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Evaluating and Enhancing Rig controls automation Through Digital Transformation Efforts

Evaluating and Enhancing Rig Controls Automation Through Dig...

引用

2024 Abu Dhabi International Petroleum Exhibition and conference, ADIPEC 2024

作者： Auld, S. Wood, A. Whitlow, Z. Hopwood, F. Kern, S. Helmerich & Payne TulsaOK United States

ISBN: (纸本)9781959025498

Rig controls are essential for digital transformation, serving as an automation tool to execute complicated repetitive processes with precision and accuracy. process execution and consistency are typically measured by time, while drilling processes use constant set points often incorporating system feedback. Evaluating the effectiveness of these processes, which depend on system feedback, goes beyond time metrics, and requires further digital transformation efforts for proper support and assessment of success. automation of rig controls has advanced to a point where an entire drilling stand can be drilled without driller intervention, utilizing predetermined system set points. The next stage of evolution involves optimizing these processes automatically and iteratively. To assess complex automated processes effectively, new digital tools are necessary to enhance scalability of the technology across a large fleet of rigs, enabling real-time interpretation of results. Consequently, a new digital system has been developed to better support rig control automation, enhancing scalability in the digital transformation process. Drilling departments often focus on lagging indicators such as rate of penetration or well cycle times, overlooking critical leading indicators embedded within the design criteria for control performance. Rig control automations are designed with distinct objectives and performance criteria to measure and interpret. For instance, an autodriller and stick-slip mitigation controller are typically associated with metrics such as rate of penetration (ROP) and potential bit damage during operations. To effectively assess autodriller performance, it is crucial to understand the system's priorities and analyze time data comparing control commands and responses. The stick-slip mitigation controller benefits from frequency domain data on torque disturbances at surface to properly evaluate performance. Similarly, a process controller managing weight-on-bit req

关键词： Stick-slip

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Flow-rate Feeder control Design With PI-PI Cascade controller on Biomass Power Plant

Flow-rate Feeder Control Design With PI-PI Cascade Controlle...

引用

2023 International conference on advanced Mechatronics, Intelligent Manufacture and Industrial automation, ICAMIMIA 2023

作者： Prasetyo, Indrawan Budi Budiyarto, Aris Ciptian Weried, P. Wahyudi Farid, Imam Prakosa, Setya Widyawan Leu, Jenq-Shiou National Taiwan University of Science and Technology Dept. Electronic and Computer Engineering Taipei Taiwan PT. Parametrik Solusi Integrasi Bandung Indonesia Institut Teknologi Sepuluh Nopember Dept. Automation Electrical Engineering Surabaya Indonesia

ISBN: (纸本)9798350309225

The goal of gasification-based biomass power plants in this research is to be able to produce 5-10 KW of electricity through the thermal energy conversion process. Syngas, a byproduct of the burning of biomass, is created during the gasification process and may be utilized to power generators. The gasification process will diminish biomass, therefore if it reaches a particular level, it has to be frequently supplied to the feeder. Uncontrolled feeder transport capacity will result in the biomass that feeds the gasifier exceeding or falling short of the need, causing fluctuations in the amount of syngas generated. Due to this, the PI-PI cascade controller was designed to regulate biomass transport capacity. From the design of the PI-PI Cascade control system, the parameters for the primary loop controller Kp = 38.9;Ki = 0.81, and the secondary loop Kp = 3.5;Ki = 5. The results of the control design obtained time constant (ti) 0.0101 seconds;rise time(tr) for tr 10% at 0.014 seconds and tr 90% at 0.674 seconds;settling time(ts) of the response signal with Ts 0.05% at 9.5 seconds;delay time (td) at 0.065 seconds and if a disturbance is given when the condition is steady, it will return to the initial condition at 3.21 seconds after the disturbance is given. © 2023 IEEE.

