Relevant bibliographies by topics / Reservoir Operation Model

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Reservoir Operation Model'

Author: Grafiati
Published: 4 June 2021
Last updated: 6 September 2023

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Journal articles on the topic "Reservoir Operation Model"

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Zhou, Jianzhong, Benjun Jia, Xiao Chen, Hui Qin, Zhongzheng He, and Guangbiao Liu. "Identifying Efficient Operating Rules for Hydropower Reservoirs Using System Dynamics Approach—A Case Study of Three Gorges Reservoir, China." Water 11, no. 12 (2019): 2448. http://dx.doi.org/10.3390/w11122448.

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In the long-term operation of hydropower reservoirs, operating rules have been used widely to decide reservoir operation because they can help operators make an approximately optimal decision with limited runoff information. However, the problems faced by reservoir managers is how to make and select an efficient operating rule properly. This study focuses on identifying efficient and reliable operating rules for the long-term operation of hydropower reservoirs using system dynamics (SD) approach. A stochastic hydrological model of reservoir inflow time series was established and used to genera
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Liu, Xuan, Mingxiang Yang, Xianyong Meng, Fan Wen, and Guangdong Sun. "Assessing the Impact of Reservoir Parameters on Runoff in the Yalong River Basin using the SWAT Model." Water 11, no. 4 (2019): 643. http://dx.doi.org/10.3390/w11040643.

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The construction and operation of cascade reservoirs has changed the natural hydrological cycle in the Yalong River Basin, and reduced the accuracy of hydrological forecasting. The impact of cascade reservoir operation on the runoff of the Yalong River Basin is assessed, providing a theoretical reference for the construction and joint operation of reservoirs. In this paper, eight scenarios were set up, by changing the reservoir capacity, operating location, and relative location in the case of two reservoirs. The aim of this study is to explore the impact of the capacity and location of a sing
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Myo Lin, Nay, Martine Rutten, and Xin Tian. "Flood Mitigation through Optimal Operation of a Multi-Reservoir System by Using Model Predictive Control: A Case Study in Myanmar." Water 10, no. 10 (2018): 1371. http://dx.doi.org/10.3390/w10101371.

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Managing a multi-reservoir system is complicated, due to conflicting interests among various objectives. This study proposes an optimization-based approach for the operations of a multi-reservoir system. An advanced real-time control technique, Model Predictive Control (MPC), is adopted to control a multi-reservoir system with two control objectives, i.e., flood mitigation and water conservation. The case study area is the Sittaung River basin in Myanmar, where the current reservoir operating rule needs to be improved for a more effective operation. A comparison between an MPC-based operation
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Verma, M. K., and R. K. Shrivastava. "Min-max goal programming: an application to Mahanadi Reservoir Project Complex." Canadian Journal of Civil Engineering 28, no. 4 (2001): 684–90. http://dx.doi.org/10.1139/l01-026.

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An application of the min-max goal programming methodology to a system of multipurpose reservoirs for optimal monthly operation has been presented in this paper. The goal programming approach possesses significant advantages because of the fact that it may be based on physical operating criteria. The system goals and constraints are expressed deterministically. A constraint must be strictly satisfied, while for a goal it is desired to achieve the solution, which is as close as possible to the specified target. The min-max goal programming model is developed and applied to the Mahanadi Reservoi
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Yassin, Fuad, Saman Razavi, Mohamed Elshamy, Bruce Davison, Gonzalo Sapriza-Azuri, and Howard Wheater. "Representation and improved parameterization of reservoir operation in hydrological and land-surface models." Hydrology and Earth System Sciences 23, no. 9 (2019): 3735–64. http://dx.doi.org/10.5194/hess-23-3735-2019.

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Abstract. Reservoirs significantly affect flow regimes in watershed systems by changing the magnitude and timing of streamflows. Failure to represent these effects limits the performance of hydrological and land-surface models (H-LSMs) in the many highly regulated basins across the globe and limits the applicability of such models to investigate the futures of watershed systems through scenario analysis (e.g., scenarios of climate, land use, or reservoir regulation changes). An adequate representation of reservoirs and their operation in an H-LSM is therefore essential for a realistic represen
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Li, Jieyu, Ping-an Zhong, Yuanjian Wang, et al. "Dynamic Self-Adaptive Modeling for Real-Time Flood Control Operation of Multi-Reservoir Systems." Water 14, no. 22 (2022): 3740. http://dx.doi.org/10.3390/w14223740.

