多参数油气地球化学异常评价方法及其应用效果

介绍了几种油气化探多参数异常评价方法，包括以多元正态分布理论为基础的多元背景与异常下限划分方法——ＭＡＡ方法；以突出油气信息、压抑不利影响的ＭＰＶ方法；Ｄ函数方法——ＭＡＤ和ＭＡＶ方法。通过在华北某油区的应用，异常对油气藏指示成功率达５０％以上。并提出了油气藏的套合异常模式。

MULTIPARAMETER APPRAISING METHODS OF GEOCHEMICAL ANOMALYS FOR OIL AND GAS AND ITS APPLICATION RESULTS

Some multiparameter anormaly apparising methods of geochemical prospecting for oil are introduced, including the MAA method, based on multi normal distribution theory to subdivide the multiparameter background and the lower limits of the anormalies, the MPV method, based on the enhancement of information on oil and gas and suppressing the disadvantageous effects, the MAD method, the method of D function, and the MAV method. Satisfactory results are achieved in their application to an oil field in North China. It is shown that the possibility of success for the geochemical anormalies to match the oil reservoir is higher than 50 percent. An overlaping model is proposed for the exploration of oil reservoirs.