A Cox Rate-and-State Model for Monitoring Seismic Hazard in the Groningen Gas Field [0.03%]
格罗宁根天然气田地震灾害监测的Cox速率和状态模型
Z Baki,M N M van Lieshout
Z Baki
To monitor the seismic hazard in the Groningen gas field, this paper modifies the rate-and-state model that relates changes in pore pressure to induced seismic hazard by allowing for noise in pore pressure measurements and by explicitly tak...
Identifying Important Pairwise Logratios in Compositional Data with Sparse Principal Component Analysis [0.03%]
基于稀疏主成分分析的 compositional 数据中重要成对对数比的识别
Viktorie Nesrstová,Ines Wilms,Karel Hron et al.
Viktorie Nesrstová et al.
Compositional data are characterized by the fact that their elemental information is contained in simple pairwise logratios of the parts that constitute the composition. While pairwise logratios are typically easy to interpret, the number o...
Space-Time Distribution of Trichloroethylene Groundwater Concentrations: Geostatistical Modeling and Visualization [0.03%]
三氯乙烯地下水浓度的时空分布：地质统计模型与可视化
Pierre Goovaerts,Alexa Rihana-Abdallah,Yuncong Pang
Pierre Goovaerts
This paper describes a geostatistical approach to model and visualize the space-time distribution of groundwater contaminants. It is illustrated using data from one of the world's largest plume of trichloroethylene (TCE) contamination, exte...
Solving Geophysical Inversion Problems with Intractable Likelihoods: Linearized Gaussian Approximations Versus the Correlated Pseudo-marginal Method [0.03%]
解决具有难以处理的可能性的地球物理反演问题：线性化高斯近似与相关伪边缘方法
Lea Friedli,Niklas Linde
Lea Friedli
A geophysical Bayesian inversion problem may target the posterior distribution of geological or hydrogeological parameters given geophysical data. To account for the scatter in the petrophysical relationship linking the target parameters to...
Sebastian Avalos,Julian M Ortiz,R Mohan Srivastava
Sebastian Avalos
Tom Manzocchi,Deirdre A Walsh,Marcus Carneiro et al.
Tom Manzocchi et al.
Simple object- or pixel-based facies models use facies proportions as the constraining input parameter to be honored in the output model. The resultant interconnectivity of the facies bodies is an unconstrained output property of the modell...
Tom Manzocchi,Deirdre A Walsh
Tom Manzocchi
Equations describing facies proportions and amalgamation ratios are derived for randomly placed objects belonging to two or three foreground facies embedded in a background facies, as a function of the volume fractions and object thicknesse...
Amir Abbas Haji Abolhassani,Roussos Dimitrakopoulos,Frank P Ferrie et al.
Amir Abbas Haji Abolhassani et al.
A new non-stationary, high-order sequential simulation method is presented herein, aiming to accommodate complex curvilinear patterns when modelling non-Gaussian, spatially distributed and variant attributes of natural phenomena. The propos...
Training Image Free High-Order Stochastic Simulation Based on Aggregated Kernel Statistics [0.03%]
基于聚合核统计的无训练图像高阶随机模拟技术
Lingqing Yao,Roussos Dimitrakopoulos,Michel Gamache
Lingqing Yao
A training image free, high-order sequential simulation method is proposed herein, which is based on the efficient inference of high-order spatial statistics from the available sample data. A statistical learning framework in kernel space i...
Klaus Nordhausen,Gregor Fischer,Peter Filzmoser
Klaus Nordhausen
Many geological phenomena are regularly measured over time to follow developments and changes. For many of these phenomena, the absolute values are not of interest, but rather the relative information, which means that the data are composit...