Analysis of stochastic velocity field modeling uncertainty for variable-velocity mapping

被引：0

作者：

Yue Y. ^{[1
]}

Liu C. ^{[1
]}

Wen X. ^{[2
]}

Zhang X. ^{[1
]}

机构：

[1] School of Geosciences, China University of Petroleum (East China), Qingdao, 266580, Shandong

[2] Shenzhen Branch, CNOOC Ltd, Guangzhou, 510240, Guangdong

来源：

Shiyou Diqiu Wuli Kantan/Oil Geophysical Prospecting | 2016年 / 51卷 / 04期

关键词：

Probability field simulation; Sequential Gaussian simulation; Stochastic modeling; Uncertainty analysis; Variable-velocity mapping;

D O I：

10.13810/j.cnki.issn.1000-7210.2016.04.012

中图分类号：

学科分类号：

摘要：

Deterministic methods used in velocity modeling and variable-velocity mapping cannot be used to characterize uncertainty of depth structure maps, and the reliability of these methods cannot be directly evaluated. Therefore, a stochastic velocity modeling method based on the theory of stochastic simulation is put forward to analyze probability field simulation and sequential Gauss simulation. Statistical analysis on the uncertainty of multiple realizations obtained by stochastic simulation is carried out. Application tests show that there is no velocity difference at conditional data points in the space, and velocity at non-conditional data points is uncertain. Velocity field uncertainty obtained by sequential Gauss simulation is smaller than that obtained by probability field simulation. © 2016, Editorial Department OIL GEOPHYSICAL PROSPECTING. All right reserved.

引用

页码：714 / 720

页数：6

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