Lenovo (beijing) Limited

University of Science and Technology Beijing

Beijing Sanotech Co., Ltd

Jingwei Zhu

Jianguo Xu

Jiulong Wang

Hongqing Song

Peili Cao

Shuyi Du

Liying Song

The present disclosure provides a method and device for predicting remaining oil distribution based on historical and predictive reservoir knowledge. The method includes: establishing complete data sets according to relevant historical dynamic and static monitor data of oil wells in a target reservoir; training and testing a long and short-term memory (LSTM) model using the complete data sets; predicting production of a single well at a preset moment by using the trained LSTM model; acquiring three-phase saturations of the single well at the preset moment based on the production predicting results and experience of reservoir experts; and according to the three-phase saturations of the single well, setting boundary conditions and physical constraints for the reservoir, and deriving an oil-gas-water three-phase saturation field at the preset moment using Kriging interpolation to obtain a prediction result of remaining oil distribution in the target reservoir.

Method and device for predicting remaining oil distribution based on historical and predictive reservoir knowledge

An information processing method, electronic apparatus, and a system are described where the method includes establishing a connection with a second electronic apparatus; receiving a first control instruction from the second electronic apparatus; parsing the first control instruction, to obtain an adjusting parameter for an audio adjusting unit; adjusting a gain for the audio adjusting unit based on the adjusting parameter; and processing and outputting audio information received from the second electronic apparatus based on the adjusted gain.

Information processing method, electronic apparatus and system

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Beijing, China

Jingwei Zhu