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In the real-time flood control operation of multi-reservoir systems, it is of great significance to establish a dynamic operating system with high efficiency based on the spatiotemporal variation of flood control situations. This paper proposes a self-adaptive modeling framework for real-time flood control operation of multi-reservoirs based on the cyber–physical system (CPS) theory. Firstly, the random flood samples considering the randomness of both space and magnitude are generated, and then the multi-reservoir real-time flood control hybrid operation (MRFCHO) model is established based on
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A.D. Ampitiyawatta. "Cascade reservoirs optimal operation through combined guide curves." Global Journal of Engineering and Technology Advances 5, no. 1 (2020): 039–52. http://dx.doi.org/10.30574/gjeta.2020.5.1.0083.

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This study is concerned with the optimal operation of cascade reservoir system for hydropower generation. The problem involves optimizing hydropower production while reducing excess water spill during the flood season. A new combined reservoir operation model is proposed based on combined guide curves for optimizing hydropower production and for better storage distribution among cascade reservoirs. The storage distribution among cascade reservoirs is achieved by the storage effectiveness index method. The model is optimized with the particle swarm optimization algorithm and applied to the Qing
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Kimmany, Bounhome, Piyatida Ruangrassamee, and Supattra Visessri. "Optimal Multi-Reservoir Operation for Hydropower Production in the Nam Ngum River Basin." Engineering Journal 24, no. 5 (2020): 1–13. http://dx.doi.org/10.4186/ej.2020.24.5.1.

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This research aims to investigate optimal hydropower production of multi-reservoirs in Lao PDR and develop optimal reservoir rule curves. The Nam Ngum 1 and 2 (NN1 and NN2, respectively) reservoirs in the Nam Ngum River basin (NNRB), which is located in the middle of Laos, are selected as study areas. Mixed integer nonlinear programming (MINLP) is developed as an optimization model to maximize the hydropower production of joint reservoir operation of NN1 and NN2. The optimal operation rule curves are established by using the storage level estimated by the optimization model. Given the limited
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Afshar, Abbas, Mahyar Shafii, and Omid Bozorg Haddad. "Optimizing multi-reservoir operation rules: an improved HBMO approach." Journal of Hydroinformatics 13, no. 1 (2010): 121–39. http://dx.doi.org/10.2166/hydro.2010.061.

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We present an improved version of Honey Bees Mating Optimization (HBMO) algorithm to develop operating rules for multi-reservoir systems. The performance of the proposed model is tested through sensitivity analysis and comparing the result with those of a real-coded Genetic Algorithm (GA) for a 60-month period single-reservoir operation problem. The improved model is subsequently employed to derive release rule and storage balancing functions which form operating policy for a multi-reservoir system along two case examples: (i) water supply and (ii) hydropower generation. The obtained operating
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Li, Zhenghe, Ling Kang, Liwei Zhou, and Jie Hu. "Joint flood control operation of Upper Yangtze River based on dynamic weight of system safety degree." E3S Web of Conferences 53 (2018): 03056. http://dx.doi.org/10.1051/e3sconf/20185303056.

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At flood season, reservoir can guarantee the power generation and other benefit only under the premise of ensuring its own safety and the safety of middle and lower reaches of river basin. For maximizing the comprehensive benefits of each reservoir's function, it is necessary to study the scientific operation strategy of single reservoir and reservoir groups. Joint flood control operation of reservoir groups can achieve the task of flood control to maximum extent and balance the water demands of each reservoir's function. Aimed at five controlling reservoirs in the upper Yangtze river, this pa
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Dissertations / Theses on the topic "Reservoir Operation Model"

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Sahu, Reetik Kumar. "Optimal reservoir operation using stochastic model predictive control." Thesis, Massachusetts Institute of Technology, 2016. http://hdl.handle.net/1721.1/104561.

