Potential for Evaluation of Interwell Connectivity under the Effect of Intraformational Bed in Reservoirs Utilizing Machine Learning Methods
Machine learning method has gradually become an important and effective method to analyze reservoir parameters in reservoir numerical simulation. This paper provides a machine learning method to evaluate the connectivity between injection and production wells controlled by interlayer in reservoir. I...
Saved in:
| Main Author: | Jinzi Liu |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2020-01-01
|
| Series: | Geofluids |
| Online Access: | http://dx.doi.org/10.1155/2020/1651549 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Analysis of Interwell Connectivity of Tracer Monitoring in Carbonate Fracture-Vuggy Reservoir: Taking T-Well Group of Tahe Oilfield as an Example
by: Shuyao Sheng, et al.
Published: (2021-01-01) -
Characteristics of Supercritical CO<sub>2</sub> Non-Mixed Phase Replacement in Intraformational Inhomogeneous Low-Permeability Reservoirs
by: Mingxi Liu, et al.
Published: (2024-11-01) -
First Results of the Intraformational Conglomerate Test of the Late Riphean Katav Formation (Southern Urals)
by: N. P. Parfiriev, et al.
Published: (2024-01-01) -
STUDY OF THE NEOTECTONIC STRUCTURE OF THE BRATSK WATER RESERVOIR BED
by: A. G. Dmitriev, et al.
Published: (2021-10-01) -
Implementation of the Numerical Model of an Active Bed for the Wloclawek Reservoir
by: Natalia Mączka, et al.
Published: (2024-09-01)