【摘要】 储层参数预测对油田勘探具有重要意义。文章采用主成分变换优化法对海拉尔盆地某油田的11种地震属性进行标准化、主成分变换,计算结果说明,只需其中4种主成分用于储层预测。利用神经网络方法对储层孔隙度进行预测,预测结果与测井资料十分吻合,取得了较好的预测效果。更多还原

【Abstract】 It is very important to oilfield exploration that predicted reservoir parameter. In this paper the principal component transform method is used to standardize and transform the eleven seismic attributes in Hailaer Basin.The result of calculation indicated this reservoir prediction only need four principal component.The reservoir porosity is predicted by the artificial neural network method.The predicted result tallies with well log data and achieved good result.更多还原