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Gravity  modeling as guidance for salt interpretation: a case study from the Western Gulf Gravity  modeling as guidance for salt interpretation: a case study from the Western Gulf

Gravity modeling as guidance for salt interpretation: a case study from the Western Gulf - PowerPoint Presentation

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Gravity modeling as guidance for salt interpretation: a case study from the Western Gulf - PPT Presentation

Mexico Irina Filina formerly at Hess Corporation currently at the University of Nebraska at Lincoln Nicholas Delebo Gopal Mohapatra Clayton Coble Gary Harris John Layman Mike Strickler and JP Blangy ID: 909430

seismic salt data gravity salt seismic gravity data interval model contour 000 mgal reprocessing gulf mexico autochthonous shown bouguer

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Slide1

Gravity modeling as guidance for salt interpretation: a case study from the Western Gulf of Mexico

Irina Filina

* (formerly at

Hess Corporation

, currently at

the University of Nebraska at Lincoln

),

Nicholas

Delebo, Gopal Mohapatra, Clayton Coble, Gary Harris, John Layman, Mike Strickler and JP Blangy,

Hess Corporation

Slide2

Outline

2

1

Study area – Western Gulf of Mexico

2

3

Gravity model built from seismic salt horizons

Velocity to density conversion - modified Gardner equation based on well data and public domain datasets

4

Results - how gravity can help with seismic salt/velocity model

Slide3

Study area – Western Gulf of Mexico

contour interval 250

ft

Western Gulf of Mexico

Seismically challenged due to presence of salt

Seismic reprocessing effort

380 blocks, shown by red outline

3D seismic data from multiple vendors merged for proprietary reprocessing

Gravity modeling iterating with seismic to obtain more confident salt model

Bathymetry map of

WGoM

Seismic

reprocessing

Alaminos Canyon

East Breaks

Gulf of Mexico

East Breaks

0

15,000

Slide4

Salt in Gulf of Mexico

Salt resides in two layers:

Allochthonous (shallow)

Autochthonous (deeper)

Seismic image of salt:

Top of allochthonous (shallow) salt is the most confident in seismic;

Base of shallow salt may be ambiguous, although is mapped relatively confidently in some areas;

Top and base of deep salt is somewhat ambiguous.

Autochthonous

salt

Basement

Depth below sea level in feet

20,000

40,000

Allochthonous

salt

Water

Example of density cross-section

Slide5

Gravity data

Gravity data was acquired with seismic 2D survey (phase 45, available from CGG GravMag Solutions)

Regional increase from NW to SE due to crustal thinning

Oceanic crust confirmed by refraction data in SE corner

Local negative anomalies due to presence of salt; the known “salt wall” province trending SW-NE

contour interval 2 mGal

Bouguer correction density is 1.9

g/cc

shown with permission from CGG GravMag Solutions

Seismic

reprocessing

Bouguer gravity

map

Slide6

Salt in Gulf of Mexico

First

vertical

derivative of

Bouguer gravity

Allochthonous salt

thickness from

seismic

Seismic

reprocessing

Contour interval 2.5 Eotvos

Contour interval 1000

ft

Slide7

How gravity can help

Rock salt has low density

2.15 g/cc assumed for this study based on core data

For most of section salt is less dense than the surrounding sediments => source of negative gravity anomaly

Gravity data may be used as an independent tool to

(1) test the existing salt model

(2) guide seismic Base of

allo

-salt (shallow) interpretation

(3) test different geological hypotheses (e.g., presence of salt roots, rafted sections, subsalt minibasins).

