地震波形在致密砂岩储层孔隙度预测中的应用

Porosity prediction for tight sandstone reservoir by seismic waveform

王飞腾¹ 王志章² 赵永军¹ 张静¹ 赵凯¹ 李汉林¹

中国石油大学（华东）地球科学与技术学院，山东 青岛 266580 中国石油大学（北京）地球科学学院，北京 102249

College of Geosciences and Technology, China University of Petroleum, Qingdao 266580, China College of Geosciences, China University of Petroleum, Beijing 102249, China

致密砂岩储层通常具有低孔、低渗、连通性差、非均质性强的特点，采用传统的波阻抗反演等方法研究，效果难以令人满意。为此，文中提出地震波形参数的概念，通过引入地震波形参数，对地震波的形态进行精细刻画；在此基础上，计算波形参数和孔隙度的相关系数，进而研究孔隙度与地震波形之间的关系；同时依据波形参数及BP神经网络算法进行孔隙度预测，为储层地震预测提供一种新的研究思路。

With characteristics of low porosity, low permeability, poor connectivity and serious heterogeneity of tight sandstone reservoirs, the porosity result isn′t satisfactory by using wave impedance inversion method. Therefore, the concept of seismic waveform parameters is proposed in this article for accurate description of seismic waveform. Calculating the correlation coefficient between waveform parameters and porosity, the relationship between porosity and the seismic waveform is studied. Porosity based on BP neural network algorithm and seismic waveform parameters is predicted simultaneously, which provides a new way for reservoir prediction.

10.6056/dkyqt201504005