Ensemble-based machine learning application for lithofacies classification in a pre-salt carbonate reservoir, Santos Basin, Brazil-Reference-Cited by-同舟云学术

Ensemble-based machine learning application for lithofacies classification in a pre-salt carbonate reservoir, Santos Basin, Brazil

Published:2022-11-11 Issue: Volume: Page:1-17
ISSN:1091-6466
Container-title:Petroleum Science and Technology
language:en
Short-container-title:Petroleum Science and Technology

Author:

Babasafari Amir Abbas¹²^ORCID,Campane Vidal Alexandre³^ORCID,Furlan Chinelatto Guilherme¹^ORCID,Rangel Jean¹,Basso Mateus¹

Affiliation:

1. Center for Petroleum Studies, State University of Campinas, Campinas, Sao Paulo, Brazil

2. Delft Inversion, Delft, The Netherlands

3. Geoscience Institute, State University of Campinas, Campinas, Sao Paulo, Brazil

Funder

EPIC – Energy Production Innovation Center

FAPESP – São Paulo Research Foundation

Equinor Brazil

ANP

Publisher

Informa UK Limited

Subject

Geotechnical Engineering and Engineering Geology,Energy Engineering and Power Technology,Fuel Technology,General Chemical Engineering,General Chemistry

Link

https://www.tandfonline.com/doi/pdf/10.1080/10916466.2022.2143813

Reference24 articles.

1. Facies and diagenesis distribution in an Aptian pre-salt carbonate reservoir of the Santos Basin, offshore Brazil: A comprehensive quantitative approach

2. An incomplete correlation between pre-salt topography, top reservoir erosion, and salt deformation in deep-water Santos Basin (SE Brazil)

3. Fault and fracture study by incorporating borehole image logs and supervised neural network applied to the 3D seismic attributes: a case study of pre-salt carbonate reservoir, Santos Basin, Brazil

4. A machine learning approach to facies classification using well logs

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4. Utilizing integrated artificial intelligence for characterizing mineralogy and facies in a pre-salt carbonate reservoir, Santos Basin, Brazil, using cores, wireline logs, and multi-mineral petrophysical evaluation;Geoenergy Science and Engineering;2023-12

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