Mr. Ricardo Luis Ohta Profile

Ricardo Luis Ohta

Researcher - Industrial Technology and Science at IBM Research - Brazil

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Author

Publications (7)

Proceedings Article | 6 March 2023 Presentation + Paper

Modeling carbon dioxide trapping at microscopic pore scale with digital rock representations

Jaione Tirapu-Azpiroz, Rodrigo Neumann Barros Ferreira, Ronaldo Giro, Marcio Nogueira Pereira da Silva, Matheus Esteves Ferreira, Mariana Del Grande, Manuela Fernandes Blanco Rodriguez, Ricardo Luis Ohta, David Alejandro Lazo Vasquez, Ademir Ferreira da Silva, Benjamin Wunsch, Mathias Steiner

Proceedings Volume 12374, 1237406 (2023) https://doi.org/10.1117/12.2650243

KEYWORDS: Capillaries, Simulations, Porosity, Interfaces, Voxels, Carbon monoxide, Permeability, Microfluidics, Matrices, Image segmentation

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Proceedings Article | 2 March 2022 Presentation + Paper

Advanced optical on-chip analysis of fluid flow for applications in carbon dioxide trapping

Jaione Tirapu-Azpiroz, Matheus Esteves Ferreira, Ademir Ferreira Silva, Ricardo Luis Ohta, Rodrigo Neumann Barros Ferreira, Ronaldo Giro, Benjamin Wunsch, Mathias Steiner

Proceedings Volume 11955, 1195507 (2022) https://doi.org/10.1117/12.2610336

KEYWORDS: Microfluidics, Carbonates, Raman spectroscopy, Capillaries, Calcium, 3D modeling, Silicon, Image filtering

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Carbon dioxide capture and storage into underground geological formations is a promising route to reduce emissions into the atmosphere and limit global warming. Geo-sequestration involves the injection of carbon laden solutions directly into the pore space in sedimentary rocks, saline formations, or abandoned oil fields. More scientific research is still needed to understand how the pore structure and material properties of the rock matrix influence the extent to which pressurized fluids can be injected and permeate the pore network. Our research focuses on studying the fundamental mechanics of pore infiltration at micro- and nanoscopic scales to develop a comprehensive model of carbon dioxide sequestration within geological pore networks. We are using single and two-phase flow simulations of fluid injection into the rock pore space, modeled as a network of capillaries representing the geometry extracted from high-resolution X-ray microtomography of suitable rocks. To experimentally validate the simulation results, we have developed a Si/SiO2 lab-on-chip platform for testing porosity models on well-defined geometries at the microscale. The single and multiphase flow measurements performed on the microfluidic chip are monitored with optical microscopy in real time. In this contribution, we will report the progress in our research and development of optical imaging techniques applied to the microfluidic chip. Specifically, we demonstrate how advanced image analysis can be used to extract information about the flow properties. The image analysis results are critical for calibrating high-accuracy flow simulation models for pore scale injection and mineralization of carbon dioxide. The rock-on-chip platform is used also to measure chemical and physical processes governing the carbonate precipitation step of CO2 mineralization. The reaction of CO2 in the microfluidic channels can be detected through crystal formation over time. Fluorescence microscopy and Raman-spectroscopy is used to monitor carbonate precipitation rates directly on chip, to map minerals and track reaction kinetics under different conditions.

Proceedings Article | 5 March 2021 Presentation + Paper

Illumination compensation algorithm for colorimetric detection of microfluidic paper-based devices with a smartphone

Matheus Esteves Ferreira, Jaione Tirapu-Azpiroz, Daniel Vitor Lopes Marcondes Marçal, Ademir Ferreira da Silva, Ricardo Luis Ohta, Mathias Steiner

Proceedings Volume 11651, 1165108 (2021) https://doi.org/10.1117/12.2578441

KEYWORDS: Microfluidics, Detection and tracking algorithms, RGB color model, Light sources and illumination, Chemical analysis, Cameras

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Proceedings Article | 5 March 2021 Presentation + Paper

High-resolution colorimetric detection on paper-based microfluidic devices via indicator merging and machine learning

Jaione Tirapu-Azpiroz, Matheus Esteves Ferreira, Daniel Vitor Lopes Marcondes Marçal, Ademir Ferreira Silva, Ricardo Luis Ohta, Mathias B. Steiner

Proceedings Volume 11637, 116370D (2021) https://doi.org/10.1117/12.2577303

KEYWORDS: Data modeling, RGB color model, Microfluidics, Machine learning, Chemical analysis, Cameras, Image analysis, Environmental sensing, Cell phones, Biological and chemical sensing

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Proceedings Article | 4 March 2019 Presentation + Paper

Dual dielectrophoresis controller and fluorescence analysis platform for capillary-driven microfluidics on a portable device

Ricardo Luis Ohta, André de Oliveira Botelho, Jaione Tirapu-Azpiroz, Claudius Feger, Mathias Bernhard Steiner

Proceedings Volume 10875, 108750J (2019) https://doi.org/10.1117/12.2508440

KEYWORDS: Luminescence, Microfluidics, Dielectrophoresis, Signal detection, Clouds, Signal processing, Prototyping, Fluorescence spectroscopy, Data storage

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SPIE Journal Paper | 5 June 2018

Modeling fluid transport in two-dimensional paper networks

Jaione Tirapu-Azpiroz, Ademir Ferreira Silva, Matheus Esteves Ferreira, William Fernando Lopez Candela, Peter William Bryant, Ricardo Luis Ohta, Michael Engel, Mathias Bernhard Steiner

JM3, Vol. 17, Issue 02, 025003, (June 2018) https://doi.org/10.1117/12.10.1117/1.JMM.17.2.025003

KEYWORDS: Liquids, Microfluidics, Capillaries, Fluid dynamics, Data modeling, Computational fluid dynamics, Image segmentation, Control systems, Instrument modeling, Water

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Proceedings Article | 19 February 2018 Presentation + Paper

Modeling fluid transport in 2d paper networks

Jaione Tirapu Azpiroz, Ademir Fereira Silva, Matheus Esteves Ferreira, William Fernando Lopez Candela, Peter William Bryant, Ricardo Luis Ohta, Michael Engel, Mathias Bernhard Steiner

Proceedings Volume 10491, 1049105 (2018) https://doi.org/10.1117/12.2287987

KEYWORDS: Liquids, Microfluidics, Capillaries, Fluid dynamics, Data modeling, Computational fluid dynamics, Control systems, Instrument modeling, Water, Image segmentation

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Showing 5 of 7 publications

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