论文标题
使用微生物诱导的方解石沉淀的注射策略的现场尺度优化用于缓解泄漏的策略
Field-scale optimization of injection strategies for leakage mitigation using microbially induced calcite precipitation
论文作者
论文摘要
在现场尺度应用微生物诱导的方解石沉淀（MICP）中，用于密封泄漏路径的优化过程，并将其应用于Co $ _2 $存储。该过程利用了在行业标准模拟器开放多孔介质（OPM）流中实现的最近开发的现场尺度MICP数学模型。使用基于集合的优化（ENOPT）算法解决了优化问题，其中定义了目标函数，以便在最短可能的MICP操作时间中最大化方解石沉淀。开发了一种注射策略，以有效地在泄漏路径内和周围产生方解石，并避免堵塞水库的不必要区域，例如近孔区域。注射策略包括在单独的井段中联合注入生长和胶结溶液，以在具有初始注入阶段的泄漏路径中建立生物膜后启动MICP工艺。优化过程应用于三个合成CO $ _2 $泄漏方案。数值结果表明，在所有情况下，在保持总MICP操作时间较低的同时，有效地密封了泄漏路径。
An optimization procedure for sealing leakage paths in field-scale application of microbially induced calcite precipitation (MICP) is develop and applied to CO$_2$ storage. The procedure utilizes a recently developed field-scale MICP mathematical model implemented in the industry-standard simulator Open Porous Media (OPM) Flow. The optimization problem is solved using the ensemble-based optimization (EnOpt) algorithm where the objective function is defined such that maximizing calcite precipitation is done in the shortest possible MICP operational time. An injection strategy is developed to efficiently produce calcite in and around the leakage paths, and to avoid clogging unwanted areas of the reservoir, e.g., the near-well area. The injection strategy consists of combined injection of growth and cementation solutions in separate well segments to initiate the MICP process after establishing a biofilm in the leakage paths with an initial injection phase. The optimization procedure is applied to three synthetic CO$_2$ leakage scenarios. The numerical results show that the leakage paths in all scenarios are effectively sealed while keeping the total MICP operational time low.
