摘要
崖城13-1气田为典型的高温高压凝析气藏,开发过程中未见水气井水气比持续上升,但产生原因不明。选取该气田2口典型井A4、A8井样品,通过室内实验模拟研究了地层压力和CO_2含量对凝析气中水汽含量的影响,结果表明:当地层压力从38 MPa降至3 MPa时,A4井地层流体中水气比由0.16 m^3/10~4m^3增加到1.07 m^3/10~4m^3,其中低压阶段(地层压力从12 MPa降至3 MPa)水汽含量上升量占整个阶段的71.64%;凝析气中CO_2含量从8%增加到35.39%时,初始水气比从0.24 m^3/10~4m^3增加到0.43 m^3/10~4m^3。在室内实验的基础上,建立了凝析气中水汽含量与主要影响因素的二维关系,通过Levenberg-Marquardt方法拟合得到了崖城13-1气田凝析水含量预测经验关联式,实例应用中预测结果与实际生产数据吻合程度较高。本文预测公式可用于崖城13-1气田气井凝析水产出规律预测、气井产水来源判断,以及对水侵井进行水侵动态分析等。
YC13-1 gas field is a typical high temperature and high pressure condensate gas reservoir. The water/ gas ratio of gas well continuously increases without water influx during the development, but the reasons are un-known. Taking samples of two typical wells （A4, A8） , the effects of reservoir pressure and C02 content on water vapor content in condensate gas are studied with experiments. The results show that the producing water/gas ratio of A4 well increases from 0. 16 to 1. 07 m3/l04m3 with reservoir pressure declining from 38 to 3 MPa, and water va-por content accounts for 71. 64% of the entire stages within low pressure stage （reservoir pressure from 12 to 3 MPa）. The initial producing water/gas ratio will increase from 0. 24 to 0. 43 m3 /104 m3 with C02 content from 8% to 35. 39% in condensate gas. A two-dimensional relationship between water vapor content and main effect factors of condensate gas is built？ and the empirical correlation prediction of YC13-1 condensate water content with Levenberg-Marquardt method is proposed. Application shows the predicted results with the empirical correlation agree with the production data, which indicates that the correlation can be used to predict the condensate water production regularity and its ori-gin and water invasion analysis of YC13-1 gas field.
出处
《中国海上油气》
CAS
CSCD
北大核心
2017年第5期75-81,共7页
China Offshore Oil and Gas
基金
"十二五"国家科技重大专项"海上油田丛式井网整体加密及综合调整技术(编号:2011ZX05024-002-005)"部分研究成果
关键词
崖城13-1气田
高温高压气藏
凝析水
产水规律
实验模拟
地层压力
CO2含量
预测方法
YC13-1 gas field
high temperature and high pressure gas reservoir
condensate water
water produc-tion regularity
experimental simulation
reservoir pressure
C02 content
prediction method