关键词： Biomass

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Synthesis of Decoherence-Free Modes in Linear Quantum Passive Systems via Robust Pole Placement

Synthesis of Decoherence-Free Modes in Linear Quantum Passiv...

引用

2024 IEEE International conference on Systems, Man, and Cybernetics, SMC 2024

作者： Miao, Zibo Pan, Yu Gao, Qing School of Mechanical Engineering and Automation Adaptive Robotics Harbin Institute of Technology Guangdong Key Laboratory of Intelligent Morphing Mechanisms Shenzhen518055 China The Institute of Cyber-Systems and Control College of Control Science and Engineering Zhejiang University State Key Laboratory of Industrial Control Technology Hangzhou310027 China The School of Automation Science and Electrical Engineering Beijing Advanced Innovation Center for Big Data and Brain Computing Beihang University Beijing100191 China

ISBN: (纸本)9781665410205

In this paper we extend our previous research on coherent observer-based pole placement approach to study the synthesis of robust decoherence-free (DF) modes for linear quantum passive systems, which is aimed at preservation of quantum information. In particular, DF modes can be generated by placing the poles on the imaginary axis via a coherent feedback design scheme, and these modes can further be simultaneously made robust against perturbations to the system parameters by minimizing the condition number associated with imaginary poles. We develop explicit algebraic conditions for the existence of such a coherent quantum controller, with the corresponding deign procedure provided. Examples are given to illustrate the process of tuning the DF modes towards perfect robustness via the proposed pole placement technique. © 2024 IEEE.

关键词： Poles

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A Multistage Weight Assessment Model Based on AHP and Entropy Information 6

A Multistage Weight Assessment Model Based on AHP and Entrop...

引用

6th IEEE advanced Information Technology, Electronic and automation control conference (IEEE IAEAC)

作者： Zhai, Zhengang Zhu, Yunya Xiong, Renhao Liu, Dan 36th Res Inst CETC Jiaxing Peoples R China Jiaxing Key Lab Water Ecol Intelligence Jiaxing Peoples R China

ISBN: (数字)9781665458641

ISBN: (纸本)9781665458641

Ecosystem assessment is a very complex problem in the society. There are more factors to resolve the problem. To a regional sustainable development, the health of ecosystem is very important in a city. In this paper, multistage-weight (MSW)model is proposed which have two stages indexes. Because, at different stage or level, there are different information which should been taking into account. To the first stage indexes, the Analytic Hierarchy process(AHP) is used to compute the weight of these factors. The entropy information is used to compute the weight of the second stage indexes. Through the experiment, the MSW model is more reasonable and has the information of two stages indexes than other methods which only use one stage indexes of aquatic ecosystem health.

关键词： analytic hierarchy process multistage weight entropy information

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Sliding Mode control of Overhead Crane Based on Hurwitz Stability 6

Sliding Mode Control of Overhead Crane Based on Hurwitz Stab...

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6th IEEE advanced Information Technology, Electronic and automation control conference (IEEE IAEAC)

作者： Shi, Lanting Cui, Shigang Li, Xinqi Zhang, Yongli Tianjin Univ Technol & Educ Tianjin Peoples R China Tianjin Key Lab Informat Sensing & Intelligent Co Tianjin Peoples R China

ISBN: (数字)9781665458641

ISBN: (纸本)9781665458641

For two-dimensional underactuated bridge crane, a variable structure sliding mode controller based on hurwitz stability condition of closed-loop system is proposed, which can quickly realize the positioning of trolley and the anti swing of goods during transportation. The control law it is derived by means of Lyapunov stability, and the stability of the system is proved theoretically. The simulation results show that the control method can quickly realize the trolley positioning and anti swing in the process of cargo transportation, and has good control effect.

关键词： overhead crane Underactuated system Hurwitz stability condition of closed-loop system Lyapunov stability

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Prediction of Strip Finish Rolling Width Spread Based on Multi-Granularity Cascade Forest

Prediction of Strip Finish Rolling Width Spread Based on Mul...

