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The target injection determination is one of the major issues in waterflooding management. The study resulted in a fully automatic approach to the waterflooding management via the block analysis based on continuously updated hydrodynamic models. The authors propose an automated workflow that provides a closed cycle for waterflooding management: from estimation of target voidage replacement ratio (VRR) per blocks, calculation of recommended well injection rates and monitoring of the plan implementation on optimum VRR per blocks. The paper describes a new approach to key two problems arising from the analysis of waterflooding block performance: the identification of block boundaries with minimum cross-flows between blocks and the correct production / injection allocation (distribution) for wells located on the blocks boundaries. A real-field example, demonstrating the application of the proposed technique, includes the construction of a three-dimensional hydrodynamic model, automatically updated on a monthly basis using actual production / injection data with the streamline map generation. After that, also automatically, the adjustment of waterflooding block boundaries takes place (with the indication of poor drainage areas), with calculation of well allocation factors. The data derived are used in waterflooding performance analysis and block ranking based on a given set of parameters.

Many experts admit a big gap between reservoir simulation and daily management of oil and gas fields. Because only a limited number of specialists can use the results of modeling and models get out of date quickly. The necessity to reduce access and update time has driven to development of a Live Model concept. It will reduce the gap between modeling and practical oil and gas field management.The targets of Live Model concept are:• use models as interactive means of teaching;• make models available to everyone, everywhere, anytime;• build updating and monitoring tools for models. In accordance with Live Model concept we developed web-system which enables to perform model monitoring and analysis of reservoir simulation results. Using this tool any specialist by means of a web-browser can do the following:• make analysis of dynamics well data;• make maps, streamlines visualization;• estimate the quality of the models history matching;• create and calculate a simple model. This web-system can act as an integral part of corporate information-engineering portal. Then we have opportunity to use dynamic production data, which is stored in corporate database, and automatically update Live Models. The interaction of web-system for models monitoring and analysis with the corporate database and models accessibility helps the oil and gas companies to use modeling results in the process of decision-making more efficiently. Another crucial factor is the opportunity to employ Live Models as training aids, which significantly reduces learning curve and increases the quality of training.

Summary The Samotlor field developed by TNK-BP is the largest oilfield in Russia. The first oil in the Samotlor field was produced in the 1960s. Today, the operating production well stock exceeds 8700, most of them equipped with ESP. At fields with such a high number of wells, every minute there are thousands of events that should be correctly processed to make a correct control decision. Efficient production requires prompt data, fast processing of that data and an appropriate response. By introducing an integrated real-time production monitoring, analysis and control system it is possible to eliminate the process gaps and improve cost-efficiency. To introduce the production optimization process in real time, a three-phase multidisciplinary project was initiated: (1) installation of the submersible telemetry transducers at the ESP's and data transfer to the workstations; (2) implementation of the well remote control function; (3) implementation of the real-time production monitoring system. During the first phase, 60% of the wells were equipped with the submersible telemetry transducers, 100% of data was transferred to the SCADA. Implementation of the second phase resulted in creating the functions of the ESP remote control. These functions were implemented in the SCADA software, which enables the ESP start up, shutdown, frequency variation and change of the key operation parameters. During the third phase, a real-time production monitoring analytical system was implemented based on the exception criteria. During the fourth phase of the project, the approaches implemented for the production well stock will be extended to the surface facilities (oil processing facilities, reservoir pressure maintenance system), injection well stock, pipelines, which will be one more step in the implementation of the intelligent field concept. For mature fields, such as Samotlor, efficient operation is extremely important. The use of the real-time production optimization process allows for improvement of profitability and extension of field life. This approach is especially relevant in the development of Arctic oilfields as it allows for streamlined control of production process with minimum personnel directly on site.

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