SBIR Phase I: Predictive Tools for Characterizing Carbon Sequestration in Mined Materials

这个小企业创新研究（SBIR）第一阶段项目的广泛影响，为识别和实现在碳封存项目中使用矿山废石的机会提供了工具。该项目包括必要的研究和发展活动，以便将岩石风化的地球化学观测结果转化为一套全面的工具，供矿业公司描述采矿期间挖掘的地质材料的潜力，以将大气二氧化碳隔离为固体、地质稳定的碳酸盐矿物相。该服务将采用一种新的预测建模工具和一种方法来确定特定地点的数据来参数化模型。拟议的项目将通过一个概念化硅酸盐矿物风化的新框架来表征开采材料的碳封存潜力。目前还没有成熟的工具能够足够精确地描述这种潜力，以优化碳封存岩石储存系统的设计。提出的创新将包括将“收缩核模型”的数学方法新颖地应用到反应输运框架中，以模拟扩散控制的硅酸盐矿物风化和随后的碳酸盐矿物沉淀。该创新还包括一项新的应用，即矿山废物表征测试工作，以确定多矿物组合的特定地点反应动力学，用于模型参数化。研究和发展活动包括风化矿山废物和废物类似物的矿物特征，数学模型开发，以及重新解释已发表和专有的动力学数据。在实验室和现场试验规模上开采材料的风化地球化学数据将由工业界提供。该模型将用于预测在实地试验中发生的封存速率。该模型的预测能力将通过与观测到的碳固存率进行比较来检验。该奖项反映了美国国家科学基金会的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。

The broader impact of this Small Business Innovation Research (SBIR) Phase I project provides tools to identify and realize opportunities to use mine waste rock in carbon sequestration projects. This project encompasses research and development activities necessary to translate observations on the geochemistry of rock weathering into a comprehensive toolset for mining companies to characterize the potential for geologic materials excavated during mining to sequester atmospheric carbon dioxide as solid, geologically stable carbonate mineral phases. The service will employ a novel predictive modelling tool and a method for determining the site-specific data to parameterize the model. The proposed project will characterize the carbon sequestration potential of mined materials through a novel framework for conceptualizing silicate mineral weathering. Currently no established tools characterize this potential with sufficient accuracy to optimize the design of rock storage systems for carbon sequestration. The proposed innovation will include a novel implementation of mathematics of the “shrinking core model” into a reactive transport framework to simulate diffusion-controlled silicate mineral weathering and subsequent carbonate mineral precipitation. The innovation also includes a novel application of mine waste characterization test work to identify site-specific reaction kinetics of multi-mineral assemblages for model parameterization. Research and development activities include mineral characterization of weathered mine waste and waste analogues, mathematical model development, and re-interpretation of published and proprietary kinetic data. Geochemical data on the weathering of mined materials at the lab and field-test scale will be provided by industry. The model will be used to predict the rate of sequestration occurring at the field tests. The predictive skill of the model will be tested via comparison to observed carbon sequestration rates.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.