智能决策系统与排液采气技术一体化研究
Study on Integrated Technology for Intelligent Decision-Making System and Drainage & Gas Recovery
浏览(1137) 下载(14)
- 引用格式:
-
黄万书,刘通,袁剑,姚麟昱,倪杰,杜洋.智能决策系统与排液采气技术一体化研究[J].天然气与石油,2020,38(5):43-48.doi:10.3969/j.issn.1006-5539.2020.05.008
Huang Wanshu,Liu Tong,Yuan Jian,Yao Linyu,Ni Jie,Du Yang.Study on Integrated Technology for Intelligent Decision-Making System and Drainage & Gas Recovery[J].Natural Gas and Oil,2020,38(5):43-48.doi:10.3969/j.issn.1006-5539.2020.05.008
- DOI:
- 10.3969/j.issn.1006-5539.2020.05.008
- 作者:
- 黄万书1，刘通1，袁剑2，姚麟昱1，倪杰1，杜洋1
Huang Wanshu1，Liu Tong1，Yuan Jian2，Yao Linyu1，Ni Jie1，Du Yang1
- 作者单位:
- 1. 中国石油化工股份有限公司西南油气分公司石油工程技术研究院,2. 中国石油化工股份有限公司西南油气分公司采气一厂
Sinopec Southwest China Petroleum Bureau, Deyang, Sichuan, 618000, China; 2.Sinopec Southwest China Petroleum Gas Production Plant, Deyang, Sichuan, 618000, China
- 关键词:
- 积液程度自动识别;智能决策;智能排液;自判断;自调整
Effusion identification; Intelligent decision-making; Intelligent drainage; Automatic judgment; Self-adjusting process
- 摘要:
- 为解决气井积液预警不及时、排采介入滞后、劳动强度大、制度优化难等问题,通过分析收集21井次的井底测压数据,建立了中江气田气井积液程度3级分类标准,形成了多指标的井筒积液数字综合识别方法,对158口井进行诊断,正确率达92.4%。结合各排采工艺应用界限和经济分析,创建了智能决策系统,并借助计算机编程、工业自动化控制、物联网互联等将智能决策系统与智能排液采气技术一体化,在JS 203-7 HF、JS 104-3 HF井成功应用,实现了井口压力数据自动收集、气井积液程度自动识别、排液采气措施自动判断、排液采气参数自动调整。JS 203-7 HF井及时介入智能泡排后产能递减率由76.00 m3/d降低到6.37 m3/d,JS 104-3 HF井及时介入智能柱塞后实现稳定排液且日增产天然气 3 000 m3/d。智能决策系统和智能排液采气装置,能有效降低气井产量递减速度,提高最终气藏采收率,对致密砂岩气藏、页岩气藏的智能化排采技术具有借鉴意义。
The traditional drainage gas recovery process has problemssuch asuntimely effusion warning, delayed drainage intervention, high labor intensityandsystem 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 95% from the application in 158 wells.Then intelligent decision-making system has been built combining technical application limit andeconomicanalysis.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 203-7 HF and JS104-3HF 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 JS203-7HF decreased from 76.00 to 6.37 cubic meters per day.Well JS104-3HF achieves stable drainage, with daily production of 3000 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 fortight sandstone gas reservoirs and shale gas reservoirs.
