Field-scale modeling of microbially induced calcite precipitation
Field-scale modeling of microbially induced calcite precipitation
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DOI：
10.1007/s10596-018-9797-6
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发表时间：
2019-04-01
影响因子：
2.5
通讯作者：
Hommel, J.
中科院分区：
文献类型：
--
作者：
Cunningham, A. B.;Class, H.;Hommel, J.
被称为微生物诱导方解石沉淀 (MICP) 的生物地球化学过程正在研究用于工程和材料科学应用。为了模拟多孔介质中的 MICP 过程行为，计算模拟器必须耦合流动、传输和相关的生物地球化学反应。必须考虑由于生物量生长和方解石沉淀而导致的介质孔隙度和渗透率的变化，以及它们之间的相互影响。 Ebigbo 等人开发了一个全面的达西尺度模型。 （水资源。Res. 48(7), W07519, 2012）和 Hommel 等人。 （水资源。Res. 51, 3695-3715, 2015）并使用蒙大拿州立大学 (MSU) 生物膜工程中心 (CBE) 的实验室实验系统在不同规模的观察下进行验证。这项研究清楚地表明，不同规模的实验室实验和相应的模拟模型开发之间的密切协同对于将 MICP 应用推进到现场规模是必要的。最终，对位于地表以下 340.8 m 的裂隙砂岩地层的 MICP 封闭进行了模型预测，并与相应的现场观测进行了比较。现场规模的 MICP 建模面临着特殊的挑战，包括选择合理的模型域大小、初始条件和边界条件，以及确定孔隙度和渗透率的初始分布。在本研究中，沉积方解石体积的模型预测与现场 MICP 裂缝密封试验期间注入压力增加的相应现场观察结果一致。结果表明，我们的 MICP 模型的当前状态允许其用于进一步的地下工程应用，包括井眼水泥密封和非常规石油和天然气生产中的某些与裂缝相关的应用。
The biogeochemical process known as microbially induced calcite precipitation (MICP) is being investigated for engineering and material science applications. To model MICP process behavior in porous media, computational simulators must couple flow, transport, and relevant biogeochemical reactions. Changes in media porosity and permeability due to biomass growth and calcite precipitation, as well as their effects on one another must be considered. A comprehensive Darcy-scale model has been developed by Ebigbo et al. (Water Resour. Res. 48(7), W07519, 2012) and Hommel et al. (Water Resour. Res. 51, 3695-3715, 2015) and validated at different scales of observation using laboratory experimental systems at the Center for Biofilm Engineering (CBE), Montana State University (MSU). This investigation clearly demonstrates that a close synergy between laboratory experimentation at different scales and corresponding simulation model development is necessary to advance MICP application to the field scale. Ultimately, model predictions of MICP sealing of a fractured sandstone formation, located 340.8 m below ground surface, were made and compared with corresponding field observations. Modeling MICP at the field scale poses special challenges, including choosing a reasonable model-domain size, initial and boundary conditions, and determining the initial distribution of porosity and permeability. In the presented study, model predictions of deposited calcite volume agree favorably with corresponding field observations of increased injection pressure during the MICP fracture sealing test in the field. Results indicate that the current status of our MICP model now allows its use for further subsurface engineering applications, including well-bore cement sealing and certain fracture-related applications in unconventional oil and gas production.