Surrogate-assisted Bayesian inversion of fracture network parameters from elastic waves

This record provides the tabular dataset used in the analyses reported in the manuscript “Surrogate-Assisted Bayesian Inference of Fracture Network Parameters from Elastic Waves: A Sensitivity-Guided Approach” Files data_waves.csv: A single comma-separated values (CSV) file containing wave-transport metrics and associated fracture-network parameters for all simulated cases. Columns (6) power_law: power-law exponent of the fracture length distribution (a) density: fracture density (d) percolation: percolation parameter (p) kappa: dimensionless fracture stiffness parameter used in the numerical experiments Qinv: inverse quality factor derived from the simulations E: transmitted energy metric derived from the simulations Notes: The dataset contains derived metrics used for sensitivity analysis, surrogate modeling, and Bayesian inversion; it does not include full wavefield time series.本数据集为论文《基于弹性波的断裂网络参数代理辅助贝叶斯推断：一种灵敏度引导方法》（Surrogate-Assisted Bayesian Inference of Fracture Network Parameters from Elastic Waves: A Sensitivity-Guided Approach）中各项分析所用的表格型数据集。 文件 data_waves.csv：单个逗号分隔值（Comma-Separated Values，CSV）文件，包含所有模拟工况下的波传播度量指标及对应的断裂网络参数。 共包含6列： power_law：断裂长度分布的幂律指数（对应参数a） density：断裂密度（对应参数d） percolation：渗流参数（对应参数p） kappa：数值实验中使用的无量纲断裂刚度参数 Qinv：模拟所得的品质因数倒数 E：模拟所得的透射能量度量指标 备注：本数据集包含用于灵敏度分析、代理建模（surrogate modeling）及贝叶斯反演（Bayesian inversion）的衍生度量指标，未包含完整波场时间序列。