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凝析油气藏在条件变化时可转化为高含天然气的轻质油。由于烃类的扩散特性会对测井密度和测井声波产生较大的影响，常规方法（即各种回归方法或体积模型等方法）未考虑岩心分析数据、测井数据本身的特点，强行在两种数据之间建立关系。因此，所建立的解释模型存在着误差，这种误差在凝析油气藏的条件下表现为测井中确定的孔隙度偏高，而有时这种偏高具有随机性，因此，很难用系统偏移式或其他常规方法进行校正。应用“岩心刻度测井”技术，用岩心分析密度或地面自然伽马对此测井密度或测井自然伽马进行深度归位；对岩心分析孔隙度进行加权平滑滤波，使其分辨率与测井孔隙度曲线相匹配，对岩心分析数据和测井数据进行预处理之后，在灰色理论模型ＧＭ（Ｉ，Ｎ）技术支持下，充分利用了多条测井曲线提供的地质信息，以岩心分析数据为基础，建立了测井解释孔隙度模型，针对气藏特点，采用了合适的校正方法，实用效果表明，测井解释孔隙度满足储量计算的要求。

RESEARCH ON CONDENSATE RESERVOIR POROSITY ON THE BASIS OF LOG MULITI WELL ANALYSIS

??As the great influence of hydrocarbon diffusion on log density and log sonics,the relation between core analysis data and log data is forcedly estabished by conventional ways (i.e.the various regression methods or volumetril model method etc.)without considering the data's characteristics.SO,the established model takes the error showing up as a higher porosity in the condition of condensate reservoirs while logging,and the higher porosity with randomization makes error correction very difficulty by system migration or other conventional methods.The depth localization of log depth or log natural gamma is done by appling "core calibration log" technique,core analysis density or surface natural gamma.Weighed smoothing filtering of core analysis porosity makes the resolution match log porosity curves.After preprocessing the core analysis data and log data,the geological information provided by log curves is fully used under the support of grey theory model GM(I,N )technique.Log interpretation porosity model is set up on the basis of core analysis data.Aimed at the gas reservoir characteristics,suitable correction method is adopted,and the applied result shows log interpretation porosity can meet the requirement of reserves calculation.