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In situ Measurements of Contact Angle Distribution From Multiphase Micro-CT Images Presenter: Ahmed Ahed Al-Ratrout Supervisors: Prof. Martin J. Blunt.

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Presentation on theme: "In situ Measurements of Contact Angle Distribution From Multiphase Micro-CT Images Presenter: Ahmed Ahed Al-Ratrout Supervisors: Prof. Martin J. Blunt."— Presentation transcript:

1 In situ Measurements of Contact Angle Distribution From Multiphase Micro-CT Images Presenter: Ahmed Ahed Al-Ratrout Supervisors: Prof. Martin J. Blunt Dr. Branko Bijeljic

2 Outline  Introduction  Theory and workflow  Case 1: Cylindrical droplet_flat_h50 (θ = 90 o )  Case 2: Spherical droplet_flat_h50 (θ = 90 o )  Case 3: Spherical droplet_tilted surface  Case 4: Spherical droplet_transformed image  Oil/brine system results  Summary and Future work Slide 2

3 Introduction Slide 3 Water-wetOil-wet Measure θ distribution at pore-scale level for a whole rock sample automatically 3-phase contact line D Using of micro-CT imaging widely in petroleum engineering: A.Defining porosity in carbonates (Sok R.M.,2010) B.Fluid displacements visualization (Pak et al., 2013) C.Dynamic contact angle measurements (Hashmati M., 2014) D.In-situ contact angle measurements of scCO2 (Andrew M., 2014).

4 Contact angle Slide 4 Young-Laplace equation: - Two equilibrium phases in a cylindrical tube: Smoothing connected surfaces and re- uniformalizing the fluid-fluid curvature (constant) R r θ

5 Principle Slide 5 Fluid-fluid Interface Fluid-Fluid θ solid n| fluid-fluid - n solid Contact Line θ

6 Principle Slide 6 Fluid-fluid θ Solid Contact Line θ Fluid-fluid Interface n| fluid-fluid -n solid

7 Surface extraction Input data: 3-phase binary raw image Theory and workflow Surface smoothing Measure contact angle distribution Oil-rock surface brine-rock surface Oil-brine surface Validation: volume preservation and curvature uniformization

8 Case-1: cylindrical droplet_flat_h50 (θ = 90 o ) Slide 8 Guassian smoothing only Guassian + Curvature smoothing

9 Case-2: spherical droplet_flat_h50 (θ = 90 o ) Slide 9 Guassian smoothing only Guassian + Curvature smoothing

10 Slide 10 A B θ θ Case-3: spherical droplet_tilted surface

11 Slide 11 Impact of voxels local arrangement on the measurement! Case-3: spherical droplet_tilted surface

12 Slide 12 Case-3: spherical droplet_tilted surface Guassian smoothing only Guassian + Curvature smoothing

13 Slide 13 Case-3: spherical droplet_tilted surface

14 Slide 14 Case-3: spherical droplet_tilted surface BA C

15 Case-4: Spherical droplet_transformed image Slide 15 Image transformed

16 Slide 16 Guassian + Curvature smoothing Avg_Contact Angle94.1819 Case-4: Spherical droplet_transformed image

17 Results of Oil/Brine system Slide 17 A.Subvolume location of the segmented data at resolution of 6.4 microns/voxels. B.A 3D rendering of the higher resolution image (2 micrometer/voxel) showing a trapped oil ganglion (red) by brine (blue) in a single pore. (Kamaljit 2015)

18 Results of Oil/Brine system Slide 18

19 Results of Oil/Brine system Slide 19 Count 2141 Mean59.163 Mean Deviation13.996

20 Summary and future work Slide 20  We have presented a new method for measuring the contact angle distribution numerically from multiple immiscible fluid images.  Further analysis and sensitivity on artificial images with different resolutions.  Further improvements are under development to reduce uncertainty and errors in the measurements.

21 Summary and future work Slide 21  In future work, these angles will be input directly – on a pore-by-pore basis – into a pore-network model based on the dry scan of the rock. We will then make predictions of relative permeability and capillary pressure and show how a direct determination of contact angle (as opposed to some guessed random distribution, as done at present) affects the results.  ADCO has sent 9 rock samples (SCAL data of 2 samples) + 100L of crude oil of a giant carbonate reservoir in Abu Dhabi, to be part of this study.

22 Acknowledgements / Thank You / Questions Acknowledgement to ADNOC and ADCO management for the sponsorship of this PhD program. Acknowledgment to the supervisors Prof. Martin and Dr. Branko Acknowledgment to Dr. Ali Raeini for his valuable effort and support, Dr. Kamaljit Singh for his valuable advices and guidance Your attendance and valuable questions Slide 22


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