATION AND IDENTIFICATION AND CHARACTERIZATION CHARACTERIZATION FROM WELL LOGS FROM WELL LOGS AND SEISMIC AND SEISMIC Joel Walls Joel Walls Jack Dvorkin* Jack Dvorkin* Richard Uden** Richard Uden** *RSI and Stanford University **Marathon Oil Co.

HYDRATE RESOURCE IDENTIFICATION AND CHARACTERIZATION FROM WELL LOGS AND SEISMIC …hydrates/JoelWallsPresentation.pdf ·  · 2006-12-20HYDRATE RESOURCE IDENTIFICATION AND CHARACTERIZATION

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© 1998-2006 Rock Solid Images, all rights reserved

HYDRATE RESOURCE HYDRATE RESOURCE IDENTIFICATION AND IDENTIFICATION AND CHARACTERIZATION CHARACTERIZATION

FROM WELL LOGS FROM WELL LOGS AND SEISMICAND SEISMIC

Joel WallsJoel WallsJack Dvorkin*Jack Dvorkin*

Richard Uden**Richard Uden***RSI and Stanford University**Marathon Oil Co.

© 1998-2006 Rock Solid Images, all rights reserved

OutlineThe expanding search for hydrate resourcesOur focus: Mackenzie Delta (Mallik)Well logs and rock physicsSeismic Reconnaissance and Qualitative Interpretation

Seismic impedanceSeismic attenuationHybrid attributes

Quantifying Hydrate Volumes: Future DirectionsObservations and Summary

© 1998-2006 Rock Solid Images, all rights reserved

Nankai Trough

Sea Bottom

BSR

Expanding Search for Methane Hydrate

© 1998-2006 Rock Solid Images, all rights reserved

Cascadia (Vancouver Island, Hydrate Ridge)

Expanding Search for Methane Hydrate

© 1998-2006 Rock Solid Images, all rights reserved

Expanding Search for Methane Hydrate

Ecker, 2000

Outer Blake Ridge

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GOM

Expanding Search for Methane Hydrate

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Mallik Site

Expanding Search for Methane Hydrate

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Available data: stack seismic, 2 well logs NWSE

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Well Logs and Well Logs and Rock Physics Rock Physics

ModelingModeling

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Well 2L-38 Synthetic Gather 20 Hz

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Mathematical models.Mallik project.

0

10

20

0.2 0.3 0.4

Com

pres

sion

al M

odul

us (G

Pa)

Porosity

Stiff Sand

CementWeaklyCemented

Uncemented

a b c

Key -- Rock Physics Modeling

© 1998-2006 Rock Solid Images, all rights reserved

Mallik data.

Elastic Properties

a b c

0

1

2

3

4

0 .2 .4 .6 .8 1

Vel

ocity

(km

/s)

Hydrate Saturation

P

S

a

a

b

b

c

c

Stiff Sand Weakly Cemented Unconsolidated

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Shale to sand -- effect of thickness.

Forward Modeling at an Interface

10.50.25

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Well Tie – Well 2L-38 : Adjusted Tie

A

B

C

SEISMIC SYNTHETIC SEISMIC

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Well Ties – Time AlignmentThe middle hydrate zone (B) for each well synthetic was time aligned.

The seismic response at the upper hydrate zone (C) does not match the synthetic response well in either well.

The seismic response at the base of the lower hydrate zone (A) shows a better match to the synthetic response.

Overall well tie not considered adequate for quantitative interpretation

No gathers available for seismic. Limits ability to differentiate free gas and hydrates.

Decision was made to apply qualitative methods using multiple seismic attributes.

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Seismic Seismic Reconnaissance Reconnaissance and Qualitative and Qualitative InterpretationInterpretation

© 1998-2006 Rock Solid Images, all rights reserved

Migration

Zone A

Zone B

Zone C

NWSE

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P-wave Impedance (Zp)

Zone A

Zone B

Zone C

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Pseudo Poisson’s Ratio

Zone A

Zone B

Zone C

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Derivative Attribute, PC2 (typically a gas indicator)

Zone A

Zone B

Zone C

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Band-limited Impedance

Zone A

Zone B

Zone C

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Nankai

Sea BottomSea Bottom

BSRBSR

Muting of the Amplitude

Reduced Amplitude in and Below Hydrate Zone

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Cross-Well in Mallik

Vp (km/s) 100/Q

Quality Factor “Q”

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Mallik well.

No Q With QWill Attenuation Matter in Reflection Survey?

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Anomalous Absorption Attribute

Zone A

Zone B

Zone C

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Hybrid: High AI, High Attenuation

Zone A

Zone B

Zone C

Best qualitative hydrate recon. attribute

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Improving Improving Quantitative Quantitative

Interpretation; Interpretation; The FutureThe Future

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Low impedance at the seismic scale may represent low hydrate saturation in a thick layer or high saturation in thin layer.

Caveat of Scale

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Introducing Cumulative Attributes: CATTS

What if we want to quantify total hydrate volume?

hydrate saturation

accumulated hydrate volume

integral of anomaly of 1/M(comp. modulus)

integral of anomaly of 1/ AI2

5-meter (red), 10-meter (green), and 20-meter (blue) running window

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Calibrating CATTS

accumulated hydrate volume vs. integrated inverse modulus anomaly

accumulated hydrate volume vs. integrated inverse AI anomaly

5-meter (red), 10-meter (green), and 20-meter (blue) running window

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New DOE Research ProjectTopic: Hydrate Characterization from Integrated Well and Seismic Data2 year, $1.2m project started Oct 1, 2006Develop and test CATTS approach plus use of other DHI’s such as impedance, AVO, and QCurrently seeking seismic and well log data sets from hydrate regionsSeismic data quality and significant hydrate accumulations are key factors in selecting best data set

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What About CSEM?

CSEM Inversion superimposed on seismic section

Hydrocarbon Indicator from Integrated Seismic-EM Data

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Observations and SummaryExisting data sets teach us that

(a) the geometry of the reservoir and hydrate distribution in it affect the seismic response;(b) attenuation has to be taken into account during hydrate reservoir characterization; and, most importantly,(c) the competing effects of elastic contrast, geometry, and attenuation make seismic interpretation non-unique.

Q and Impedance combined are good recon. Tools for hydrates.Calibrating seismic to hydrate volume may be improved by assessing accumulated total hydrate volumes