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Proceedings Papers

Looking for Producible Fractures on Different Scales

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Fernando Gomes de Mello e Silva, Antonio Persio Silvestre, Alexandre Kolisnyk, Vanessa Madrucci
Paper presented at the SPWLA 65th Annual Logging Symposium, May 18–22, 2024
Paper Number: SPWLA-2024-0032
https://doi.org/10.30632/SPWLA-2024-0032
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Proceedings Papers

A Machine Learning Approach to Predict and Characterize Evaporites for H 2 Storage in Salt Cavities

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Perrine Baron, Emmanuel Caroli, Sabine Delahaye, Alexandre Pichat
Paper presented at the SPWLA 65th Annual Logging Symposium, May 18–22, 2024
Paper Number: SPWLA-2024-0028
https://doi.org/10.30632/SPWLA-2024-0028
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View Paper titled, A Machine Learning Approach to Predict and Characterize Evaporites for H 2 Storage in Salt Cavities
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Proceedings Papers

Uncertainty Estimation for Ultradeep Azimuthal Resistivity Measurements Using Machine Learning

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Hui Xie, Pontus Loviken, Gordana Draskovic, Nguyen Thanh Nhan, Keli Sun, Mike Bower, Kent Harms
Paper presented at the SPWLA 65th Annual Logging Symposium, May 18–22, 2024
Paper Number: SPWLA-2024-0024
https://doi.org/10.30632/SPWLA-2024-0024
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View Paper titled, Uncertainty Estimation for Ultradeep Azimuthal Resistivity Measurements Using Machine Learning
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Proceedings Papers

Image Data: The Unexplored Potential for Reservoir Characterization, Brazilian Pre-Salt

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Gilberto Raitz Junior, Théo Farhat, Jeferson Santos, Carolina Ribeiro
Paper presented at the SPWLA 65th Annual Logging Symposium, May 18–22, 2024
Paper Number: SPWLA-2024-0068
https://doi.org/10.30632/SPWLA-2024-0068
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View Paper titled, Image Data: The Unexplored Potential for Reservoir Characterization, Brazilian Pre-Salt
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Proceedings Papers

Real-Time LWD Sonic Processing Enabled by Data Driven Machine Learning

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Lin Liang, Ting Lei, Yixin Wang, Matt Blyth, Michiko Hamada, Naoki Sakiyama
Paper presented at the SPWLA 65th Annual Logging Symposium, May 18–22, 2024
Paper Number: SPWLA-2024-0078
https://doi.org/10.30632/SPWLA-2024-0078
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View Paper titled, Real-Time LWD Sonic Processing Enabled by Data Driven Machine Learning
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Proceedings Papers

Describing the Porosity of Pre-Salt Carbonate Rocks Using Machine Learning

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Gisella Roza Nunes, Gilberto Raitz Junior, Jeferson dos Santos, Leonardo Borghi
Paper presented at the SPWLA 65th Annual Logging Symposium, May 18–22, 2024
Paper Number: SPWLA-2024-0047
https://doi.org/10.30632/SPWLA-2024-0047
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View Paper titled, Describing the Porosity of Pre-Salt Carbonate Rocks Using Machine Learning
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Proceedings Papers

An Automated Workflow to Optimize Parameters for Formation Pressure Measurements Utilizing Memoization

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Pontus Loviken, Yon Blanco, Tianjun Hou
Paper presented at the SPWLA 65th Annual Logging Symposium, May 18–22, 2024
Paper Number: SPWLA-2024-0039
https://doi.org/10.30632/SPWLA-2024-0039
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View Paper titled, An Automated Workflow to Optimize Parameters for Formation Pressure Measurements Utilizing Memoization
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Proceedings Papers

Cascaded Machine Learning in NMR: Unveiling a Continuous Grain Size Distribution Approach for Tackling Sand Production Challenges

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Muhamad Saiful Hakimi Daud, Seyed Mehdi Tabatabai, Fui Kent Wong
Paper presented at the SPWLA 65th Annual Logging Symposium, May 18–22, 2024
Paper Number: SPWLA-2024-0077
https://doi.org/10.30632/SPWLA-2024-0077
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View Paper titled, Cascaded Machine Learning in NMR: Unveiling a Continuous Grain Size Distribution Approach for Tackling Sand Production Challenges
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Proceedings Papers

Assessing the Impact of Image Data on Enhancing Rock Classification and Formation Evaluation

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Pallavi Sahu, Zoya Heidari, Gabriel Feres Nassau, Plinio Cancio Rocha da Silva, Willian Tevizan
Paper presented at the SPWLA 65th Annual Logging Symposium, May 18–22, 2024
Paper Number: SPWLA-2024-0065
https://doi.org/10.30632/SPWLA-2024-0065
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View Paper titled, Assessing the Impact of Image Data on Enhancing Rock Classification and Formation Evaluation
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Proceedings Papers

An Image-Based Artificial Intelligence Approach for the Determination of Analog Petrophysical Rock Properties from Drill Cuttings

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Allen Britton, Katrina Cox, Shouxiang Mark Ma
Paper presented at the SPWLA 65th Annual Logging Symposium, May 18–22, 2024
Paper Number: SPWLA-2024-0086
https://doi.org/10.30632/SPWLA-2024-0086
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View Paper titled, An Image-Based Artificial Intelligence Approach for the Determination of Analog Petrophysical Rock Properties from Drill Cuttings
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Proceedings Papers

Multi-Technique Characterization of Carbonate Lithotypes and Evaluation of the Impact of Fine Grains on Barra Velha Formation Reservoirs, Sepia Field, Santos Basin

