多分量地震数据矢量保真度分析

Vector-fidelity analysis of multi-components data

中国石化石油勘探开发研究院南京石油物探研究所,江苏南京 210014

Institute of Geophysical Prospecting, SIN-OPEC Research Institute of Petroleum Exploration and Development, Nanjing 210014, China

介绍了矢量保真度分析技术的基本原理。利用VectorSeis数字和普通模拟三分量检波器采集的多分量资料计算了地震波质点偏振的椭圆率和平均互相关误差,并将两类检波器的计算结果进行了对比。对比结果表明,虽然用两类检波器采集的资料计算出直达波的质点振动轨迹都呈线性偏振,但数字检波器线性偏振系数的分辨能力和抗干扰性比普通检波器好,在互相关误差系数上表现得要比模拟检波器小得多,表明数字检波器采集的地震数据矢量保真度优于模拟检波器。在中原油田进行了二维三分量地震勘探试验,得到了较好的PP波和PS波成像资料。

The vector fidelity analysis had been investigated with multi-component data obtained during a recent multi-component test at Zhongyuan oil field of China using VectorSeis sensors. Data analysis methodology, such as polarization and cross-correlation error was calculated and results were compared with those obtained from traditional three-component geophone data. Although the polarization coefficients of the director wave appeared linear polarization on both three-component geophones' seismic data, the resolution and the anti-noise of the polarization coefficient of digital sensors data were better than that of analogous geophones data. The correlation error coefficients of digital sensors data were also lower than that of analogous geophones data. The results showed that vector fidelity response of VectorSeis sensors was demonstrably improved when comparing to the response of traditional three component geophones. This implies better imaging of both P-P and P-S data.