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Academic literature on the topic 'Reservoir management'

Author: Grafiati

Published: 4 June 2021

Last updated: 20 February 2023

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Journal articles on the topic "Reservoir management"

1

Wilopo, Wahyu, Hendy Setiawan, and Doni Prakasa Eka Putra. "Evaluation of Artificial Reservoir Management in Sleman Regency, Yogyakarta Special Region." Jurnal Presipitasi : Media Komunikasi dan Pengembangan Teknik Lingkungan 17, no. 3 (October 14, 2020): 205–14. http://dx.doi.org/10.14710/presipitasi.v17i3.205-214.

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The Indonesian government has promoted reservoir (embung) development programs throughout Indonesia. This program is primarily designed at supporting agricultural irrigation, especially in the dry season. However, in its implementation, there are often many obstacles both in technical and management, causing the main purpose of the reservoir construction cannot be achieved optimally. Therefore, this study aims to evaluate the condition of the reservoir located in Sleman Regency, Yogyakarta Special Region, in terms of physical, institutional, and management constraints. The study was conducted through a direct survey of 9 reservoirs and interviews with managers and residents around the reservoir. The results showed that two reservoirs have small damage in the reservoir building, three reservoirs do not yet have managers, and three reservoirs have not functioned following the purpose of reservoirs development. The obstacle often found in managing reservoirs is the unclear structure for the management of the reservoir, and the existing management is not effectively working. Therefore, the regulation of using reservoir water is not available. It is necessary to have a management organization involving the community and village government where the reservoir is located and also community beneficiaries of agricultural irrigation to guarantee its function and sustainability.

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Utomo, Puji. "Mrica Reservoir Sedimentation: Current Situation and Future Necessary Management." Journal of the Civil Engineering Forum 3, no. 2 (September 12, 2017): 365. http://dx.doi.org/10.22146/jcef.26640.

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Mrica Reservoir is one of many reservoirs located in Central Java that experienced a considerably high sedimentation during the last ten years. This condition has caused a rapid decrease in reservoir capacity. Various countermeasures have been introduced to reduce the rate of the reservoir sedimentation through catchment management and reservoir operation by means of flushing and/or dredging. However, the sedimentation remains intensive so that the fulfillment of water demand for electrical power generation was seriously affected. This paper presents the results of evaluation on the dynamics of the purpose of this research is to evaluate the sediment balance of the Mrica Reservoir based on two different scenarios, i.e. the existing condition and another certain type of reservoir management. The study on sediment balance was carried out by estimating the sediment inflow applying sheet erosion method in combination with the analysis of sediment rating curve. The measurement of the deposited sediment rate in the reservoir was conducted through the periodic echo sounding, whereas identification of the number of sediment that has been released from the reservoir was carried out through the observation on both flushing and dredging activities. The results show that during the last decade, the rate of the sediment inflow was approximately 5.869 MCM/year, whereas the released sediment from the reservoir was 4.097 MCM/year. In order to maintain the reservoir capacity, therefore, at least 1.772 MCM/year should be released from the reservoir by means of either flushing or dredging. Sedimentation management may prolong the reservoir’s service life to exceed the design life. Without sediment management, the lifetime of the reservoir would have finished by 2016, whereas with the proper management the lifetime may be extended to 2025.

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Kaliszewski, A. B. "RESERVOIR SIMULATION FOR RESERVOIR MANAGEMENT." APPEA Journal 26, no. 1 (1986): 397. http://dx.doi.org/10.1071/aj85034.

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The Hutton reservoir in the Merrimelia Field (Cooper-Eromanga Basin) was the subject of a 3-D reservoir simulation study. The primary objective of the study was to develop a reservoir management tool for evaluating the performance of the field under various depletion options.The study confirmed that the ultimate oil recovery from this strong water drive reservoir was not adversely affected by increasing total fluid offtake rate. However, any decisions regarding changes to the depletion scheme such as increasing production rates, if based solely on computer simulation results, should be viewed with caution. Careful monitoring of any changes to the depletion philosophy and checking of actual data against simulation predictions are essential to ensure that oil production rate and ultimate recovery are optimised.The model assisted in evaluating the economics of development drilling. While the simulation results are dependent on the validity of geological mapping, the model was useful in confirming that, due to very high transmissibility in the Hutton reservoir, additional wells would only accelerate production rather than increase ultimate recovery. The issue of drilling wells thus became one of balancing the benefits of accelerating production against the geological risk associated with that well.Interaction between the reservoir engineer and various disciplines, particularly development geology, is critical in the development and application of a good working simulation model. This was found to be especially important during the history matching phase in the study. If engineers and development geologists can learn more of the others' discipline and appreciate the role that each has to play in simulation studies, the validity of such models can only be improved.The paper addresses a number of the pitfalls commonly encountered in application of reservoir simulation results.