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Guilherme Oliveira Ramos dos Santos, Gabriel Sousa dos Santos Ribeiro, Leonardo Ventura, Giovanni Chaves Stael
Paper presented at the SPWLA 65th Annual Logging Symposium, May 18–22, 2024
Paper Number: SPWLA-2024-0079
https://doi.org/10.30632/SPWLA-2024-0079
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View Paper titled, Multi-Technique Characterization of Carbonate Lithotypes and Evaluation of the Impact of Fine Grains on Barra Velha Formation Reservoirs, Sepia Field, Santos Basin
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Proceedings Papers

Pseudo Borehole Images from Outcrop Photographs: Improving Geological Interpretations

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Sofia Alves Fornero, Candida Menezes de Jesus, Pamella Paiva Fernandes, Willian Andrighetto Trevizan
Paper presented at the SPWLA 65th Annual Logging Symposium, May 18–22, 2024
Paper Number: SPWLA-2024-0099
https://doi.org/10.30632/SPWLA-2024-0099
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View Paper titled, Pseudo Borehole Images from Outcrop Photographs: Improving Geological Interpretations
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Proceedings Papers

A Case Study on Building a Structured Logging Database from Brazilian Terrestrial Basins for Enhanced Data Science Applications

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Rodrigo César Teixeira de Gouvêa, Cleyton de Carvalho Carneiro
Paper presented at the SPWLA 65th Annual Logging Symposium, May 18–22, 2024
Paper Number: SPWLA-2024-0100
https://doi.org/10.30632/SPWLA-2024-0100
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View Paper titled, A Case Study on Building a Structured Logging Database from Brazilian Terrestrial Basins for Enhanced Data Science Applications
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Proceedings Papers

Quantitative Evaluation for Fluid Components on 2D NMR Spectrum Using Image Boundary Tracking and Modified GMM Clustering Method

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Jiawei Zhang, Guangzhi Liao, Lizhi Xiao, Sihui Luo
Paper presented at the SPWLA 65th Annual Logging Symposium, May 18–22, 2024
Paper Number: SPWLA-2024-0090
https://doi.org/10.30632/SPWLA-2024-0090
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View Paper titled, Quantitative Evaluation for Fluid Components on 2D NMR Spectrum Using Image Boundary Tracking and Modified GMM Clustering Method
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Proceedings Papers

Synergies Between Laboratory and Digital Rock for Improvement of Digital Rock Models

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Rodrigo Surmas, Marcelo Ramalho Albuquerque
Paper presented at the SPWLA 65th Annual Logging Symposium, May 18–22, 2024
Paper Number: SPWLA-2024-0135
https://doi.org/10.30632/SPWLA-2024-0135
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View Paper titled, Synergies Between Laboratory and Digital Rock for Improvement of Digital Rock Models
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Proceedings Papers

Automated Identification of LRLC Reservoirs Using Machine Learning in South Sumatra Basin, Indonesia

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Aziz Permana, Yan Gustian, Jerry D. Mamesah, Pambudi Suseno, _ Giyatno, _ Djudjuwanto, Pertamina Hulu Rokan, Diah A. Rahmalia, _ Sudarmaji, Sarju Winardi
Paper presented at the SPWLA 65th Annual Logging Symposium, May 18–22, 2024
Paper Number: SPWLA-2024-0131
https://doi.org/10.30632/SPWLA-2024-0131
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View Paper titled, Automated Identification of LRLC Reservoirs Using Machine Learning in South Sumatra Basin, Indonesia
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Proceedings Papers

Reservoir Fluid Properties from Cuttings: An Innovative Synergy of Gel Permeation Chromatography and Data Analytics

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Alexandra Cely, Tao Yang, Eric Michael, Julian Moore
Paper presented at the SPWLA 65th Annual Logging Symposium, May 18–22, 2024
Paper Number: SPWLA-2024-0020
https://doi.org/10.30632/SPWLA-2024-0020
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View Paper titled, Reservoir Fluid Properties from Cuttings: An Innovative Synergy of Gel Permeation Chromatography and Data Analytics
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Proceedings Papers

LiOBIA: Object-Based Cuttings Image Analysis for Automated Lithology Evaluation

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Tetsushi Yamada, Simone Di Santo, Karim Bondabou, Ajeet Prashant, Andrea Di Daniel, Laura Su, Matthias Francois, Khalid Ouaaba, Daniel Lockyer, Romain Prioul
Paper presented at the SPWLA 65th Annual Logging Symposium, May 18–22, 2024
Paper Number: SPWLA-2024-0018
https://doi.org/10.30632/SPWLA-2024-0018
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View Paper titled, LiOBIA: Object-Based Cuttings Image Analysis for Automated Lithology Evaluation
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Proceedings Papers

A New Workflow for Estimating Reservoir Properties with Gradient Boosting Model and Joint Inversion Using MWD Measurements

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Hyungjoo Lee, Alexander Mitkus, Andrew Pare, Kenneth McCarthy, Marc Willerth, Paul Reynerson, Tannor Ziehm, Timothy Gee
Paper presented at the SPWLA 64th Annual Logging Symposium, June 10–14, 2023
Paper Number: SPWLA-2023-0044
https://doi.org/10.30632/SPWLA-2023-0044
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View Paper titled, A New Workflow for Estimating Reservoir Properties with Gradient Boosting Model and Joint Inversion Using MWD Measurements
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Proceedings Papers

Strata-Constrained GWLSTM Network for Logging Lithology Prediction

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Jianjun Li, Haotian Lv, Haining Zhang, Hui Li, Baohai Wu
Paper presented at the SPWLA 64th Annual Logging Symposium, June 10–14, 2023
Paper Number: SPWLA-2023-0076
https://doi.org/10.30632/SPWLA-2023-0076
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View Paper titled, Strata-Constrained GWLSTM Network for Logging Lithology Prediction
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