引用

2024 lEEE International conference on advanced Information, Mechanical Engineering, Robotics and automation, AIMERA 2024

作者： Fan, Xingguo Li, Xudong Yu, Yang Wang, Haiyu Yan, He Fang, Kun Shougang Group Co. Ltd Beijing key Laboratory of Green Recyclable Process for Iron & Steel Production Technology Research Institute of Technology BeiJing China Information Technology Co. Ltd Automation Research Institute Beijing Shougang Automation BeiJing China Shougang Group Co. Ltd Research Institute of Technology BeiJing China

ISBN: (纸本)9798350343335

The width control accuracy of hot rolling strip is the key to improving product quality, the accurate prediction of finish rolling width spread directly affects the rough rolling width setting model. In order to further improve the accuracy of the finish rolling width spread prediction model, this paper proposes a prediction model based on multi-granularity cascading forest algorithm for hot finish rolling. The collected data were cleaned and normalized, the input features of the model were selected according to the mechanism model and experience, and the model hyperparameters were optimized by grid search and cross-validation, so as to construct the best prediction model. At the same time, support vector machine regression (SVR), decision tree regression (DTR) and random forest regression (RFR) models were used to compare and verify the test data. The experimental results show that 92.643% of the samples have a prediction error of less than 2mm, which has better prediction accuracy than the other models. © 2024 IEEE.

关键词： finish rolling hot rolling multi-granularity cascading forest width spread

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Monitoring and Forecasting Quality Indicators of Predough Production in the Bakery Industry 5

Monitoring and Forecasting Quality Indicators of Predough Pr...

引用

5th IEEE KhPI Week on advanced Technology, KhPIWeek 2024

作者： Lutska, Nataliia Zaiets, Nataliia Vlasenko, Lidiia Zhyltsov, Andrii Dept. of Automation and Computer Technologies of Control Systems National University of Food Technologies Kyiv Ukraine dept. of Automation and Robotic Systems National University of Life and Environmental Sciences of Ukraine Kyiv Ukraine Dept. of Software Engineering and Cyber Security State University of Trade and Economics Kyiv Ukraine Dept. of Electromagnetic Systems The Institute of Electrodynamics The National Academy of Sciences of Ukraine Kyiv Ukraine

ISBN: (纸本)9798350384499

The work demonstrates the process of developing a machine learning model for a system for monitoring and controlling the quality of predough at a bakery. This system will provide continuous analysis of the predough parameters, such as temperature, humidity, lifting force and titranic acidity, which will ensure timely detection of deviations in the quality of the predough and avoid production problems. In addition, it will help automate the quality control process and ensure the stability of production processes. Analysis and forecasting of dough parameters will improve the quality of produced bread or other bakery products. Management based also on the predicted values of technological indicators of the predough will allow the enterprise to avoid unnecessary costs of materials and energy and increase economic efficiency. As part of the study, seven machine learning models were created and reviewed, including three linear and four varieties of binary decision trees. An analysis of the best model - a regression decision tree - was carried out, confirming its effectiveness and the validity of the resulting hierarchical structure, in particular, the prediction of important indicators of predough with a high degree of reliability, which indicates its importance in practical applications in production. The created model can be used to monitor and control product quality in real time, allowing operators to quickly identify and correct any deviations in process performance. Also, by analyzing changes in the variables of the predough production process, it is possible to identify precursors of possible production accidents or deviations in product quality, which will allow timely measures to be taken to avoid them. ©2024 IEEE.

关键词： Bakeries

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Uncertainty Estimation in Click-Through Rate Prediction with Deep Neural Gaussian process 6

Uncertainty Estimation in Click-Through Rate Prediction with...

