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The Splendors and Miseries of SEG-Y: an introduction for software developers
The Splendors and Miseries of SEG-Y: an introduction for software developers
SEG-Y format, vital for seismic data processing. It covers the format’s structure, Python tools for managing data, and typical challenges
Alexey Kozhevin
Apr 17
Rock on with LLMs: Comparing GeoModels
Rock on with LLMs: Comparing GeoModels
Find the best model for geo-tasks
Sergey Tsimfer
Mar 5
Rock on with LLMs: Geological Applications
Rock on with LLMs: Geological Applications
The whys and the hows
Sergey Tsimfer
Feb 28
Hands-on the desk with First Break Picking
Hands-on the desk with First Break Picking
As an old adage goes, “If there is something wrong with your stack, check the first breaks”.
Altynanke
Jan 19
Seismic Processing: The Earth-Shattering Truth
Seismic Processing: The Earth-Shattering Truth
A good seismic processing is like a four-leaf clover, hard to find and lucky to have. Everybody involved in oil and gas knows that the…
Altynanke
Oct 23, 2023
Jupyter Notebook: beyond prototyping with NBTools and Research
Jupyter Notebook: beyond prototyping with NBTools and Research
Jupyter Notebook is a very handy and ubiquitous ML prototyping tool. However, at some point you have to perform reproducible multiple…
Alexey Kozhevin
Sep 5, 2023
Making SEG-Y fast
Making SEG-Y fast
A new library for working with the most popular seismic storage
Sergey Tsimfer
May 15, 2023
Convolutions and Self-Attention or There and Back Again
Convolutions and Self-Attention or There and Back Again
It takes courage and decent level of madness to embark on a journey towards details of "who wore it better". Buckle up, it's a nasty trip!
Altynanke
Mar 27, 2023
Automatic lithology description: a history of failure
Automatic lithology description: a history of failure
Tips on "how not to do"! In our opinion, sharing about the “failed” project is none less important than shouting about the successful ones.
Alexey Kozhevin
Jan 27, 2023
Acquisition footprint attenuation
Acquisition footprint attenuation
Fully automated approach using Deep Learning
Antonina Arefina
Oct 11, 2022
Seismic Fault Detection
Seismic Fault Detection
In previous articles, we have covered several tasks of seismic interpretation: horizon detection and facies segmentation. Another important…
Alexey Kozhevin
Jun 22, 2022
A practical approach to speed-up Python code (Numba, NumPy, CuPy)
A practical approach to speed-up Python code (Numba, NumPy, CuPy)
Nowadays, Python is one of the most widespread programming languages. Our team uses it to crunch terabytes of seismic data with neural…
Svetlana
Apr 22, 2022
Solving differential equations using neural networks with PyDEns
Solving differential equations using neural networks with PyDEns
Partial differential equations (PDEs) and ordinary differential equations (ODEs) bother researchers from all domains of applied sciences…
Alexander Koryagin
Jan 14, 2022
SeismicPro: bringing AI solutions to Seismic Processing
SeismicPro: bringing AI solutions to Seismic Processing
Technological breakthroughs and discoveries in the field of ML&DL give an opportunity to optimize and speed up workflows in industries with…
Anton Broilovskiy
Aug 17, 2021
Facies analysis
Facies analysis
How to calculate spectral attributes on seismic data and not fail miserably. Time to learn from insights to achieve best performance!
Stepan Goryachev
Jul 19, 2021
Research: a tool for multiple ML experiments
Research: a tool for multiple ML experiments
The process of working on a data science project can be divided into three main steps:
Alexey Kozhevin
Jul 5, 2021
Advancing the First Break Picking with Neural Networks
Advancing the First Break Picking with Neural Networks
Seismic Processing is no longer driven by outdated solutions, but runs on open source tools enhanced with machine learning
Nikita
Jun 16, 2021
Facies analysis on seismic data
Facies analysis on seismic data
In the last two decades, machine learning is taking over all segments of our life. Just the expertise of a human specialist is not enough…
Stepan Goryachev
Apr 15, 2021
Designing a metric for seismic denoising
Designing a metric for seismic denoising
Formal validation of ML models is sometimes difficult but one cannot do without it
Antonina Arefina
Mar 25, 2021
Sampling for Deep Learning with BatchFlow.Sampler
Sampling for Deep Learning with BatchFlow.Sampler
What is Sampler and why we need it?
Alexander Koryagin
Mar 12, 2021
Making Seismic Interpretation Easy with SeismiQB
Making Seismic Interpretation Easy with SeismiQB
For several years, Oil & Gas industry, just like many others, is trying its hardest to implement machine learning into its workflows. If…
Sergey Tsimfer
Mar 2, 2021
BatchFlow: a framework for ML development
BatchFlow: a framework for ML development
Make your code readable. Easy.
Alexey Kozhevin
Feb 15, 2021
Seismic Horizon Detection with Neural Networks, part 2
Seismic Horizon Detection with Neural Networks, part 2
This is the second part of a cycle, where we continue to demonstrate our horizon detection workflow. Crucial concepts of the task, its…
Sergey Tsimfer
Feb 4, 2021
Seismic Horizon Detection with Neural Networks, part 1
Seismic Horizon Detection with Neural Networks, part 1
In recent years, machine learning and specifically deep learning has captured the attention of all industries, and Oil & Gas is no…
Sergey Tsimfer
Feb 4, 2021
Lies, damned lies, and state-of-the-art
Lies, damned lies, and state-of-the-art
After having analysed over 50 most cited articles of the past 10 years we observed that each year there is at least one report with…
Egor Illarionov
Jun 25, 2018
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