Seismic integration in the modelling of injected sands - … · Development of Producing Areas,...

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June 11, 2012 Development of Producing Areas, Aberdeen Seismic integration in the modelling of injected sands Duncan Chedburn Kirsten Gray, Alison Jagger 1 , Gary Marsden 2 and Richard Todd ( 1 Centrica, 2 Marsden Geophysical Consulting Ltd)

Transcript of Seismic integration in the modelling of injected sands - … · Development of Producing Areas,...

Page 1: Seismic integration in the modelling of injected sands - … · Development of Producing Areas, Aberdeen June 11, 2012 Seismic integration in the modelling of injected sands Duncan

June 11, 2012 Development of Producing Areas, Aberdeen

Seismic integration in the modelling of injected sands

Duncan Chedburn

Kirsten Gray, Alison Jagger1, Gary Marsden2 and Richard Todd

(1 Centrica, 2 Marsden Geophysical Consulting Ltd)

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June 11, 2012

Agenda

Introduction to Area

Geological Setting

Geophysical Workflow

Static Modelling

Conclusions

Quad

9

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Introduction

• Quad 9 block – Gryphon field producing since 1993

• > 100 well penetrations in Gryphon

• Modelling area - 26 km2

• Main purpose of model – development opportunities for the gas cap

Aims of modelling

• Fit for purpose model, focussed on gas

• Define Gas Volumes and Uncertainty

• Suitable for dynamic modelling

• Incorporated as much determinism in the model as possible despite difficult geological geometries

• Repeatable and easy to update model (New seismic in 2012 and ongoing drilling)

0 1.5km

Gryphon

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Geological Setting

Reservoir

EARLY EOCENE

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5619.00’ 5622.00’ 5625.00’ 5628.00’

5628.00’ 5631.00’ 5622.00’ 5625.00’

DYKE

DYKE INJECTION BRECCIA

DYKE

GOC

Feeder dyke system

DYKE

Stepped discordant base

Injectites

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Geophysical Workflow

0 1000m Far Offset Coloured Inversion Cube

LOCATION MAP !!

Tullich

0 2500m

Gryphon

Harding

Maclure

A B

A B

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In Situ Sands

0 1000m

LOCATION MAP !!

Tullich

0 2500m

Gryphon

Harding

Maclure

A B

A B Far Offset Coloured Inversion Cube

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Injectites

0 1000m

LOCATION MAP !!

Tullich

0 2500m

Gryphon

Harding

Maclure

A B

A B Far Offset Coloured Inversion Cube

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Point set extraction

0 1000m

LOCATION MAP !!

Tullich

0 2500m

Gryphon

Harding

Maclure

A B

A B Far Offset Coloured Inversion Cube

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Amplitude Analysis of Point Set

Tw

o W

ay T

ime (

ms)

Seismic Amplitude Seismic Amplitude

GOC

OWC

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Time Dependant Amplitude Cut Offs

GOC

OWC

Tw

o W

ay T

ime (

ms)

Seismic Amplitude Seismic Amplitude

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Creating Probability Point Sets

GOC

OWC

Tw

o W

ay T

ime (

ms)

Seismic Amplitude

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S1

S1

S1

S2

S2

S2

Ax

A1 A2

A1 A2

GOC

OWC

Example; • Consider a point with a measured amplitude of -0.80 • Evaluate sand probability in gas leg, oil leg & aquifer

Assume; • Sand prob at low amp threshold S1 = 0.2 • Sand prob at high amp threshold S2 = 1.0

Gas Leg; Ax = -0.8 Low amplitude threshold A1 = -0.50 High amplitude threshold A2 = -2.40 Sand Probability = 0.33 Oil Leg; Ax = -0.8 Low amplitude threshold A1 = -0.30 High amplitude threshold A2 = -1.35 Sand Probability = 0.58 Aquifer; Ax = -0.8 Low amplitude threshold A1 = -0.20 High amplitude threshold A2 = -0.93 Sand Probability = 0.86

Ax

Ax

12

12

11 SS

AA

AASS x

x

0.8

Deriving pseudo sand probability

De-fluidising the seismic response

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Generating sand probability cubes

0 1000m A B

Far Offset Coloured Inversion Cube

1

0

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Kriged Probability Cube

Seismic probability cube

uploaded into static model.

Data Kriged in model

1

0

0 1000m Far Offset Coloured Inversion Cube

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Sand proportion

Simple sand shale model Sand Distribution Map

Insitu sand body mapped on

seismic. Deterministic use of

seismic data - Stochastic

modelling of sand

Probability of sand body derived

from seismic. Probabilistic use of

seismic data - Stochastic

modelling of sand using kriged

data as trend

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1

0

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Sand Distribution Section

0 1000m

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Work in Progress

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Connectivity of sand in the model

0 1000m

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Work in Progress

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Conclusions

• Modelling objectives – work in progress

• Direct incorporation of seismic into geological model to capture

complex geological geometries

• De-fluidising the seismic response

• Repeatable G&G workflow

• Incorporated as much determinism in the model as possible

• Probability method used to resolve issues faced in previous

model builds

• Simple fit for purpose model which is easily updateable and repeatable as required

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Acknowledgements

June 11, 2012

Gryphon Field Partner: Sojitz UK plc

Development of Producing Areas, Aberdeen

Marsden Geophysical Consulting Ltd.