04 Research
Publications
Everything the team has published since 2017, newest first — conference papers, journal articles and preprints, from the healthcare-era work through to the subsurface.
Each entry links to the publisher's record and opens in a new tab.
- 2025 Rust-Powered Engine for Accelerated SEG-Y File Slicing ADIPEC (SPE)
- 2025 Predicting mud weight in carbonate formations using seismic data: A data-driven approach Geoenergy Science and Engineering
- 2025 Innovative AI Workflow for Seismic Interpretation GOTECH
- 2025 Applied Generative AI and Deep Learning Techniques to Optimize and Automate Geophysical Workflows IPTC
- 2025 Streamlining Evaluation of Agentic and RAG Systems in Geoscience GenAI: a Comprehensive Approach Fifth EAGE Digitalization Conference & Exhibition
- 2024 Advancing Geoscience with Multi-Modal AI: A Comprehensive Copilot ADIPEC
- 2024 Advanced LLM Applications in Oil & Gas: Cross-Domain Implementations 85th EAGE Annual Conference & Exhibition
- 2024 Applied Generative AI and Deep Learning Techniques to Optimize\Automate Strategic Geophysical Workflows and Insights Generation Fourth EAGE Digitalization Conference & Exhibition
- 2024 Improve Geoscience Interpretation, Reporting, and Transparency with Generative AI Fourth EAGE Digitalization Conference & Exhibition
- 2023 Automatic Acquisition Footprint Attenuation: Deep Learning Approach 84th EAGE Annual Conference & Exhibition
- 2021 Using machine learning to detect horizons, alluvial fans and fluvial channels, as well as vertical faults First Break (Vol. 39, pp. 51–56)
- 2020 Metric for evaluating difference between seismic gathers Data Science in Oil & Gas (EAGE)
- 2020 An Automatic Algorithm for Core-To-Log Matching First EAGE Digitalization Conference and Exhibition
- 2020 An Attention-Based CNN for ECG Classification Advances in Computer Vision (CVC 2019) / Advances in Intelligent Systems and Computing
- 2020 SeismiQB – a novel framework for deep learning with seismic data Preprint / 82nd EAGE Annual Conference & Exhibition
- 2020 Seismic horizon detection with neural networks Preprint
- 2019 PyDEns: a Python Framework for Solving Differential Equations with Neural Networks Preprint
- 2018 Not quite unreasonable effectiveness of machine learning algorithms Article
- 2018 Benchmarks of ResNet Architecture for Atrial Fibrillation Classification Preprint
- 2018 A Simple Probabilistic Model for Uncertainty Estimation Preprint
- 2018 Clearing noisy annotations for computed tomography imaging Fifth International Conference on Social Networks Analysis, Management and Security (SNAMS)
- 2017 BatchFlow library for fast ML workflows Article