摘要
鄂尔多斯盆地马岭地区长81主要发育长811、长831两套砂体,为典型的致密储层,砂体薄且横向变化快。在地震正演分析的基础上,分别采用自组织神经网络波形分类技术及分频解释技术进行储层预测,并将两种方法的预测结果进行补充印证,对马岭地区长811、长831储层展布特征进行刻画,取得了较好效果。
In the Chang 81 formation,Maling Oilfield,Ordos Basin,there are two sets of tight sands, viz.Chang 81 1 and Chang 83 1.The tight sands are thin with sharp lateral variation.This paper discusses some approaches for tight thin sand prediction.Using both self-organizing neural network waveform classification and frequency decomposition,we characterize this kind of thin reservoirs based on seismic forward modeling,and also predict their distributions.The predictions are mutual corroborated by these two approaches.Results show that our approaches are efficient.
出处
《石油地球物理勘探》
EI
CSCD
北大核心
2013年第A01期47-52,202+6,共6页
Oil Geophysical Prospecting
基金
中国石油集团公司重大科技专项"长庆油田油气当量上产5000万吨关键技术研究"(2011E-13)资助
关键词
致密薄储层
储层预测
波形分类
分频成像
thin tight reservoir,reservoir prediction,waveform classification,frequency decomposition imaging
