Automated active learning for seismic facies classification

Haibin Di, Leigh Truelove, Aria Abubakar

International Meeting for Applied Geoscience and Energy (IMAGE)

... of facies identification is clearly demonstrated. Conclusions This work proposes improving machine learning-based seismic facies classification...

Abstract: Can Machine Learning Help Predict Channel Stacking Patterns in Deep-Water Systems?;

Noah Francis Vento, Lisa Stright, Stephen Hubbard, Brian Romans

Search and Discovery.com

... overall more successful for classifying channel body position than the unsupervised learning algorithms for both facies models. The classification...

What samples must seismic interpreters label for efficient machine learning?

Ryan Benkert, Mohit Prabhushankar, Ghassan AlRegib

International Meeting for Applied Geoscience and Energy (IMAGE)

..., 2019a, A machine-learning benchmark for facies classification: Interpretation, 7, no. 3, SE175–SE187, doi: https://doi.org/10.1190/INT-2018-0249.1...

The Power of Predictive Analytics in Oil Field Development: Integrating Machine Learning with Reservoir Hydrocarbon Data to Enable Enhanced Oil Recovery of Hugin Formation within the Theta Vest Structure

Lilik T. Hardanto, Fenny Chrisman

Indonesian Petroleum Association

...-lapse/4D seismic data to perform facies classification instead of conventional approaches. Machine learning can enhance the efficiency of Enhanced Oil...

Abstract: Deep Learning Seismic Inversion for Reservoir Facies- Data Driven Workflow; #91204 (2023)

Bilal Saeed Syed, Samiran Roy

Search and Discovery.com

...Abstract: Deep Learning Seismic Inversion for Reservoir Facies- Data Driven Workflow; #91204 (2023) Bilal Saeed Syed, Samiran Roy Deep Learning...

Machine learning in reservoir characterization: Coupling data resolution-enhancement with hierarchical analysis of 3D seismic attributes for seismic facies classification

Papa A. Owusu, Abdelmoneam Raef

International Meeting for Applied Geoscience and Energy (IMAGE)

... facies classification Papa A. Owusu, Abdelmoneam Raef Machine learning in reservoir characterization: coupling data resolution-enhancement...

Breakthrough Business Opportunities in the Oil Industry for YPs and Small TeamŽ Geoscientists; #70325 (2018)

Susan Nash

Search and Discovery.com

... to performance history / history matching Probabilistic Rock Type Classification (Paradigm) • Generate probabilistic facies volumes calibrated...

Introduction to Special Issue: Geoscience Data Analytics and Machine Learning

Michael J. Pyrcz

AAPG Bulletin

...Introduction to Special Issue: Geoscience Data Analytics and Machine Learning Michael J. Pyrcz 2022 2145 2148 106 11 MOTIVATION FOR THIS SPECIAL...

Abstract: Integrating Petrophysics, Seismic Attributes, and Machine Learning for Shale Facies Identification and Prediction;

Justin Palmer, Lisa Goggin, Adam Halpert, Christopher Skelt, Laura Bandura, Huafeng Liu

Search and Discovery.com

...Abstract: Integrating Petrophysics, Seismic Attributes, and Machine Learning for Shale Facies Identification and Prediction; Justin Palmer, Lisa...

AI to Improve the Reliability and Reproducibility of Descriptive Data: A Case Study Using Convolutional Neural Networks to Recognize Carbonate Facies in Cores

Search and Discovery.com

Comparative Algorithm Machine Learning Approaches for Predictive Analysis of Well Log Data: A Case Study in the Central Sumatra Basin

Nungga Saputra, Hafid Rizki Nur Rohman, Puspa Alifya, Patria Ufaira Aprina

Indonesian Petroleum Association

...., 2022, Well-Logging-Based Lithology Classification Using Machine Learning Methods for High-Quality Reservoirs Identification: A Case Study...

Inversion Case Studies From the SCOOP and STACK Areas in the Anadarko Basin

Search and Discovery.com

Leveraging Unsupervised Machine Learning on Seismic Images of Miocene Deposits in the Carpathian Foredeep Basin for Facies Classification

Reva Wiratama, Fikrah Elhifzi Harahap, Imoleayo Fashagba, Kamil Cichostępski

Indonesian Petroleum Association

...Leveraging Unsupervised Machine Learning on Seismic Images of Miocene Deposits in the Carpathian Foredeep Basin for Facies Classification Reva...

LithoBot: An AutoML approach to identify lithofacies

Mayur Nawal, Santosh Kumar, Bharath Shekar

International Meeting for Applied Geoscience and Energy (IMAGE)

... to create similar end-to-end solutions for problems in seismic, well-logging and interpretation domains. significant interest in using machine learning...

