论文详情
拟声波重构技术在巴彦呼舒凹陷储层预测中的应用
断块油气田
2016年 23卷 第03期
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Title
Application of pseudo-acoustic curve reconstruction to reservoir prediction in Bayanhushu Sag
单位
(中国石油大庆油田有限责任公司勘探开发研究院,黑龙江 大庆 163712)
Organization
(Research Institute of Exploration and Development, Daqing Oilfield Company Ltd., PetroChina, Daqing 163712, China)
摘要
巴彦呼舒凹陷地震资料属于典型的低信噪比、低分辨率的地震资料,为了获得精细储层预测的结果,必须对地震资料进行高分辨率处理,以满足后续反演工作的需求。岩石物理分析发现,此地区的主要目的层段(储层)与非储层(围岩)原始波阻抗差异不明显,利用常规波阻抗反演难以区分岩性,不能有效预测有利储层的分布情况。地震资料高分辨率处理、测井曲线标准化之后,利用交会图进行测井曲线敏感性分析;基于频率补偿原理,应用电阻率高频分量和声波曲线的低频分量构建拟声波曲线,用拟声波曲线进行地震反演研究。运用该方法,使该区块反演结果分辨储层及围岩的能力显著增强,砂体的横向展布特征及纵向厚度得到清晰刻画,提高了储层预测的分辨率和精度,有效地指导了勘探生产工作。
Abstract
The seismic data of Bayanhushu Sag belong to the typical low SNR and low resolution data. In order to obtain fine reservoir prediction results, the seismic data must be processed by high resolution processing to meet the needs of the subsequent inversion. Through rock physics analysis, it is difficult to identify lithology using conventional impedance inversion when the differences of wave impedance between reservoir and non reservoir (surrounding rock) are not obvious in the main layer in this area, and the distribution of advantageous reservoir can not be predicted effectively. After seismic data high resolution preprocessing and standardization of well logging curve, using sensitivity analysis method for well logging curve intersection diagram, the principle of frequency compensation, and the application of resistivity of high frequency component and original-acoustic curve of low frequency component to construct pseudo-acoustic curve, seismic inversion is researched by the pseudo acoustic curves. The block inversion result resolution markedly enhances the difference between the reservoir and the surrounding rock; sand body distribution of the horizontal and vertical thickness is depicted clearly, which improves the reservoir prediction of resolution and accuracy and effectively guides the exploration and production.
关键词:
标准化;
敏感性分析;
曲线重构;
地震反演;
储层预测;
Keywords:
standardization;
sensitivity analysis;
curve reconstruction;
seismic inversion;
reservoir prediction;
DOI
10.6056/dkyqt201603008