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首页> 外文期刊>International Journal of Greenhouse Gas Control >Application of crosswell seismic tomography using difference analysis with data normalization to monitor CO_2 flooding in an aquifer
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Application of crosswell seismic tomography using difference analysis with data normalization to monitor CO_2 flooding in an aquifer

机译：差分分析与数据归一化在井间地震层析成像中监测含水层中CO_2的应用

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A pilot-scale experiment for carbon dioxide (CO_2) sequestration was undertaken at the Nagaoka test field in Japan. Time-lapse crosswell seismic tomography was conducted to detect and monitor the movement of CO_2 injected into an aquifer. We applied difference analysis with data normalization (DADN) to the time-lapse data to eliminate false images that were apparent in a conventionally processed difference section. Conventional difference analysis calculates travel-time delays after inversion, whereas the DADN method calculates them from raw travel-time records before inversion. Thus, fewer errors are generated with the DADN method compared to a conventional inversion analysis. We applied the DADN method to time-lapse tomography data recorded beforeand after the injection of CO_2 and computed the velocity variation in a subsurface section, which clearly showed the distribution of CO_2 flooding within a high permeability zone in the aquifer and showed no CO_2 leakage into the caprock. Our results also show the maximum velocity decrease as a result of CO_2 injection was about 9%, which is close to the results obtained in laboratory experiments. Finally, numerical simulations were inverted to test the effectiveness of the conventional and DADN methods in dealing with noise. These tests showed that the DADN method effectively reduces unique coherent noise for particular receiver and source combinations. We concluded that the DADN method provides useful data for monitoring the flow of CO_2 sequestered in underground aquifers.
机译：在日本的长冈试验场进行了封存二氧化碳（CO_2）的中试规模的实验。进行了延时井间地震层析成像，以检测和监测注入含水层中的CO_2的运动。我们将具有数据标准化（DADN）的差异分析应用于延时数据，以消除在常规处理的差异部分中显而易见的虚假图像。常规差异分析计算反演后的旅行时间延迟，而DADN方法根据反演前的原始旅行时间记录计算它们。因此，与常规反演分析相比，使用DADN方法生成的错误更少。我们将DADN方法应用于在注入CO_2之前和之后记录的延时断层扫描数据，并计算了地下部分的速度变化，这清楚地表明了CO_2驱替在含水层高渗透率区内的分布，并且没有CO_2泄漏到地下。翻盖。我们的结果还表明，由于注入CO_2而导致的最大速度下降约为9％，这与实验室实验所获得的结果接近。最后，数值模拟被倒转以测试常规方法和DADN方法在处理噪声方面的有效性。这些测试表明，DADN方法可有效降低特定接收器和源组合的独特相干噪声。我们得出的结论是，DADN方法为监测隔离在地下含水层中的CO_2流量提供了有用的数据。

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