AVO烃类检测技术在黑帝庙层气藏描述评价中的应用

长垣南部油田黑帝庙层较为发育,埋深300-500m,研究中油气检测精度低是困扰储层预测的一个难题。20世纪80年代初期,随着现代化地震采集和资料处理技术的发展,AVO技术的应用逐渐展开。AV0(Amplitude Versus 0ffset)技术是继亮点技术以后又一项利用地震资料进行气藏识别和检测的地震技术,其利用叠前CDP道集,分析振幅随偏移距的变化规律,估算界面泊松比,推断地层岩性和含油气情况;利用AVO的截距和梯度剖面反演出的纵波和横波阻抗剖面,可计算出Vp/Vs、波松比、流体因子和岩性变化,沙泥岩百分比以及孔隙度等,直接进行烃类检测,具有较高的准确性。为了有效评价黑帝庙油层发育情况,针对三维采集资料品质较高、目的层埋深较浅的特点,开展重点区域的AVO烃类检测研究,为长垣南部油田黑帝庙层的勘探开发工作开提供技术支持。

裂缝性储层AVO检测方法综述

涉及裂缝检测方法研究的内容很广泛,从裂缝的弹性理论到裂缝的定量解释,国内外都有研究。从国内外各向异性的研究现状出发,总结了目前裂缝性储层检测的主要方法,重点阐述了纵波AVO检测裂缝性储层的理论基础和实用方法。纵波的AVO属性,尤其是方位AVO属性、井孔或VSP和井间地震的转换波属性,对检测裂缝发育程度具有较好的敏感性。

Application of 3D AVO Interpretation Technique to Lithological Reservoir in the Hongze Area

In the Hongze Area, the reservoirs vary rapidly laterally and are controlled by many factors, such as structure, lithology, oil source, and so on. S-wave well log curves are calculated from an equation derived from multiple-attribute regression analysis of RT, DT, GR, and DEN logs. Representative P-and S-wave velocities and Poisson＇s ratio are statistically computed for oil and water bearing reservoir rock, shale, and calcareous shale in each well. The averaged values are used for AVO forward modeling. Comparing the modeling results with actual seismic data limit the possible AVO interpretations. Well and seismic data are used to calibrate inverted P-wave, S-wave, Poisson＇s ratio, and AVO gradient attribute data sets. AVO gradient data is used for lithofacies interpretation, P-wave data is used for acoustic impedance inversion, S-wave data is used for elastic impedance, and Poisson＇s ratio data is used for detecting oil and gas. The reservoir and hydrocarbon detections are carried out sequentially. We demonstrate that the AVO attributes method can efficiently predict reservoir and hydrocarbon potential.

浅层气探测及其海洋工程响应

本文根据作者多年来在海洋工程勘察及其资料解释的经验，对浅层天然气的探测和资料处理及其对海上工程的影响做了总结性论述。提出了探测浅层气的具体措施和防范灾害性天气的可行性建议，对海上施工、海上建筑和防灾减灾具有重要意义。