A matching method for integrating multiscale components to model elastic parameters
文献类型：期刊论文
| 作者 | Han, Feilong1; Zhang, Hongbing1; Guo, Qiang1; Shang, Zuoping2; Li, Tiancai3 |
| 刊名 | EXPLORATION GEOPHYSICS
 |
| 出版日期 | 2019-09-03 |
| 卷号 | 50期号:5页码:532-540 |
| 关键词 | Modelling elastic petrophysics log analysis attributes |
| ISSN号 | 0812-3985 |
| DOI | 10.1080/08123985.2019.1634687 |
| 英文摘要 | Seismic inversion and reservoir identification are complicated problems with integrated data sets and need a velocity or density model to ensure the stability of the results. However, an elastic parameter model, such as velocity or density, is difficult to obtain with high precision by conventional migration or interpolation, especially during the early exploration stage, which contains few available logging data. The kriging method has proved to be an effective technique for mineral exploration and petroleum geophysics, and has led to a series of expansive techniques in earth science. In this paper, we proposed a new matching method, base value compensation (BVC), for integrating multiscale data sets into model elastic parameters. Considering the variety of original information, we used multiple constrain cokriging for three types of data set at different scales. These three data sets come from logging, seismic attributes and sedimentary facies information. The P-wave velocity model is stable and more representative of the subsurface condition, but we found that this method produces few points with anomalous values in the density model. Those abnormal points cause substantial loss of geological detail at sedimentary boundaries. In most modelling methods, this shortcoming is due to the fact that these three input parameters have significantly different properties. The proposed method can effectively solve this problem by matching the input data sets at a similar observational scale before modelling. We demonstrated this method using a case study in the South China Sea. The decrease in abnormal points in the final modelling results verifies the effectiveness of BVC. |
| WOS关键词 | SEISMIC DATA ; RESERVOIR |
| 资助项目 | National Natural Science Foundation of China[41374116] ; National Natural Science Foundation of China[41674113] |
| WOS研究方向 | Geochemistry & Geophysics |
| 语种 | 英语 |
| WOS记录号 | WOS:000481493200001 |
| 出版者 | TAYLOR & FRANCIS LTD |
| 资助机构 | National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China |
| 源URL | [http://ir.iggcas.ac.cn/handle/132A11/93368]  |
| 专题 | 中国科学院地质与地球物理研究所 |
| 通讯作者 | Zhang, Hongbing |
| 作者单位 | 1.Hohai Univ, Coll Earth Sci & Engn, 1 XiKang St, Nanjing 210098, Jiangsu, Peoples R China 2.Hohai Univ, Coll Mech & Mat, Nanjing, Jiangsu, Peoples R China 3.Chinese Acad Sci, Inst Geol & Geophys, Beijing, Peoples R China |
| 推荐引用方式 GB/T 7714 | Han, Feilong,Zhang, Hongbing,Guo, Qiang,et al. A matching method for integrating multiscale components to model elastic parameters[J]. EXPLORATION GEOPHYSICS,2019,50(5):532-540. |
| APA | Han, Feilong,Zhang, Hongbing,Guo, Qiang,Shang, Zuoping,&Li, Tiancai.(2019).A matching method for integrating multiscale components to model elastic parameters.EXPLORATION GEOPHYSICS,50(5),532-540. |
| MLA | Han, Feilong,et al."A matching method for integrating multiscale components to model elastic parameters".EXPLORATION GEOPHYSICS 50.5(2019):532-540. |
入库方式： OAI收割
来源：地质与地球物理研究所
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