Porosity and permeability calculations in a Biolithite using x-ray tomography images
Aderemi, Adetomiwa ; Charalampidou, Elli Maria ; Jiang, Zeyun and Tudisco, Erika LU
(2023)
3rd International Meeting for Applied Geoscience and Energy, IMAGE 2023
In SEG Technical Program Expanded Abstracts
2023-August.
p.1700-1704
- Abstract
Engineering energy storage/extraction for geoenergy applications (e.g., geothermal energy extraction, CO2 and/or Hydrogen storage) requires a very good knowledge of subsurface heterogeneities. One of the principal factors that influences the response of the underground system is the continuously evolving pore networks of the targeted rocks. This work aims to understand the pore network of a natural Biolithite (Figure 1), coming from a Greek outcrop, and to predict the permeability of lab-scale systems (due to diagenetic alterations and/or natural deformation) using x-ray computed tomography (CT) images (3D) and stochastic model reconstructions. We emphasize on the importance of a reproducible image analysis workflow (Figure 2) during... (More)
Engineering energy storage/extraction for geoenergy applications (e.g., geothermal energy extraction, CO2 and/or Hydrogen storage) requires a very good knowledge of subsurface heterogeneities. One of the principal factors that influences the response of the underground system is the continuously evolving pore networks of the targeted rocks. This work aims to understand the pore network of a natural Biolithite (Figure 1), coming from a Greek outcrop, and to predict the permeability of lab-scale systems (due to diagenetic alterations and/or natural deformation) using x-ray computed tomography (CT) images (3D) and stochastic model reconstructions. We emphasize on the importance of a reproducible image analysis workflow (Figure 2) during reservoir description, as an input to extracting pore network models that have representative geometrical and topological characteristics at core-plug scale.
(Less)
- author
- Aderemi, Adetomiwa
; Charalampidou, Elli Maria
; Jiang, Zeyun
and Tudisco, Erika
LU
- organization
- publishing date
- 2023-12-14
- type
- Contribution to journal
- publication status
- published
- subject
- in
- SEG Technical Program Expanded Abstracts
- volume
- 2023-August
- pages
- 5 pages
- publisher
- Society of Exploration Geophysicists
- conference name
- 3rd International Meeting for Applied Geoscience and Energy, IMAGE 2023
- conference location
- Houston, United States
- conference dates
- 2023-08-28 - 2023-09-01
- external identifiers
-
- scopus:85180531179
- ISSN
- 1052-3812
- DOI
- 10.1190/image2023-3915923.1
- language
- English
- LU publication?
- yes
- additional info
- Funding Information: Adetomiwa Aderemi gratefully acknowledges the Petroleum Technology Development Fund (PTDF) Nigeria for the funding provided and Heriot-Watt University Institute for Geoenergy Engineering for their invaluable support up till the successful completion of the initial phase of this work. Publisher Copyright: © 2023 Society of Exploration Geophysicists and the American Association of Petroleum Geologists.
- id
- 0bf0375f-6bd8-41a9-82dc-6b6772ee814d
- date added to LUP
- 2024-03-03 12:03:46
- date last changed
- 2024-03-06 12:18:08
@article{0bf0375f-6bd8-41a9-82dc-6b6772ee814d,
abstract = {{<p>Engineering energy storage/extraction for geoenergy applications (e.g., geothermal energy extraction, CO2 and/or Hydrogen storage) requires a very good knowledge of subsurface heterogeneities. One of the principal factors that influences the response of the underground system is the continuously evolving pore networks of the targeted rocks. This work aims to understand the pore network of a natural Biolithite (Figure 1), coming from a Greek outcrop, and to predict the permeability of lab-scale systems (due to diagenetic alterations and/or natural deformation) using x-ray computed tomography (CT) images (3D) and stochastic model reconstructions. We emphasize on the importance of a reproducible image analysis workflow (Figure 2) during reservoir description, as an input to extracting pore network models that have representative geometrical and topological characteristics at core-plug scale.</p>}},
author = {{Aderemi, Adetomiwa and Charalampidou, Elli Maria and Jiang, Zeyun and Tudisco, Erika}},
issn = {{1052-3812}},
language = {{eng}},
month = {{12}},
pages = {{1700--1704}},
publisher = {{Society of Exploration Geophysicists}},
series = {{SEG Technical Program Expanded Abstracts}},
title = {{Porosity and permeability calculations in a Biolithite using x-ray tomography images}},
url = {{http://dx.doi.org/10.1190/image2023-3915923.1}},
doi = {{10.1190/image2023-3915923.1}},
volume = {{2023-August}},
year = {{2023}},
}