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Meadows, Michael D. "Reservoir Management." Journal - American Water Works Association 79, no. 8 (August 1987): 26–31. http://dx.doi.org/10.1002/j.1551-8833.1987.tb02889.x.

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Yu, Da-jin, Zhengwei Zou, and Jin Li. "Evaluation of reservoir management modernization under the concept of coordinated development." Water Supply 20, no. 8 (August 3, 2020): 3697–706. http://dx.doi.org/10.2166/ws.2020.175.

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Abstract The modernization of reservoir management is of great significance to the coordinated development of the region. There are many factors affecting the modernization of reservoir management, and there is a certain degree of ambiguity, randomness and uncertainty among the factors. It is difficult to evaluate the modernization of reservoir management comprehensively by traditional methods. This study first studies the connotation of reservoir management modernization under the concept of coordinated development; that is, securitization, economization, scientificalization and greenization. On this basis, a modernization evaluation system and AHP-Fuzzy evaluation model for reservoir management are constructed. Then, an empirical study is conducted with six large reservoirs in Jiangxi Province of China. The results show that the modernization level of large-scale reservoir management in Jiangxi Province is generally above the middle level, and the economic management and engineering management level of some reservoirs is relatively low, resulting in a low scientific and economic level of reservoir management, which is a key factor restricting the process of reservoir management modernization.

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Magner, T. N. "ECONOMIC BENEFITS OF THE KUTUBU RESERVOIR MANAGEMENT STRATEGY." APPEA Journal 35, no. 1 (1995): 121. http://dx.doi.org/10.1071/aj94008.

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In spite of all the of the studies and analyses conducted since the initial oil discovery in 1986, considerable uncertainty existed over the expected performance of the Kutubu reservoirs prior to initial production. Extensive use of reservoir simulation during the field development helped overcome technical challenges in the development phase. Continued modelling work has increased understanding of reservoir behaviour, identified additional development opportunities and further enhanced field economics.Since First Oil in June 1992, over 100 MMSTB of light, sweet Kutubu crude oil have been produced and exported {through October 1994). At present, the field produces approximately 120,000 STBO/D from 27 vertical wells and two horizontal wells. Reservoir pressure maintenance is provided by gravity-stable re-injection of produced gas into five wells.On the whole, the reservoirs have met or exceeded expectations to date. This is in part due to the effective planning and implementation of a strategy to manage the Kutubu reservoirs. This reservoir management strategy combines an aggressive program of reservoir surveillance, data collection, computer simulation and continuous reassessment of previous assumptions.

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Daus, Milan, Katharina Koberger, Kaan Koca, Felix Beckers, Jorge Encinas Fernández, Barbara Weisbrod, Daniel Dietrich, et al. "Interdisciplinary Reservoir Management—A Tool for Sustainable Water Resources Management." Sustainability 13, no. 8 (April 18, 2021): 4498. http://dx.doi.org/10.3390/su13084498.

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Reservoirs are a common way to store and retain water serving for a multitude of purposes like storage of drinking and irrigation water, recreation, flood protection, navigation, and hydropower production, and have been built since centuries. Today, few reservoirs serve only one purpose, which requires management of present demands and interests. Since each reservoir project will cause negative impacts alongside desired advantages both on a local, regional and global scale, it is even more urgent to develop a common management framework in an attempt to mitigate negative impacts, incorporate different demands and make them visible within the discourse in order to avoid conflicts from early on. The scientific publications on reservoirs are manifold, yet a comprehensive and integrative holistic tool about management of this infrastructure is not available. Therefore, a comprehensive and integrated conceptual tool was developed and proposed by the authors of this paper that can contribute to the sustainable management of existing reservoirs. The tool presented herein is based on the results from the interdisciplinary CHARM (CHAllenges of Reservoir Management) project as well as the condensed outcome of relevant literature to aid and enhance knowledge of reservoir management. The incorporated results are based on field, laboratory and empirical social research. The project CHARM focused on five different aspects related to existing reservoirs in southern Germany (Schwarzenbachtalsperre, Franconian Lake District), namely: sedimentation of reservoirs, biostabilisation of fine sediments, toxic cyanobacteria(l) (blooms), greenhouse gas emissions from reservoirs and social contestation, respectively consent. These five research foci contributed to the topics and setup of a conceptual tool, put together by the research consortium via delphi questioning, which can be found alongside this publication to provide insights for experts and laymen. Conceptualising and analysing the management in combination with quantitative and qualitative data in one descriptive tool presents a novelty for the case studies and area of research. The distribution within the scientific community and interested public will possibly make a positive contribution to the goal of sustainable water resources management in the future.

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Jin, Jiaxu, Hongyue Zhang, Liang Xu, Kelin Zhou, and Xiangfeng Lv. "Stability Analysis of Downstream Dam Expansion Tailings Pond." Advances in Civil Engineering 2022 (June 2, 2022): 1–13. http://dx.doi.org/10.1155/2022/1809736.

