Shear wave prediction method of tuffaceous reservoir based on LSTM cyclic neural network

Author:

Meng Dong1

Affiliation:

1. Research Institute of Petroleum Exploration and Development Daqing Oilfield Company Limited,Daqing,China

Publisher

IEEE

Reference6 articles.

1. Poroelastic shear modulus dependence on pore-fluid properties arising in a model of thin isotropic layers

2. Hybrid learning schemes for fast training of feedforward neural net-works [J];karayiannis;Mathematics and Computers in Simulation,0

3. Prediction of S-wave velocity based on GRU neural network;sun;Oil Ge-ophysical Prospecting,2020

4. Application progress of machine learning in geophysical logging;zhang;Well Logging Technology,2020

5. Parallel distributed processing: Explorations in the micro-structure of cognition;rumelhart;Cambridge[M],1986

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