Deep seismic cs: A deep learning assisted compressive sensing for seismic data
For large-scale seismic exploration in areas that lack even basic infrastructure, wired
geophones are impractical because of the huge effort involved and their high deployment …
geophones are impractical because of the huge effort involved and their high deployment …
Development and prospect of the nodal cable-free seismograph: a review
S Lv, J Lin, H Yang, R Tian, L Wang, K Bin… - Measurement …, 2022 - iopscience.iop.org
The performance of seismic exploration instruments directly affects the quality of acquired
seismic data as well as the efficiency of seismic survey operation. Consequently, they play a …
seismic data as well as the efficiency of seismic survey operation. Consequently, they play a …
Complex neural networks for estimating epicentral distance, depth, and magnitude of seismic waves
NC Ristea, A Radoi - IEEE Geoscience and Remote Sensing …, 2021 - ieeexplore.ieee.org
Taking advantage of the latest advances in deep learning for seismology, we address
earthquake characterization from a data-driven perspective. Many of the usual procedures …
earthquake characterization from a data-driven perspective. Many of the usual procedures …
Compressive data gathering with generative adversarial networks for wireless geophone networks
K Bin, S Luo, X Zhang, J Lin… - IEEE Geoscience and …, 2020 - ieeexplore.ieee.org
In modern seismic data acquisition, real-time data collection is a challenging task due to
bandwidth limitations in wireless communications. In this letter, we propose a novel …
bandwidth limitations in wireless communications. In this letter, we propose a novel …
Seismic data compression using deep learning
The exponential growth of the size of seismic data recorded in seismic surveys and real time
data monitoring makes seismic data compression strongly demanded. Furthermore …
data monitoring makes seismic data compression strongly demanded. Furthermore …
A machine learning-based seismic data compression and interpretation using a novel shifted-matrix decomposition algorithm
M Brankovic, E Gildin, RL Gibson, ME Everett - Applied Sciences, 2021 - mdpi.com
Seismic data provides integral information in geophysical exploration, for locating
hydrocarbon rich areas as well as for fracture monitoring during well stimulation. Because of …
hydrocarbon rich areas as well as for fracture monitoring during well stimulation. Because of …
Seismic data compression: an overview
D Sebai, M Zouaoui, F Ghorbel - Multimedia Systems, 2024 - Springer
Seismic Data (SD) have been for several decades used as one of the main inspection and
exploration tools in various fields, particularly petroleum industry and geoscience. However …
exploration tools in various fields, particularly petroleum industry and geoscience. However …
Wireless geophone networks for land seismic data acquisition: A survey, tutorial and performance evaluation
Seismic data acquisition in oil and gas exploration employs a large-scale network of
geophone sensors deployed in thousands across a survey field. A central control unit …
geophone sensors deployed in thousands across a survey field. A central control unit …
An efficient seismic data acquisition based on compressed sensing architecture with generative adversarial networks
Recently, large scale seismic data acquisition has been a critical method for scientific
research and industrial production. However, due to the bottleneck on data transmission and …
research and industrial production. However, due to the bottleneck on data transmission and …
Wi-buoy: An energy-efficient wireless buoy network for real-time high-rate marine data acquisition
The next frontier of maritime networking will see the deployment of large-scale buoy-based
mesh networks, with an equal emphasis on both high-speed data transfer and energy …
mesh networks, with an equal emphasis on both high-speed data transfer and energy …