Yong Ma
  • Bio
  • Publications
  • Experience
  • Projects
  • CV
  • Recent & Upcoming Talks
    • Example Talk
  • Projects
  • Publications
  • Publications
    • Generating Training Samples via 3D Modeling for Greenhouse Gas Emission Detection
    • Automated Wellhead Monitoring Using Deep Learning from Multimodal Imaging
    • HESSO: Towards Automatic Efficient and User Friendly Any Neural Network Training and Pruning
    • Method and system for generalizable deep learning framework for seismic velocity estimation robust to survey configuration
    • Deep learning-based DAS to geophone data transformation
    • Deep Learning-based Quantitative Carbon Geosequestration Monitoring at the Illinois Basin-Decatur Project
    • Imaging distributed acoustic sensing-to-geophone conversion data: A field application to CO2 sequestration data
    • Robust Deep Learning Seismic Velocity Inversion Over Varying Acquisitions
    • Comparing DAS and geophone data and imaging for monitoring CO2 sequestration
    • Estimate near-surface velocity with reversals using deep learning and full-waveform inversion
    • Imaging CO2 Sequestration with Converted DAS-to-Geophone Data
    • Imaging through gas clouds: The application of CSI and FWI in Bohai, China
    • Offshore application of non-uniform optimal sampling survey design
    • An example preprint / working paper
    • Reflection full waveform inversion and its application to land data
    • Full waveform inversion with dynamic image warping
    • Wave-equation reflection traveltime inversion with dynamic warping and hybrid waveform inversion
    • Application of image-guided full waveform inversion to a 2D ocean-bottom cable data set
    • Image-guided sparse-model full waveform inversion
    • Quasi-Newton full-waveform inversion with a projected Hessian matrix
    • Waveform-based velocity estimation from reflection seismic data
    • A projected Hessian matrix for full waveform inversion
    • Full Waveform Inversion with reflection energies
    • Full waveform inversion with image-guided gradient
    • The effects of multi-scale heterogeneities on wave-equation migration
    • Effects of vapour bubbles on acoustic and temperature distributions of therapeutic ultrasound
    • Noninvasive temperature estimation by detecting echo-strain change including thermal expansion
    • Phase-coded multi-pulse technique for ultrasonic high-order harmonic imaging of biological tissues in vitro
    • Investigation of superharmonic sound propagation and imaging in biological tissues in vitro
    • Theoretical and experimental study of super-harmonic sound propagation and imaging in biological tissues
    • Improvement of tissue harmonic imaging using the pulse-inversion technique
  • Blog
    • 🎉 Easily create your own simple yet highly customizable blog
    • 🧠 Sharpen your thinking with a second brain
    • 📈 Communicate your results effectively with the best data visualizations
    • 👩🏼‍🏫 Teach academic courses
    • ✅ Manage your projects
  • Projects
    • Pandas
    • PyTorch
    • scikit-learn
  • Experience
  • Teaching
    • Learn JavaScript
    • Learn Python

Deep learning-based DAS to geophone data transformation

Jan 1, 2023·
Lei Fu
,
Weichang Li
,
Yong Ma
· 0 min read
PDF Cite
Type
Journal article
Publication
IEEE Sensors Journal
Last updated on Jan 1, 2023
Deep Learning
← Method and system for generalizable deep learning framework for seismic velocity estimation robust to survey configuration Dec 1, 2023
Deep Learning-based Quantitative Carbon Geosequestration Monitoring at the Illinois Basin-Decatur Project Jan 1, 2023 →

© 2024 Yong Ma. This work is licensed under CC BY NC ND 4.0

Published with Hugo Blox Builder — the free, open source website builder that empowers creators.