地球物理学进展 ›› 2021, Vol. 36 ›› Issue (2): 559-564.doi: 10.6038/pg2021EE0163

• 应用地球物理学Ⅰ(油气及金属矿产地球物理勘探) • 上一篇    下一篇

基于地震属性融合技术的火山通道识别研究

曹磊(), 蔡峰   

  1. 中国石油化工股份有限公司东北石油分公司储层预测团队,长春 130062
  • 收稿日期:2020-06-16 修回日期:2020-11-12 出版日期:2021-04-20 发布日期:2021-05-09
  • 作者简介:曹磊,男,1982年生,2009年6月毕业于吉林大学地球探测与信息技术专业,硕士研究生,副研究员,长期从事地震正演、地震属性及反演等储层预测工作.E-mail: caol.dbsj@sinopec.com
  • 基金资助:
    中国石油化工股份有限公司重点科技项目“松南断陷火山岩气藏分布规律及关键技术”(P19027-5)

Recognition research of volcanic conduit based on seismic attribute fusion technology

CAO Lei(), CAI Feng   

  1. Reservoir and Fluid Prediction Group of Northeast Petroleum Branch of Sinopec, Changchun 130062, China
  • Received:2020-06-16 Revised:2020-11-12 Online:2021-04-20 Published:2021-05-09

摘要:

长岭龙凤山火山岩为多机构、多期次喷发叠合分布的一套火山岩地层,火山通道识别是成藏分析和油气运移等研究工作的基础,同时也影响储量计算和开发井的部署.针对深层地震资料品质较差,且难以对火山通道进行准确刻画的问题,开展针对火山通道的地震属性优选.该地区火山岩具有“低频强振幅”的特点,通过地震属性优选,提取10 Hz单频体、纹理对比属性和最大振幅地震属性,平面上采用三者RGB融合方法识别并落实火山通道边界,剖面上采用10 Hz单频体、纹理对比属性和地震数据体三者HSV融合突出火山通道纵向展布.通过地震属性融合在碎屑岩里识别强振幅,在火山岩里识别低频能量,在一定程度上抑制其他岩相的影响,最终实现长岭龙凤山地区火山通道的准确刻画.

关键词: 火山通道, 地震属性, RGB融合, HSV融合

Abstract:

Longfengshan volcanic rock in Changling is a set of volcanic rock strata with multiple mechanisms and multiple eruptions. The recognition of volcanic conduit is the basis of reservoir forming analysis and oil-gas migration, and also affects the calculation of reserves and the deployment of development wells. Carry out seismic attribute optimization for volcanic conduit,because of the low quality of seismic data and the difficulty in accurately depicting the volcanic conduit. Volcanic rocks have the characteristics of “low-frequency and high-amplitude”, so as to extract 10 Hz single frequency body, texture contrast attribute and maximum amplitude seismic attribute. On the plan, RGB fusion method is used to identify and implement the boundary of volcanic conduit. On the section, HSV fusion of 10 Hz single frequency volume, texture contrast attribute and seismic data volume is used to highlight the vertical distribution of volcanic channel. Through the fusion of seismic attributes to identify high-amplitude in clastic rocks and low-frequency energy in volcanic rocks, the influence of other lithofacies can be restrained, so as to achieve the accurate characterization of volcanic conduit in Longfengshan Gasfield in Changling.

Key words: Volcanic conduit, Seismic attribute, RGB fusion, HSV fusion

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