Quantification of sub-resolution porosity in carbonate rocks by applying high-salinity contrast brine using X-ray microtomography differential imaging

Abstract Characterisation of the pore space in carbonate reservoirs and aquifers is of utmost importance in a number of applications such as enhanced oil recovery, geological carbon storage and contaminant transport. We present a new experimental methodology that uses high-salinity contrast brine and differential imaging acquired by X-ray tomography to non-invasively obtain three-dimensional spatially resolved information on porosity and connectivity of two rock samples, Portland and Estaillades limestones, including sub-resolution micro-porosity. We demonstrate that by injecting 30 wt% KI brine solution, a sufficiently high phase contrast can be achieved allowing accurate three-phase segmentation based on differential imaging. This results in spatially resolved maps of the solid grain phase, sub-resolution micro-pores within the grains, and macro-pores. The total porosity values from the three-phase segmentation for two carbonate rock samples are shown to be in good agreement with Helium porosity measurements. Furthermore, our flow-based method allows for an accurate estimate of pore connectivity and a distribution of porosity within the sub-resolution pores.

[1]  Peter D. Lee,et al.  Quantifying and minimising systematic and random errors in X-ray micro-tomography based volume measurements , 2015, Comput. Geosci..

[2]  Heather L. MacLean,et al.  Comparing thresholding techniques for quantifying the dual porosity of Indiana Limestone and Pink Dolomite , 2015 .

[3]  One- and Two-Phase Permeabilities of Vugular Porous Media , 2004 .

[4]  W.,et al.  A Critical Review of Data on Field-Scale Dispersion in Aquifers , 2009 .

[5]  Mohamed Azaroual,et al.  Geochemical and solute transport modelling for CO2 storage, what to expect from it? , 2008 .

[6]  Dorthe Wildenschild,et al.  Image processing of multiphase images obtained via X‐ray microtomography: A review , 2014 .

[7]  Jean-Michel Morel,et al.  Nonlocal Image and Movie Denoising , 2008, International Journal of Computer Vision.

[8]  Peter D. Lee,et al.  Modelling particle scale leach kinetics based on X-ray computed micro-tomography images , 2016 .

[9]  C. Arns,et al.  Characterization of reactive flow-induced evolution of carbonate rocks using digital core analysis- part 1: Assessment of pore-scale mineral dissolution and deposition. , 2016, Journal of contaminant hydrology.

[10]  David R. Cole,et al.  Characterization and Analysis of Porosity and Pore Structures , 2015 .

[11]  Luc Vincent,et al.  Watersheds in Digital Spaces: An Efficient Algorithm Based on Immersion Simulations , 1991, IEEE Trans. Pattern Anal. Mach. Intell..

[12]  Martin J Blunt,et al.  Dynamic three-dimensional pore-scale imaging of reaction in a carbonate at reservoir conditions. , 2015, Environmental science & technology.

[13]  H. Scott Fogler,et al.  Influence of Transport and Reaction on Wormhole Formation in Porous Media , 1998 .

[14]  Pau-Choo Chung,et al.  A Fast Algorithm for Multilevel Thresholding , 2001, J. Inf. Sci. Eng..

[15]  E.E. Pissaloux,et al.  Image Processing , 1994, Proceedings. Second Euromicro Workshop on Parallel and Distributed Processing.

[16]  R. Ketcham,et al.  Acquisition, optimization and interpretation of X-ray computed tomographic imagery: applications to the geosciences , 2001 .

[17]  H. Tchelepi,et al.  The Impact of Sub-Resolution Porosity of X-ray Microtomography Images on the Permeability , 2016, Transport in Porous Media.

[18]  S. Carroll,et al.  Development of scaling parameters to describe CO2–rock interactions within Weyburn-Midale carbonate flow units , 2013 .

[19]  Mark A. Knackstedt,et al.  3D Characterisation of Microporosity in Carbonate Cores , 2007 .

[20]  Philippe Gouze,et al.  Dual control of flow field heterogeneity and immobile porosity on non‐Fickian transport in Berea sandstone , 2015 .

[21]  Philippe Gouze,et al.  Electrical and flow properties of highly heterogeneous carbonate rocks , 2014 .

