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
Online Access:	View Fulltext in Publisher

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