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Thesis: S.M., Massachusetts Institute of Technology, Computation for Design and Optimization Program, 2016.<br>Cataloged from PDF version of thesis.<br>Includes bibliographical references (pages 61-65).<br>Dynamical systems are subjected to various random external forcings that complicate theie control. In order to achieve optimal performance, these systems need to continually adapt to external disturbances in real time. This capability is provided by feedback based control strategies that derive an optimal control from the current state of the system. Model Predictive Control(MPC) is one such
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Seetha, Ram Katakam V. "Conjunctive And Multipurpose Operation Of Reservoirs Using Genetic Algorithms." Thesis, Indian Institute of Science, 2000. http://hdl.handle.net/2005/222.

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Optimal operation of reservoir systems is necessary for better utilizing the limited water resources and to justify the high capital investments associated with reservoir projects. However, finding optimal policies for real-life problems of reservoir systems operation (RSO) is a challenging task as the available analytical methods can not handle the arbitrary functions of the problem and almost all methods employed are numerical or iterative type that are computer dependent. Since the computer resources in terms of memory and CPU time are limited, a limit exists for the size of the problem, in
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Donpapob, Manee. "Impact of climate change on reservoir water storage and operation of large scale dams in Thailand." 京都大学 (Kyoto University), 2016. http://hdl.handle.net/2433/217151.

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Mounir, Adil. "Development of a Reservoir System Operation Model for Water Sustainability in the Yaqui River Basin." Ohio University / OhioLINK, 2018. http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1513880139368117.

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Luksanaree, Maneechot. "Impacts of Future Climate Change in Water Resources Management at the Chao Phraya River Basin, Thailand." Kyoto University, 2020. http://hdl.handle.net/2433/259028.

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Estalrich-Lopez, Juan. "Short-term operation of surface reservoirs within long-term goals." Diss., The University of Arizona, 1989. http://hdl.handle.net/10150/184854.

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A stochastic dynamic programming model (called P.B.S.D.P.) based on the consideration of peak discharge and time between peaks as two stochastic variables has been used to model and to solve a reservoir operation problem. This conceptualization of the physical reality allows to solve, in this order, the tactical and strategic operation of surface reservoirs. This P.B.S.D.P. model has been applied to the Sau reservoir in the Northeastern corner of Spain. The results showed a significant improvement over the currently used operation procedure, yielding values of yearly average electricity produc
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Brandão, João Luiz Boccia. "Modelo para operação de sistemas de reservatórios com usos múltiplos." Universidade de São Paulo, 2004. http://www.teses.usp.br/teses/disponiveis/3/3147/tde-12042004-111239/.

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O trabalho trata do desempenho dos sistemas de reservatórios segundo a ótica dos usos múltiplos da água. A pesquisa é fundamentada no uso de modelos de otimização de Programação Não-Linear criados com a ferramenta GAMS e resolvidos com o pacote de otimização MINOS, que resultou no modelo SFPLUS. O estudo de caso refere-se ao sistema de reservatórios da bacia do rio São Francisco. Numa primeira fase, o estudo enfoca a otimização do sistema segundo dois métodos para análise de usos múltiplos: o método das restrições e o método das ponderações. Na seqüência, faz-se uma exploração sobre as alterna
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Madani, Hadi. "Application of reservoir simulation and flow routing models to the operation of multi-reservoir system in terms of flood controlling and hydropower’s regulation." Thesis, KTH, Mark- och vattenteknik, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-171853.

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Dams are amongst the most important components of water resource systems. In many places the water regulated by and stored in dams is essential to meet the development objectives of water supply, flood control, agriculture (i.e. irrigation and livestock), industry, energy generation and other sectors. Previous studies (Gourbesvive, 2008) indicate that in the next 30 years water use will increase by 50% in the world. By 2025 about 4 billion people will live under conditions of severe water stress. Continuous deterioration in water quality in most developing countries is additional challenge. Th
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Salami, Yunus. "Risk Management in Reservoir Operations in the Context of Undefined Competitive Consumption." Doctoral diss., University of Central Florida, 2012. http://digital.library.ucf.edu/cdm/ref/collection/ETD/id/5478.

