关键词: 多层混采原油, 分层产能贡献, 色谱特征烃指纹分析, 非线性理论, 数学模型, 监测模板

Abstract: Nonlinear theory for chromatography fingerpinting concentration of hydrocarbon in dynamic monitor process of productivity contribution in single zone of multiple-zone production was presented.This theory has been applied to oil wells in Sartu area.Oil of single zone was taken samples from two wells in the main oil production area.The oil productivity contributions of all single zones in the two wells were determined with multiple flow evaluator (MFE) technique.A chemical model was built,by means of oil allocation ratio test in laboratory and absolute quantitative analysis on chromatography fingerprinting concentration of hydrocarbons.A nonlinear mathematical model for determining the productivity contribution of single zone in multi-zone production was developed by using neural network method.The productivity of single zone in four-zone mixed production well was calculated and compared with the field-monitored result.Its absolute deviation is less than 3.3 percent,and the relative deviation is less than 6.6 percent.The monitor standard for oil of single zone in the main well of the test area was established and used to monitor the productivity of single zone in the auxiliary wells.This method has the advantages of good practicality,less investment and high-precision monitoring,as well as broad prospect of application.

Key words: multi-zone produced oil, single-zone productivity, hydrocarbon chromatography fingerprinting analysis, nonlinear theory, mathe-matical model, monitoring standard module