一种基于BIOLOG代谢指纹分析的油气微生物勘探新方法

A new method of microbial prospecting for oil and gas based on BIOLOG metabolic fingerprinting analysis

【目的】建立基于土壤微生物群落生理功能代谢的油气微生物勘探新方法。【方法】采集新疆玛北油气藏区浅层地表土壤样品45份,非油气藏区样品25份,利用BIOLOG微平板,测定微生物群落代谢活性,采用判别分析模型判断油气藏区微生物异常。【结果】从95种碳源中,筛选到10种能够体现油气藏区与非油气藏区土壤微生物群落结构差异的典型碳源,利用判别函数对试验及对照区进行回判,油气藏区判别正确率为97.8%,非油藏区判别正确率为100%,总判别正确率为98.6%。【结论】BIOLOG技术能高效准确的用于油气藏初步勘测。

[ Objective I Establishing a new method of microbial prospecting for oil and gas based on microbial community metabolic funclion. [ Methods] In this study, 45 shallow reservoir soil samples and 25 nonreserwfir soil samples were collected. Carbon catabolic activity of the microbial community was measured by biolog mieroplate, and microbial anomaly of reservoir was judged by diseriminant function. [ Result] We screened 10 typical carbon sources of 95 carbon sources which could reflect the differences of reservoir and nonreservoir soil microbial community structure and made the validation test set to experimental zone and controlled zone samples using the diseriminant function. The discriminate rate of reserwfir and nonreservoir were 97.8% and 100% respectively and the overall accuracy was 98.6%. [ Conclusion] Biolog technology provided a highly efficient and precise method for preliminarily predicting oil and gas reservoir.