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Dams and reservoirs with multiple purposes require effective management to fully realize their purposes and maximize efficiency. For instance, a reservoir intended mainly for the purposes of flood control and hydropower generation may result in a system with primary objectives that conflict with each other. This is because higher hydraulic heads are required to achieve the hydropower generation objective while relatively lower reservoir levels are required to fulfill flood control objectives. Protracted imbalances between these two could increase the susceptibility of the system to risks of wa
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Cabral, Samuellson Lopes. "Time interval of maximum predictability in coupled climate and hydrological models for reservoir management." Universidade Federal do CearÃ, 2014. http://www.teses.ufc.br/tde_busca/arquivo.php?codArquivo=12795.

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CoordenaÃÃo de AperfeiÃoamento de Pessoal de NÃvel Superior<br>This work seeks to integrate climatic, hydrologic, and reservoir operation models in order to optimize available water volume in the Brazilian Northeast. The global ECHAM 4.5 climate model was used to feed the RAMS regional climate model for the Alto Jaguaribe hydrographic basin. Resulting precipitation values were calibrated by the probability density function (PDF) correction of simulated data compared with average daily precipitation data using the Thiessen method for the period 1979-2009. The Heidke Skill Score (HSS) was used t
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Books on the topic "Reservoir Operation Model"

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Wurbs, Ralph Allen. Modeling and analysis of reservoir system operations. Prentice Hall PTR, 1996.

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Kofi, Asante-Duah D., and Zsuffa István, eds. Hydrological dimensioning and operation of reservoirs: Practical design concepts and principles. Kluwer Academic Publishers, 2002.

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Serebryakov, Andrey, and Gennadiy Zhuravlev. Exploitation of oil and gas fields by horizontal wells. INFRA-M Academic Publishing LLC., 2021. http://dx.doi.org/10.12737/971768.

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The textbook describes the design features of offshore horizontal multi-hole production wells, as well as the bottom-hole components of horizontal multi-hole wells. The classification of complications of multi-hole horizontal wells, methods of their prevention and elimination are given. Methods of underground geonavigation of the development of offshore horizontal production wells are proposed. The geological and field bases of operation of horizontal offshore multi-hole oil and gas wells, modes and dynamics of oil, gas and associated water production, methods for calculating dynamic bottom-ho
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Sullivan, Annett B. Modeling water quality effects of structural and operational changes to Scoggins Dam and Henry Hagg Lake, Oregon. U.S. Geological Survey, 2006.

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O, Robertson John, and Kumar S. 1960-, eds. Surface operations in petroleum production. Elsevier, 1987.

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United States Office of Water Resources, G. Rao, and Theodore T. Williams. Development of an Operations Model for Montana Water Resources; Middle Creek Reservoir Operation: 1973. Creative Media Partners, LLC, 2018.

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Gebretsadik, Yohannes, Chas Fant, and Kenneth Strzepek. Optimized reservoir operation model of regional wind and hydro power integration: Case study Zambezi Basin and South Africa. UNU-WIDER, 2014. http://dx.doi.org/10.35188/unu-wider/2014/882-7.

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Nandalal, K. D. W., and Janos J. Bogardi. Dynamic Programming Based Operation of Reservoirs: Applicability and Limits (International Hydrology Series). 2nd ed. Cambridge University Press, 2007.

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Nandalal, K. D. W., and Janos J. Bogardi. Dynamic Programming Based Operation of Reservoirs: Applicability and Limits. University of Cambridge ESOL Examinations, 2013.

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Nandalal, K. D. W., and Janos J. Bogardi. Dynamic Programming Based Operation of Reservoirs: Applicability and Limits. Cambridge University Press, 2009.

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Book chapters on the topic "Reservoir Operation Model"

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Nagy, Imre V., Kofi Asante-Duah, and Istvan Zsuffa. "Application of the Moran Model in Reservoir Storage Design." In Hydrological Dimensioning and Operation of Reservoirs. Springer Netherlands, 2002. http://dx.doi.org/10.1007/978-94-015-9894-1_10.

