1887

Abstract

Summary

In this work we present a deep neural network inversion on map-based 4D seismic data for pressure and saturation. We present a novel neural network architecture that trains on synthetic data and provides insights into observed field seismic. The network explicitly includes AVO gradient calculation within the network as physical knowledge to stabilize pressure and saturation changes separation. We apply the method to Schiehallion field data and go on to compare the results to Bayesian inversion results. Despite not using convolutional neural networks for spatial information, we produce maps with good signal to noise ratio and coherency.

Loading

Article metrics loading...

/content/papers/10.3997/2214-4609.201900028
2019-05-19
2019-12-07
Loading full text...

Full text loading...

References

  1. Amini, H.
    [2018] Comparison of Xu-White, Simplified Xu-White (Keys & Xu) and Nur's Critical Porosity in Shaley Sands. In: 80th EAGE Conference and Exhibition 2018.
    [Google Scholar]
  2. Bergstra, J., Yamins, D. and Cox, D.D.
    [2013] Making a science of model search: Hyperparameter optimization in hundreds of dimensions for vision architectures.
    [Google Scholar]
  3. Bergstra, J.S., Bardenet, R., Bengio, Y. and Kégl, B.
    [2011] Algorithms for Hyper-Parameter Optimization. In: Shawe-Taylor, J., Zemel, R.S., Bartlett, P.L., Pereira, F. and Weinberger, K.Q. (Eds.) Advances in Neural Information Processing Systems 24, Curran Associates, Inc., 2546–2554.
    [Google Scholar]
  4. Chollet, F.
    [2015] Keras. https://github.com/fchollet/keras.
    [Google Scholar]
  5. Corte, G., MacBeth, C. and Amini, H.
    [submitted 2019] North Sea field application of 4D Bayesian inversion to pressure and saturation changes. In: 81st EAGE Conference & Exhibition 2019. Submitted.
    [Google Scholar]
http://instance.metastore.ingenta.com/content/papers/10.3997/2214-4609.201900028
Loading
/content/papers/10.3997/2214-4609.201900028
Loading

Data & Media loading...

This is a required field
Please enter a valid email address
Approval was a Success
Invalid data
An Error Occurred
Approval was partially successful, following selected items could not be processed due to error