Machine learning for seismic processing

Some Machine Learning Applications in Seismic Interpretation

AAPG EXPLORER is a monthly petroleum geology publication that covers the entire span of energy interest, with emphasis on exploration and ...

Distributed Sensing and Machine Learning Hone Seismic Listening

Fiber-optic cables can provide a wealth of detailed data on subsurface vibrations from a wide range of sources. Machine learning offers a means to make sense ...

A Self-Supervised Deep Learning Method for Seismic Data ...

The simultaneous-source technology for high-density seismic acquisition is a key solution to efficient seismic surveying. It is a cost-effective method when ...

Free Workshop - Mastering Seismic Data with Machine Learning

This workshop is tailored for professionals, researchers, and enthusiasts passionate about leveraging machine learning to revolutionize seismic ...

Machine Learning Seismic Wave Discrimination: Application to ...

We train machine learning algorithms with a large data set to discriminate earthquake P waves from local impulsive noise The trained ...

Seismic data processing using artificial neural networks | Geophysics

More specifically using deep neural networks to find new ways of processing seismic data, and hopefully improve the processing results. Deep ...

Machine Learning in Energy: A Hot Spot in Seismic Processing

New technologies in machine learning and more enable the discovery and understanding of where energy deposits are located with more accuracy ...

Deep Learning Approach for Processing Fiber-Optic DAS Seismic ...

Developing automatic algorithmic tools for targets' detection and classification in a fiber-optic Distributed Acoustic Sensing (DAS) system is a challenging ...

Combining machine learning and a knowledge base for seismic ...

It is composed of a toolset that may have a significant impact on the seismic interpretation process, speeding up data annotation for ...

AI for seismic data - Norsk Regnesentral - NR

Deep learning for seismic data ... We are developing advanced tools geologists can generate interpretations much faster than before, while also achieving more ...

Machine Learning Workflows - Seismic Inversion using AI

This enables us to tune model parameters and to gain confidence in model predictions. When satisfied, we train on all 4 wells and apply the ...

Machine learning picks out hidden vibrations from earthquake data

An MIT machine-learning technique picks out hidden vibrations from earthquake data, which may help scientists more accurately map vast ...

What can machine learning do for seismic data processing? An ...

The ML method facilitates intelligent interpolation between data sets with similar geomorphological structures, which can significantly reduce ...

Data-driven and machine learning approaches for suppression of ...

For most seismic imaging algorithms, multiples are considered noise since they shadow the useful information about the subsurface, and they need to be removed ...

Machine learning meets seismic interpretation - Agile Scientific

Machine learning isn't just useful for computing in the inverse direction such as with inversion, seismic interpretation, and so on. Johannes ...

Transfer Learning in Automatic Seismic Interpretation

dnns are notorious for needing large numbers of diverse annotated samples. That is often prohibitive to geoscience applications of machine learning, where data ...

Deep Learning Can Predict Laboratory Quakes From Active Source ...

Here, we use data from lab friction experiments that include continuous measurement of elastic waves traversing the fault and build data-driven ...

Machine Learning Techniques for Seismic Data Analysis and ...

The current seismic data processing pipeline is surprisingly human-dependent. With the rapid increase of seismic-sensor data availability, ...

Deep-learning delivers exciting data-processing developments.

Recently, the use of machine learning has been gaining traction in the data ... deep-learning algorithms to address various seismic processing ...

Shell Uses Bluware Interactive Deep Learning for Seismic ...

Stream subsurface data from the cloud or on-prem to your existing interpretation applications. Rapidly visualize large data volumes and run your applications ...