西南石油大学学报(自然科学版) ›› 2021, Vol. 43 ›› Issue (3): 51-60.DOI: 10.11885/j.issn.16745086.2019.10.04.01

• 地质勘探 • 上一篇    下一篇

达巴松凸起石炭系火山岩油气勘探技术研究

李宗浩, 王春利, 李卉, 陈静, 王忠泉   

  1. 中国石油新疆油田分公司勘探开发研究院, 新疆 克拉玛依 834000
  • 收稿日期:2019-10-04 发布日期:2021-06-22
  • 通讯作者: 李宗浩,E-mail:lizonghao@petrochina.com.cn
  • 作者简介:李宗浩,1987年生,男,汉族,湖北孝感人,工程师,硕士,主要从事油气地质与勘探研究。E-mail:lizonghao@petrochina.com.cn
    王春利,1964年生,男,汉族,天津蓟县人,高级工程师,主要从事信息处理方面的研究工作。E-mail:xjwcl@petrochina.com.cn
    李卉,1987年生,女,汉族,新疆克拉玛依人,工程师,硕士,主要从事油气勘探地质方面的研究工作。E-mail:lihui77@petrochina.com.cn
    陈静,1981年生,女,汉族,山东济南人,工程师,硕士,主要从事油气勘探方面的研究工作。E-mail:chjing66@petrochina.com.cn
    王忠泉,1979年生,男,汉族,四川南充人,工程师,硕士,主要从事油气勘探地质方面的研究。E-mail:wzhongquan66@petrochina.com.cn
  • 基金资助:
    国家科技重大专项(2016ZX05003-005);中国石油重大科技专项(2017E-0401)

Technology Research of Igneous Reservoir Exploration in Dabasong Uplift

LI Zonghao, WANG Chunli, LI Hui, CHEN Jing, WANG Zhongquan   

  1. Research Institute of Exploration and Development, Xinjiang Oilfield Company, PetroChina, Karamay, Xinjiang 834000, China
  • Received:2019-10-04 Published:2021-06-22

摘要: 准噶尔盆地下组合火山岩发育,受埋深大、构造运动活跃且持续时间长等客观因素影响。研究区深层断裂系统复杂,火山岩体的识别与刻画存在诸多困难。为此,运用GeoEast解释系统提供的构造导向滤波、基于特征结构的相干结合体曲率等技术对断层进行识别;通过已钻井资料与地震相属性结合的方法,明确不同火山岩性地震反射特征,建立研究区火山岩岩相识别模式。利用GeoEast解释系统进行多属性模式识别及波形聚类分析,能够在平面上快速有效预测深层火山岩岩性展布,落实和优选深层火山岩有利勘探目标。明确了研究区全新层系火山岩目标发育,是下一步寻找规模油气藏的重要勘探领域。

关键词: GeoEast解释系统, 断裂识别, 多属性分析, 波形聚类, 火山岩预测

Abstract: The volcanic rocks is development of the lower assemblage in Junggar Basin. Due to some objective factors influence such as deep burial depth, active and lasts long structural movement, many problems exits in the identification and interpretation of the complex faults system and deep volcanic rock body. Therefore, identification of faults using some approaches such as structure oriented filtering, eigenstructure combine with body curvature provide by GeoEast interpretation sub-system platform. Base on drilling data and 3D seismic, defining seismic reflection characteristics of differern volcanic lithology, established recognition model of volcanic facies in the study area. According to the multi-attribute pattern recognition and waveform clustering analysis provided by GeoEast, the lithology distribution of deep volcanic rock can be quickly and efficiently predicted, and favorable exploration targets in deep volcanic rocks are determined and optimized. Makes clear the volcanic target is development of the new layer series in the study area, which is an important exploration area to find large-scale oil and gas reservoirs.

Key words: interpretation sub-system, fault recognition, multi-attribute analysis, waveform clustering, volcanic prediction

中图分类号: