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- Title
智能决策系统与排液采气技术一体化研究.
- Authors
黄万书; 刘 通; 袁 剑; 姚麟昱; 倪 杰; 杜
- Abstract
The traditional drainage gas recovery process has problems such as untimely effusion warning, delayed drainage intervention, high labor intensity and system optimization. According to actual downhole flow pressure data of twenty one wells, level 3 classification criteria for fluid accumulation were established for the comprehensive identification, which has proved to be as efficient as 92. 4% from the application in 158 wells. Then intelligent decision-making system has been built combining technical application limit and economic analysis. Through the method such as computer programming, industrial automation control, internet, the organic integration of intelligent decision-making system and drainage gas recovery has been achieved and succeeded in two wells in Zhongjiang gas-field. It has been successfully applied in Well JS 203 -7HF and JS 104 -3 HF and has realized automatic collection of wellhead pressure data, automatic identification of liquid accumulation degree in gas wells, automatic judgment of liquid drainage and gas recovery measures, and self-adjustment of liquid and gas recovery parameters. The decline rate of well JS 203 - 7 HF decreased from 76. 00 to 6. 37 cubic meters per day. Well JS 104 - 3 HF achieves stable drainage, with daily production of 3 000 cubic meters per day. The intelligent decision-making system and intelligent drainage and gas recovery device can effectively reduce the decline rate of gas production and improve the final gas recovery rate. It is a good reference for tight sandstone gas reservoirs and shale gas reservoirs.
- Publication
Natural Gas & Oil, 2020, Vol 38, Issue 5, p43
- ISSN
1006-5539
- Publication type
Article
- DOI
10.3969/j.issn.1006-5539.2020.05.008