拟声波曲线重构技术在HQ地区储层反演中的应用
Application of pseudo-acoustic curve reconstruction technique of reservoir inversion in HQ area
张小芳 1李静叶 1李海鹰 1孟阳 1徐红霞 1黄娜1
作者信息
- 1. 中国石油集团东方地球物理勘探有限责任公司 物探技术研究中心,河北 涿州 072751;中油油气勘探软件国家工程研究中心有限公司,北京 100080
- 折叠
摘要
为解决声波测井曲线无法有效区分储层与围岩,以及导致储层预测精度不高的问题,采用一种考虑岩石体积物理模型的曲线加权方法重构声波曲线,通过重构的优势曲线反演预测储层.以HQ地区延安组砂体预测为例,选取反映储层特征较好的孔隙度曲线作为特征曲线,以曲线加权方式求取孔隙流体声波时差,确定岩石骨架声波时差,结合地质统计学反演预测该区砂体的展布规律.结果表明,重构后的波阻抗反演结果能够刻画3m左右薄砂岩储层,与井上实钻数据更加吻合,降低了反演结果的多解性,砂体展布规律更加清晰.该重构方法能在保持原始声波曲线高低频信息的基础上融合其他特征曲线的高频信息,提高分辨储层的能力.
Abstract
This paper aims to address the low reservoir prediction accuracy due to the inability of a-coustic logging curve to distinguish reservoir from surrounding rock effectively.The study is enabled by reconstructing the acoustic curve with a curve weighting method considering the rock volumetric physical model;and predicting the reservoir by using the reconstructed dominant curve;by taking Yanan Forma-tion sandbody prediction in HQ area as an example,selecting the porosity curve with better the reservoir characteristics as the characteristic curve,obtaining the acoustic time difference of pore fluid by curve weighting method;determing the acoustic time difference of rock skeleton;and predicting the distribution law of sandbody by geostatistics inversion.The results show that the reconstructed seismic impedance in-version results can depict the thin sandstone reservoirs with about 3 m′ thickness,more consistent with the actual drilling data from the wells,which reduces the ambiguity of the inversion results and makes the distribution pattern of the sandbodies clearer.This reconstruction method can keep the high and low fre-quency information of the original acoustic curve,and integrate the high frequency information of other characteristic curves to improve the ability of distinguishing reservoirs,which provides important reference for similar reservoir prediction.
关键词
储层预测/波阻抗反演/曲线重构/特征曲线Key words
reservoir prediction/wave impedance inversion/curve reconstruction/characteristic curve引用本文复制引用
出版年
2024
国家科技期刊平台
NSTL
万方数据