苏里格气田低渗透砂岩岩性气藏多波地震勘探技术
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摘要
鄂尔多斯盆地苏里格气田是典型的低渗、低压、低丰度"三低"气田,二叠系下石盒子组盒8段砂体纵向相互叠置,横向复合连片,有效储层相对较薄、气水关系较复杂。针对以上地质问题开展多波地震处理及流体检测技术研究,重点进行了转换波静校正、速度分析、纵横波一致性处理等多波处理关键技术研究,提高了多波地震资料的成像精度;创新应用多波联合叠前同时反演、多波AVO分析、岩石弹性参数交会等技术,获得了更加准确的弹性参数体,降低了单一纵波储层预测的多解性。由于采用独立变量的两种弹性参数交会寻找储层的异常响应,比单一地震参数预测可提高对储层异常的分辨率,因此,提高了岩性和流体检测的精度,使有效储层(指气层、含气层累计厚度)预测的符合率到80%以上,在苏里格气田勘探和开发井位部署中应用效果显著,为苏里格气田大规模的提交储量和有效开发提供了重要的技术支撑。
Sulige gas field is a typical low-permeability, low-pressure and low-abundance gas field in Ordos Basin. The sand bodies of the He-8 Member of the Lower Permian Shihezi Formation are vertically overlaid and horizontally linked up. The effective layers are relatively thin with the water-gas relations complicated. The technological research is focused on multi-wave seismic processing and fl uid detection in the light of the above-stated issues. A number of key multi-wave processing technologies are emphasized in the study, such as static correction of conversion wave, velocity analysis, and P and S wave consistency processing, improving imaging precision of multi-wave seismic data. Meanwhile, multi-wave joint pre-stack simultaneous inversion, multi-wave AVO analysis, and rock elastic parameter crossplot are applied in a creative way to acquire more accurate elastic parameters and reduce the multi-description of reservoir prediction by use of only P wave. Based on crossplot of two independent elastic parameters to identify abnormal response, the resolution of reservoir is improved as compared to the prediction by using a single seismic parameter. As a result, the accuracy of lothologic and fl uid detection is improved, enabling the coincidence rate of predicting effective reservoirs(referring to gas-bearing layers and accumulated thickness of gas-bearing layers) to exceed 80 percent. Remarkable achievements have been made in application of this technology for deployment of well location in exploration and development of Sulige Gas Field. It also provides a technological support for large-scale and effective development of the gas field.
引文
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