AI/Machine Learning Techniques Quantify AVA Seismic Analysis ...

ProAVA uses Monte Carlo techniques and Bayesian probability theory to estimate the probabilities of there being oil, natural gas, or just salt water in the ...

Digital Transformation For Energy - Enthought, Inc.

Enthought's Subsurface AI Seismic brings this to life. With as few as three interpreted seismic lines, the pattern recognition-based deep learning models enable ...

AVA classification as an unsupervised machine-learning problem

Abstract. Much of AVA analysis relies on characterizing background trends and anomalies in pre-stack seismic data. Analysts reduce a seismic section into a ...

(PDF) Intelligent AVA Inversion Using a Convolution Neural Network ...

Recently, deep learning has been introduced into the AVA inversion by building a complicated nonlinear relation between seismic data and elastic ...

AVA inversion of pre-stack seismic data with cross-gradient constraints

The ill-posed feature is one basic attribute of geophysical inversion methods. As an example of geophysical inverse problem, AVA (Amplitude variation with ...

The Holy Grail of Machine Learning in Seismic Interpretation

However, when considering machine learning, the method of analysis is fundamentally different. We have one seismic sample and associated with that sample we ...

AVA classification as an unsupervised machine-learning problem

Much of AVA analysis relies on characterizing background trends and anomalies in pre-stack seismic data. Analysts reduce a seismic section into a small number ...

The role of artificial intelligence and IoT in prediction of earthquakes

(2014) thoroughly examined artificial intelligence techniques used for earthquake prediction analysis. They engaged in a discourse regarding various earthquake ...

Seismic Data Classification Using Machine Learning - ResearchGate

Machine learning techniques can be used to analyze continuous time series data to detect earthquakes effectively. Furthermore, the earthquake ...

SAI: Seismology and Artificial Intelligence - FIAS

The implementation of artificial intelligence (AI) based on deep learning algorithms for earthquake analysis and prediction has outstanding potential.

Deep learning for seismic data processing and interpretation

We also discussed some of the challenges associated with the use of artificial intelligence–based algorithms to analyse seismic data.

Seismic Attribute Analysis Benefits from Unsupervised Neural Network

In terms of seismic data, for example, a segment of a seismic survey at each logged well is employed to calibrate the SNN. Supervised neural networks unite the ...

Seismic AVO Attributes and Machine Learning Techniques ...

Leverage seismic AVO attributes + Industrial AI to characterize carbonate reservoirs. Clustering techniques can enhance exploration + production decisions.

Machine Learning in 4D Seismic Data Analysis - GitHub Pages

During familiarization with the data, a new method to delineate chalk sediment in back-scatter scanning electron microscopy is introduced.

Machine learning for Seismic Data Analysis | PPT - SlideShare

The recent success of machine learning in voice identification, computer vision, image analysis, and a plethora of other applications inspires ...

Machine-learning based technique for lithology and fluid content ...

Inspired by image analysis techniques, seismic texture analysis has proved to be useful for reservoir prediction and characterization for decades (Keskes et ...

Recent advances in earthquake seismology using machine learning

Here, we review the recent advances, focusing on catalog development, seismicity analysis, ground-motion prediction, and crustal deformation analysis.

Petrophysical Property Prediction from Seismic Inversion Attributes ...

seismic data with rock physics modeling and machine-learning techniques (i.e., deep learning neural networks). First, we compare the sequential prediction ...

Leveraging AI, ML and NLP for Earthquake Prediction - LinkedIn

Traditional methods of seismic data analysis rely on manual interpretation by experts or on simple statistical models. However, machine learning ...

3 AI applications for Seismic Data Processing - YouTube

In this video, we're going over 3 Deep Learning applications for Seismic Data Processing: First Break Picking, Image Denoising, ...