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Estimating CO_2 Residual Trapping from a Single-Well Test: Experimental Design Calculations

机译:估计单井测试中的CO_2剩余诱捕:实验设计计算

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Keywords: Single-well test; residual CO_2 saturation; geologic carbon sequestration Residual trapping is one of the four trapping mechanisms that have been identified for geological CO_2 storage, a means to reduce atmospheric emissions and the related impacts as a result of continued use of fossil fuels. The objective of this research is to design a single-well injection with drawal test to estimate residual CO_2 trapping (S_(gr)) in brine aquifers. Due to the high cost associated with drilling to depths of potential CO_2 storage site, single-well test can cost-effectively provide data sets to assess reservoir properties and reduce uncertainties in the appraisal phase for finding commercial scale storage sites. The main challenges in the design are the following: (1) It is difficult to quantify the amount that is trapped using a mass balance approach; (2) correlations among various parameters leads to a highly uncertain or non-unique S_(gr) estimate; and (3) the S_(gr) estimate could be biased due to heterogeneity of the geological medium. We have proposed our design to address each of these challenges by (1) use a detailed reservoir model to simulate the relevant physical processes in the tests; (2) perform a test sequence that yields multiple types of complementary data to constrain the estimate of S_(gr); (3) remove or reduce the bias caused by the heterogeneity of the storage formation by repeating the same test under different saturation conditions. The design will be applied to a practical field test that will be carried out as part of the CO_2CRC Otway Project, at Victoria Australia.
机译:关键词:单井测试;残余CO_2饱和度;地质固碳残余俘获是已经被识别为地质CO_2存储四个捕获机制,以减少大气排放和相关影响,作为继续使用化石燃料的结果的手段之一。此研究的目的是设计一种单阱注入消沉测试在盐水含水层以估计残留CO_2捕集(S_(GR))。由于钻井潜在CO_2存储网站的深度相关的成本较高,单井测试可以经济有效地提供数据集,以评估油藏特性,并减少在评估阶段的不确定性寻找商业规模的存放地点。在设计中的主要挑战是以下情况:(1)它是难以量化,其使用质量平衡方法捕集的量; (2)各种参数通向高度不确定或非唯一S_(GR)估计之间的相关性;和(3)S_(GR)估计可能被偏置由于地质介质的异质性。我们提出了我们的设计以解决每个这些挑战(1)采用精细油藏模型模拟测试相关的物理过程; (2)执行测试序列产量多种类型的补充数据的约束S_(GR)的估计; (3)除去或通过重复不同的饱和条件下在相同的测试降低由存储形成的异质性的偏差。该设计将应用于将要进行的各项CO_2CRC奥特威项目的一部分,在澳大利亚维多利亚州一个实际的现场测试。

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