Using F-score and supervised-mode machine learning algorithms for pore structure prediction from well logs in the Eocene sandstones, Bohai Oilfield, China

Zongbin Liu, Yan Lu, Yang Zheng, Xiaolin Zhu, Xin Zhou

International Meeting for Applied Geoscience and Energy (IMAGE)

...Using F-score and supervised-mode machine learning algorithms for pore structure prediction from well logs in the Eocene sandstones, Bohai Oilfield...

Sweet Infill Well Locations Prediction Using Multiple Supervised and Unsupervised Machine Learning Models

Mochammad Naufal Septifiandi, Ferdiansyah Rahman, Muhammad Husni Mubarak Lubis

Indonesian Petroleum Association

...Sweet Infill Well Locations Prediction Using Multiple Supervised and Unsupervised Machine Learning Models Mochammad Naufal Septifiandi, Ferdiansyah...

Unsupervised Machine Learning Applications for Seismic Facies Classification

Satinder Chopra, Kurt J. Marfurt

Unconventional Resources Technology Conference (URTEC)

...Unsupervised Machine Learning Applications for Seismic Facies Classification Satinder Chopra, Kurt J. Marfurt URTeC: 557 Unsupervised Machine...

Identifying geologic facies through seismic dataset-to-dataset transfer learning using convolutional neural networks

Joseph Stitt, Adam Shugar, Rachael Wang

International Meeting for Applied Geoscience and Energy (IMAGE)

... Geophysicists and the American Association of Petroleum Geologists REFERENCES Alaudah, Y., A machine learning benchmark for facies classification: F3...

Application of vector plots, LIME, and SHAP for seismic facies machine learning evaluation

Heather Bedle, David Lubo-Robles

International Meeting for Applied Geoscience and Energy (IMAGE)

...Application of vector plots, LIME, and SHAP for seismic facies machine learning evaluation Heather Bedle, David Lubo-Robles Application of vector...

The Machine Learning's Classification Methods Comparison to Estimate Electrofacies Type, Lithology and Hydrocarbon Fluids from Geophysical Well Log Data

Dimas Andreas Panggabean, Jihan Hardiyanti Arief, Lucky Kriski Muhtar, MN Alamsyah

Indonesian Petroleum Association

...The Machine Learning's Classification Methods Comparison to Estimate Electrofacies Type, Lithology and Hydrocarbon Fluids from Geophysical Well Log...

An Innovative and Simple Approach to Spatially Evaluate a Proxy for Stress Shadow Effect of Unconventional Reservoir Completion Activity

Shane J. Prochnow, Alena Grechishnikova, Paymon Hossaini, Mohamed Ibrahim, Sandra Saldana

Unconventional Resources Technology Conference (URTEC)

... investigated the impact of completion parameters on the production performance of the wells in the Eagle Ford Shale by using machine learning models. Kong...

Explainable machine learning for hydrocarbon prospect risking

Ahmad Mustafa, Ghassan AlRegib

International Meeting for Applied Geoscience and Energy (IMAGE)

.../10.1190/geo2018-0028.1. Alaudah, Y., P. Michalowicz, M. Alfarraj, and G. AlRegib, 2019b, A machine-learning benchmark for facies classification...

Machine-Learning Augmentation for 3D Seismic Fault Interpretation to Resolve Complex Strike-Slip Indenter Tectonics Structural Style: Impact to Field Development and Exploration in Banggai-Sula Basin

Krishna Pratama Laya, Fakhriar Naufaldi, Atha Khawarizmy, Wahyudin Suwarlan, Iswani Waryono

Indonesian Petroleum Association

... efforts in the Banggai-Sula Basin, an Automated Fault Detection workflow using 3D seismic machine-learning software was implemented. The software...

Improving fault resolution from multiple angle stacks by latent feature analysis with deep learning

Fan Jiang, Konstantin Osypov

International Meeting for Applied Geoscience and Energy (IMAGE)

... be used to train any machine learning model. Metrics can be assessed using a weighting system, and the predictions can be combined to produce a final...

Abstract: Machine Learning and Deep Learning in Oil and Gas Industry: A Review Ofapplications, Opportunities and Challenges; #91204 (2023)

Tejas Balasaheb Sabale, Syed Aaquib Hussain, Mohd Zuhair, Mohammad Saud Afzal, Arnab Ghosh

Search and Discovery.com

..., “Supervised machine learning for lithology estimation using spectral induced polarization data,” 2018 SEG Int. Expo. Annu. Meet. SEG 2018, pp. 1898–1902...