A comparison of classification techniques for seismic facies recognition

T Zhao, V Jayaram, A Roy, KJ Marfurt - Interpretation, 2015 - library.seg.org
During the past decade, the size of 3D seismic data volumes and the number of seismic
attributes have increased to the extent that it is difficult, if not impossible, for interpreters to …

[PDF][PDF] Machine learning methods in geoscience

G Schuster - 2024 - library.seg.org
This book presents the theory of machine learning (ML) algorithms and their applications to
geoscience problems. Geoscience problems include traveltime picking of seismograms by a …

Intelligent velocity picking and uncertainty analysis based on the Gaussian mixture model

X Wang, Y Gao, C Chen, H Yuan, S Yuan - Acta Geophysica, 2022 - Springer
The stacking velocity is often obtained manually. However, manually picking is inefficient
and is easily affected by subjective factors such as the priori information and the experience …

Seismic Facies Analysis Using the Multiattribute SOM‐K‐Means Clustering

Z Zhu, X Chen, H Ren, L Tao, J Jiang… - Computational …, 2022 - Wiley Online Library
An accurate seismic facies analysis (SFA) can provide insight into the subsurface
sedimentary facies and has guiding significance for geological exploration. Many machine …

[PDF][PDF] Examining seismic amplitude responses of gaseous media using unsupervised machine learning

J Chenin - 2020 - mcee.ou.edu
As an energy producer, gas hydrates present not only a drilling hazard for deeper, economic
targets, but also as a potential methane resource by themselves (Field and Barber 1993; …

[PDF][PDF] Probabilistic Seismic Facies: A Gaussian Mixture Model Approach-Canterbury Basin, offshore New Zealand

R Hardisty, BC Wallet - mcee.ou.edu
Visual examination of seismic facies on large 3-D seismic data sets where there is little a
priori geological information can be time consuming and inaccurate. The process can be …

[引用][C] Unsupervised Seismic Data Classification Using Gaussian Mixture Models

A Ariyan Nezhad, M Radad… - Journal of …, 2020 - Research institute of Petroleum …

[引用][C] CARACTERIZACIÓN ESTADÍSTICA UTILIZANDO MODELOS MIXTOS DE GAUSSIANAS EN EL CAMPO DIAMOND M, TX, USA.

DAL Robles - 2015 - Universidad Simón Bolívar