Reservoir Characterization and Productivity Forecast Based on Knowledge Interaction Neural Network
The reservoir characterization aims to provide the analysis and quantification of the injection-production relationship, which is the fundamental work for production management. The connectivity between injectors and producers is dominated by geological properties, especially permeability. However,...
Main Authors: | Yunqi Jiang, Huaqing Zhang, Kai Zhang, Jian Wang, Shiti Cui, Jianfa Han, Liming Zhang, Jun Yao |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2022-05-01
|
Series: | Mathematics |
Subjects: | |
Online Access: | https://www.mdpi.com/2227-7390/10/9/1614 |
Similar Items
-
Porosity Prediction and Uncertainty Estimation in Tight Sandstone Reservoir Using Non-Deterministic XGBoost
by: Touhid Mohammad Hossain, et al.
Published: (2024-01-01) -
“Second quantitative characterization” and its application in fractured-vuggy carbonate reservoirs
by: Yong LI, et al.
Published: (2022-01-01) -
The foresight methodology for transitional shale gas reservoirs prediction based on a knowledge graph
by: Wenyu Li, et al.
Published: (2024-10-01) -
Uncertain Knowledge Graph Embedding Using Auxiliary Information
by: Adil Bahaj, et al.
Published: (2024-01-01) -
Reservoir Characterization and an Integrated Approach of Reservoir Modeling for Miano Gas Field, Middle Indus Basin
by: Chen Yang, et al.
Published: (2023-01-01)