地质-工程-材料参数融合提高低压气井单井作业一次成功率  

Integrating geological-engineering-material parameters to improve the success rate of single-well operations in low-pressure gas wells

作　　者：朱方辉 郑力会[1] 王宪文[2,3] 王治国[2,3] 魏攀峰 陶秀娟[5] ZHU Fanghui;ZHENG Lihui;WANG Xianwen;WANG Zhiguo;WEI Panfeng;TAO Xiujuan(College of Petroleum Engineering,China University of Petroleum(Beijing),Changping,Beijing,102200,China;National Engineering Laboratory of Low Permeability Oil and Gas Field Exploration and Development,Xi’an,Shaanxi,710000,China;Research Institute of Oil and Gas Technology,PetroChina Changqing Oilfield Company,Xi'an,Shaanxi,710000,China;Beijing Lihui Lab Energy Technology Co.,Ltd.,Changping,Beijing,102200,China;Shaanxi University of Science&Technology,Xi'an,Shaanxi,710000,China)

机构地区：[1]中国石油大学(北京)石油工程学院,北京昌平102200 [2]低渗透油气田勘探开发国家工程实验室,陕西西安710000 [3]中国石油长庆油田分公司油气工艺研究院,陕西西安710000 [4]北京力会澜博能源技术有限公司,北京昌平102200 [5]陕西科技大学化学与化工学院,陕西西安710000

出　　处：《石油钻采工艺》2024年第6期667-680,共14页Oil Drilling & Production Technology

基　　金：中国石油天然气股份有限公司重大科技专项“长庆油田5000万吨持续稳产关键技术研究与应用”(项目编号2016E-0511)。

摘　　要：(目的意义)低压气井在很低的压力下依然高产。长庆下古气井地层压力系数0.4左右,仍然具备经济产量。修井过程中的漏失控制是保证气井稳产高产的关键。(方法过程)搜集长庆油田下古低压气井50余口,80多项地质、工程、材料特征参数,抽取17项原生数据,引入大数据评价思想,得到多因素条件下不同因素权重系数,指导低压下古气井漏失主控因素条件下匹配的封堵材料性能,构建了绒囊流体、绒囊流体复配等3种压井液体系。从50组配方中优选5套配方,评价7~30 d承压能力和自降解能力的变化。(结果现象)7 d后承压能力随着材料自降解衰减幅度为1.96%~4.10%,30d后承压能力随着材料自降解衰减降幅范围为18.36%~23.23%,30 d后渗透率恢复值95%左右,现场试验G37-A井、G31-B井等3口下古低压气井因更换管柱实施暂堵压井作业,3口井承压能力分别是23.93、19.89和26.53 MPa,清水漏速均低于2 m^(3)/h。(结论建议)利用地质、工程、材料特征信息结合大数据思想优化思想能够有效提高单井封堵效率,也为钻井、完井等其他漏失井提供了可借鉴的方法。Low-pressure wells still produce at high rates under very low pressure.The formation pressure coefficient of the ancient gas wells in the Changqing field is around 0.4,yet they still maintain economically viable output.Leak control during well workover is key to ensuring stable and high production from these wells.By collecting data from over 50 ancient low-pressure gas wells in the Changqing oilfield,with more than 80 geological,engineering,and material characteristic parameters,and extracting 17 sets of raw data,we introduced big data evaluation concepts to determine the weight coefficients of different factors under multifactor conditions.This guided the matching of plugging material performance under the main controlling factors for leakage in low-pressure ancient wells,leading to the development of three types of well killing fluid systems:fuzzy ball fluid,fuzzy ball fluid compound system,etc.From 50 formulations,we selected 5 sets of optimized formulas and evaluated their pressure-bearing capacity and self-degradation ability changes over 7-30 days.After 7 days,the pressure-bearing capacity decreased by 1.96% to 4.10% due to material selfdegradation,and after 30 days,it decreased from 18.36% to 23.23%,with permeability recovery values around 95%.Field tests on wells G37-A,G31-B,and others,involving temporary plugging operations due to string replacement in three ancient low-pressure gas wells,showed that the pressure-bearing capacities were 23.93,19.89,and 26.53 MPa,respectively,with water leak rates all below 2 m^(3)/h.Combining geological,engineering,and material characteristic information with big data optimization concepts can effectively improve the efficiency of single-well plugging,providing a reference method for other leaking wells due to drilling,completion,etc.

关 键 词：修井 智能 封堵 大数据 绒囊 碳酸盐岩 低压气井 漏失 

分 类 号：TE358[石油与天然气工程—油气田开发工程]