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气井产能递减分析与预测研究
引用本文:杨滨,方洋,王国政.气井产能递减分析与预测研究[J].西南石油大学学报(社会科学版),2015,34(4):105-109.
作者姓名:杨滨  方洋  王国政
作者单位:1. 中海油研究总院,北京东城1000272. 中国石油长城钻探测试公司,北京朝阳1001013. 中国地质大学(北京)能源学院,北京海淀100083
摘    要:在分析气藏压力变化后气井储层渗流参数和流体参数变化特征的基础上,利用实例井测试和实验分析数据,分别提出了不同类型气井产能变化规律,对其递减规律进行了理论预测,并使用矿场数据进行了定量分析,且对比了常规研究方法,着重于对产能方程系数的变化分析,尝试利用先前获取的稳定试井资料分析储层压力大幅下降后的产能动态。结果表明,常规气井产能变化主要受流体状态参数的影响;储层压力低于露点压力后,凝析气井组分变化和凝析液析出控制着气井产能的递减;变形储层开采期间储层渗流参数的变化会加快气井产能的递减速度,用修正的勘探阶段测试数据来预测产能递减能够满足工程需要。研究可为优化不同类型气井工作制度提供参考。

关 键 词:气井    二项式系数    试井    拟压力    产能方程

Analysis and Prediction of the Deliverability Decline for Gas Well
Yang Bin,Fang Yang,Wang Guozheng.Analysis and Prediction of the Deliverability Decline for Gas Well[J].Journal of Southwest Petroleum University(Social Sciences Edition),2015,34(4):105-109.
Authors:Yang Bin  Fang Yang  Wang Guozheng
Institution:1. CNOOC Research Institute,Dongcheng,Beijing 100027,China2. Greatwall Drilling Company,CNPC,Chaoyang,Beijing 100101,China3. Institute of Energy Resources,China University of Geosciences,Haidian,Beijing 100083,China
Abstract:Based on the characteristics of the changes of the seepage flow parameter and fluid parameters,the change lawsof the gas well deliverability for different types of gas reservoir are proposed by using on-site testing data and experimentalanalysis data of a gas well and the decline law is theoretically predicted,then the quantitative analysis and comparison withthe conventional methods are done by using the field data. In this paper,the analysis of the coefficients of the deliverabilityequation changes are emphasized,and also the deliverability performance after the precipitous pressure decline is studied byusing the well test data. It is shown that the deliverability of the dry gas well is mainly controlled by the fluid parameters;the rate of deliverability decline of the gas condensate well is affected by the composition change and the condensate dropoutwhen the reservoir pressure is below the dew point;the drawdown of the permeability and porosity during the developmentwill accelerate the deliverability decline in stress-sensitive gas field. By correcting the previous well testing data to predict thedecline performance for the above gas reservoir,it can satisfy the demand of productivity prediction and thus presents a basisfor the study of deliverability decline in gas reservoirs.
Keywords:gas well                                                                                                                        binomial coefficient                                                                                                                        well testing                                                                                                                        pseudopressure                                                                                                                        deliverability equation
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