[HTML][HTML] 基于机器学习实现海上气田陆地终端液态产品产量预测与挖潜

羊新州, 闫正和, 罗睿乔, 杨鹏, 唐圣来 - Journal of Oil and Gas …, 2021 - hanspub.org
海上开采出来的天然气通过海底管线输送到陆地天然气处理终端, 经过一系列处理工艺后,
生产量丙烷, 丁烷, 轻烃和凝析油等副产品. 副产品的产出不光与各气田本身的气质组分相关 …

Productivity evaluation based on naive Bayesian algorithm in shale reservoir.

L Chenggang, LI Juhua, C Yiwei… - Journal of …, 2023 - search.ebscohost.com
Shale oil, as an unconventional oil and gas resource with huge reserves, has become an
important replacement resource and great significance to develop. Aiming at the problems of …

[PDF][PDF] The Prediction and Improvement of Liquid Hydrocarbons Production Based on the Machine Learning Algorithm

X Yang, Z Yan, R Luo, P Yang, S Tang - 2020 - pdf.hanspub.org
The natural gas extracted from the offshore gasfield is transported to the onshore gas
treatment terminal through the submarine pipeline. After a series of treatment processes …

[引用][C] 基于机械比能的钻速预测模型优选

沐华艳, 孙金声 - 钻采工艺, 2023