Abstract
During the study of oil and gas geochemistry, analysis of big data must be experienced, and there are some abnormal values in tremendous amount data, which will affect the analysis results of oil and gas migration. On the basis of geochemical big data of YM32 buried hill reservoirs in Tarim Basin, the mean value and standard deviation of hydrocarbon compound parameters reflecting the direction of hydrocarbon migration in the samples are analyzed, and the outliers, which less than \( {\bar{\text{X}}} \)−2D and great than \( {\bar{\text{X}}} \)+2D, are excluded. According to the content of saturated hydrocarbon and aromatics, the hydrocar bon migration factors are calculated and analyzed, and a three-step method of hydrocarbon migration tracer is formed. It is inferred that there are two oil and gas filling points of YM342-YM343 and YM50 in the YM32 buried hill reservoir, as well as four migration paths of YM342-YM343 to YM34, YM342-YM343 to YM37 to YM35, YM342-YM343 to YM33, and YM50 to YM321. The method can be used for reference in the evaluation of oil and gas reservoirs and in the search of remaining oil enrichment areas.
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