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The buildup of tailings in China has expanded dramatically with economic development and industrial demand, and the safety of tailings reservoirs has become increasingly serious. Due to the difficulty in finding a new reservoir site, the expansion approach of building a new tailings dam downstream of the original reservoir area was investigated. The stability of the tailings reservoir after expansion was calculated using the traditional dynamic and static stability solution method and taking into account the unpredictability of dam construction materials and tailings material parameters in the reservoir area. The results reveal that throughout the tailings accumulation process in the new reservoir, the tailings will build a back pressure slope at the original reservoir’s initial dam, which can considerably improve the original reservoir’s dynamic and static stability. The Monte Carlo method clearly outperforms older methods for tailing pond stability analysis. The results of this paper’s calculations will give a theoretical foundation and practical reference for the later management and maintenance of such tailings reservoirs, as well as fresh ideas and insights for comparable projects due to limited site selection.

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Hwang, Soonho, Sang-Min Jun, Jung-Hun Song, Kyeung Kim, Hakkwan Kim, and Moon-Seong Kang. "Application of the SWAT-EFDC Linkage Model for Assessing Water Quality Management in an Estuarine Reservoir Separated by Levees." Applied Sciences 11, no. 9 (April 26, 2021): 3911. http://dx.doi.org/10.3390/app11093911.

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Estuarine reservoirs are available for use in various water resource systems. In agriculture, supplying irrigation water that meets water quality standards is essential for food safety. This study focused on the Ganwol estuarine reservoir in the midwestern region of South Korea, which suffers from water quality deterioration problems. To explore the water quality improvement in an estuarine reservoir, it is essential to understand the characteristics of water quality changes in the reservoir following water pollution control management. Therefore, the purpose of this study is to evaluate the effects of water quality management on the estuarine reservoir, which is separated by levees, using the soil and water assessment tool (SWAT)-environmental fluid dynamics code (EFDC) linkage model. In this study, soil remediation by dredging the reservoir’s bottom soil and effluent control from public sewage treatment works were considered as the water management plans. The results of this study indicate that reducing the internal load of the reservoir increases internal resilience and reducing the external inflow load decreases the impact on the system. Hence, comprehensive measures are effective in improving water quality.

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Larraz, Beatriz, and Enrique San-Martin. "A Tale of Two Dams: The Impact of Reservoir Management on Rural Depopulation in Central Spain." Water Resources Management 35, no. 14 (October 12, 2021): 4769–87. http://dx.doi.org/10.1007/s11269-021-02938-9.

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AbstractIn rural areas, depopulation is mainly due to a lack of economic and employment opportunities. In this context, the reservoirs already built can be a source of socioeconomic development based on tourism and outdoor leisure activities. The condition for this development to materialize is that reservoir management considers these activities. In Central Spain, a process of rural depopulation has been generated in the municipalities around the reservoirs at the Upper Tagus River, as water management allows water transfers from the Tagus to the Segura River without taking into account regulations that prioritize and protect donor basin users. Through the comparison of reservoir water management and demographic data of two rural areas close to the reservoirs, this article reveals the direct relationship between reservoir management that enables recreational uses with its consequent socioeconomic development and the maintenance of the population in the territory. Consequently, reservoir water management based on the socioeconomic development of reservoir banks is necessary and a priority over transfers to another basin.

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Dissertations / Theses on the topic "Reservoir management"

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Kleopa, Xenia A. "Optimal reservoir operation for drought management." Ohio : Ohio University, 1990. http://www.ohiolink.edu/etd/view.cgi?ohiou1183650664.

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Kistenmacher, Martin. "Reservoir system management under uncertainty." Diss., Georgia Institute of Technology, 2012. http://hdl.handle.net/1853/49012.

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Reservoir systems are subject to several uncertainties that are the result of imperfect knowledge about system behavior and inputs. A major source of uncertainty arises from the inability to predict future inflows. Fortunately, it is often possible to generate probabilistic forecasts of inflow volumes in the form of probability density functions or ensembles. These inflow forecasts can be coupled with stochastic management models to determine reservoir release policies and provide stakeholders with meaningful information of upcoming system responses such as reservoir levels, releases, flood damage risks, hydropower production, water supply withdrawals, water quality conditions, navigation opportunities, and environmental flows, among others. This information on anticipated system responses is also expressed in the form of forecasts that must reliably represent the actual system behavior when it eventually occurs. The first part of this study presents an assessment methodology that can be used to determine the consistency of ensemble forecasts through the use of relative frequency histograms and minimum spanning trees (MST). This methodology is then used to assess a management model's ability to produce reliable ensemble forecasts. It was found that neglecting to account for hydrologic state variables and improperly modeling the finite management horizon decrease ensemble consistency. Several extensions to the existing management model are also developed and evaluated. The second portion of this study involves the management of the uncertainties in reservoir systems. Traditional management models only find management policies that optimize the expected values of system benefits or costs, thereby not allowing operators and stakeholders to explicitly explore issues related to uncertainty and risk management. A technique that can be used to derive management policies that produce desired probabilistic distributions of reservoir system outputs reflecting stakeholder preferences is developed. This technique can be embedded in a user-interactive framework that can be employed to evaluate the trade-offs and build consensus in multi-objective and multi-stakeholder systems. The methods developed in this dissertation are illustrated in case studies of real reservoir systems, including a seven-reservoir, multi-objective system in California's Central Valley.

