A matching method for integrating multiscale components to model elastic parameters

doi:10.1080/08123985.2019.1634687

	A matching method for integrating multiscale components to model elastic parameters
	Han, Feilong 1; Zhang, Hongbing 1; Guo, Qiang 1; Shang, Zuoping 2; Li, Tiancai 3
刊名	EXPLORATION GEOPHYSICS
	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.
资助项目	National Natural Science Foundation of China[41374116] ; National Natural Science Foundation of China[41674113]
WOS关键词	SEISMIC DATA ; RESERVOIR
WOS研究方向	Geochemistry & Geophysics
语种	英语
出版者	TAYLOR & FRANCIS LTD
WOS记录号	WOS:000481493200001
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
内容类型	期刊论文
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.