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.
Authors
- Leandro A. F. Fernandes (ORCID: https://orcid.org/0000-0001-8491-793X)
- André M. Souza (ORCID: https://orcid.org/0000-0002-0207-8034)
- Matheus de Almeida Cruz (ORCID: https://orcid.org/0000-0002-9032-9111)
- Roger Honorato Piva (ORCID: https://orcid.org/0000-0002-8960-7321)
- Paulo Henrique de Lima Siqueira (ORCID: https://orcid.org/0000-0001-8204-7846)
- Elaine Parros Machado de Sousa (ORCID: https://orcid.org/0000-0002-8921-5483)
- Daniel de Oliveira (ORCID: https://orcid.org/0000-0001-9346-7651)
- Marcos Bedo (ORCID: https://orcid.org/0000-0003-2198-4670)
- Rodrigo Dias
- Willian Andrighetto Trevizan
- Candida Menezes de Jesus (ORCID: https://orcid.org/0009-0009-1195-3302)
- Flávia Bernardini (ORCID: https://orcid.org/0000-0001-8801-827X)
- Priscila da Conceição de Souza Braga (ORCID: https://orcid.org/0000-0001-5611-7089)
- Rodrigo S. Monteiro (ORCID: https://orcid.org/0009-0001-1202-5585)
Institutions
- Universidade Federal Fluminense (BR)
- Universidade de São Paulo (BR)
- Petrobras (Brazil) (BR)
- Hospital Universitário da Universidade de São Paulo (BR)
Publication Details
- Published
- 2024-10-14
- DOI
- https://doi.org/10.5753/sbbd_estendido.2024.241021
- Primary Topic
- Medical Image Segmentation Techniques
- Type
- article
- Field-Weighted Citation Impact
- 0.00