As an example of multiparameter atomic sensor, the vector magnetometer undergoes intense investigations for it provides more complete information than its scalar counterpart and has applications in biosciences, geophysics etc. To attain the magnetic field’s orientation, the sensor needs to incorporate ce...
Regarding geoscience, the review has a bias towards geophysics but aims to strike a balance with geochemistry, geostatistics, and geology, however excludes remote sensing, as this would exceed the scope. In general, I aim to provide context for the recent enthusiasm surrounding deep learning with ...
Key Points: Open‐source Python framework for machine learning applications in geochemistryAutomated pipeline for tabular dataQuestion‐and‐answer format obviates the need for coding experienceZhangZhou, J.He, CanSun, JianhaoZhao, JianmingLyu, Yang...
This study aims to apply different machine learning tools to predict the formation permeability in a real-time using readily available drilling parameters. The dataset used in this study was gathered from two vertical wells located in the Middle East. It encompasses a variety of drilling parameters...
Ground Penetrating Radar (GPR) is a geophysical method increasingly used in numerous shallow applications.#13; Unfortunately, electronic or acquisition pro... L Nuzzo - 《Annals of Geophysics》 被引量: 26发表: 2003年 Fast dictionary learning for noise attenuation of multidimensional seismic data The...
Recent advances in machine learning can be attributed to the increase in computer power and the adoption of deep-learning methods21. In geophysics, machine learning has been long established22,23, however, a suite of recent applications has appeared in the literature. These include seismic ...
Di H, Gao D (2016) Improved estimates of seismic curvature and flexure based on 3D surface rotation in the presence of structure dip. Geophysics. https://doi.org/10.1190/GEO2015-0258.1 Article Google Scholar Di H, Wang Z, AlRegib G (2018) search and discovery.com; Deep convolutional neur...
- 《Geophysics》 被引量: 1发表: 2018年 A machine-learning based approach to predict facies associations and improve local and regional stratigraphic correlations Classification and prediction models for facies associations using machine learning.Data pre-processing improves the accuracy of machine learning...
Yu SW, Ma JW (2021) Deep learning for geophysics: current and future trends. Rev Geophys. https://doi.org/10.1029/2021rg000742 Article Google Scholar Zhang X, Curtis A (2021) Bayesian geophysical inversion using invertible neural networks. J Geophys Res-Solid Earth. https://doi.org/10.1029...
Electro geophysics- Interactive applications for electromagnetics in geophysics Graph Signal- Graph signal processing tutorial. Mechanical Vibrations- Mechanical Vibrations at the Univsersity of Louisiana. Process Dynamics- Process Dynamics and Control