Simulation of SAGD for the greenfield development plan using AI-based parameter optimisations

IF 0.6 4区工程技术 Q4 ENERGY & FUELS International Journal of Oil, Gas and Coal Technology Pub Date : 2023-01-01 DOI:10.1504/ijogct.2023.10057685

Vivek Ramalingam, Jainish Shinghala, Vrutang Shah

引用次数: 0

查看原文

微信好友朋友圈 QQ好友复制链接

本刊更多论文

基于人工智能参数优化的绿地开发方案SAGD模拟

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文去求助

来源期刊

International Journal of Oil, Gas and Coal Technology ENERGY & FUELS-ENGINEERING, CHEMICAL

CiteScore

1.30

自引率

0.00%

发文量

审稿时长

2.9 months

期刊介绍： IJOGCT is a multidisciplinary refereed journal that is concerned with exploration, production, processing and refining, storage and transportation, economical, managerial, business, environmental, safety and security issues related to oil, natural gas, coal and petrochemicals as well as manufacturing and refining of biofuels. Topics covered include Exploration, geological studies, reserves estimation Production/recovery methods, drilling technology, subsea engineering Production rates, forecasting future demand Heavy oil, oil sand/shale recovery/processing, oil/gas field processing Petroleum refining, coal liquid/hydrogen production, petrochemical industry Ultra low sulphur fuels, LNG, CNG and LPG, natural gas processing Gasoline from natural gas/coal liquid, biorefining, biofuels Nano/biotechnology, computerisation/automation, modelling/simulation Refinery process optimisation, management of refining industry, major oil companies Fuel quality/specifications, storage, transportation Environmental issues, carbon management, sequestration, storage Oil spill occurrence, monitoring, clean up methods, contingency plans Fuel prices, future market fluctuations, forecasting, safety/security Business/international trade regulations, political/governmental/economic issues Biofuels vs fossil fuels; future technology, business.