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Quantitative investigation of microstructures within porous rocks by using very high resolution X-ray micro-CT imaging Gerhard Zacher 1 , Matthias Halisch², Peter Westenberger 3 and Frank Sieker 1 1 ) GE Sensing & Inspection Technologies, Wunstorf, Germany ²) Leibniz Institute for Applied Geophysics, Hannover, Germany ³) FEI Visualization Sciences Group, Düsseldorf, Germany Copyright General Electric 2014

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Quantitative investigation of microstructures within porous rocks by using very high resolution X-ray

micro-CT imaging

Gerhard Zacher1, Matthias Halisch², Peter Westenberger3 andFrank Sieker1

1) GE Sensing & Inspection Technologies, Wunstorf, Germany

²) Leibniz Institute for Applied Geophysics, Hannover, Germany

³) FEI Visualization Sciences Group, Düsseldorf, Germany

Copyright General Electric 2014

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Content

1. Introduction & Fundamentals

2. nanotom CT / resolution comparison

3. Scan results for geological samples

4. Conclusion & Outlook

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X-ray tubes Microfocus - nanofocus

Introduction & Fundamentals

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FundamentalsGeometry and Resolution

Advantage of nanofocus tube:resolution & Penumbra effect

Focal spot size:microfocus: F = 3 µmnanofocus: F = 0.6 µm

M=FDD/FOD ; Vx=P/M

Introduction & Fundamentals

mikrofocus nanofocuslimiting factor for image resolution = Fdetail detectability about 1/3 F

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Resolution and Detail DetectabilityDetail detectability of the nanofocus tube

Conclusion:detail detectabilityis no measurefor sharpness

Focal Spot 2.5 µm 0.8 µm

500 nm 500 nm

5 µm 5 µm

Introduction & Fundamentals

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Resolution and Detail DetectabilityResolution

2 µm bars 2 µm bars

2.5 µm

Focal spot size influence:

1.5 µm 0.8 µm

0.6 µm bars

Introduction & Fundamentals

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Content

1. Introduction & Fundamentals

2. nanotom CT / resolution comparison

3. Scan results for geological samples

4. Conclusion & Outlook

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nanotom multra-high resolutionnanoCT system

X-ray tube: nanofocus < 800 nm spot size180 kV / 15 W, tube cooling

X-ray detector:Cooled flat panel, 7.4 Mpixel,11 Mpixel virtual detector100 µm pixel size

Manipulator:5 axis stepper motors, granite-based, high-precision air bearing

nanotom CT

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Principle of CT

Acquisition of

(2D) projections

whilst the object

turns through 360°

rotation steps << 1°

nanotom CT

X-ray source CNC Detector

CT / volume reconstruction

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Principle of CTAcquisition

movie

nanotom CT

Sample rotation + acquisition imagesCopyright General Electric 2014

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Principle of CT: Reconstruction MethodExample: spark plug

back-projectionprojection inversion log + filter lineprofile

Acquisition of 600 projections 600 back projections 3D visualization

nanotom CT

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resolution comparison

1 mm

Improved sharpness (+80%) & increased CNR (+100%) due to diamondwindow and low noise detector

State of the art nanotom m

metallic foam: material development & characterization, automotive

Contrast resolution

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resolution comparison

Improved sharpness (+80%) & increased CNR (+100%) due to diamondwindow and low noise detector

metallic foam: material development & characterization, automotive

Contrast resolution

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resolution comparison

Comparison example (metal alloy*)

CT result close to synchrotron-based CT

State of the art nanotom m

AlMg5Si7 Alloy: material research, University & Industrial metallography labs

Synchrotron-based CT (ESRF Grenoble/France)

100 µm

* J. Kastner, B. Harrer, G. Requena, O. Brunke, A comparative study of

high resolution cone beam X-ray tomography and synchrotron tomography applied to

Fe- and Al-alloys. NDT&E Int. vol. 43, pages 599-605

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Content

1. Introduction & Fundamentals

2. nanotom CT / resolution comparison

3. Scan results for geological samples

4. Conclusion & Outlook

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Cretaceous reservoir sandstone“Bentheimer”

Standard petrophysicalanalysis

Scan data of geological samples

Bentheimer sandstone

Electron microscope images and thin sections with highly weathered feldspar (left); porosity permeability cross plot from experimental analysis (right)

38 mm

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Cretaceous reservoir sandstone“Bentheimer”

X-ray CT(Ø 5 mm)Vx = 1 µm

Scan data of geological samples

1 mm

A

BAA

BB

A

B

Bentheimer sandstone

2D slice and 3D volume of CT scan. Quartz (grey), (A) clay (brown), (B) feldspar (blue) and zirconia (red). Right: pore space is separated (green)

5 mm

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Cretaceous reservoir sandstone“Bentheimer”(Ø 5 mm)

Vx = 1 µm

1 mm

Scan data of geological samples

Bentheimer sandstoneIncreasing inhomogeneity of samples

Representative?