引用

6th IEEE advanced Information Management, Communicates, Electronic and automation control conference, IMCEC 2024

作者： Fan, Ruming Ye, Yun Zhang, Liang Liu, Chang Zhang, Kai Chan, Wai Kin Victor Tsinghua University Tsinghua-Berkeley Shenzhen Institute Tsinghua Shenzhen International Graduate School Shenzhen518055 China Tsinghua University Institute of Data and Information Tsinghua Shenzhen International Graduate School Shenzhen518055 China Ant Group China

ISBN: (纸本)9798350316520

Click-through rate (CTR) prediction is a vital task in online advertising, where accurately estimating the probability of a user clicking on an advertisement is crucial for effective campaign management. Uncertainty estimation plays a significant role in CTR prediction by providing insights into the reliability and robustness of the predicted click probabilities. In this paper, we propose a novel approach, Deep Neural Gaussian process(DNGP), to address uncertainty estimation in CTR prediction. By combining the expressive power of deep neural networks with the probabilistic framework of Gaussian processes, DNGP captures complex nonlinear patterns and provide principled uncertainty estimates. Our experimental results on public dataset and real-world dataset demonstrate that DNGP outperform traditional methods in terms of uncertainty quantification. © 2024 IEEE.

关键词： Deep neural networks

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A new method for detecting the inner wall of water pipeline 7

A new method for detecting the inner wall of water pipeline

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7th IEEE advanced Information Technology, Electronic and automation control conference, IAEAC 2024

作者： Cao, Maoyong Zhi, Xiangrui Ma, Fengying Luo, Guangxin Chen, Xinming Ji, Peng School of Information and Automation Engineering Shandong Jinan250353 China

ISBN: (纸本)9798350339161

We introduce an innovative approach to inspecting the inner walls of water pipelines, aiming to tackle the challenges associated with accurate and efficient detection. By emulating real-world conditions found within water pipelines, we reframe the problem of inner wall inspection as a three-dimensional modeling process using line-structured light. This innovative approach facilitates detection by reconstructing the three-dimensional representation of the pipeline's inner wall. The detection approach involves the use of camera to capture the changes that occur when the line laser interacts with the inner wall of the pipeline. It extracts information about the center points of the line laser and promptly generates a model of the inner wall of the pipeline. Within the Webots simulation environment, we deployed a simulated underwater robot equipped with camera and a line laser emitter to conduct numerous experiments within water pipelines. The experimental outcomes confirm that the three-dimensional reconstruction method proposed in this paper is capable of efficiently and accurately reconstructing the inner walls of pipelines in challenging underwater environments, successfully fulfilling the detection task. This algorithm showcases robustness and broad applicability, making it a valuable asset for inner wall detection in water pipelines. © 2024 IEEE.

关键词： Water pipelines

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A 3D object localization method based on EPNP and dual-view images 7

A 3D object localization method based on EPNP and dual-view ...

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7th IEEE advanced Information Technology, Electronic and automation control conference, IAEAC 2024

作者： Wang, Binpeng Bai, Anqian Ma, Fengying Ji, Peng School of Information and Automation Engineering JiNan China

ISBN: (纸本)9798350339161

In many production fields such as chemical, food, fertilizers, cement, etc., products are usually shipped in bags and stacked on pallets in warehouses for sale and transportation. Currently, long-distance transportation mainly relies on semitrailer trucks or box trucks, while the loading and unloading process of bagged materials relies heavily on manpower and material resources, significantly reducing the overall efficiency of product logistics transportation. This paper proposes a 3D object localization method based on EPNP and dual-view images for addressing the stacking issues of goods in industries such as factory production and logistics transportation. The method employs two cameras and a gantry to form a goods stacking positioning detection system. The Zhang Zhengyou chessboard calibration method is utilized to calibrate the cameras and determine their intrinsic parameters. The three-dimensional coordinates of the goods are calculated through methods such as the EPNP algorithm, perspective projection principles, and coordinate transformations. Experimental results have shown that this method can accurately measure the position of goods under the camera, making it convenient for palletizing machines to accurately stack and improve palletizing efficiency. © 2024 IEEE.

关键词： Trucks

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