Generic Aquifer Component Training Dataset

Training dataset for the Generic Aquifer Component of NRAP-Open-IAM. Consists of the results of 62,500 STOMP-CO2 simulations of brine and CO2 leakage of varying rates and salinity into aquifers of varying thickness, depth, porosity, permeability, anisotropy and initial salinity. Described in report https://www.pnnl.gov/main/publications/external/technical_reports/PNNL-32590.pdf

本数据集为NRAP-Open-IAM通用含水层组件的训练数据集，包含62500次STOMP-CO2模拟结果。这些模拟针对厚度、埋深、孔隙度、渗透率、各向异性及初始盐度各不相同的含水层，开展了不同速率与盐度的卤水及二氧化碳泄漏模拟。相关说明详见技术报告https://www.pnnl.gov/main/publications/external/technical_reports/PNNL-32590.pdf

搜集汇总

背景与挑战

背景概述

该数据集是用于NRAP-Open-IAM通用含水层组件的训练数据集，包含62,500次STOMP-CO2模拟结果，模拟了不同泄漏条件下盐水与CO2在多种含水层特性中的行为。数据集覆盖了厚度、深度、孔隙度、渗透率等关键地质参数，适用于研究碳封存中的泄漏风险评估。