Scaleproblem?

For different sandstones (Bentheimer, Oberkirchenerand Flechtinger) porosity has been evaluated by different methods. Range differs a lot.

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Cretaceous reservoir sandstone“Bentheimer”(Ø 5 mm)

Vx = 1 µm

Scan data of geological samples

Comparison of sandstones

average Porosity: ~ 22.5 %representative scan volume: 1000x1000x1000 Voxel

average Porosity: ~ 7 %representative scan volume: > 1750x1750x1750 Voxel

1 mm

Bentheimer Sandstone Flechtingen Sandstone

Porosity (CT) with respect to volume size for different sandstones

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Scan data of geological samplesBentheimer sandstoneDigital Rock Evaluation

segmentation percolation testconnectivity test

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Scan data of geological samplesBentheimer sandstoneDigital Rock Evaluation

quantitative evaluationskeletonization

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Cretaceous reservoir sandstone“Bentheimer”(Ø 5 mm)

Vx = 1 µm

Avizofluid flow simulation

Scan data of geological samples

videoBentheimer sandstoneDigital Rock Evaluation

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Pyroclastic rock (Ø 1 mm)

Vx = 1 µm

yz-slice

1 mm

Scan data of geological samples

yz-slice with different grains with high porosity or fractures and bigger pores

3 mm

zoomedarea

Etna

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1 mm

Scan data of geological samples

Zoom into yz-slice with measurement of thin wall: 1.8 µm

3 mm

Pyroclastic rock (Ø 1 mm)

Vx = 1 µm

yz-slice

Etna

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Pyroclastic rock (fresh’11)(Ø 10 mm)

Vx = 5 µm

xy-slice

1 mm

Scan data of geological samples

xy-slice through 5x5x5mm cube used later for flow simulation

3 mm

Etna

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1 mm

Scan data of geological samples

3 mm

Pyroclastic rock (fresh’11)(Ø 10 mm)

Vx = 5 µm

3D volume

The surface is composed of 18 Mio. faces and represents the stone matrix. Shadows enhance the spatial impression.

SCHEMATIC WORKFLOW FOR POROSITY AND PERMEABILITY ANALYSIS

Etna

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1 mm

Scan data of geological samples

Pyroclastic rock (fresh’11)(Ø 10 mm)

Vx = 5 µm

3D volume

The volume rendering visualizes the separated pore space, each individual pore has a separate color.

SCHEMATIC WORKFLOW FOR POROSITY AND PERMEABILITY ANALYSIS

Etna

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1 mm

Scan data of geological samples

Pyroclastic rock (fresh’11)(Ø 10 mm)Vx = 5 µmAvizofluid flow simulation

The pore space is further skeletonized. Different colors refer to different throat size.

SCHEMATIC WORKFLOW FOR POROSITY AND PERMEABILITY ANALYSIS

Etna

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1 mm

Scan data of geological samples

The color slice intersects the velocity field calculated with XLab Hydro and visualizes the vector field. Colors give the velocity’s magnitude.

pyroclastic rock (fresh’11)(Ø 10 mm)Vx = 5 µmAvizofluid flow simulation

SCHEMATIC WORKFLOW FOR POROSITY AND PERMEABILITY ANALYSIS

Etna

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Content

1. Introduction & Fundamentals

2. nanotom CT / resolution comparison

3. Scan results for geological samples

4. Conclusion & Outlook

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Conclusions• State of the art high resolution tube based X-ray CT with

the phoenix nanotom m offers

• Comparable (or higher) spatial resolution to SRµCT setups due to nanofocus tube (ease of use, lower cost and faster analysis)

• Wide variety of geological samples can be analysed

• Data of a whole 3D volume offers numerous qualitative AND quantitative interpretations

• New insights in rock materials for geo science

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Outlook

• More quantitative data analysis (like permeability, particle size distribution, density distribution, …)

• More input from geoscientists to better generate the potential of nanofocus X-ray CT

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Contact and further information:

www.ge-mcs.com/en/phoenix-xray.html

www.ge-mcs.com/de/phoenix-xray/applications/geology-exploration.html

[email protected]