First

vertical

derivative of

Bouguer gravity

Seismic

reprocessing

Contour interval 2.5 Eotvos

Slide8

Building a gravity model

From Horizons to Continuous Layers

For this project three pairs Tops and Bases were used in order to describe complex geometries

of

allochthonous (shallow)

salt

Salt

The

patched horizons

need

to be organized into continuous layers for gravity modeling

Seismic input - horizons

Gravity model – continuous layers

Water

Slide9

Building a gravity model - layers

What goes in the model:

Bathymetry (from seismic)

Allochthonous salt – three tops and three base horizons from seismic data

Autochthonous salt – top from seismic (where interpretable)

Base of auto- salt is assumed to be the top of acoustic basement (inferred as local lows of

Top_auto

, with some seismic control)

Upper crust with densities varying from 2.67 g/cc to 2.9 g/cc;

Lower crust of density 2.9 g/cc;

Mantle, 3.3 g/cc

Water

Autochthonous

salt

Basement

Depth below sea level in feet

20,000

100,000

Allochthonous

salt

60,000

Moho

Continental crust

Mantle

Slide10

Deep sources of gravity anomaly

Basement

Partially from seismic as local lows of autochthonous slat

Moho

Very limited refraction data - [Nakamura, Y., et al., 1988] shown as white lines

Oceanic crust (~ 7 km thick) at the SE corner of the model from refraction data

From gravity modeling to fit the regional trend

Crustal thickness

thinned continental crust is assumed in order to satisfy regional gravity trend of ~ 100 mGal

Nakamura, Y., et al., 1988,

Gulf

Coast Association of Geological Societies Transactions,

38

, 207

.

contour interval 2 mGal

shown with permission from CGG GravMag Solutions

Seismic

reprocessing

Bouguer gravity

map

Seismic refraction data (Nakamura et al, 1988)

Slide11

Deep layers - Moho

contour interval 2 mGal

shown with permission from CGG GravMag Solutions

Bouguer gravity

map

contour interval 1000

ft

Depth to

Moho

Seismic

reprocessing

Moho

is at ~ 67

kft

depth, crust is ~7 km thick from refraction

90

kft

7

0

kft

Slide12

Deep layers - basement

contour interval 250

ft

Depth to Basement

45

kft

Bouguer gravity

map

contour interval 2 mGal

shown with permission from CGG GravMag Solutions

Seismic

reprocessing

Slide13

Gardner Coefficient versus depth

Classic Gardner equation

[Gardner et al, 1974]

The well data in the study area suggest that the constant value of 0.23 is oversimplified

Depth dependent Gardner coefficient was derived based on wells and public domain data

[

Hilterman

et al, 1998, Fleming et al, 2005]

Gardner, G., et al., 1974, Geophysics,

39,

no. N 6: 770

.

Fleming

, P. et al., 2005,

Integrated

Ocean Drilling Program: Expedition 308.

 

Hilterman

, F., et al., 1998,

proceedings

of the 14

th

Annual SEG Gulf Coast Technical Meeting, Geophysical Society of Houston, May 1998

.

Slide14

Calculated

Modified

Gardner equation

Salt 2.15g/cc

Observed

Free-Air gravity

Autochthonous salt

2 mGal confidence interval

Water, 1.03 g/cc

Calculated

Salt

2.15g

/cc

Observed

Free-Air gravity

Autochthonous salt

2 mGal confidence interval

Water, 1.03 g/cc

8 mGal

Results – base of salt sensitivity

Removed

salt

40,000

40,000

20,000

20,000

Slide15

Results – improved gravity match

Calculated

Slide16

Results – improved subsalt image

These

seismic data are owned by and proprietary to

MKI

(

MultiKlient Invest AS). Shown with permission of MKI/PGS.

Slide17

Initial model

After several iterations

Gravity mismatch

(observed – calculated)

Contour interval 1 mGal

Yellow color – mismatch within confidence interval;

Green/blue areas – need more low density (such as salt);

Orange/red – need high density, or remove salt.

Slide18

Summary

The 3D model integrates gravity, seismic, and well data

Iterative process – used to guide seismic salt interpretation

Independent tool to test different geological scenarios, such as presence of salt wings, overhangs, pedestals, sub-salt minibasins, etc.

Resulted in more confident salt model and lead to significant improvements in subsalt imaging.

Slide19

Acknowledgements

The authors are grateful to Hess Corporation for allowing them to publish this study.

We thank CGG GravMag Solutions for the use of the multi-client marine gravity data.

Hess would like to thank

MKI

/PGS for permission to

publish the

cross-section through a multi-client seismic

survey.

Tim Grow, Ken Kemp and Keith Katahara from Hess Corporation for valuable input and constructive discussions.

Slide20

Thank you!

20

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