ESTIRJ Volume 7, Issue1  MAR, 2023

Paper 1: OPTIMUM PRODUCTION DESIGN SYSTEM FOR MULTIZONE WELL (1-7)

Abstract: Well completion is when a well, designed for production or injection, has been completed. It is mainly concerned with developing the bottom of the borehole to suitable conditions, which can be operated in a production tube and connected downhole tools. The production of the multizone well may be derived from one or two string tubing, but depending on the pressure difference, depths and liquids contained in the formation it is possible to use multiple strings. This study is primarily based on the ideal well completion model for multi-zone wells (single string and dual string) in the TAL block region of XYZ field, which includes various formations having different pressures. The well produces 4 zones (multi-tiered wells) & the completion is being designed with successful PROSPER software after which episodes of single-string multi-zone and dual-string multi-zone completions are assayed, showing superior performance and being economically feasible. This research focuses on choosing a powerful completion for a multi-zone well (single or dual string completion) that requires significantly less maintenance, which is economically appreciated by Exploration & Production companies. Consequently, it is necessary to plan each step before installation of completion. This research will choose which method (single-string or dual-string) are appropriate in lieu of multi-zone completion & from which completion, the excess production will come.

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Paper 2: VARIABLE ON-TIME CONTROL SCHEME TO IMPROVE THE EFFICIENCY FOR AC-DC INTEGRATED BUCK /BOOST CONVERTER(8-13)

Abstract: The critical conduction mode buck converter is a good topology due to it providing features such as protection against short circuits, low output-voltage at high input-voltage, low inrush-current, low voltage gain ratio gives small output-voltage ripple. However due to dead zone, its input power factor is low. The power factor can be made higher by introducing boost converter to work with buck converter at the time of dead zone. Though, when the on time of the switch is constant due to operation in traditional control technique (TCT), its efficiency is low. Due to the large peak and rms values of the inductor current, there are significant conduction and switching losses, which are the main cause of the low efficiency. This publication presents a variable on-time control strategy that reduces peak current values and thus improves performance. The proposed study focuses on the critical conduction mode integrated buck-boost (CRMIBB) converter. The main contribution of the paper is that it requires only feed-forward circuits in buck switch as compared to other research work to improve the efficiency of the CRM buck converter. Using SABER SIMULATOR, a comparison of the proposed control technique (PCT) and the traditional control technique (TCT) is achieved to confirm the efficiency of the PCT. The efficiency of the (CRMIBB) converter is found to be enhanced by (PCT) in comparison to TCT.

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Paper 3: PERFORMANCE ANALYSIS OF GREEN HOUSE MONITORING SYSTEM USING ZIGBEE TECHNOLOGY (14-19)

Abstract: : This study investigates the effectiveness of a greenhouse monitoring system that employs Wireless Sensor Network (WSN) technology, specifically Zigbee-based devices. The system is simulated using the OPNET Network Simulator, with a focus on enhancing transmission power and evaluating the impact of additional sensor nodes on network performance. Four distinct network configurations were created, each with varying numbers of sensor nodes, and performance was evaluated by assessing network load, throughput, packets sent and received, and packet loss. The simulation results indicate that the optimal performance in terms of transmitted/received packets and packet loss is achieved when the transmission power is in the range of 0.05mW to 0.8mW, while the poorest performance is observed when the transmission power is less than 0.05mW or greater than 0.01mW. The increase in the number of sensor nodes leads to improved network performance, with the best results being seen in the configuration with 63 sensor nodes. However, packet loss remains relatively consistent at around 12%.

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