Thermo Fisher Scientific
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Abu Dhabi, UAE | Booth #1
The International Society for Porous Media (InterPore) is a non-profit independent scientific organization established in 2008. It is a young and quickly growing community with members from academia and industry worldwide. Its general aim is to advance and disseminate knowledge for understanding, describing, and modeling natural and industrial porous media systems. Thermo Fisher Scientific is proud to be an InterPore 2022 platinum sponsor.
Understanding the porosity of a material, whether it is a defect or a feature, is critical for its continued quantification. For example, understanding the various types of porosity defects can guide adjustments in the manufacturing process to improve the material's properties. In a material that is porous by design, the expected level of porosity can be adapted through conception changes. Imaging techniques such as microCT, FIB-SEM, SEM, and TEM allow for the analysis of porous materials to quantify micropores, sponge-type voids, large macro-voids, inclusions, and so forth.
At Thermo Fisher Scientific, we strive to provide innovative analytical solutions. For over 20 years, the Thermo Scientific Avizo Software and Thermo Scientific PerGeos Software have evolved closely with the scientific community. They provide you with a reliable, fully automatable, customizable, and easy-to-use software solution so you can innovate faster.
PerGeos Software and Avizo Software are all-in-one digital labs that allow for the visualization, processing, and quantification of porous materials. Our analytical software solutions enable the detection and classification of various types of porosity (for example, connected vs. isolated; macro pores vs. micropores), even on images with complex artifacts (for example, pore back effect in FIB-SEM). Many porosity properties and statistics can be calculated, such as volume fraction, largest ball fitting through a given pore, pore size distribution, pore throat size distribution, pore orientation, shape factor, and other porosity properties. Porosity can be turned into a model (Pore Network Model), allowing for rapid understanding and exploration of the pore space that features spheres or ellipsoids-and-sticks type visualization with property mapping. PerGeos Software and Avizo Software also allow the direct calculation of the absolute permeability of the material from the segmented pore space.
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Tuesday, May 31 - 15:05 | Parallel Oral Session 5 | Room: MS10
Accurate modeling of multiphase flow in porous geological media is a critical component of a wide range of energy and environmental science applications, including production of oil and gas, geological sequestration of CO2 and evaluating geothermal systems. This evaluation is particularly challenging in carbonate rocks due to their inherently complex pore systems, associated with multiscale depositional and diagenetic heterogeneities, varying in a broad range of length scales. A significant portion of carbonate pore space is comprised of microporosity (pore size less than 10 microns), and there is an urgent need for pore network modeling methods that can account for the impact of micropores and the connectivity between micro and macropores on digital rock properties. Traditional pore network modeling and simulation methods that rely on single resolution images fail to adequately capture all these relevant length scales due to computational limitations. In this lecture, we will present a hybrid/multiscale Pore Network model that enables the integration of micro and macroscale imagery derived from microCT and SEM for predicting static and dynamic petrophysical properties.
We used multiple heterogeneous carbonate samples, including standard core plugs from a prolific reservoir in the Arab-D Formation of Saudi Arabia, representing the main lithofacies associations. We applied a state-of-the-art image processing workflow that allowed integrated image analysis of different modalities (microCT and SEM) and multiple resolutions (ranging from 30 μm to <1 μm). Multiple segmentation methods were tested on the microCT and SEM images. They converged into an automated segmentation routine using deep learning models, which enabled us to easily replicate the segmentation work for similar samples. High-resolution microCT data was used to obtain 3D pore type distribution that accounted for unresolved pore volume, which was subsequently imaged using SEM. A process-based (PB) modeling approach was used to derive 3D pore space models from the SEM images. The resulting microscale pore type models were then used as input in our multiscale Pore Network model to be combined with the macro-scale 3D pore network. The multiscale Pore Network model was used to compute effective rock properties such as porosity, permeability, relative permeability, capillary pressure, and resistivity index. Experimentally measured porosity, permeability and mercury–air primary drainage and oil–water imbibition capillary pressure curves were used to verify the multiscale Pore Network model. Evidently, the micropores and pore throats in the studied samples significantly contribute to flow and electrical properties. Our method captured this multiscale pore effect on rock properties more effectively than traditional PNM workflows.
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