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Najafiazar, Bahador. "Mathematical Optimization in Reservoir Management." Thesis, Norges teknisk-naturvitenskapelige universitet, Institutt for petroleumsteknologi og anvendt geofysikk, 2014. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-27058.

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Getting the most out of a hydrocarbon reservoir is not a trivial task. It takes plentyof interwoven decisions to make. There are many forms of tools that support engineersto make correct decisions. The simplest ones would only display measurementsin a suitable way, and appoint the rest of the decision making processto human knowledge and experience. Complex decision support tools may implementmodel-based estimation and optimization. This work targets methods foroptimization-based decision support.The objective of this study is to formulate, implement and test promising methodsof hydrocarbon production optimization through various test cases. To do this, avarious optimizations algorithm were applied to the simulated reservoir modelsusing the Matlab Reservoir Simulation Toolbox (MRST).

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Garcia, Christopher Jacob. "Management of Global Reservoir Sedimentation: Evaluating RESCON 2 for Sediment Management Alternatives." BYU ScholarsArchive, 2019. https://scholarsarchive.byu.edu/etd/7505.

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Reservoir sedimentation occurs as dams impound streams and rivers, preventing the delivery of sediments downstream. Globally, reservoirs lose approximately 40 million acre-ft of storage to sediments each year. Several methods for managing reservoir sedimentation have been developed to help extend project life. In 2017, the World Bank sponsored REServoir CONservation (RESCON) 2, a pre-feasibility program aimed to help users select sediment management practices to consider for more detailed studies.There are two main objectives to this research: 1) perform a sensitivity analysis to understand which parameters require greater precision and which can be roughly approximated, and 2) evaluate RESCON 2 suggested practices to assess the model's accuracy and consistency for providing the optimal solution. Comparisons of the actual sediment management practice will be made with RESCON's results and applicable zones from the Sediment Management Options Diagram (SMOD). Brief descriptions of the SMOD and RESCON 2 will be provided. RESCON-required inputs will be summarized, and some key entries will be presented. Additionally, innovations taken in Japan to modify and retrofit exiting reservoirs with sediment management capabilities will be explored.The sensitivity analysis proves the unit benefit of reservoir yield parameter to be highly sensitive, and users should invest time into determining this value. The sensitivity analysis also illustrates certain processes in RESCON, such as automatically determining the implementation schedule of flushing or a sustainable solution for dredging operations, have great influence over the respective method's analysis. Approximations can be used if these options were selected.Twenty reservoirs from around the world were modeled in RESCON 2, with storage capacities ranging between 152 acre-ft and 31.9 million acre-ft. All sediment management alternatives whose NPV lied within 30% of the highest alternative were deemed practicable for the reservoir. Of the twenty models analyzed in RESCON 2, ten did not practice sediment management. Analyzing only those reservoirs where sediment management is being employed, RESCON predicted the correct or used practice eight out of ten times.Recommendations to improve RESCON include 1) an HSRS operations and maintenance parameter, 2) expanding the unit benefit of reservoir yield parameter into several terms to more explicitly state applicable revenue sources, and 3) creating a list of RESCON model builds, updates, and bug treatments and an option for users to report bugs or other problems.

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Moore, David L. "Reservoir management during drought an expert system approach." Ohio : Ohio University, 1993. http://www.ohiolink.edu/etd/view.cgi?ohiou1175718241.

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Kaseke, Evans. "Fuzzy linear programming and reservoir management." Thesis, University of British Columbia, 1987. http://hdl.handle.net/2429/26708.

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The presence of imprecision in parameter specification of water resources management problems leads to the formulation of fuzzy programming models. This thesis presents the formulation of a two-reservoir system problem as a fuzzy L.P. model. The aim is to determine if larger monetary benefits, over and above the usual benefits, can be obtained from the system. The other aim is to determine if desired industrial and domestic water allocations, as well as outflows for selected periods can be achieved. The problem is formulated as a conventional L.P. model. Then selected water allocations and outflows are fuzzified resulting in a fuzzy L.P. model. The alternative fuzzy L.P. model is also presented. Monetary benefits larger than those from the conventional L.P. were obtained through the fuzzy L.P. model. The desired water allocations and outflows were also realised for selected periods. Sensitivity information was obtained for fuzzy and non-fuzzy constraints. The alternative fuzzy L.P. model did not give additional valuable information than that obtained from the initial fuzzy L.P. model.
Applied Science, Faculty of
Civil Engineering, Department of
Graduate

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King, James Allen. "Optimal reservoir operation for drought management." Ohio University / OhioLINK, 1990. http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1183649698.

