一种CO2驱油井产能预测方法及其应用（）　　引用格式：吴晓东，尚庆华，刘长宇，等.一种CO2驱油井产能预测方法及其应用［J］.石油钻采工艺，2012，34（1）：72-74.　　摘要：　　中图分类号：TE328

A productivity prediction method for CO2 flooding well and its application

吴晓东 尚庆华 刘长宇 王庆 王峰 张德平

WU Xiaodong SHANG Qinghua LIU Changyu WANG Qing WANG Feng ZHANG Deping

中国石油大学石油工程教育部重点实验室，北京　102249 吉林油田采油工艺研究院，吉林松原　138000

MOE Key Laboratory of Petroleum Engineering in China University of Petroleum, Beijing 102249, China Production Technology Research Institute, Jilin Oilfield Co., Songyuan 138000, China

油井产能预测是油田开发和人工举升设计的重要基础和依据。为了建立CO2驱油井产能预测方法和模型，在考虑地层压力、泄油半径、渗透率、相渗曲线、原油组成、CO2含量及表皮因子等因素对其影响的基础上，进行了正交试验方案设计和油藏数值模拟计算，借鉴Vogel建立溶解气驱油井产能方程的方法，通过对数值模拟计算结果的综合无因次化，建立了CO2驱油井产能预测模型。应用该模型对吉林油田CO2试验区的2口井进行实例计算，11个数据点的平均相对误差为4.27%，最大相对误差为9.07%，说明该方法和模型的预测精度较高，在CO2驱油田开发方案编制和油井举升设计中具有一定的应用可行性。

Well productivity prediction is the key point and important reference to oilfield development and artificial lift design. In order to establish a method and model of productivity prediction for the CO2 flooding well, considering the influence of formation pressure and drainable radius, permeability and relative permeability curves, crude oil components, CO2 concentration and skin factor over well productivity, this paper have designed the orthogonal test and a number of reservoir numerical simulation calculations. Then based on the method of Vogel to establish well productivity equation of dissolved gas-drive reservoir, the first model of well productivity prediction for CO2 flooding was established through translating the numerical simulation results into integrated dimensionless. Example applications have launched in 2 pilot wells in Jilin oilfield and the results showed that the average relative error of 11 data points is 4.27% while the maximal relative error is 9.07%. This indicated that the prediction precision of this method and model proposed in the paper is relatively high. So it has certain application value in preparing oilfield development plan and well lifting design of CO2 flooding.