摘要
五维地震解释技术在裂缝预测和流体识别中发挥了重要作用。道集数据是开展五维地震解释的基础,为了解决五维地震道集存在的各向异性时差、优势频率和信噪比低等问题,提高道集数据质量,提出了高分辨率五维地震道集优化处理技术。通过建立道集去噪、道集提频、时差校正、方位角道集优化以及高精度井震标定定量优化处理参数等技术流程,提高了五维道集数据的分辨率、信噪比和保真度。胜利油田牛庄地区实际OVT资料的应用结果表明,该技术优化处理后同相轴连续性好,地层接触关系更清楚,分辨率明显提高,地震主频由25 Hz提高到43 Hz,优势频带由8~51 Hz拓宽到6~74 Hz;同时,井震相关系数也由0.75提高到0.90。利用处理后的数据精细描述砂体面积43.8 km 2,部署井位3口,实现了该区预测储量升级。实践结果表明,高分辨率五维道集优化处理技术能够充分挖掘五维地震数据的潜力,为后续的叠前反演和储层预测等工作奠定了基础。
Five dimensional(5D)seismic interpretation plays an important role in fracture prediction and fluid identification.Gather quality is the basis of 5D interpretation.To address the issues of anisotropic moveout,low dominant frequency,and low signal-to-noise ratio,a portfolio of techniques,including gather denoising,resolution enhancement,residual moveout correction,azimuth gather conditioning,and high-precision well-tie calibration,are established for 5D high-resolution gather conditioning to improve the resolution,signal-to-noise ratio,and fidelity of 5D gathers.As per the case study of OVT data processing in Niuzhuang area,the Bohai Bay Basin in eastern China,stacked sections show seismic reflections with improved continuity and resolution and clear stratigraphic contacts.Dominant frequency increased from 25 to 43 Hz;effective bandwidth expanded from 8~51 to 6~74 Hz;correlation coefficient of well-tie calibration increased from 0.75 to 0.90.Sands of 43.8 km 2 were predicted for the deployment of 3 drilling sites and reserves promotion.The workflow and techniques of 5D high-resolution gather conditioning add value to 5D seismic data for subsequent prestack inversion,fracture detection,and reservoir characterization.
作者
朱剑兵
韩宏伟
李红梅
ZHU Jianbing;HAN Hongwei;LI Hongmei(Geophysical Research Institute of Shengli Oilfield Branch,Sinopec,Dongying 257022,China;Shengli Oilfield Branch,Sinopec,Dongying 257022,China)
出处
《石油物探》
CSCD
北大核心
2024年第3期589-597,共9页
Geophysical Prospecting For Petroleum
基金
国家科技重大专项“渤海湾盆地精细勘探关键技术”(2016ZX05006-002)资助。
关键词
五维地震
道集优化
时差校正
道集提频
道集去噪
定量质控
5D seismic
gather conditioning
moveout correction
resolution enhancement
gather denoising
quantitative QC
