ImageLogViewer: An open-source solution for exploring images from micro-resistivity and ultrasonic boreholes

Borehole image logs are critical for characterizing reservoirs in the petroleum industry. Exploring this data is challenging because image logs are extensive in size and demand multiple measurements to be juxtaposed side-by-side, such as resistivity and acoustic data. Despite its importance, no open-source applications exist to analyze such data. In this demonstration, we present ImageLogViewer, a Python-based tool for visualizing image logs. It can simultaneously display acoustic and dynamic/static micro-resistivity data with multiple display modes and custom windowing to facilitate the analysis of structures, e.g., fractures and cavities. It also integrates image processing, machine, and deep learning models for classifying and segmenting regions of interest.

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Publication Details

Published
2024-10-14
DOI
https://doi.org/10.5753/sbbd_estendido.2024.241021
Primary Topic
Medical Image Segmentation Techniques
Type
article
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article

ImageLogViewer: An open-source solution for exploring images from micro-resistivity and ultrasonic boreholes

Leandro A. F. Fernandes, André M. Souza, Matheus de Almeida Cruz, Roger Honorato Piva et al.
Medical Image Segmentation Techniques
article

ImageLogViewer: An open-source solution for exploring images from micro-resistivity and ultrasonic boreholes

Leandro A. F. Fernandes, André M. Souza, Matheus de Almeida Cruz, Roger Honorato Piva, Paulo Henrique de Lima Siqueira, Elaine Parros Machado de Sousa, Daniel de Oliveira, Marcos Bedo, Rodrigo Dias, Willian Andrighetto Trevizan, Candida Menezes de Jesus, Flávia Bernardini, Priscila da Conceição de Souza Braga, Rodrigo S. Monteiro
article en

Abstract

Borehole image logs are critical for characterizing reservoirs in the petroleum industry. Exploring this data is challenging because image logs are extensive in size and demand multiple measurements to be juxtaposed side-by-side, such as resistivity and acoustic data. Despite its importance, no open-source applications exist to analyze such data. In this demonstration, we present ImageLogViewer, a Python-based tool for visualizing image logs. It can simultaneously display acoustic and dynamic/static micro-resistivity data with multiple display modes and custom windowing to facilitate the analysis of structures, e.g., fractures and cavities. It also integrates image processing, machine, and deep learning models for classifying and segmenting regions of interest.

Universidade Federal Fluminense (BR), Universidade de São Paulo (BR), Petrobras (Brazil) (BR), Hospital Universitário da Universidade de São Paulo (BR)
Industry, innovation and infrastructure
Openalex Percentile: Top 83%
Medical Image Segmentation Techniques
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