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Buchanan, Crawford S. "Benders decomposition method in reservoir management." Thesis, University of Edinburgh, 1999. http://hdl.handle.net/1842/22790.

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Multi-stage stochastic linear programming provides a framework in which to model and solve decision making problems that contain uncertain data. In this thesis the main stages in the process of modelling and solving a large-scale multi-stage stochastic linear programme (MSLP) are examined. The principal motivation for this research is the study of the electricity generation network of Southern Brazil. This network contains a high proportion of hydro-electric generation plants, and so the stochasticity of the future inflows has a large influence on decisions. The formulation of MSLPS is difficult within existing algebraic modelling languages. Many MSLPs can be formulation as a set of recurrences. We present a new algebraic modelling language, sMAGIC, that uses the recursive definition of sub-models to aid in the specification of MSLPs. The Benders Decomposition algorithm exploits the sparse structure of MSLPs, achieving a considerable reduction in the time taken to solve MSLPs over direct solution methods, such as the simplex method. In addition, the basic Benders Decomposition algorithm can be extended and is well suited to parallelisation. We present results that show that some of the extensions to the basic algorithm improve the performance of the solver in all cases, while others provide improvements only for particular test problems. The research from our parallel implementation on a network of workstations give near linear speedups. Sampling techniques can be incorporated within the Benders Decomposition method. This allows an approximation to the solution of MSLPs that are too large to solve using Benders Decomposition to be obtained. A Benders Decomposition algorithm that incorporates Monte Carlo is guaranteed to converge asymptotically to the actual solution. To improve the speed of this algorithm, an additive approximation to the cost function is used to guide an importance sampling technique.

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Xie, Ming 1973. "Prediction of daily net inflows for management of reservoir systems." Thesis, McGill University, 2001. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=33043.

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Operational planning of water resource systems like reservoirs and hydropower plants calls for real-time forecasting of reservoir inflow. Reservoir daily inflow forecasts provide a warning of impending floods or drought conditions and help to optimize operating policies for reservoir management based on a fine time scale. The aim of this study was to determine the best model for daily reservoir inflow prediction through linear regression, exponential smoothing and artificial neural network (ANN) techniques. The Hedi reservoir, the third largest reservoir in south China with a 1.144 x 109 m 3, was selected as the study site. The performance of these forecasting models, in terms of forecasting accuracy, efficiency of model development and adaptability for future prediction, were compared to one another. All models performed well during the dry season (inflow with low variability), while the non-linear ANNs were superior to other models in frontal rainy season and typhoon season (inflow with high variability). The performance of ANN models were hardly affected by the high degree of uncertainty and variability inherent to the rainy season. Stepwise selection was very helpful in identifying significant variables for regression models and ANNs. This procedure reduced ANN's size and greatly improved forecasting accuracy for ANN models. The impact of training data series, model architecture and network internal parameters on ANNs performances were also addressed in this study. The overall evaluation indicates that ANNs are an effective and robust tool for input-output mapping under more extreme and variable conditions. ANNs provide an alternative forecasting approach to conventional time series forecasting models for daily reservoir inflow prediction.

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Adams, Lauren. "Optimized Reservoir Management for Downstream Environmental Purposes." Thesis, University of California, Davis, 2019. http://pqdtopen.proquest.com/#viewpdf?dispub=10973511.

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In regulated rivers, reservoir operation decisions largely determine downstream river temperature and flow. Computational methods can minimize the risk and uncertainty of making regrettable environmental release decisions and aid operations planning and performance prediction. Mathematical modeling in particular can optimize the timing and magnitude of reservoir release decisions for downstream benefit while accounting for seasonal uncertainty, water storage impact, and competing water demands. This dissertation uses optimization and modeling techniques, modifying traditional optimization modeling to include temporal correlation in outcome variables and incorporating long-term planning and risk management into prescribed reservoir operations. The proposed method is implemented in one case, a) with a state variable that tracks outcome benefits over time (fish population size) and, in another case, b) with a maximin stochastic dynamic program solution algorithm that maximizes net operational benefit and minimizes worst-case outcomes (for cold water habitat delivery). This method is particularly useful for environmental flow management, when the water quality and quantity of the river and reservoir in one time step affect the quantity and quality in the reservoir and the river for later periods. Better solutions with these methods internalize risk and hedge releases at the beginning of an operating season to maximize downstream benefit and reduce the probability of catastrophe for the season and future years. Maximizing the minimum cold-water habitat area over months of a season or multiple years, or maximizing a river indicator variable explicitly, could likely help, for example, maximize an out-migrating salmon smolt population downstream. The method is demonstrated with a case study optimizing environmental releases from Folsom Dam and another optimizing temperature management from Shasta Dam in northern California. These results inform general rules for environmental flow management and temperature management of reservoirs, with specific policy recommendations for both Folsom and Shasta reservoirs. In both cases, the added value from employing hedging rules help reservoir operations minimize the risk of environmental catastrophe and conserve storage both within an operating season and across years.

