کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
8124624 | 1522772 | 2018 | 48 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Analytical approach for leakage characterization in carbon sequestration in a bounded deep saline aquifer
ترجمه فارسی عنوان
رویکرد تحلیلی برای مشخص کردن نشت در تجمع کربن در یک آبخوان دشتی عمیق محدود
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کلمات کلیدی
مدل تحلیلی، نرخ نشت، مخزن بسته ذخیره سازی، آبخوان، نظارت خوب،
موضوعات مرتبط
مهندسی و علوم پایه
علوم زمین و سیارات
زمین شناسی اقتصادی
چکیده انگلیسی
One of the promising methods in CO2 sequestration is CO2 injection into deep saline aquifers. A challenging question in CO2 storage in deep saline aquifers is how we can determine the leakage in a storage aquifer if its cap rock does not fully seal it. Among those approaches previously employed, leakage detection by monitoring pressure changes in a monitoring well has gained the most attention recently. In this study, we have developed a new analytical modeling method to monitor pressure changes in monitoring aquifers as a tool for leakage detection. Our developed analytical models are capable for bounded saline aquifers. To eliminate the effect of a size in our modeling, all the developed models are in dimensionless form. Pragmatic sensitivity analyses are performed to determine the effect of different parameters on a dimensionless leakage rate and a pressure change in a monitoring well and a pressure change in a storage aquifer due to both injection and leakage. Based on the results gained, the dimensionless pressure in the monitoring well depends on the well location and the thickness of the monitoring aquifer; however, it is independent of a leak location. The dimensionless pressure change in a storage aquifer highly depends on the dimensionless diffusivity coefficient and the thickness of the storage aquifer; however, it is independent of a leak location.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of Petroleum Science and Engineering - Volume 169, October 2018, Pages 772-784
Journal: Journal of Petroleum Science and Engineering - Volume 169, October 2018, Pages 772-784
نویسندگان
Mohammad Ali Ahmadi, Zhangxing Chen,