The significant increase in using reservoir simulation models poses significant challenges in the design and calibration of models. Moreover, conventional model calibration, history matching, is usually performed using a trial and error process of adjusting model parameters until a satisfactory match is obtained. In addition, history matching is an inverse problem, and hence it may have non-uni...

Constraining reservoir models to available field observation is an important step in reservoir simulation process especially when models aim at further development decision making. In the past two decades, several assisted history-matching methodologies have been proposed to help in the matter (gradient methods, streamlines, etc. Oliver and Chen, 2011). More recently, ensemble based methodologi...

to perform any economic management of a petroleum reservoir in real time, a predictable and/or updateable model of reservoir along with uncertainty estimation ability is required. one relatively recent method is a sequential monte carlo implementation of the kalman filter: the ensemble kalman filter (enkf). the enkf not only estimate uncertain parameters but also provide a recursive estimate of...

many large oil and gas fields in the most productive world regions happen to be fractured. the exploration and development of these reservoirs is a true challenge for many operators. these difficulties are due to uncertainties in geological fracture properties such as aperture, length, connectivity and intensity distribution. to successfully address these challenges, it is paramount to improve ...

background: public interest in assisted reproductive technology (art) has remained high since the birth of the world’s first in vitro fertilization baby, louise brown, in the united kingdom. art allows scientists to manipulate the fertilization process in order to bypass some pathological obstacles such as blocked fallopian tubes and non-functioning ovaries in the females, and blocked vas defer...

History matching is used to constrain flow simulations and reduce uncertainty in forecasts. In this work, we revisited some fundamental engineering tools for predicting waterflooding behavior to better understand the flaws in our simulation and thus find some models which are more accurate with better matching. The Craig-Geffen-Morse (CGM) analytical method was used to predict recovery performa...