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...

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...

In the early 1900s, competition among hospitals for interns and among medical students for good internships led to increasingly early offers of internships to students. By the 1940s, appointments were often made as early as the beginning of the junior year of medical school. Hospitals thus had little information about students' performance, and students frequently had to make a final decision t...

   In this paper, a new robust approach based on Least Square Support Vector Machine (LSSVM) as a proxy model is used for an automatic fractured reservoir history matching. The proxy model is made to model the history match objective function (mismatch values) based on the history data of the field. This model is then used to minimize the objective function through Particle Swarm Optimization (...

In this paper; we propose a method for generating realistic shadows of virtual objects inserted into a real video sequence. Our aim is to improve and extend the work of [ I ] , which is based on a static camera, to the case of a video sequence. This extension consists of several procedures: calibration of a moving video camera and a graphic camera, removing false shadows occurring due to a shor...