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Books on the topic "Reservoir management"

1

Nystad, Arild N. Petroleum-Reservoir Management: Reservoir Economics. Bergen: s.l., 1985.

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Tuce, Aras, ed. Reservoir sediment management. Boca Raton: CRC Press/Balkema, 2011.

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1934-, Jørgensen Sven Erik, ed. Lake and reservoir management. Amsterdam: Elsevier, 2005.

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Division, Alberta Water Management, ed. Reservoir lands guideline. [Edmonton]: Alberta Environment, Natural Resources Service, Water Management Division, 1999.

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Martinez, Patrick J. Coldwater reservoir ecology. Fort Collins, Colo: Colorado Division of Wildlife, Fish Research Section, 2008.

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Martinez, Patrick J. Coldwater reservoir ecology. Fort Collins, Colo: Colorado Division of Wildlife, Fish Research Section, 2003.

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Martinez, Patrick J. Coldwater reservoir ecology. Fort Collins, Colo: Colorado Division of Wildlife, Fish Research Section, 2007.

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Martinez, Patrick J. Coldwater reservoir ecology. Fort Collins, Colo: Colorado Division of Wildlife, Fish Research Section, 2007.

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Martinez, Patrick J. Coldwater reservoir ecology. Fort Collins, Colo: Colorado Division of Wildlife, Fish Research Section, 2007.

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Tennessee Valley Authority. Division of Air and Water Resources. Improving reservoir releases. Knoxville, Tenn: Tennessee Valley Authority, Office of Natural Resources and Economic Development, Division of Air and Water Resources, 1987.

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Book chapters on the topic "Reservoir management"

1

Bhattacharyya, Kumkum, and Vijay P. Singh. "Reservoir Sediment Management Strategies." In Reservoir Sedimentation, 195–236. Boca Raton : Taylor & Francis, a CRC title, part of the Taylor & Francis imprint, a member of the Taylor & Francis Group, the academic division of T&F Informa, plc, 2018.: CRC Press, 2019. http://dx.doi.org/10.1201/9781351027502-6.

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Pathak, Ashok K. "Reservoir Management Requirements." In Petroleum Reservoir Management, 73–111. Boca Raton: CRC Press, 2021. http://dx.doi.org/10.1201/9781003055709-3-3.

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Pathak, Ashok K. "Proactive Reservoir Management." In Petroleum Reservoir Management, 347–60. Boca Raton: CRC Press, 2021. http://dx.doi.org/10.1201/9781003055709-9-9.

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Kühn, Michael. "7 Reservoir Management." In Reactive Flow Modeling of Hydrothermal Systems, 189–208. Berlin, Heidelberg: Springer Berlin Heidelberg, 2001. http://dx.doi.org/10.1007/978-3-540-39678-9_7.

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Vazquez, Oscar. "Reservoir Scale Management." In Modelling Oilfield Scale Squeeze Treatments, 103–15. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-319-71852-1_7.

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Pathak, Ashok K. "Oilfield Water Management." In Petroleum Reservoir Management, 195–222. Boca Raton: CRC Press, 2021. http://dx.doi.org/10.1201/9781003055709-6-6.

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Pathak, Ashok K. "Petroleum Reservoir Lifecycle." In Petroleum Reservoir Management, 1–35. Boca Raton: CRC Press, 2021. http://dx.doi.org/10.1201/9781003055709-1-1.

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Pathak, Ashok K. "Reservoir Management Policy Framework." In Petroleum Reservoir Management, 163–93. Boca Raton: CRC Press, 2021. http://dx.doi.org/10.1201/9781003055709-5-5.

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Pathak, Ashok K. "Significance of Reservoir Health and Its Impact on Reservoir Performance." In Petroleum Reservoir Management, 113–62. Boca Raton: CRC Press, 2021. http://dx.doi.org/10.1201/9781003055709-4-4.

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Pathak, Ashok K. "Pricing of Crude Oil." In Petroleum Reservoir Management, 361–97. Boca Raton: CRC Press, 2021. http://dx.doi.org/10.1201/9781003055709-10-10.

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Conference papers on the topic "Reservoir management"

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Khan, Moin Uddin, and Jeffrey Guy Callard. "Reservoir Management in Unconventional Reservoirs." In SPE Hydrocarbon Economics and Evaluation Symposium. Society of Petroleum Engineers, 2010. http://dx.doi.org/10.2118/130146-ms.

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Jansen, Jan-Dirk, Roald Brouwer, and Sippe G. Douma. "Closed Loop Reservoir Management." In SPE Reservoir Simulation Symposium. Society of Petroleum Engineers, 2009. http://dx.doi.org/10.2118/119098-ms.

