06 اردیبهشت 1403
ابوالحسن رزمي نيا

ابوالحسن رزمی نیا

مرتبه علمی: دانشیار
نشانی: دانشکده مهندسی سیستم های هوشمند و علوم داده - گروه مهندسی برق
تحصیلات: دکترای تخصصی / مهندسی برق
تلفن: 07731222164
دانشکده: دانشکده مهندسی سیستم های هوشمند و علوم داده

مشخصات پژوهش

عنوان A Least Squares Approach to Estimate the Average Reservoir Pressure
نوع پژوهش مقالات در نشریات
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مجله Iranian Journal of Oil and Gas Science and Technology
شناسه DOI
پژوهشگران کامبیز رزمی نیا (نفر اول) ، عبدالنبی هاشمی (نفر دوم) ، ابوالحسن رزمی نیا (نفر سوم)

چکیده

Least squares method (LSM) is an accurate and rapid method for solving some analytical and numerical problems. This method can be used to estimate the average reservoir pressure in well test analysis. In fact, it may be employed to estimate parameters such as permeability (k) and pore volume (Vp). Regarding this point, buildup, drawdown, late transient test data, modified Muskat method, interference test, and other methods are equivalent to a separable least squares problem. The main advantage of LSM in the well testing problems is that the results would be confident and no trial and error is required. Furthermore, the given method requires a short time. The fast rate of convergence and high accuracy of the LSM are demonstrated through two examples. The current study concerns a modified Muskat method. The results of LSM combined with the modified Muskat method are compared with the other iterative and qualitative methods. The preliminary numerical results with both simulated and field data suggest that the method be capable of producing smooth interpretable estimates of reservoir parameters from data.