کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
496416 862859 2012 11 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Nonlinear model identification and adaptive control of CO2 sequestration process in saline aquifers using artificial neural networks
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر نرم افزارهای علوم کامپیوتر
پیش نمایش صفحه اول مقاله
Nonlinear model identification and adaptive control of CO2 sequestration process in saline aquifers using artificial neural networks
چکیده انگلیسی

In recent years, storage of carbon dioxide (CO2) in saline aquifers has gained intensive research interest. The implementation, however, requires further research studies to ensure it is safe and secure operation. The primary objective is to secure the CO2 which relies on a leak-proof formation. Reservoir pressure is a key aspect for assessment of the cap rock integrity. This work presents a new pressure control methodology based on a nonlinear model predictive control (NMPC) scheme to diminishing risk of carbon dioxide (CO2) back leakage to the atmosphere due to a fail in the integrity of the formation cap rock. The CO2 sequestration process in saline aquifers is simulated using ECLIPSE-100 as black oil reservoir simulator while the proposed control scheme is realized in MATLAB software package to prevent over-pressurization. A modified form of growing and pruning radial basis function (MGAP-RBF) neural network model is identified online for prediction of reservoir pressure behaviors. MGAP-RBF is recursively trained via extended Kalman filter (EKF) and unscented Kalman filter (UKF) algorithms. A set of miscellaneous test scenarios has been conducted using an interface program to exchange ECLIPSE and MATLAB in order to demonstrate the capabilities of the proposed methodology in guiding saline aquifer to follow some desired time-dependent pressure profiles during the CO2 injection process.

Figure optionsDownload as PowerPoint slideHighlights
► A new pressure control methodology based on NMPC scheme is presented for CO2 sequestration process.
► Back leakage risk due to a fail in the integrity of the formation cap rock is diminished as a pressure control result.
► It is concluded that to have long term storage, servo control scheme is preferred to the regulatory control.
► The CO2 sequestration process is simulated in ECLIPSE-100 reservoir simulator.
► Reservoir pressure is identified using MGAP-RBF methodology based on EKF and UKF parameter adaptations.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Applied Soft Computing - Volume 12, Issue 11, November 2012, Pages 3379–3389
نویسندگان
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