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Kalman filter is a set of mathematical equations that provide an efficient and recursive calculation of the means to estimate the state of a process, in a way that minimizes the average square error. The filter is very powerful in several aspects: supports estimations of past, present, and future states, and it can do so even when the precise nature of the shaped system is unknown. The concept of \"closed loop\" in Reservoir management is currently considered significant in the oil industry. The technique of updating the reservoir model in realtime or continuous is an essential component for applying any \"closed loop\" in the management process of the basic model of the reservoir. This technique should be able to quickly update the reservoir models assimilating the updates of the observations of production in its forecasts and association of uncertainty until the future optimization. Reservoir models have become an important and current part of the analysis for decision in oil and gas reservoir management. These decisions are based on the most current information available on the reservoir model and the uncertainty associated with the information. Based on a series of studies, the Ensemble Kalman Filter (EnKF) method has shown to be suitable for such applications compared to the traditional methods of historical matching (Evenson 1999, Gu and Oliver 2006, Chen 2006). Traditionally, validation of the reservoir models on the production date is performed through a process of historical matching (HM).

Energy efficiency is a priority objective of the research strategy. Particularly, the energy efficiency of the drillingextraction equipment is an issue of high relevance, the decreasing of energy consumption in crude oil extraction being among the objectives of the research strategy in the oilfield equipment. The paper presents a constructive version for a representative high power drawworks part of an oil and gas drilling rig, with recuperative braking, powered by two asynchronous electric motors. By implementing this concept it is estimated that a significant part of domestic hot water consumption at rig location as well as the heating of the radiators belonging to the drilling rig barracks is recovered by the thermal energy produced by the drawworks braking system. The power saving is about 100 kW by recovering thermal energy produced by the two asynchronous electric motors of the high power drawworks.

Energy efficiency is a priority objective of the research strategy. Particularly, the energy efficiency of the drillingextraction equipment is an issue of high relevance, the decreasing of energy consumption in crude oil extraction being among the objectives of the research strategy in the oilfield equipment. The overall objective of this project is to implement borehole-drilling techniques with the step-by-step movement of the fully assembled stationary drilling installation and to carry out, as a case study, a technical project for the F 320 DEA / EA borehole drilling rig. The theme is part of the research and development strategy of modern equipment, in the direction of exploiting natural resources in safety and environmental protection.

EOR thermal processes involve both introducing of warm fluids in oil reservoirs through injection wells and also extraction of warm/cool fluids through production wells. A model that describes the process for heat transfer from the fluids flowing through the well at its contiguous environment, and the calculation of the temperature along the well can be used in various applications of heat transfer aspects, especially when the bottomhole equipment of the well doesn't allow measurement. This paper presents a model that describes the process of the heat transfer from the fluids flowing through the well at the crossed layers. The model is based on mass and energy balance in the assumed conditions. The proposed model can be applied to the beam pumping wells, where the existing equipment in the well does not allow introducing of temperature measurement tools along the well. This temperature profile has various applications, such as: determining the reservoir temperature in the area around the wellbore for elaborating maps of temperature distribution in order to monitor the efficiency of the thermal process, the determination of failures of the bottomhole equipment and so on.