کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
5146236 | 1497348 | 2017 | 6 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
A new combined solution model to predict water cut in water flooding hydrocarbon reservoirs
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
شیمی
الکتروشیمی
پیش نمایش صفحه اول مقاله
چکیده انگلیسی
Oil production prediction model and water flooding characteristic curves are generally applied to production performance analysis. However, these two methods have some limitations especially in predicting water cut. Growth model can predict oil production and cumulative oil production, but it cannot predict water cut. Water flooding characteristic curves can predict water cut and cumulative oil production, but it cannot establish the relationship between production indexes and time. The Morgan-Mercer-Flodin (MMF) growth model is a kind of production prediction model. This study analyzed features of MMF growth model, then Hu-Chen (HC) model was deduced on the base of MMF growth model. Theoretical basis of HC model was improved and solution of parameters was simplified. Then combining it with water flooding characteristic curve, a new combined solution model was built. This new combined solution model can predict water cut versus time and it overcame deficiencies of production prediction model and water flooding characteristic curves. The applications of field case selected from the Block-A in Daqing Oilfield indicated that the prediction accuracy of this new combining model can meet the demand of production performance analysis and it can guide the determination and adjustment of the development programs in water flooding hydrocarbon reservoirs. It has features of higher prediction accuracy, easier to use and widely practicable compared with other combined models.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: International Journal of Hydrogen Energy - Volume 42, Issue 29, 20 July 2017, Pages 18685-18690
Journal: International Journal of Hydrogen Energy - Volume 42, Issue 29, 20 July 2017, Pages 18685-18690
نویسندگان
Peng Liu, Zhenbao Mu, Wenhuan Wang, Pengcheng Liu, Mingqiang Hao, Jie Liu,