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基于地震数据构造曲率属性预测裂缝
引用本文:金维浚,马珊珊,张丽莉,颜丹平,何登发. 基于地震数据构造曲率属性预测裂缝[J]. 地质科学, 2019, 54(2): 345-355. DOI: 10.12017/dzkx.2019.021
作者姓名:金维浚  马珊珊  张丽莉  颜丹平  何登发
作者单位:中国科学院地质与地球物理研究所 北京 100029;中国科学院地球科学研究院 北京 100029;汉能控股集团有限公司 北京 100107;中国地质大学(北京)北京 100083;中国地质大学(北京)北京 100083
基金项目:国家重点研发计划;国家自然科学基金
摘    要:为了有效预测岩层裂缝发育与分布,利用新疆准噶尔盆地南缘霍尔果斯背斜在纵弯变形作用下地震数据构造曲率属性进行了分析,并在此基础上进行了裂缝预测。具体方法是:利用petrel软件分析研究区的地震数据,追踪主要层面和断层并提取目标层面曲率和建立构造模型;考虑层面曲率对裂缝预测的局限性,通过“蚂蚁追踪”进一步提取目标层三维曲率属性而提取裂缝分布规律,将提取的裂缝与构造模型相结合。实例表明,上述方法可以简单、高效、全面地预测裂缝发育与分布,因此具有较强的实用性。

关 键 词:地震数据  曲率属性  蚂蚁追踪  裂缝预测  准噶尔盆地南缘
收稿时间:2018-05-20

Fracture prediction based on structural curvature attribute of seismic data
Jin Weijun Ma Shanshan Zhang Lili Yan Danping He Dengfa. Fracture prediction based on structural curvature attribute of seismic data[J]. Chinese Journal of Geology, 2019, 54(2): 345-355. DOI: 10.12017/dzkx.2019.021
Authors:Jin Weijun Ma Shanshan Zhang Lili Yan Danping He Dengfa
Affiliation:Institute of Geology and Geophysics, Chinese Academy of Sciences, Beijing  100029;Hanergy Holding Group Limited, Beijing  100107;China University of Geoscience (Beijing), Beijing  10083;Institutions of Earth Science, Chinese Academy of Geosciences, Beijing  100029
Abstract:In order to predict the development and distribution of fractures effectively, the paper focuses on fractures prediction based on the structural curvature attribute of seismic data deformed on the longitudinal fold in Huerguoshi anticline of southern Junggar Basin in Xinjiang Province. The seismic data is used to track the stratigraphy and faults, to establish structure model and extract plane curvature used by Petrel software. Because of the limitation of plane curvature for fracture prediction, the “ant tracking” is used to extract the fractures based on identifying of the 3D curvature attribute. Living example in the paper proves that these methods can be used to predict the development and distribution of fractures simply, efficiently and comprehensively, and are of strong practicability.
Keywords:Seismic data  Curvature attribute  Ant track  Fracture prediction  Southern Junggar Basin
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