Multi-threshold de-noising of electrical imaging logging data based on the wavelet packet transform
文献类型：期刊论文
| 作者 | Xie, Fang1; Xiao, Chengwen2; Liu, Ruilin1; Zhang, Lili3 |
| 刊名 | JOURNAL OF GEOPHYSICS AND ENGINEERING
 |
| 出版日期 | 2017-08-01 |
| 卷号 | 14期号:4页码:900-908 |
| 关键词 | wavelet packet transform multi-threshold de-noising electric imaging logging data fractured-vuggy carbonatite reservoir |
| ISSN号 | 1742-2132 |
| DOI | 10.1088/1742-2140/aa6ad3 |
| 文献子类 | Article |
| 英文摘要 | A key problem of effectiveness evaluation for fractured-vuggy carbonatite reservoir is how to accurately extract fracture and vug information from electrical imaging logging data. Drill bits quaked during drilling and resulted in rugged surfaces of borehole walls and thus conductivity fluctuations in electrical imaging logging data. The occurrence of the conductivity fluctuations (formation background noise) directly affects the fracture/vug information extraction and reservoir effectiveness evaluation. We present a multi-threshold de-noising method based on wavelet packet transform to eliminate the influence of rugged borehole walls. The noise is present as fluctuations in button-electrode conductivity curves and as pockmarked responses in electrical imaging logging static images. The noise has responses in various scales and frequency ranges and has low conductivity compared with fractures or vugs. Our de-noising method is to decompose the data into coefficients with wavelet packet transform on a quadratic spline basis, then shrink high-frequency wavelet packet coefficients in different resolutions with minimax threshold and hard-threshold function, and finally reconstruct the thresholded coefficients. We use electrical imaging logging data collected from fractured-vuggy Ordovician carbonatite reservoir in Tarim Basin to verify the validity of the multi-threshold de-noising method. Segmentation results and extracted parameters are shown as well to prove the effectiveness of the de-noising procedure. |
| WOS研究方向 | Geochemistry & Geophysics |
| 语种 | 英语 |
| WOS记录号 | WOS:000409163300009 |
| 出版者 | IOP PUBLISHING LTD |
| 资助机构 | National S&T Major Special Project(2011ZX05020-008) ; National S&T Major Special Project(2011ZX05020-008) ; National S&T Major Special Project(2011ZX05020-008) ; National S&T Major Special Project(2011ZX05020-008) |
| 源URL | [http://ir.iggcas.ac.cn/handle/132A11/61898]  |
| 专题 | 地质与地球物理研究所_中国科学院油气资源研究重点实验室 |
| 通讯作者 | Liu, Ruilin |
| 作者单位 | 1.Yangtze Univ, Geophys & Oil Inst, Wuhan 430100, Hubei, Peoples R China 2.PetroChina, Tarim Oilfield Co, Res Inst Explorat & Dev, Korla 841000, Xinjiang, Peoples R China 3.Chinese Acad Sci, Inst Geol & Geophys, Beijing 100029, Peoples R China |
| 推荐引用方式 GB/T 7714 | Xie, Fang,Xiao, Chengwen,Liu, Ruilin,et al. Multi-threshold de-noising of electrical imaging logging data based on the wavelet packet transform[J]. JOURNAL OF GEOPHYSICS AND ENGINEERING,2017,14(4):900-908. |
| APA | Xie, Fang,Xiao, Chengwen,Liu, Ruilin,&Zhang, Lili.(2017).Multi-threshold de-noising of electrical imaging logging data based on the wavelet packet transform.JOURNAL OF GEOPHYSICS AND ENGINEERING,14(4),900-908. |
| MLA | Xie, Fang,et al."Multi-threshold de-noising of electrical imaging logging data based on the wavelet packet transform".JOURNAL OF GEOPHYSICS AND ENGINEERING 14.4(2017):900-908. |
入库方式： OAI收割
来源：地质与地球物理研究所
浏览0
下载0
收藏0
其他版本
除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。