[22]  Veerle Cnudde,et al.  High-resolution X-ray computed tomography in geosciences: A review of the current technology and applications , 2013 .

[23]  M. Tuller,et al.  Segmentation of X‐ray computed tomography images of porous materials: A crucial step for characterization and quantitative analysis of pore structures , 2009 .

[24]  V. Cnudde,et al.  3D mapping of water in oolithic limestone at atmospheric and vacuum saturation using X-ray micro-CT differential imaging , 2014 .

[25]  Philippe Gouze,et al.  Experimental Characterization of Porosity Structure and Transport Property Changes in Limestone Undergoing Different Dissolution Regimes , 2014, Transport in Porous Media.

[26]  Veerle Cnudde,et al.  Multi-scale, micro-computed tomography-based pore network models to simulate drainage in heterogeneous rocks , 2015 .

[27]  C. Welty,et al.  A Critical Review of Data on Field-Scale Dispersion in Aquifers , 1992 .

[28]  Kazuo Hayashi,et al.  High Resolution X-Ray Computed Tomography. , 1993 .

[29]  Philippe Gouze,et al.  Permeability impairment of a limestone reservoir triggered by heterogeneous dissolution and particles migration during CO2‐rich injection , 2013 .

[30]  C. Sayers The elastic properties of carbonates , 2008 .

[31]  Alberto Guadagnini,et al.  Anti-correlated Porosity–Permeability Changes During the Dissolution of Carbonate Rocks: Experimental Evidences and Modeling , 2015, Transport in Porous Media.

[32]  D. Bauer,et al.  Improving the Estimations of Petrophysical Transport Behavior of Carbonate Rocks Using a Dual Pore Network Approach Combined with Computed Microtomography , 2012, Transport in Porous Media.

[33]  Dietmar W Hutmacher,et al.  Assessment of bone ingrowth into porous biomaterials using MICRO-CT. , 2007, Biomaterials.

[34]  Samuel Krevor,et al.  Pore-Scale Heterogeneity in the Mineral Distribution and Reactive Surface Area of Porous Rocks , 2015 .

[35]  S. Carroll,et al.  CO2-induced dissolution of low permeability carbonates. Part I: Characterization and experiments , 2013 .

[36]  Jan D. Miller,et al.  Recent advances in the application of X-ray computed tomography in the analysis of heap leaching systems , 2012 .

[37]  M. Blunt,et al.  The effect of wettability on capillary trapping in carbonates , 2016 .

[38]  Martin J. Blunt,et al.  Pore-scale imaging of trapped supercritical carbon dioxide in sandstones and carbonates , 2014 .

[39]  Catherine A. Peters,et al.  Accessibilities of reactive minerals in consolidated sedimentary rock: An imaging study of three sandstones , 2009 .

[40]  Peyman Mostaghimi,et al.  Insights into non-Fickian solute transport in carbonates , 2013, Water resources research.

[41]  Stephen J. Neethling,et al.  Multi-scale quantification of leaching performance using X-ray tomography , 2016 .

[42]  D. Cantrell,et al.  Microporosity in Arab Formation Carbonates, Saudi Arabia , 1999, GeoArabia.

[43]  N. Otsu A threshold selection method from gray level histograms , 1979 .

[44]  Trond Varslot,et al.  IMAGE REGISTRATION: ENHANCING AND CALIBRATING X-RAY MICRO-CT IMAGING , 2008 .

[45]  P. Lai Pore-scale heterogeneity in the mineral distribution and reactive surface area of permeable rocks , 2016 .

[46]  Timothy D. Scheibe,et al.  Pore‐scale and multiscale numerical simulation of flow and transport in a laboratory‐scale column , 2015 .

[47]  Christoph H. Arns,et al.  Image-based relative permeability upscaling from the pore scale , 2016 .

[48]  R. Pini Multidimensional quantitative imaging of gas adsorption in nanoporous solids. , 2014, Langmuir : the ACS journal of surfaces and colloids.

[49]  M. Blunt,et al.  Comparison of residual oil cluster size distribution, morphology and saturation in oil-wet and water-wet sandstone. , 2012, Journal of colloid and interface science.