The Experts below are selected from a list of 57804 Experts worldwide ranked by ideXlab platform
Ramchandran Venkatesan - One of the best experts on this subject based on the ideXlab platform.
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Real time risk analysis of kick detection: Testing and Validation
Reliability Engineering & System Safety, 2017Co-Authors: Rakibul Islam, Faisal Khan, Ramchandran VenkatesanAbstract:Abstract Oil and gas development is moving into harsh and remote locations where the highest level of safety is required. A blowout is one of the most feared accidents in oil and gas developments projects. The main objective of this paper is to test and validate the kick detection of blowout risk assessment model using uniquely developed experimental results. Kick detection is a major part of the blowout risk assessment model. The accuracy and timeliness of kick detection are dependent on the monitoring of multiple downhole parameters such as downhole pressure, fluid density, fluid conductivity and mass flow rate. In the present study these four parameters are considered in different logical combinations to assess the occurrence of kick and associated blowout risk. The assessed results are compared against the experimental observations. It is observed that simultaneous monitoring of mass flow rate combined with any one the three parameters provides most reliable detection of kick and potential blowout likelihood. The current work presents the framework for a dynamic risk assessment and management model. Upon success Testing of this approach at the pilot and field levels, this approach could provide a paradigm shift in drilling safety.
Nanning Zheng - One of the best experts on this subject based on the ideXlab platform.
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autonomous vehicle Testing and Validation platform integrated simulation system with hardware in the loop
IEEE Intelligent Vehicles Symposium, 2018Co-Authors: Yu Chen, Shitao Chen, Tangyike Zhang, Songyi Zhang, Nanning ZhengAbstract:With the development of autonomous driving, offline Testing remains an important process allowing low-cost and efficient Validation of vehicle performance and vehicle control algorithms in multiple virtual scenarios. This paper aims to propose a novel simulation platform with hardware in the loop (HIL). This platform comprises of four layers: the vehicle simulation layer, the virtual sensors layer, the virtual environment layer and the Electronic Control Unit (ECU) layer for hardware control. Our platform has attained multiple capabilities: (1) it enables the construction and simulation of kinematic car models, various sensors and virtual Testing fields; (2) it performs a closed-loop evaluation of scene perception, path planning, decision-making and vehicle control algorithms, whilst also having multi-agent interaction system; (3) it further enables rapid migrations of control and decision-making algorithms from the virtual environment to real self-driving cars. In order to verify the effectiveness of our simulation platform, several experiments have been performed with self-defined car models in virtual scenarios of a public road and an open parking lot and the results are substantial.
Saikat Chakrabarti - One of the best experts on this subject based on the ideXlab platform.
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Testing and Validation of power system dynamic state estimators using real time digital simulator rtds
IEEE Transactions on Power Systems, 2016Co-Authors: Ankush Sharma, S C Srivastava, Saikat ChakrabartiAbstract:This paper presents an approach to test and validate a number of power system dynamic state estimation (PSDSE) algorithms, utilizing Real Time Digital Simulator (RTDS), a real-time simulation tool. WSCC 9-bus and IEEE 30-bus systems have been utilized to demonstrate the proposed approach. The test systems are developed on the RSCAD software of the RTDS. The conventional remote terminal unit (RTU) measurements and the phasor measurement unit (PMU) measurements are sent from the RTDS runtime environment to the MATLAB based PSDSE application at regular intervals for the estimation of the states, using software-in-the-loop (SIL) configuration. The PSDSE is solved by utilizing the extended Kalman filter (EKF), the unscented Kalman filter (UKF), and the cubature Kalman filter (CKF) approaches, and their relative performances are studied with the help of the simulation results on the two test systems.
Rakibul Islam - One of the best experts on this subject based on the ideXlab platform.
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Real time risk analysis of kick detection: Testing and Validation
Reliability Engineering & System Safety, 2017Co-Authors: Rakibul Islam, Faisal Khan, Ramchandran VenkatesanAbstract:Abstract Oil and gas development is moving into harsh and remote locations where the highest level of safety is required. A blowout is one of the most feared accidents in oil and gas developments projects. The main objective of this paper is to test and validate the kick detection of blowout risk assessment model using uniquely developed experimental results. Kick detection is a major part of the blowout risk assessment model. The accuracy and timeliness of kick detection are dependent on the monitoring of multiple downhole parameters such as downhole pressure, fluid density, fluid conductivity and mass flow rate. In the present study these four parameters are considered in different logical combinations to assess the occurrence of kick and associated blowout risk. The assessed results are compared against the experimental observations. It is observed that simultaneous monitoring of mass flow rate combined with any one the three parameters provides most reliable detection of kick and potential blowout likelihood. The current work presents the framework for a dynamic risk assessment and management model. Upon success Testing of this approach at the pilot and field levels, this approach could provide a paradigm shift in drilling safety.
Anurag K Srivastava - One of the best experts on this subject based on the ideXlab platform.
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Testing and Validation of Synchrophasor Devices and Applications
Power System Grid Operation Using Synchrophasor Technology, 2019Co-Authors: P. Banerjee, Anurag K Srivastava, S. Pandey, D LeeAbstract:Synchrophasor-based monitoring and control applications are being integrated into power grid control centers or being explored in pilot phase projects to realize the vision of real-time monitoring and control of bulk power system.
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Real time Testing and Validation of Smart Grid devices and algorithms
2013 IEEE Power & Energy Society General Meeting, 2013Co-Authors: Saugata S Biswas, Rory Beckstrom, Farshid Shariatzadeh, Anurag K SrivastavaAbstract:With ongoing efforts to upgrade the traditional electric power system into a smart grid, emphasis is on the integration of state-of-the-art computer based online monitoring and control tools along with advanced communication technology. However, Testing and Validation of these devices and algorithms are required before implementation in a physical grid. New Testing and Validation method needs to be developed in a simulated environment in a lab. This paper discusses some of the applications of the “smart grid test bed” developed at the “Smart Grid Development and Research Investigation Lab (SGDRIL)” at Washington State University. The specific applications discussed in this paper include synchrophasor device Testing, microgrid reconfiguration, voltage stability and vulnerability analysis.
