A machine learning model for predicting the minimum miscibility pressure of CO2 and crude oil system based on a support vector machine algorithm approach-Reference-Cited by-同舟云学术

A machine learning model for predicting the minimum miscibility pressure of CO2 and crude oil system based on a support vector machine algorithm approach

Published:2021-04 Issue: Volume:290 Page:120048
ISSN:0016-2361
Container-title:Fuel
language:en
Short-container-title:Fuel

Author:

Chen Hao,Zhang Chao,Jia Ninghong,Duncan Ian,Yang Shenglai,Yang YongZhi

Funder

Natural Science Foundation of Beijing Municipality

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Organic Chemistry,Energy Engineering and Power Technology,Fuel Technology,General Chemical Engineering

Reference56 articles.

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4. The effect of permeability on supercritical CO2 diffusion coefficient and determination of diffusive tortuosity of porous media under reservoir conditions;Li;J CO2 Util,2018

5. Study on pressure interval of near-miscible flooding by production gas Re-injection in QHD offshore oilfield;Chen;J Petrol Sci Eng,2017

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