综合应用地震属性、测井数据反演储层参数

英文篇名：Inversion of reservoir parameters by integrative application of seismic attribution and logging data.
中文刊名：石油地球物理勘探
英文刊名：Oil Geophysical Prospecting
作者：宋维琪 ; 王小马 ; 杜玉民 ; 付金华
英文作者：Song Weiqi ; Wang Xiaoma ; Du Yumin and Fu Jinhua.Institute of Geo Resource and Information ; China Petroleum University (East China) ; Dongying City ; Shandong Province ; 257051 ; China
中文关键词：样点地震属性 ; 小波分析 ; BP神经网络 ; 反演声波时差 ; 孔隙率
英文关键词：sample based seismic attribution ; wavelet analysis ; BP neural networks ; inverted time difference ; porosity
出版日期：2002-10-15
机构：石油大学(华东)地球资源与信息学院 ,石油大学(华东)地球资源与信息学院 ,胜利油田临盘采油厂 ,胜利油田临盘采油厂
年：2002
期：05
出版单位：石油地球物理勘探

摘要

宋维琪 ,王小马 ,杜玉民 ,付金华 .综合应用地震属性、测井数据反演储层参数 .石油地球物理勘探 .2 0 0 2 ,37(5 ) :4 91～ 4 94　　本文研究了样点地震属性的特征提取 ,利用 BP神经网络建立测井声波时差和地震属性的非线性映射关系。采用距离加权平均对研究区所有井的反演结果进行外推。为了提高分辨率和计算结果的准确性 ,详细分析、研究了适合于地震信号分解和重构的小波 ,以及测井声波时差和地震波阻抗与层界面的关系。最后 ,对反演的声波时差资料进行界面影响校正 ,进而计算出较符合实际情况的孔隙率参数。经已知井和新钻井验证 ,计算结果和实际情况相一致 ,效果令人满意。
The paper studied the character detection of sample based seismic attribution,established non linear mapping relation between time difference of sonic log (Δt) and seismic attribution by using BP neural networks.The inversion data for all well of studied area have been extrapolated by distant weighted averaging.The wavelet suitable for seismic signal decomposition and reconstruction has been studied and analyzed in detail in order to improve the resolution and the correctness of results.The paper also studied the changing relations of logging delta time and seismic impedance vs formation interface.Finally,the paper made correction of interface influence for inverted time difference and calculated the porosity parameter with higher resolution and as consistent with real situation.The calculated results are consistent with real situation and have satisfied effects after proving by known wells and new drillings.

引文

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