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Taye, Jyotismita, Bibhash Sarma, and Abhijit D. Lade. "Optimal Cropping Pattern of Kulsi River Basin, Assam, India Using Simulation and Linear Programming Model." In Water Resources Management and Reservoir Operation. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-79400-2_7.

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Sharma, Bhanu, and Kalyan Kumar Bhar. "Assessment of Probable Maximum Flood (PMF) Using Hydrologic Model for Probable Maximum Precipitation in Maithon Watershed." In Water Resources Management and Reservoir Operation. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-79400-2_14.

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Hong, Kunhui, Shouyuan Zhang, Wei Zhang, and Teng Wu. "Research on Water Scour Conditions of Wanjiazhai Reservoir, China." In Lecture Notes in Civil Engineering. Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-19-6138-0_104.

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AbstractFlood control, power generation and agricultural irrigation are the primary functions of reservoirs. The main reason for the serious deposition in the Yellow River reservoir is the high concentration of sediment in the water flow. Due to the establishment of the Yellow River cascade reservoir and the joint scheduling among reservoirs, the flow rate of the downstream reservoir decreases in flood season, which reduces the hydrodynamic flushing efficiency in the reservoir area. Wanjiazhai Reservoir is selected as the research sample in the present study, which is a first-level cascade reservoir in the connecting area of the upper and middle reaches of the Yellow River. In this study, a numerical model was built to analyze factors that influenced the operation and flushing of the upstream reservoir. And a formula was recommended to apply to the Wanjiazhai Reservoir on the basis of the sediment deposition pattern discrimination formula. Besides, various flushing methods and methods reducing the sediment deposition were carried out and analyzed. Results indicated that when the inflow rate increased, the maximum particle diameter of the incipient sediment was larger. When the inflow rate reached 1200 m3/s, the diameter of the initial the incipient sediment varied from 0.015 mm to 0.094 mm. And the diameter range of the initial the incipient sediment was 0.014 mm–0.094 mm, when the inflow rate was 1800 m3/s. When the inflow rate reached 2500 m3/s, the diameter of the initial the incipient sediment varied from 0.010 mm to 0.094 mm. Notably, all sediment were discharged from the reservoir. Moreover, the sediment of the reservoir was flushed at a flow rate of 1200 m3/s–1800 m3/s under the premise of meeting the upstream water storage.
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Redi, Mekonnen, Natesan Thillaigovindan, and Mihret Dananto. "A Bidirectional Neural Network Dynamic Inventory Control Model for Reservoir Operation." In Data Analytics and Artificial Intelligence for Inventory and Supply Chain Management. Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-6337-7_15.

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Zhang, Yu, Xiaodong Wang, Zhixiang Min, et al. "Adaptive Regulation of Cascade Reservoirs System Under Non-stationary Runoff." In Lecture Notes in Civil Engineering. Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-19-6138-0_88.

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AbstractUnder the influence of climate change and human activities, the spatial and temporal distribution of river runoff has changed. The statistical characteristics of runoff such as mean, variance and extreme values have changed significantly. Hydrological stationarity has been broken, deepening the uncertainty of water resources and their utilization. Hydrological stationarity is a fundamental assumption of traditional water resources planning and management. The occurrence of non-stationarity will undoubtedly have an impact on the operation and overall benefits of reservoirs, and may even threaten the safety of reservoirs and water resources. There is uncertainty as to whether reservoirs can operate safely and still achieve their design benefits under the new runoff conditions. Therefore, it is important to carry out adaptive regulation of reservoirs in response to non-stationary runoff. Based on the multi-objective theory of large system, a multi-objective joint scheduling model of the terrace reservoir group is constructed for adaptive regulation simulation. A set of combination schemes based on optimal scheduling, flood resource utilization, water saving is constructed. The adaptive regulation is validated using a real-world example of the Xiluodu cascade and Three Gorges cascade reservoirs system in Yangtze River, China. The adaptive regulation processes are analyzed by simulation and the adaptive regulation effects are evaluated. The results show that the non-stationary runoff in upper Yangtze River has had an impact on the comprehensive benefits of large hydropower projects. The use of non-engineering measures to improve flood resource utilization, adjust upstream water use behavior and optimize reservoir scheduling are effective means to reduce the negative impact of non-stationary runoff on cascade reservoirs system.
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Tatano, H., N. Okada, K. Yoshikawa, and H. Kawai. "A Frequency and Duration Constrained Model for the Optimization of a Single Reservoir Operation." In Stochastic and Statistical Methods in Hydrology and Environmental Engineering. Springer Netherlands, 1994. http://dx.doi.org/10.1007/978-94-017-3081-5_28.

