A Workflow for Interpretation of Fracture Characteristics Based on Digital Outcrop Models: A Case Study on Ebian XianFeng Profile in Sichuan Basin
Collecting information about fracture attributes through outcrops measurement is crucial for analyzing the scale, distribution, orientation, and spatial arrangement of fractures. The emergence of digital outcrop models (DOMs) provides a new technology for quantitative interpretation of fractures. Ho...
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Language: | English |
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GeoScienceWorld
2023-10-01
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Series: | Lithosphere |
Online Access: | https://pubs.geoscienceworld.org/gsa/lithosphere/article-pdf/doi/10.2113/2022/7456300/6001707/7456300.pdf |
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author | Bo Liang Yuangang Liu Zhexian Su Naidan Zhang Shaohua Li Wenjie Feng |
author_facet | Bo Liang Yuangang Liu Zhexian Su Naidan Zhang Shaohua Li Wenjie Feng |
author_sort | Bo Liang |
collection | DOAJ |
description | Collecting information about fracture attributes through outcrops measurement is crucial for analyzing the scale, distribution, orientation, and spatial arrangement of fractures. The emergence of digital outcrop models (DOMs) provides a new technology for quantitative interpretation of fractures. However, large-scale DOMs pose additional challenges to the practical application, particularly in the interpretation of geological elements (e.g. fractures). This research proposes a workflow for fracture characteristics interpretation based on DOMs. First, DOMs are generated using light detection and ranging scanning technology. Then, a 3D visualization platform is developed based on OpenSceneGraph. We use level-of-detail technology to reconstruct DOMs for multiscale fast visualization of large-scale models. Finally, in order to realize the quantitative interpretation of fractures, we propose the best-plane fitting and the feature information (orientation, length, spacing, etc.) extraction methods for two types of fractures (exposed fracture walls and fracture traces). The proposed methods are applied to extract attributes of fractures in Dengying Formation (second member), Ebian, Xianfeng, southwest Sichuan Basin, China. The results provide the basis for reservoir evaluation in this area. |
first_indexed | 2024-03-08T22:23:02Z |
format | Article |
id | doaj.art-e9047b10f9ab4d41bca134418ce8946c |
institution | Directory Open Access Journal |
issn | 1941-8264 1947-4253 |
language | English |
last_indexed | 2024-03-08T22:23:02Z |
publishDate | 2023-10-01 |
publisher | GeoScienceWorld |
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series | Lithosphere |
spelling | doaj.art-e9047b10f9ab4d41bca134418ce8946c2023-12-18T12:14:22ZengGeoScienceWorldLithosphere1941-82641947-42532023-10-012022Special 1310.2113/2022/7456300A Workflow for Interpretation of Fracture Characteristics Based on Digital Outcrop Models: A Case Study on Ebian XianFeng Profile in Sichuan BasinBo Liang0https://orcid.org/0000-0002-0222-1558Yuangang Liu1https://orcid.org/0000-0002-6704-0213Zhexian Su2Naidan Zhang3Shaohua Li4https://orcid.org/0000-0002-0223-0796Wenjie Feng5School of Geosciences, Yangtze University, Hubei Wuhan 430100, ChinaSchool of Geosciences, Yangtze University, Hubei Wuhan 430100, ChinaSchool of Geosciences, Yangtze University, Hubei Wuhan 430100, ChinaSchool of Geosciences, Yangtze University, Hubei Wuhan 430100, ChinaSchool of Geosciences, Yangtze University, Hubei Wuhan 430100, ChinaSchool of Geosciences, Yangtze University, Hubei Wuhan 430100, ChinaCollecting information about fracture attributes through outcrops measurement is crucial for analyzing the scale, distribution, orientation, and spatial arrangement of fractures. The emergence of digital outcrop models (DOMs) provides a new technology for quantitative interpretation of fractures. However, large-scale DOMs pose additional challenges to the practical application, particularly in the interpretation of geological elements (e.g. fractures). This research proposes a workflow for fracture characteristics interpretation based on DOMs. First, DOMs are generated using light detection and ranging scanning technology. Then, a 3D visualization platform is developed based on OpenSceneGraph. We use level-of-detail technology to reconstruct DOMs for multiscale fast visualization of large-scale models. Finally, in order to realize the quantitative interpretation of fractures, we propose the best-plane fitting and the feature information (orientation, length, spacing, etc.) extraction methods for two types of fractures (exposed fracture walls and fracture traces). The proposed methods are applied to extract attributes of fractures in Dengying Formation (second member), Ebian, Xianfeng, southwest Sichuan Basin, China. The results provide the basis for reservoir evaluation in this area.https://pubs.geoscienceworld.org/gsa/lithosphere/article-pdf/doi/10.2113/2022/7456300/6001707/7456300.pdf |
spellingShingle | Bo Liang Yuangang Liu Zhexian Su Naidan Zhang Shaohua Li Wenjie Feng A Workflow for Interpretation of Fracture Characteristics Based on Digital Outcrop Models: A Case Study on Ebian XianFeng Profile in Sichuan Basin Lithosphere |
title | A Workflow for Interpretation of Fracture Characteristics Based on Digital Outcrop Models: A Case Study on Ebian XianFeng Profile in Sichuan Basin |
title_full | A Workflow for Interpretation of Fracture Characteristics Based on Digital Outcrop Models: A Case Study on Ebian XianFeng Profile in Sichuan Basin |
title_fullStr | A Workflow for Interpretation of Fracture Characteristics Based on Digital Outcrop Models: A Case Study on Ebian XianFeng Profile in Sichuan Basin |
title_full_unstemmed | A Workflow for Interpretation of Fracture Characteristics Based on Digital Outcrop Models: A Case Study on Ebian XianFeng Profile in Sichuan Basin |
title_short | A Workflow for Interpretation of Fracture Characteristics Based on Digital Outcrop Models: A Case Study on Ebian XianFeng Profile in Sichuan Basin |
title_sort | workflow for interpretation of fracture characteristics based on digital outcrop models a case study on ebian xianfeng profile in sichuan basin |
url | https://pubs.geoscienceworld.org/gsa/lithosphere/article-pdf/doi/10.2113/2022/7456300/6001707/7456300.pdf |
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