Time Series Analysis of Production Decline in Carbonate Reservoirs with Machine Learning
Classical decline methods, such as Arps yield decline curve analysis, have advantages of simple principles and convenient applications, and they are widely used for yield decline analysis. However, for carbonate reservoirs with high initial production, rapid decline, and large production fluctuation...
Saved in:
Main Authors: | Liqiang Wang, Mingji Shao, Gen Kou, Maoxian Wang, Ruichao Zhang, Zhengzheng Wei, Xiao Sun |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2021-01-01
|
Series: | Geofluids |
Online Access: | http://dx.doi.org/10.1155/2021/6638135 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Optimal Inflow Performance Relationship Equation for Horizontal and Deviated Wells in Low-Permeability Reservoirs
by: Liqiang Wang, et al.
Published: (2021-01-01) -
A Practical Methodology for Production Data Analysis in Carbonate Reservoirs Using New Decline Type Curves
by: Zhihao Jia, et al.
Published: (2020-01-01) -
Reservoir water level decline accelerates ground subsidence: InSAR monitoring and machine learning prediction of surface deformation in the Three Gorges Reservoir area
by: Jiaer Yang, et al.
Published: (2025-01-01) -
Prediction Model of Rate Decline for Acid-Fracturing Vertical Wells in Pore-Cavity-Fracture Carbonate Reservoirs
by: Mingxian Wang, et al.
Published: (2022-01-01) -
Satellite Observations Reveal Declining Diatom Concentrations in the Three Gorges Reservoir: The Impacts of Dam Construction and Local Climate
by: Menglan Gan, et al.
Published: (2025-01-01)