摘要
Arps提出的产量递减规律在油气井产量预测及可采储量评价方面得到广泛应用,但在采用该方程对致密气井初期渗流阶段产量递减数据进行分析时存在最佳拟合的递减指数>1,这与常规递减指数认识不符,且预测结果与实际偏差很大。在理清致密气井递减指数变化特征基础上,从递减指数公式出发,并借鉴苏X区块63口致密气井生产动态历史拟合参数和试井解释参数平均值,建立了致密气井数值模型;通过划分致密气井各个渗流阶段响应时间,研究致密气井在各个渗流阶段递减指数变化规律,分析了4种不同因素对递减指数的影响,扩展了对Arps递减规律的认识,从而揭示了递减指数在致密气井整个预测期的变化规律。研究方法和结论对致密气井全生命期的产量递减规律分析及应用具有一定的指导和借鉴意义。
When the production decline equation proposed by Arps is used for analyzing the production decline data of tight gas wells in the initial stage of seepage,there are two problems:the decline index of the best fitting is more than 1(which is not consistent with the conventional decline index)and there is a larger deviation between the prediction results and the actual ones.For solving these problems,the numerical model of tight gas wells was established by means of Arps production decline formula,and the dynamic history fitting parameters and average well-test interpretation parameters of 63 tight gas wells in SuX block,the change of the decline index of the tight gas well in differen percolation stages is studied by dividing the response time of the tight gas well in each percolation stage,and the influences of different factors on the deline index are analyzed to reveal the variation law of the decline index of tight gas well in the whole prediction period.The method and conlusions in this paper have a certain reference value for the analysis and application of the production decline law of the tight gas well in the full life period.
作者
梁倚维
王东
李霆钧
杜超
LIANG Yiwei;WANG Dong;LI Tingjun;DU Chao(.South Sulige Operating Company,Changqing Oilfield Company,Xi'an 710018,Shaanxi,China;College of Petroleum Engineering,Southwest Petroleum University,Chengdu 610500,Sichuan,China;No.4 Gas Production Plant,Changqing Oilfield Company,Xi'an 710018,Shaanxi,China)
出处
《西安石油大学学报（自然科学版）》
CAS
北大核心
2018年第2期77-81,共5页
Journal of Xi’an Shiyou University（Natural Science Edition）
基金
长庆油田公司科技专项"长庆气田稳产及提高采收率技术研究"(2016E-0509)
关键词
致密气井
产量递减规律
渗流阶段划分
递减指数
数值模型
变化特征
tight gas well
production decline law
division of seepage stages
decline index
numerical model
variation characteristic
