• • 上一篇    下一篇

苏里格气田低渗透砂岩岩性气藏多波地震勘探技术

王大兴1,2赵玉华1,2王永刚1,2张盟勃1,2程思检1,2   

  1. 1 中国石油长庆油田公司勘探开发研究院;2 低渗透油气田勘探开发国家工程实验室
  • 出版日期:2015-03-15 发布日期:2015-05-21
  • 作者简介:王大兴(1963-),男,甘肃武威人,博士,2005年毕业于中国科学院地质地球物理所,教授级高级工程师,中国石油天 然气集团公司高级技术专家,主要从事地震储层预测工作。地址:陕西省西安市未央区长庆油田勘探开发研究院,邮政编码:710018。 E-mail:wdx1_cq@petrochina.com.cn
  • 基金资助:
    国家科技重大专项鄂尔多斯盆地大型低渗透岩性地层油气藏开发示范工程(2011ZX05044);中国石油天然气集团公司科技 重大专项长庆5000万吨油气当量关键技术研究(2011E-13)

Multi-wave Seismic Exploration Technology for Lithologic Gas Reservoirs of Low- Permeability Sandstone in Sulige Gas Field

Wang DaXing1,2Zhao Yuhua1,2Wang Yonggang1,2Zhang Mengbo1,2Cheng Sijian1,2   

  1. 1 National Engineering Laboratory of Low-permeability Oil and Gas Field Exploration and Developmen;2 Petroleum Exploration and Development Research Institute of PetroChina Changqing Oil?eld Company
  • Online:2015-03-15 Published:2015-05-21

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。

Abstract: 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 fluid 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 fluid 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.