Work

Machine learning application to predict the efficiency of water coning prevention

Year: 2021

Type: article

Source: Proceedings of OilGasScientificResearchProjects Institute SOCAR

DOI: 10.5510/ogp20210100487

Authors: E.F. Veliyev, A.A. Aliyev, T.E. Mammadbayli

Language: English

Topic: Reservoir Engineering and Simulation Methods

Subfield: Fuel Technology

Field: Energy

Domain: Physical Sciences

SDG: Clean water and sanitation

Open Access status: closed

OpenAlex ID: W4236367409

FWCI: 2.501

Cites: 38

Cited by: 29

Related to: 10