Static pressure prediction method for CO2 flooding oil reservoirs based on time series partitioning Transformer model

Static pressure prediction method for CO2 flooding oil reservoirs based on time series partitioning Transformer model

Reservoir’s static pressure is an essential basic data in the development and research of oil and gas fields. Its acquisition conditions are strict， and the sample number is extremely small. Static pressures are estimated with empirical methods based on dynamic pressure data during the production pr...

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Bibliographic Details
Main Authors: LI Chunlei, YANG Heshan, ZHANG Hongxia, CAO Yumin, JIANG Xingxing, JIN Caixia
Format: Article
Language:zho
Published: Editorial Office of Petroleum Geology and Recovery Efficiency 2025-07-01
Series:Youqi dizhi yu caishoulu
Subjects:
deep learning
time series model
reservoir’s static pressure
prediction model
transformer
Online Access:https://yqcs.publish.founderss.cn/thesisDetails#10.13673/j.pgre.202408006&lang=en
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