Daily Production Intelligent Prediction Model of Single Well in SHB Oilfield Based on Support Vector Machine-Reference-Cited by-同舟云学术

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Daily Production Intelligent Prediction Model of Single Well in SHB Oilfield Based on Support Vector Machine

Published:2022-10-28 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE 2nd International Conference on Data Science and Computer Application (ICDSCA)
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Author:

Jun Yang¹,He Shengping¹,Kai Zu²,Yang Jingchen³

Affiliation:

1. Exploration and Development Research, Institute of Petro China Changqing Oilfield Company,Xi'an,Shaanxi,China,710000

2. Oil and Gas Technology Research Institute,Changqing Oilfield Branch Company, Petro China,Xi'an,Shaanxi,China,710021

3. Changqing Petroleum Exploration Bureau Co., Ltd. Machinery Manufacturing Plant,Xi'an,Shaanxi,China,710000

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9987722/9987731/09987928.pdf?arnumber=9987928

Reference20 articles.

1. Grain Production Prediction Based on Hybrid Intelligence Algorithm and Support Vector Machine [J];xinyin;Journal of Jiangsu University (Natural Science),2020

2. Semisupervised biased maximum margin analysis for interactive image retrieval;lining;IEEE Transactions on Image Processing,2011

3. Static/Flowing Bottomhole Pressure for A Gas Well

4. Bottom Hole Pressure Analysis of Coupled Wave and Flow Model for Fractured-vuggy Reservoir [J];xin;Applied Mathematics and Mechanics,2019

5. Refining Oil Well Cleaning and Anti-wax Working System to Ensure Stable Oil Production [J];fan;Chemical design communication,2017

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