Noise suppression using preconditioned least-squares prestack time migration: application to the Mississippian limestone
文献类型：期刊论文
| 作者 | Guo, Shiguang1; Zhang, Bo2; Wang, Qing3; Cabrales-Vargas, Alejandro4; Marfurt, Kurt J.1 |
| 刊名 | JOURNAL OF GEOPHYSICS AND ENGINEERING
 |
| 出版日期 | 2016-08-01 |
| 卷号 | 13期号:4页码:441-453 |
| 关键词 | Noise Suppression Migration Conjugate Gradient Method Footprint |
| DOI | 10.1088/1742-2132/13/4/441 |
| 文献子类 | Article |
| 英文摘要 | Conventional Kirchhoff migration often suffers from artifacts such as aliasing and acquisition footprint, which come from sub-optimal seismic acquisition. The footprint can mask faults and fractures, while aliased noise can focus into false coherent events which affect interpretation and contaminate amplitude variation with offset, amplitude variation with azimuth and elastic inversion. Preconditioned least-squares migration minimizes these artifacts. We implement least-squares migration by minimizing the difference between the original data and the modeled demigrated data using an iterative conjugate gradient scheme. Unpreconditioned least-squares migration better estimates the subsurface amplitude, but does not suppress aliasing. In this work, we precondition the results by applying a 3D prestack structure-oriented LUM (lower-upper-middle) filter to each common offset and common azimuth gather at each iteration. The preconditioning algorithm not only suppresses aliasing of both signal and noise, but also improves the convergence rate. We apply the new preconditioned least-squares migration to the Marmousi model and demonstrate how it can improve the seismic image compared with conventional migration, and then apply it to one survey acquired over a new resource play in the Mid-Continent, USA. The acquisition footprint from the targets is attenuated and the signal to noise ratio is enhanced. To demonstrate the impact on interpretation, we generate a suite of seismic attributes to image the Mississippian limestone, and show that the karst-enhanced fractures in the Mississippian limestone can be better illuminated. |
| WOS研究方向 | Geochemistry & Geophysics |
| 语种 | 英语 |
| WOS记录号 | WOS:000384024600002 |
| 资助机构 | Attribute-Assisted Seismic Processing and Interpretation Consortium (AASPI) ; Attribute-Assisted Seismic Processing and Interpretation Consortium (AASPI) ; Attribute-Assisted Seismic Processing and Interpretation Consortium (AASPI) ; Attribute-Assisted Seismic Processing and Interpretation Consortium (AASPI) |
| 源URL | [http://ir.iggcas.ac.cn/handle/132A11/53346]  |
| 专题 | 地质与地球物理研究所_其他部门 |
| 作者单位 | 1.Univ Oklahoma, ConocoPhillips Sch Geol & Geophys, Norman, OK 73019 USA 2.Univ Alabama, Dept Geol Sci, Tuscaloosa, AL 35487 USA 3.Chinese Acad Sci, Inst Geol & Geophys, Beijing 100029, Peoples R China 4.Stanford Univ, Sch Earth Energy & Environm Sci, Stanford, CA 94305 USA |
| 推荐引用方式 GB/T 7714 | Guo, Shiguang,Zhang, Bo,Wang, Qing,et al. Noise suppression using preconditioned least-squares prestack time migration: application to the Mississippian limestone[J]. JOURNAL OF GEOPHYSICS AND ENGINEERING,2016,13(4):441-453. |
| APA | Guo, Shiguang,Zhang, Bo,Wang, Qing,Cabrales-Vargas, Alejandro,&Marfurt, Kurt J..(2016).Noise suppression using preconditioned least-squares prestack time migration: application to the Mississippian limestone.JOURNAL OF GEOPHYSICS AND ENGINEERING,13(4),441-453. |
| MLA | Guo, Shiguang,et al."Noise suppression using preconditioned least-squares prestack time migration: application to the Mississippian limestone".JOURNAL OF GEOPHYSICS AND ENGINEERING 13.4(2016):441-453. |
入库方式： OAI收割
来源：地质与地球物理研究所
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