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Hon, Vai Yee, M. Faizzudin Mat Piah, Noor 'Aliaa M Fauzi, Peter Schutjens, Binayak Agarwal, and Rob Harris. "Integrated Reservoir Geomechanics Approach for Reservoir Management." In International Petroleum Technology Conference. IPTC, 2021. http://dx.doi.org/10.2523/iptc-21216-ms.

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Abstract An integrated 3D dynamic reservoir geomechanics model can provide a diverse 3D view of depletion-injection-induced field stress changes and the resulting deformation of both reservoir and overburden formations at various field locations. It enables the assessment of reservoir compaction, platform site subsidence, fault reactivation and caprock integrity associated with multiple production and injection reservoirs of the field. We demonstrated this integrated approach for a study field located in the South China Sea, Malaysia, which is planned for water injection for pressure support and EOR scheme thereafter. Reservoir fluid containment during water injection is an important concern because of the intensive geologic faulting and fracturing in the collapsed anticlinal structure, with some faults extending from the reservoirs to shallow depths at or close to the seafloor. Over 30 simulations were done, and most input parameters were systematically varied to gain insight in their effect on result that was of most interest to us: The tendency of fault slip as a function of our operation-induced variations in pore pressure in the reservoir rocks bounding the fault, both during depletion and injection. The results showed that depletion actually reduces the risk of fault slip and of the overburden, while injection-induced increase in pore fluid pressure will lead to a significant increase in the risk of fault slip. Overall, while depletion appears to stabilize the fault and injection appears to destabilize the fault, no fault slip is predicted to occur, not even after a 900psi increase in pore pressure above the pore pressure levels at maximum depletion. We present the model results to demonstrate why depletion and injection have such different effects on fault slip tendency. The interpretation of these geomechanical model results have potential applications beyond the study field, especially for fields with a similar geology and development plan. This is a novel application of 3D dynamic reservoir geomechanics model that cannot be obtained from 1D analytical models alone.

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Morrison, G. R., and F. Gorjy. "Saladin Reservoir Management." In SPE Asia-Pacific Conference. Society of Petroleum Engineers, 1991. http://dx.doi.org/10.2118/22964-ms.

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Gencer, Sait, Benjamin P. Ketcherside, Glenn Odis Morrell, Eric Mulkay, and Klauss D. Wiegand. "Data Management in Reservoir Simulation." In SPE Reservoir Simulation Symposium. Society of Petroleum Engineers, 2007. http://dx.doi.org/10.2118/106075-ms.

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Aydin, Hakki, Nirup Nagabandi, Cenk Temizel, and Diyar Jamal. "Heavy Oil Reservoir Management - Latest Technologies and Workflows." In SPE Western Regional Meeting. SPE, 2022. http://dx.doi.org/10.2118/209328-ms.

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Abstract Successful heavy oil reservoir management practices, are built on analyzing and accurately predicting the reservoir behavior over time. To enable these practices, the critical component that assures their success is a thorough understanding of reservoir physics. Given the complex nature of heavy oil reservoirs including geomechanical properties, fluid flow behavior, etc., there is a need to develop a repeatable technique that can account for these complexities within an acceptable margin of accuracy. The objective of this study is to conduct a comprehensive review of all the latest technologies and workflows developed for heavy oil reservoir management, so that, it can be used as a single source of reference for the industry. The latest technologies for heavy oil reservoir management, their underlying principles, along with the advantages and limitations for each of the methods in real-world applications, have been reviewed from different parts of the globe. Based on this review, conclusions have been drawn that help select the best criteria for using the latest heavy oil reservoir management techniques. The primary component of successfully applying heavy oil reservoir management methods, lies in accurately representing the reservoir physics. These components include petrophysical properties, fluid flow and geological properties of a given formation. In addition to outlining each of these components, an emphasis has been given to highlight the important criteria that enable the successful application of these methods to a given area. As such, the study will be an information repository catered to assist in developing robust reservoir management workflows for heavy oil reservoirs. While there are other reference, with examples, on heavy oil reservoir management; the uniqueness of this study lies in summarizing key lessons learned from real-field applications of these methods. Within a single source or reference, this study has given the specific focus on summarizing various aspects that are important to successful heavy oil reservoir management processes.

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Gaber, Nabil Salah, Samuel C. Hughes, Hassan A. A. Afify, Douglas T. Stoner, Gabriel T. Artigas, and Gary M. Mercado. "3D-Reservoir Characterization and Reservoir Management Study." In SPE Annual Technical Conference and Exhibition. Society of Petroleum Engineers, 2001. http://dx.doi.org/10.2118/71328-ms.

