›› 2018, Vol. 39 ›› Issue (6): 1-1.doi: 10.7657/XJPG20180619

• 论文 •    

塔河油田S48井区流体多波属性综合预测

杨子川1,陶磊2,李海英1,于光明3,张红英4   

  1. (1.中国石化 西北油田分公司 勘探开发研究院,乌鲁木齐 830011;2.中国地质大学 地球物理与信息技术学院,北京 100083;3.北京多分量地震技术研究院,北京 100029;4.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)
  • 出版日期:2019-01-01 发布日期:1905-07-19

Comprehensive Fluid Prediction with Multi-Wave Attribute Seismic Technology in Wellblock S48, Tahe Oilfield

YANG Zichuan1, TAO Lei2, LI Haiying1, YU Guangming3, ZHANG Hongying4   

  1. (1.Research Institute of Exploration and Development, Northwest Oilfield Company, Sinopec, Urumqi, Xinjiang 830011, China; 2.School of Geophysics and Information Technology, China University of Geoscience, Beijing 100083, China; 3. Research Institute of Multi-Component Seismic Technology, Beijing 100029, China; 4.Research and Development Center, BGP, CNPC, Zhuozhou, Hebei 072751,China)
  • Online:2019-01-01 Published:1905-07-19

摘要: 随着地震各向异性理论的发展,多波地震技术在储集层流体检测上发挥着越来越重要的作用;相比常规纵波,多分量地震中纵波与转换波信息的获取为提高储集层流体预测精度提供了可能性。结合塔河油田S48井区采集的三维三分量地震数据,针对碳酸盐岩缝洞型储集层开展了纵横波速度比、泊松比、弱度比、拉梅常数及密度分析等多波属性地震流体预测。与常规纵波频谱分析技术相比,多波联合预测技术提高了储集层预测精度及油气识别精度,能够减少常规纵波预测流体的不确定性。

Abstract: With the development of the seismic anisotropy theory, the multi-wave technology plays an increasingly important role in the reservoir fluid detection. Compared with longitudinal waves, the acquisition of longitudinal waves and transverse waves in multi-component seismic provides the possibility of improving the prediction accuracy of reservoir fluid. Based on the 3D 3-component seismic data gathered from Wellblock S48 in Tahe oilfield and regarding the fractured-vuggy carbonate reservoirs, the analyses on vp/vs, Poisson’s ratio, weakness ratio and inversed parameters, Lame Constant and density are carried out and fluid prediction is performed by using multi-wave attribute seismic technology. Compared with conventional P-wave frequency spectrum analysis technique, the multi-wave seismic prediction technology can improve the accuracies of reservoir prediction and hydrocarbon identification, and reduce the uncertainties of conventional P-wave fluid prediction method

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