4d-seismic-neural-inversion

Deep Neural Networks for Map-Based 4D Seismic Pressure-Saturation Inversion

https://github.com/jesperdramsch/4d-seismic-neural-inversion

Science Score: 44.0%

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Repository

Deep Neural Networks for Map-Based 4D Seismic Pressure-Saturation Inversion

Basic Info
  • Host: GitHub
  • Owner: JesperDramsch
  • License: apache-2.0
  • Language: Jupyter Notebook
  • Default Branch: master
  • Size: 963 KB
Statistics
  • Stars: 30
  • Watchers: 5
  • Forks: 12
  • Open Issues: 0
  • Releases: 1
Created about 6 years ago · Last pushed almost 4 years ago
Metadata Files
Readme License Citation

README.md

Deep Neural Networks for Map-Based 4D Seismic Pressure-Saturation Inversion

This repository reproduces the results in the following publications:

Dramsch, J. S., Corte, G., Amini, H., Lüthje, M., & MacBeth, C.. (2019, April). Deep Learning Application for 4D Pressure Saturation Inversion Compared to Bayesian Inversion on North Sea Data. In Second EAGE Workshop Practical Reservoir Monitoring 2019.

Dramsch, J. S., Corte, G., Amini, H., MacBeth, C., & Lüthje, M.. (2019). Including Physics in Deep Learning--An example from 4D seismic pressure saturation inversion. arXiv preprint arXiv:1904.02254.

Architecture

The network architecture includes basic physics (AVO) on the input data to learn noisy gradients and learn the residual.

AVO-based deep neural network

Results

AVO-based deep neural network results

Owner

  • Name: Jesper Dramsch
  • Login: JesperDramsch
  • Kind: user
  • Location: Bonn
  • Company: @ECMWF

Scientist for Machine Learning. 🦾 No step on snek. 🐍 You miss 99% of the benchmarks you don't overfit on.

Citation (CITATION.cff)

cff-version: 1.2.0
message: "If you use this software, please cite the accompanying papers as below."
authors:
- family-names: "Dramsch"
  given-names: "Jesper Sören"
  orcid: "0000-0001-8273-905X"
title: "Deep Neural Networks for Map-Based 4D Seismic Pressure-Saturation Inversion"
version: 1.0
doi: 10.6084/m9.figshare.11396184.v1
date-released: 2019-12-18
url: "https://github.com/JesperDramsch/4D-seismic-neural-inversion"
preferred-citation:
  type: proceedings
  authors:
  - family-names: "Dramsch"
    given-names: "Jesper Sören"
    orcid: "0000-0001-8273-905X"
  - family-names: "Corte"
    given-names: "Gustavo"
  - family-names: "Amini"
    given-names: "Hamed"
    orcid: "0000-0001-9588-6374"
  - family-names: "Lüthje"
    given-names: "Mikael"
    orcid: "0000-0003-2715-1653"
  - family-names: "MacBeth"
    given-names: "Colin"
    orcid: "0000-0001-8593-3456"
  doi: "10.3997/2214-4609.201900028"
  journal: "Second EAGE Workshop Practical Reservoir Monitoring 2019"
  month: 4
  start: 1 # First page number
  end: 5 # Last page number
  title: "Deep Learning Application for 4D Pressure Saturation Inversion Compared to Bayesian Inversion on North Sea Data"
  issue: 2
  volume: 1
  year: 2019

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