基于模型正演的研究区砂体识别方法研究
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摘要
利用地震属性对无井区的二维地震资料进行储层预测会产生不确定性,为此提出了一种有效方法,即利用邻区钻测井等地质资料及研究区的地震资料建立地质模型进行正演分析。该方法主要是根据二维地震资料以及邻区岩石物理参数利用褶积方法建立正演模型以及合成正演记录,并利用正演的地震记录对地震属性进行优选,进而对地震数据体进行重新处理得到新的剖面属性,从而达到识别研究区砂体的目的。用该方法优选的属性对实际地震数据进行处理预测了砂体的分布范围,正演结果以及地震数据处理属性剖面与实际地震资料符合较好。
The uncertainty of the reservoir prediction was induced in 2D data processing in non-well blocks by using seismic attributes.Therefore an effective method was put forward,of which the geologic data of drilling and logging in the adjacent areas were used to establish a geological model.Based on 2D seismic data and petro-physical data from adjacent areas,a convolution method was used for establishing a geologic model for carrying out synthetic forward seismogram.It was used to optimize the attributes,and the data were reprocessed for the purpose of obtaining new attributes to recognize the sandbody in the studied area.The optimized attributes are used to process the actual data for predicting sandbody distribution range.Therefore the study result and the processed attribute profile are consistent with the actual data.
引文
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