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The impacts of dual-porosity aquifers on Aquifer Storage Recovery (ASR) schemes

机译:双孔隙度含水层对含水层储存恢复(ASR)方案的影响

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Dual porosity formations, such as the Cretaceous Chalk, can be prolific aquifers and have the potential to store large volumes of artificially recharged potable water. The unique characteristic of these aquifers is the large volume of effectively immobile pore water stored in the rock matrix (up to 40percent porosity) and the relatively small volume of mobile water stored in fractures (1 to 2percent porosity). Diffusive mixing of the fracture water and pore water does occur however, so the quality of the native pore water impacts on the quality of the water recovered subsequent to injection and storage. The SWIFT/486 model was used to investigate the relative significance of diffusive and dispersive mixing. The diffusive mixing process was shown to have a significant deleterious effect on the quality of the recovered water after a period of storage. This would not happen if only dispersive processes are significant. A good fit between measured and modelled data for non-reactive solutes gave confidence that the diffusive model adequately describes the significant transport properties of the chalk aquifer. If the native groundwater contains solutes at unacceptable concentrations then large volumes of injected water need to the invested to create a buffer zone within which an operational scheme can be used. Water-water and water-rock geochemical reactions, both detrimental and beneficial, are not considered here and need to be monitored and modelled separately and, if possible, linked to the predictive operational scenarios.
机译:双孔隙率形成,如白垩纪粉笔,可以是多产的含水层,并且有可能存储大量的人工充电的饮用水。这些含水层的独特特征是储存在岩石基质(最多40平方孔隙)中的大量有效的固定孔隙水和储存在骨折中的相对较小的移动水(1至2孔隙率)。然而,裂缝水和孔隙水的漫射混合确实发生,因此天然孔隙水的质量对注射和储存后回收的水的质量。 SWIFT / 486模型用于研究扩散和分散混合的相对意义。显示扩散混合过程对储存期后对回收水的质量具有显着的有害影响。如果只有分散过程很重要,这不会发生这种情况。对于非反应性溶质的测量和建模数据之间的良好恰当地对扩散模型充分描述了粉笔含水层的显着运输性能。如果本地地下水在不可接受浓度下含有溶质,则大量的注入水需要投资以在其中使用可操作方案的缓冲区。这里不考虑水 - 水和水岩地球化学反应,无论是有害和有益的,都不再考虑,并且需要单独监测和建模,并且如果可能的话,与预测的操作场景相关联。

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