引用本文:
【打印本页】   【下载PDF全文】   查看/发表评论  【EndNote】   【RefMan】   【BibTex】
←前一篇|后一篇→ 过刊浏览    高级检索
本文已被:浏览次   下载 本文二维码信息
码上扫一扫!
分享到: 微信 更多
Sequence framework in Xiazijie formation of Permian in Wu-xia area of Junggar Basin
YANG Huai-yu1,CHEN Shi-yue1,LIU Ji-shan2,YANG Jun-sheng1
(1. Faculty of Geo-Resource and Information in China University of Petroleum, Dongying 257061,Shandong Province, China;2. Research Institute of Petroleum Exploration and Development of Xinjiang Oilfeild,Karamay 834000, Xinjiang, China)
Abstract:
Thick Xiazijie formation is characterized by concealed trap in Wu-xia area of Junggar Basin. The seismic reflection characteristic of seismic data shows indistinctly, and identification of sequence boundary is difficult. By using the principle and the method of classic sequence stratigraphy and the data of seismic, drilling and well logging, sequence boundary was confirmed in virtue of seismic time-frequency analysis and logging continuous wavelet cycle theory. On the basis of log and seismic combined calibration, spreading feature and system tract composition of different sequences were analyzed, and the sequence framework in Xiazijie formation of Permian in Wu-xia area of Junggar Basin was established. The results show that seismic time-frequency analysis and logging continuous wavelet transformation are relatively credible to division of sequence cycle. Xiazijie formation in Permian develops four isochronous sequence boundaries and is divided into three third class sequences by the technology. Analyzing the information in stratum by the instrument of seismic time-frequency analysis can improve the quantificational level of sedimentary cycle. Wavelet transformation has the virtue of transformable scale, which has the important function of distilling well's sedimentary cycle and identifing the same sediment, and its function of magnifying and dwindling lends itself to identify different class sequence body.
Key words:  Junggar Basin  Xiazijie formation  time-frequency analysis  continuous wavelet transformation  sequence framework