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Zhang et al., 2021 - Google Patents

Data-driven approaches for time series prediction of daily production in the Sulige tight gas field, China

Zhang et al., 2021

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Document ID
2694403076590454774
Author
Zhang Q
Chen Z
Zeng Y
Gao H
Wei Q
Luo T
Wang Z
Publication year
Publication venue
Artificial Intelligence in Geosciences

External Links

Snippet

The Sulige tight gas field is presently the largest gas field in China. Owing to the ultralow permeability and strong heterogeneity of the reservoirs in Sulige, the number of production wells has exceeded 3,000, keeping the stable gas supply in the decade. Thus, the daily …
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    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N99/00Subject matter not provided for in other groups of this subclass
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    • G06F17/30286Information retrieval; Database structures therefor; File system structures therefor in structured data stores
    • G06F17/30386Retrieval requests
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    • G06N3/06Physical realisation, i.e. hardware implementation of neural networks, neurons or parts of neurons
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    • G06COMPUTING; CALCULATING; COUNTING
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    • G06N5/02Knowledge representation
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