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Pinto, Marcio Augusto Sampaio, Mohammadreza Ghasemi, Nadav Sorek, Eduardo Gildin, and Denis José Schiozer. "Hybrid Optimization for Closed-Loop Reservoir Management." In SPE Reservoir Simulation Symposium. Society of Petroleum Engineers, 2015. http://dx.doi.org/10.2118/173278-ms.

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Thakur, Ganesh C. "Heavy Oil Reservoir Management." In Latin American and Caribbean Petroleum Engineering Conference. Society of Petroleum Engineers, 1997. http://dx.doi.org/10.2118/39233-ms.

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Saputelli, L., M. Nikolaou, and M. J. Economides. "Self-Learning Reservoir Management." In SPE Annual Technical Conference and Exhibition. Society of Petroleum Engineers, 2003. http://dx.doi.org/10.2118/84064-ms.

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Reports on the topic "Reservoir management"

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Martin, F. D., A. Ouenes, W. W. Weiss, and A. Chawathe. Reservoir management applications to oil reservoirs. Office of Scientific and Technical Information (OSTI), February 1996. http://dx.doi.org/10.2172/269032.

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Bergeron, Jack, Tom Blasingame, Louis Doublet, Mohan Kelkar, George Freeman, Jeff Callard, David Moore, et al. APPLICATION OF INTEGRATED RESERVOIR MANAGEMENT AND RESERVOIR CHARACTERIZATION. Office of Scientific and Technical Information (OSTI), March 2000. http://dx.doi.org/10.2172/829676.

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Koerner, Roy, Don Clarke, and Scott Walker. Increasing Waterflooding Reservoirs in the Wilmington Oil Field through Improved Reservoir Characterization and Reservoir Management. Office of Scientific and Technical Information (OSTI), November 1999. http://dx.doi.org/10.2172/14439.

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Clarke, Don, Roy Koerner, Dan Moos, John Nguyen, Chris Phillips, Kwasi Tagbor, and Scott Walker. Increasing Waterflooding Reservoirs in the Wilmington Oil Field through Improved Reservoir Characterization and Reservoir Management. Office of Scientific and Technical Information (OSTI), November 1999. http://dx.doi.org/10.2172/14446.

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Morris, Gregory, Travis Dahl, Marielys Ramos-Villanueva, James Leech, and Meg Jones. Sustainable sediment management at US Army Corps of Engineers reservoirs. Engineer Research and Development Center (U.S.), February 2023. http://dx.doi.org/10.21079/11681/46470.

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The US Army Corps of Engineers (USACE) maintains and operates 419 reservoirs nationwide for diverse purposes. This infrastructure is essential to the nation’s continued economic progress and provides numerous benefits. Sedimentation in reservoirs causes the loss of storage capacity, leading to interference with operations, reduction of project benefits, and eventual rendering of project operation technically infeasible or uneconomical. All reservoirs trap sediment, and sustainable long-term operation can be achieved only if sedimentation is managed. With many of the USACE reservoirs now reaching 50 years of age, sedimentation is starting to encroach on the beneficial pools. Under the paradigm of sustainable use, it is important to identify and implement strategies to sustain reservoir operation in the long term, beyond the period contemplated in the original project design life. This report outlines the major types of sediment management strategies available for reservoirs. Because the rate of new reservoir construction by USACE is very low, this report focuses on remedial strategies at existing reservoirs and presents a general methodology for the preliminary analysis of such sites. This report examines four example USACE reservoirs with known sedimentation issues to highlight the types of problems encountered and the development of strategies that can lead to sustainable use.

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Koerner, Roy, Don Clarke, Scott Walker, Chris Phillips, John Nguyen, Dan Moos, and Kwasi Tagbor. Increasing Waterflooding Reservoirs in the Wilmington Oil Field through Improved Reservoir Characterization and Reservoir Management, Class III. Office of Scientific and Technical Information (OSTI), August 2001. http://dx.doi.org/10.2172/784131.

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Ortiz, I., and R. Anthony. Underground natural gas storage reservoir management. Office of Scientific and Technical Information (OSTI), June 1995. http://dx.doi.org/10.2172/70175.

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P. K. Pande. Application of Integrated Reservoir Management and Reservoir Characterization to Optimize Infill Drilling. Office of Scientific and Technical Information (OSTI), October 1998. http://dx.doi.org/10.2172/1305.

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B. Pregger, D. Davies, D. Moore, G. Freeman, J. Callard, J.W. Nevans, L. Doublet, R. Vessell, and T. Blasingame. Application of Integrated Reservoir management and Reservoir Characterization to Optimize Infill Drilling. Office of Scientific and Technical Information (OSTI), August 1997. http://dx.doi.org/10.2172/1589.

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Shelley, John, Paul Boyd, Stanford Gibson, Ian Floyd, Blair Greimann, Marielys Ramos-Villanueva, and Travis Dahl. Reservoir sediment management and analysis workshop for engineers. Engineer Research and Development Center (U.S.), November 2019. http://dx.doi.org/10.21079/11681/34503.

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