Acta Scientiarum Naturalium Universitatis Pekinensis

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Seismic Attribute Recognition and Sedimentology Analyses of Slump Fan in Maoxing Region, Songliao Basin

LIU Qiongyao1,2, WU Chaodong1,2, HU Tianyue2, MO Wuling1,2, ZHANG Shun3, LIU Huaqing4, SU Mingjun4   

  1. 1. The Key Laboratory of Orogenic Belts and Crustal Evolution MOE, Peking University, Beijing 100871; 2. Institute of Oil and Gas,Peking University, Beijing 100871; 3. Research Institute of Petroleum Exploration and Development, Daqing Oil Field Company, Daqing 163712; 4. Petrochina Research Institute of Petroleum Exploration and Development-Northwest, Lanzhou 730020;
  • Received:2013-03-30 Online:2014-05-20 Published:2014-05-20

松辽盆地茂兴地区滑塌扇地震属性识别与沉积学分析

柳琼瑶1,2,吴朝东1,2,胡天跃2,莫午零1,2,张顺3,刘化清4,苏明军4   

  1. 1. 北京大学造山带与地壳演化教育部重点实验室, 北京100871; 2. 北京大学石油与天然气研究中心, 北京 100871; 3. 大庆油田有限责任公司勘探开发研究院, 大庆163712; 4. 中石油勘探开发研究院西北分院, 兰州730020;

Abstract: By extracting different kinds of seismic attributes, the characteristics of these attributes were analyzed and 8 kinds of attributes that were sensitive to recognize the slump fan were obtained, including the average absolute amplitude attribute, the total absolute amplitude attribute, the maximum absolute amplitude attribute, the maximum trough amplitude attribute, the average energy attribute, the RMS amplitude attribute, the average reflect strength attribute and the arc length attribute, among which the maximum trough amplitude attribute was the best. Combined with the seismic and well profiles, the sedimentary characteristics and the spatial distribution laws of the slump fan of the member 2, 3 of Nenjiang Formation in Maoxing region were preliminarily revealed. The slump fan of Maoxing region is deposited on the front delta facies and has the provenance from the delta deposit which has a northeast direction. It can be distinguished into seven single fans and a single fan covers an area range of 2.8-7.0 km2.

Key words: Nenjiang Formation, slump fan, seismic attribute, seismic sedimentology

摘要: 通过提取不同类型地震属性, 分析不同属性切片的特征, 得到8种能够识别滑塌扇体的敏感属性, 包括振幅统计类的平均绝对值属性、总绝对值属性、最大绝对值属性、最大谷值属性、平均能量属性、均方根属性, 复地震道统计类的平均反射强度属性, 以及频谱统计类的弧长属性, 其中最大谷值振幅属性最为有效。结合地震剖面和钻井联井剖面沉积学分析, 初步揭示了茂兴地区嫩江组二、三段滑塌扇体的沉积特征及其空间分布规律。茂兴地区滑塌扇沉积于前三角洲相, 可区分为7个单体扇体, 单个扇体面积分布范围为2.8~7.0 km2, 滑塌扇物源来自呈北东方向的三角洲沉积。

关键词: 嫩江组, 滑塌扇体, 地震属性, 地震沉积学

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