全部 标题 作者
关键词 摘要

OALib Journal期刊
ISSN: 2333-9721
费用:99美元

查看量下载量

相关文章

更多...

纹理属性分析方法在准噶尔盆地玛湖一区风城组沉积相划分中的应用
Application of Texture Attribute Analysis Method in Sedimentary Division of Fengcheng Formation in Mararea 1 of the Junggar Basin

DOI: 10.12677/AG.2024.142016, PP. 169-176

Keywords: 准噶尔盆地,玛湖一区,风城组,地震相,纹理属性
Junggar Basin
, Mararea 1, Fengcheng Formation, Seismic Phase, Texture Attribute

Full-Text   Cite this paper   Add to My Lib

Abstract:

利用多种地震属性综合分析地震相已成为油气勘探中常用的方法,不同属性在不同区块的应用效果也存在一定的差异,因此需要针对不同研究区的具体情况进行属性优选。本次研究针对准噶尔盆地玛湖一区风城组,综合测井资料和地震资料,采用单属性和纹理属性分析方法,建立玛湖一区沉积相与地震相的对应关系,并探讨玛湖一区风城组地震相划分的最优属性。结果表明,纹理差异性属性和纹理熵属性对于玛湖一区沉积相划分具有较好的指导意义。
The comprehensive analysis of seismic facies using multiple seismic attributes has become a commonly used method in oil and gas exploration. The application effects of different attributes in different blocks also vary, so it is necessary to optimize attributes based on the specific situation of different research areas. This study aims at Fengcheng Formation in Mararea 1 District of the Junggar Basin, and uses single attribute and texture attribute analysis methods to establish the corresponding relationship between sedimentary facies and seismic facies in Mararea 1 District by integrating logging data and seismic data, and discusses the optimal attributes of seismic facies division in Fengcheng Formation in Mararea 1 District. The results indicate that the texture difference attribute and texture entropy attribute have good guiding significance for the classification of sedimentary facies in the Mararea area.

References

[1]  李伟, 岳大力, 胡光义, 等. 分频段地震属性优选及砂体预测方法——秦皇岛32-6油田北区实例[J]. 石油地球物理勘探, 2017, 52(1): 121-130.
[2]  井涌泉, 栾东肖, 张雨晴, 等. 基于地震属性特征的河流相叠置砂岩储层预测方法[J]. 石油地球物理勘探, 2018, 53(5): 1049-1058.
[3]  黄真萍, 王晓华, 王云专. 地震信息的属性参数提取和砂体预测方法[J]. 石油地球物理勘探, 1997, 32(5): 669-682.
[4]  程耀清, 蔡冬梅. 地震相技术应用实例[J]. 石油地球物理勘探, 2007, 42(增刊1): 79-82.
[5]  雷德文, 阿布力米提, 唐勇, 等. 准噶尔盆地玛湖凹陷风城组油气高产区控制因素与分布预测[J]. 新疆石油地质, 2014, 35(5): 495-499.
[6]  朱剑兵, 赵培坤. 国外地震相划分技术研究新进展[J]. 勘探地球物理进展, 2009, 32(3): 167-171.
[7]  阿迪力江阿不都萨拉木, 周路. 奉于连续小波分频纹理属性精确刻画沉积相——以准噶尔盆地五八区块百口泉组为例[J]. 科学技术创新, 2023(3): 58-62.
[8]  胡英, 陈辉, 贺振华, 等. 基于地震纹理属性和模糊聚类划分地震相[J]. 石油地球物理勘探, 2013, 48(1): 114-120.
[9]  Love, P.L. and Simaan, M. (1984) Segmentation of Stacked Seismic Data by the Classification of Image Texture. SEG Technical Program Expanded Abstracts, 3, 480-482.
https://doi.org/10.1190/1.1894051
[10]  Gao, D. (1999) 3DVCM Seismic Textures: A New Technology to Quantify Seismic Interpretation. SEG Technical Program Expanded Abstracts, 18, 1037-1039.
https://doi.org/10.1190/1.1820674
[11]  王治国, 尹成, 雷小兰, 等. 河道纹理属性分析中的灰度共生矩阵参数研究[J]. 石油地球物理勘探, 2012, 47(1): 100-106.
[12]  徐红霞, 沈春光, 李斌, 等. 多属性分析技术在碳酸盐岩断溶体预测中的应用[J]. 石油地球物理勘探, 2017, 52(增刊2): 158-163+8.

Full-Text

comments powered by Disqus

Contact Us

service@oalib.com

QQ:3279437679

WhatsApp +8615387084133

WeChat 1538708413