罗家地区砂砾岩体岩相特征及其分析技术

胜利油田罗家地区砂砾岩体具有多种岩性并存、成分复杂的特点。在缺少成像及特殊测井资料的情况下 ,以岩心、岩相分析结果为依据 ,对比了各种岩相的地质特征 ,总结了常规测井资料在砾岩沉积体中反映出的特殊的响应特征。用多测井参数交会法划分出砾岩相、砂岩相和泥岩相 ,用多元统计分析法划分测井相 ,建立了测井相与岩心、岩相的对应关系。赋予测井相与岩心资料类似的岩石结构特征 ,将砾岩进一步划分为颗粒支撑砾岩、杂基支撑砾岩、混合支撑砾岩 ,这有助于准确地划分储集层和非储集层。应用砂砾岩体岩相分析方法在计算机上处理了研究区内 4口取心井的资料 ,其处理结果与岩心剖面对比分析 ,符合率达到 87.5 %。这说明该方法可以在该区未取心井中应用。将研究区内 6 7口井的测井资料解释结果用于划分储集层和确定沉积相 ,取得了很好的效果。

Lithofacies characters and analytic methodologies of glutenite teservoir in luojia area

The glutenite reservoir in Luojia area of Shengli Oilfield has high heterogeneity and multiple types of rocks and complex components. Based on the lithofacies divided by using analytic data of coring wells, the special responses representing characteristics of different lithofacies were summarized by comparing the geological characteristics of different lithofacies. The cross-plot was used to identify conglomerate, sand and clay. The multivariate statistical analysis was applied to classify electrofacies and give out the rock characteristics of electrofacies corresponding with coring data. The conglomerate was subdivided into three types of conglomerates, which is helpful to identify the reservoir and non-reservoir. This method was used to process data of four coring wells. The coincidence rate of calculation with coring data is 87.5 percent. Therefore, this technique can be used in the wells lacking in coring data in Luojia area. The log data processing results from 67 wells were used to identify reservoir and sedimentary facies. The good results have been obtained.