Title

Hilbert-Huang transform combined with smoothed pseudo Wigner-Ville time-frequency distribution to identify reservoir fluid properties

单位

(1.长安大学地质工程与测绘学院,陕西西安710054;2.西安科技大学地质与环境学院,陕西西安710054;3.中国石油集团测井有限公司,陕西西安710077;4.中煤科工集团西安研究院有限公司,陕西西安710077)

Organization

(1.College of Geology Engineering and Geomatics,Chang’an University,Xi’an 710054,China;2.College of Geology & Environment,Xi’an University of Science and Technology,Xi’an 710054,China;3.China Petroleum Logging CO.LTD.,Xi’an 710077,China；4.Xi’an Research Institute of China Coal Technology and Engineering Group Corp,Xi’an 710077,China)

摘要

苏里格气田致密砂岩储层具有低孔、低渗、气水关系复杂等特点,利用常规测井资料进行流体识别难度较大。以阵列声波测井资料为基础,利用希尔伯特-黄(Hilbert-Huang)变换联合平滑伪魏格纳(Wigner-Ville)时频分布分别提取阵列声波测井信号的时间边缘和频率边缘特征,并研究与储层流体分布的关系。结果表明：气层和水层在时间边缘和频率边缘分布存在明显差异。在时间边缘分布特征上,气层能量最低,水层能量最高;在频率边缘分布特征上,气层和水层均有一定的频散,且水层能量高于气层能量;储层含气越多,信号衰减越严重。因此利用信号在时间分布和频率分布上的差异可以进行流体性质识别。

Abstract

The tight sandstone reservoirs in Sulige gas field are characterized by low porosity and low permeability and complicated relationship between gas and water formation,and therefore fluid identification by conventional well logging is difficult.In this paper,we use the Hilbert-Huang transform in combination with smoothed pseudo Wigner-Ville (EMD-SPWV) time-frequency distribution respectively to extract the edge of time and frequency array acoustic logging signal and research fluid distribution in the reservoirs.The results showed that:on gas and water layer,time and frequency marginal distribution exists obvious difference.On the edge of time distribution,energy is the lowest in gas layer and highest in water layer.On the edge of frequency distribution,gas and water layer all have certain dispersion,and water layer energy is higher than gas layer.The higher gas saturation in reservoir,the more serious the signal attenuation.Using this difference we can identify the liquid property.In this paper,the EMD-SPWV time-frequency to identify the liquid property is applied to tight sandstone reservoir in Sulige gas field with good effect.

关键词：

希尔伯特-黄变换; 平滑伪Wigner-Ville分布; 阵列声波测井; 时频分析; 流体识别;

Keywords:

Hilbert-Huang transform,; smoothed pseudo Wigner-Ville distribution,; array acoustic logging,; time-frequency analysis,; logging interpretation for complicated reservoir;

基金项目

中央高校基本科研业务费专项资金(310826161014,310826161021)资助。

DOI

10.3969/j.issn.1000-1441.2016.06.010

Hilbert-Huang变换联合平滑伪Wigner-Ville时频分布识别储层流体性质