Research on Correction of Temperature and Mineralization and Prediction of Water Holdup Based on Machine Learning-Reference-Cited by-同舟云学术

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Research on Correction of Temperature and Mineralization and Prediction of Water Holdup Based on Machine Learning

Published:2024 Issue: Volume:12 Page:100377-100388
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Dai Xiaomei¹,Wei Yong¹^ORCID,Gan Ruyi¹,Wei Baojun²,Xiang Yalin³,Liu Ping²

Affiliation:

1. School of Electronic Information and Electrical Engineering, Yangtze University, Jingzhou, China

2. Changqing Branch of China Petroleum Group Logging Company Ltd., Xi’an, China

3. Southwest Branch of China Petroleum Group Logging Company Ltd., Chongqing, China

Funder

Scientific Research and Technology Development Project of China National Petroleum Corporation

Hubei Provincial Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx8/6287639/10380310/10604835.pdf?arnumber=10604835

Reference33 articles.

1. New Measurement Method of Oil-Water Two-Phase Flow with High Water Holdup and Low Rate by Phase State Regulation

2. Oil-Water Two-Phase Flow with Three Different Crude Oils: Flow Structure, Droplet Size and Viscosity

3. Capacitive Phase Shift Detection for Measuring Water Holdup in Horizontal Oil–Water Two-Phase Flow

4. Measurement of local oil holdup for oil-in-water emulsion flows using multiple mini-conductance probes

5. Ultrasonic method for measuring water holdup of low velocity and high-water-cut oil-water two-phase flow

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