An introduction to the geophysical problem of first-break picking. I take into account a variety of picking options, including manual, analytical, and machine learning-based picking. Mention the available open-source tools as well.

📓 Resources:
Manual - https://github.com/keurfonluu/AIPycker
Analytical - https://github.com/jwellik/STALTA_tuner https://github.com/uqzzhao/EventPick
ML-Based - https://github.com/DaloroAT/first_break_picking https://github.com/mmezyk/fbpicker

San-Yi Yuan et al., SegNet-based first-break picking via seismic waveform classification directly from shot gathers with sparsely distributed traces - https://www.sciencedirect.com/science/article/pii/S1995822621001059
Mohammed Ayub et al., A Comparative Analysis of Machine Learning Models for First-break Arrival Picking - https://thesai.org/Publications/ViewPaper?Volume=12&Issue=1&Code=IJACSA&SerialNo=57
Nikita, Advancing the First Break Picking with Neural Networks - https://medium.com/data-analysis-center/advancing-the-first-break-picking-with-neural-networks-4d7ea2ea7c2

TIMECODE
00:00 Introduction
01:41 Manual Picking
02:09 Open-source for Manual Picking
02:20 Analytical Picking
03:40 Open-source for Analytical Picking
04:00 Machine Learning Picking
06:25 Open-source for Machine Learning Picking


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I am Chief Technical Officer at a software company that develops AI/ML solutions for the Oil and Gas sector. I am passionate about AI and its application in Oil and Gas. For many years, I have been developing and launching solutions based on AI for various aspects of geoscience and petroleum engineering. I make videos about Deep Learning and Machine Learning applications within Oil and Gas.

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