原油色谱指纹技术的优化与改进

Optimization and improvement of crude oil chromatographic fingerprint technology

利用多内标绝对浓度定量分析和单组分分离等方法,对原油色谱指纹技术进行了改进,并对所选指纹化合物进行了色谱-质谱定性鉴定,证实其为非混合化合物。运用回归算法建立了原油色谱指纹数学模型,并对混合原油中单层原油的配比比例进行了计算,其结果与理论精度相比可达88%。原油指纹技术在W1、W2油田4口合采油井上进行了现场分层产能监测,其结果相对误差在10%~15%,能准确判别主力油层。原油色谱指纹技术用于合采油井的分层产量预测,具有快速、经济的特点,对油田的生产优化具有重要意义。

Use method of multiple internal standard method absolute concentration quantitative analysis and one component separation to improve crude oil chromatographic fingerprint technology,carry on chromatographic——mass spectrum qualitative identification on selected compound to confirm it's non-mixed compound,apply regression algorithm to set up crude oil chromatographic fingerprint mathematical model,calculate single layer crude oil combination proportion in the mixed crude oil,its result precision reach 88% comparing to the theoretical precision.Applying crude oil fingerprint technology on W1,W2 oilfield 4 commingled oil wells to carry on site separated layer productivity monitoring,it relative error is 10%~15%,and could distinguish the main oil layer accurately.The crude oil chromatograph fingerprint technology is used in commingled oil well separated layer productivity prediction,it's rapid and economical,which has the important meaning to the oil field production optimization.