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碳酸盐岩储集空间以溶洞和裂缝为主,在接近奥陶系灰岩表面,由于储集空间填充物与上覆地层岩石物理特性较为接近,造成直接利用地震数据对储层预测的不精确性,给储层地震预测带来很大困难。在假定地震属性与储层呈线性关系条件下,以交叉检验误差最小为准则,在提取的众多地震属性中,优选有利于储层描述的几组地震属性,在选定的地震属性参数空间结合RBF非线性算法,建立了地震属性关于储层的映射关系,并通过地震属性参数空间适应性分析,给出了各局部预测结果可信度评估结果。在新疆塔中油田良里塔格组礁滩体地震预测中见到较好效果。
Carbonatite reservoir space is dominated by karst caves and fractures. Near the surface of Ordovician limestone, reservoir physical properties of reservoir and overlying strata are close to each other, which leads to the reservoir prediction not directly using seismic data. Accuracy has great difficulties in predicting reservoir earthquakes. Based on the assumption that the seismic attribute is linear with the reservoir, the minimum cross-validation error is the criterion. Among the many seismic attributes extracted, several sets of seismic attributes that are favorable to the reservoir description are preferred and combined in the selected seismic attribute parameter space RBF nonlinear algorithm is used to establish the mapping relationship between seismic attributes and reservoirs. Based on the spatial adaptability analysis of seismic attribute parameters, the reliability assessment results of each local prediction result are given. In Tarim Oilfield in Xinjiang Tarim Group reefs beach earthquake prediction to see good results.