Bayesian geological and geophysical data fusion for the construction and uncertainty quantification of 3D geological models
Bayesian geological and geophysical data fusion for the construction and uncertainty quantification of 3D geological models
复制标题
用于 3D 地质模型构建和不确定性量化的贝叶斯地质和地球物理数据融合
DOI：
10.5194/se-2019-4
复制
发表时间：
2019
影响因子：
8.9
通讯作者：
R. Müller
中科院分区：
文献类型：
--
作者：
H. Olierook;R. Scalzo;D. Kohn;Rohitash Chandra;E. Farahbakhsh;G. Houseman;C. Clark;S. Reddy;R. Müller
抽象的。开发 3D 地质模型的传统方法采用定量和定性科学技术的结合，这些技术不能完全量化所构建模型中的不确定性，也无法针对地球物理数据的约束对地质现场观测进行最佳加权。在这里，我们演示了一种贝叶斯方法，将地质现场观测与航空磁力和重力数据相融合，以在西澳大利亚加斯科因省 13.5 × 13.5 公里的地区构建强大的 3D 模型。通过将模型结果与西澳大利亚地质调查局制作的独立约束地质图和横截面进行比较，验证了我们的方法。通过将地质现场数据与磁学和重力测量相融合，我们表明 89% 的建模区域具有 >95% 的确定性。地质单元之间的边界具有狭窄区域的特点
Abstract. Traditional approaches to develop 3D geological models employ a mix of quantitative and qualitative scientific techniques, which do not fully provide quantification of uncertainty in the constructed models and fail to optimally weight geological field observations against constraints from geophysical data. Here, we demonstrate a Bayesian methodology to fuse geological field observations with aeromagnetic and gravity data to build robust 3D models in a 13.5 × 13.5 km region of the Gascoyne Province, Western Australia. Our approach is validated by comparing model results to independently-constrained geological maps and cross-sections produced by the Geological Survey of Western Australia. By fusing geological field data with magnetics and gravity surveys, we show that at 89 % of the modelled region has > 95 % certainty. The boundaries between geological units are characterized by narrow regions with
利用蒙特卡罗方法分析医用直线加速器X射线物理特性构建辐射源模型
DOI：
--
发表时间：
2008
期刊：
影响因子：
--
作者：
椋本宜学;手島昭樹;他
通讯作者：
他