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Li, Fangfang, Christine A. Shoemaker, Jiahua Wei, and Xudong Fu. "A New Reservoir Operation Policy Generation Method (SOSM) Using Scenarios Optimization (SO) and Surrogate Model (SM)." In Advances in Intelligent Systems and Computing. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-27711-5_90.

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Kumari, Shweta, and K. B. V. N. Phanindra. "Comparison of Flux Footprint Models to a Mixed Fetch Heterogeneous Cropland System." In Water Resources Management and Reservoir Operation. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-79400-2_8.

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Dawar, Kshitij, Sanjay Srinivasan, and Mort D. Webster. "Application of Reinforcement Learning for Well Location Optimization." In Springer Proceedings in Earth and Environmental Sciences. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-19845-8_7.

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AbstractThe extensive deployment of sensors in oilfield operation and management has led to the collection of vast amounts of data, which in turn has enabled the use of machine learning models to improve decision-making. One of the prime applications of data-based decision-making is the identification of optimum well locations for hydrocarbon recovery. This task is made difficult by the relative lack of high-fidelity data regarding the subsurface to develop precise models in support of decision-making. Each well placement decision not only affects eventual recovery but also the decisions affecting future wells. Hence, there exists a tradeoff between recovery maximization and information gain. Existing methodologies for placement of wells during the early phases of reservoir development fail to take an abiding view of maximizing reservoir profitability, instead focusing on short-term gains. While improvements in drilling technologies have dramatically lowered the costs of producing hydrocarbon from prospects and resulted in very efficient drilling operations, these advancements have led to sub-optimal and haphazard placement of wells. This can lead to considerable number of unprofitable wells being drilled which, during periods of low oil and gas prices, can be detrimental for a company’s solvency. The goal of the research is to present a methodology that builds machine learning models, integrating geostatistics and reservoir flow dynamics, to determine optimum future well locations for maximizing reservoir recovery. A deep reinforcement learning (DRL) framework has been proposed to address the issue of long-horizon decision-making. The DRL reservoir agent employs intelligent sampling and utilizes a reward framework that is based on geostatistical and flow simulations. The implemented approach provides opportunities to insert expert information while basing well placement decisions on data collected from seismic data and prior well tests. Effects of prior information on the well placement decisions are explored and the developed DRL derived policies are compared to single-stage optimization methods for reservoir development. Under similar reward framework, sequential well placement strategies developed using DRL have been shown to perform better than simultaneous drilling of several wells.
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Conference papers on the topic "Reservoir Operation Model"

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Ai, Xueshan, and Xianjia Wang. "Study on Reservoir Ecological Operation Model." In 2008 2nd International Conference on Bioinformatics and Biomedical Engineering (ICBBE '08). IEEE, 2008. http://dx.doi.org/10.1109/icbbe.2008.581.

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Kim, Sheung-Kown, YoungJoon Park, and JaeHee Kim. "Simulation of the Real-time Multiple Reservoir Operating Environment with a Multiple Reservoir Operation Optimization Model." In Joint Conference on Water Resource Engineering and Water Resources Planning and Management 2000. American Society of Civil Engineers, 2000. http://dx.doi.org/10.1061/40517(2000)148.

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Chou, Frederick N. F., Chia-Wen Wu, and Cheng-Hao Lin. "Simulating Multi-Reservoir Operation Rules by Network Flow Model." In Operations Management Conference 2006. American Society of Civil Engineers, 2006. http://dx.doi.org/10.1061/40875(212)33.

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WANG, XU, MINGNA WANG, XIAOHUI LEI, SOON THIAMKHU, TING LI, and TAO QIN. "Study on Model Selection in Reservoir Water Supply Operation." In 38th IAHR World Congress. The International Association for Hydro-Environment Engineering and Research (IAHR), 2019. http://dx.doi.org/10.3850/38wc092019-1919.

