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叠前叠后地震多属性反演在牛东潜山油气检测中的应用

秦凤启 王 亚 王孟华 冯小英 邢福松 刘浩强 贾 敬   

  1. 中国石油华北油田公司地球物理勘探研究院,河北省任丘市 062552
  • 出版日期:2014-04-15 发布日期:2014-04-15
  • 作者简介:秦凤启,男,高级工程师,硕士,毕业于中国石油大学(北京)矿产普查与勘探专业,现从事石油地质综合研究工作。 E-mail:wty_qfq@petrochina.com.cn
  • 基金资助:
    中国石油天然气集团公司科学研究与技术开发项目物探重大技术现场试验及集成配套子课题碎屑岩、碳酸盐岩复杂储层预测技术配套与应用研究(2011D-3806)。

Application of Pre-stack and Post-stack Seismic Multi-attribute Inversion for Oil and Gas Inspection of Niudong Buried Hill

Qin Fnegqi, Wang Ya, Wang Menghua, Feng Xiaoying, Xing Fusong, Liu Haoqiang, Jia Jing   

  1. Geophysical Exploration Research Institute of PetroChina Huabei Oilfield Company, Rengqiu City, Hebei Province 062552
  • Online:2014-04-15 Published:2014-04-15

摘要: 冀中坳陷霸县凹陷牛东潜山构造带发现和探明的古潜山油气藏为古生界寒武系碳酸盐岩储层,其储集空 间以孔洞、裂缝为主,物性横向变化较大。针对潜山及潜山内幕碳酸盐岩储层非均质性较强的难点,开展叠前弹性反 演研究,采取叠前弹性阻抗反演技术、AVO 属性分析技术;并结合叠后子波分解与重构技术,预测和刻画储层缝洞 体系的空间分布规律,划分储层发育有利区带,准确预测裂缝发育区、油气富集区。该区实钻结果表明,牛东潜山构 造带碳酸盐岩储层裂缝发育,油气显示良好,证实了碳酸盐岩储层特征预测技术的有效性。

Abstract: The ancient buried hill hydrocarbon reservoir found and proven in Niudong buried hill structural zone in Baxian sag of Jizhong Depression was Cambrian carbonate rock reservoir of Paleozoic erathorn. The reservoir space is mainly composed of vugs and fractures, with the physical property varying horizontally. The study of pre-stack elastic inversion was made in the light of the bottleneck that buried hill and buried hill inner curtain carbonate rock reservoir is has a strong heterogeneity. The pre-stack elastic impedance inversion technology and AVO attribute analysis technology were adopted in combination with post-stack wavelet decomposition and restructure technology to predict and describe the space distribution law of the fracture and vug system of the reservoir, divide the favorable development zones of the reservoir and clarify the fractural development zone and hydrocarbon abundance zone. The drilling results in this region show the carbonate rock reservoir of Niudong buried hill structural zone sees development of fractures with a good prospect for oil and gas, confirming effectiveness of the technology for prediction of characteristics of carbonate rock reservoir.