摘要
在超深层油气勘探过程中,实钻取心成本高、数量少,加之测井曲线多解性强,造成储层岩性组合识别难度大,进而影响了沉积相及储层甜点预测的准确性。介绍了一种基于离散小波变换的碎屑岩储层岩性组合识别方法,在自然伽马曲线小波变换的基础上,利用离散小波分解测井信号,总结了小波时频能量图上不同能量团对应的岩性组合特征。以准噶尔盆地征沙村地区征1井超深层致密砂岩储层为例,通过对泥质含量敏感参数自然伽马曲线进行离散小波变换分析,选用合适的尺度识别不同的岩性组合,结果表明识别的岩性组合与实钻岩心吻合度较高。该方法在同类型储层中具有推广价值。
In the process of ultra-deep oil and gas exploration,it is difficult to identify reservoir lithology combination due to the high cost and small number of real drilling and the strong multi-solution of logging curves,which further affects the accuracy of sedimentary facies and reservoir sweet spot prediction.Based on the wavelet transform of natural gamma curve,the logging signals are decomposed by discrete wavelet,and the characteristics of lithologic combinations corresponding to different energy groups on the time-frequency energy diagram are summarized.Taking the ultra-deep tight sandstone reservoir of Zheng1 well in Zhengshacun area of Junggar basin as an example,through the discrete wavelet transform analysis of natural gamma curve with sensitive parameters of mud content,the identification of different lithologic combinations with appropriate scales is made.This method has the value of popularization in the same type of reservoir.
作者
焦国华
JIAO Guohua(Xinjiang Xinchun Petroleum Development CO.LTD.,SINOPEC,Dongying,Shandong 257017,China)
出处
《测井技术》
CAS
2024年第5期623-630,共8页
Well Logging Technology
基金
国家自然科学基金“成岩流体演化对致密砂岩气藏储层质量的控制作用研究”(41702158)
山东省自然科学基金“浅层砂岩油藏冷冻岩心物性与含油性变化及校正方法研究”(ZR2022MD014)。
关键词
深层油气
离散小波变换
岩性组合识别
自然伽马
小波时频能量图
准噶尔盆地
deep oil and gas
discrete wavelet transform
lithologic association identification
natural gamma
wavelet time-frequency power imaging
Junggar basin
