A Carbonate Reservoir Prediction Method Based on Deep Learning and Multiparameter Joint Inversion

A Carbonate Reservoir Prediction Method Based on Deep Learning and Multiparameter Joint Inversion

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Deep-water carbonate reservoirs are currently the focus of global oil and gas production activities. The characterization of strongly heterogeneous carbonate reservoirs, especially the prediction of fluids in deep-water presalt carbonate reservoirs, exposes difficulties in reservoir inversion due to...

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Bibliographic Details
Main Authors: Cheng, S. (Author), Hao, Y. (Author), Huang, H. (Author), Li, P. (Author), Tian, X. (Author), Wang, C. (Author)
Format: Article
Language:English
Published: MDPI 2022
Subjects:
Carbonate reservoir
carbonate reservoirs
Carbonation
Complex networks
Complexes structure
Forecasting
Inversion methods
Joint inversion
Long short-term memory
LSTM neural network
Multiparameters
Neural-networks
parameter prediction
Parameter prediction
Petroleum reservoirs
Porosity
Pre salts
prestack inversion
Prestack inversion
Seismology
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