Prestack Seismic Inversion Driven by Priori Information Neural Network and Statistical Characteristic
Author:
Affiliation:
1. School of Resources and Environment, University of Electronic Science and Technology of China (UESTC), Chengdu, China
2. Research Institute of Petroleum Exploration and Development, Beijing, China
Funder
National Natural Science Foundation of China
Scientific Research and Technological Development Project of PetroChina
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Link
http://xplorestaging.ieee.org/ielx7/36/10354519/10509689.pdf?arnumber=10509689
Reference62 articles.
1. Seismic reservoir description using hybrid seismic inversion: A 3D case study from the María Inés Oeste Field, Argentina
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3. Prediction of Reservoir Quality from Log-Core and Seismic Inversion Analysis with an Artificial Neural Network: A Case Study from the Sawan Gas Field, Pakistan
4. Inverse Problem Theory and Methods for Model Parameter Estimation
5. Seismic inversion for reservoir properties combining statistical rock physics and geostatistics: A review
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