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Chen, Yingqin. "Optimal reservoir operation in electric power market transaction model." In 2016 International Forum on Energy, Environment and Sustainable Development. Atlantis Press, 2016. http://dx.doi.org/10.2991/ifeesd-16.2016.60.

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Lee, Yongdae, Sheung-Kown Kim, Jaehee Kim, and Ick Hwan Ko. "A Mathematical Model for Daily Coordinated Mutli-Reservoir Operation." In World Water and Environmental Resources Congress 2003. American Society of Civil Engineers, 2003. http://dx.doi.org/10.1061/40685(2003)115.

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Hakkwan Kim and Prem B Parajuli. "Impacts of Reservoir Operation in the SWAT Model Calibration." In 2012 Dallas, Texas, July 29 - August 1, 2012. American Society of Agricultural and Biological Engineers, 2012. http://dx.doi.org/10.13031/2013.41767.

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Lee, Yongdae, Sheung-Kown Kim, and Ick Hwan Ko. "Two-Stage Stochastic Linear Programming Model for Coordinated Multi-Reservoir Operation." In Operations Management Conference 2006. American Society of Civil Engineers, 2006. http://dx.doi.org/10.1061/40875(212)40.

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Chuanzhe Li, Denghua Yan, Fuliang Yu, and Jia Liu. "Research on reservoir optimal operation based on dynamic programming model." In 2011 International Conference on Computer Science and Service System (CSSS). IEEE, 2011. http://dx.doi.org/10.1109/csss.2011.5972085.

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Talukdar, Bipul, Debasis Deb, and D. K. Srivastava. "Development of Multiobjective Stochastic Dynamic Programming (MOSDP) Reservoir Operation Model." In World Environmental And Water Resources Congress 2012. American Society of Civil Engineers, 2012. http://dx.doi.org/10.1061/9780784412312.100.

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Reports on the topic "Reservoir Operation Model"

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Ding, Yan, Sung-Chan Kim, Rusty L. Permenter, Richard B. Styles, and Jeffery A. Gebert. Simulations of Shoreline Changes along the Delaware Coast. Engineer Research and Development Center (U.S.), 2021. http://dx.doi.org/10.21079/11681/39559.

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This technical report presents two applications of the GenCade model to simulate long-term shoreline evolution along the Delaware Coast driven by waves, inlet sediment transport, and longshore sediment transport. The simulations also include coastal protection practices such as periodic beach fills, post-storm nourishment, and sand bypassing. Two site-specific GenCade models were developed: one is for the coasts adjacent to the Indian River Inlet (IRI) and another is for Fenwick Island. In the first model, the sediment exchanges among the shoals and bars of the inlet were simulated by the Inle
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Deschamps, Henschel, and Robert. PR-420-123712-R01 Lateral Ground Movement Detection Capabilities Derived from Synthetic Aperture Radar. Pipeline Research Council International, Inc. (PRCI), 2014. http://dx.doi.org/10.55274/r0010831.

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The objective of this research was to quantify long-term ground deformation at the Belridge Oil Field, in the San Joaquin Valley (SJV), California using operational Interferometric Synthetic Aperture Radar (InSAR) monitoring techniques. A high spatial and temporal resolution, millimeter-precision time-series of ground deformation measurements was produced for the entire oil field from 2000 to 2012 using imagery from multiple satellites and beam modes. Trihedral Corner Reflectors (CRs) with co-located Global Navigation Satellite System (GNSS) units were used to validate the wide-area measuremen
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Marotz, Brian, Craig Althen, and Daniel Gustafson. Model Development to Establish Integrated Operational Rule Curves for Hungry Horse and Libby Reservoirs - Montana, 1996 Final Report. Office of Scientific and Technical Information (OSTI), 1996. http://dx.doi.org/10.2172/239308.

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River and Reservoir Operations Model, Truckee River basin, California and Nevada, 1998. US Geological Survey, 2001. http://dx.doi.org/10.3133/wri014017.

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