Relevant bibliographies by topics / Reservoir

Contents

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

Academic literature on the topic 'Reservoir'

Author: Grafiati
Published: 4 June 2021
Last updated: 31 July 2024

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Journal articles on the topic "Reservoir"

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Fitriana, Indri Rahmandhani, Djoko Legono, and Heriantono Waluyadi. "Reservoir sedimentation regime analysis: case study of Kedungombo reservoir and Sermo reservoir." MEDIA KOMUNIKASI TEKNIK SIPIL 27, no. 1 (August 20, 2021): 80–87. http://dx.doi.org/10.14710/mkts.v27i1.35978.

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The Kedungombo and the Sermo Reservoirs have problems in fulfilling basic services because of sedimentation. Sedimentation that occurs in each of the reservoirs would form a specific reservoir sedimentation pattern that is supposed to be similar because the hydrology and physiography conditions of the reservoir's catchment area are similar. This study aims to determine the dynamics of sedimentation patterns that occur in the dead storage for reviewing the characteristics/sedimentation regime of the two reservoirs. The analysis was carried out by processing bathymetrical data which were processed into a digital terrain model (DTM) using ArcGIS. Furthermore, the storage volume, sedimentation volume, storage percentage, and specific reservoir sedimentation rate are calculated. The results showed that the two reservoirs showed an increase in sedimentation volume each year so that the reservoir characteristic curve shifted from the plan graph. The dead storage capacity of Kedungombo Reservoir is 100% in 1989 to 43% in 2016 and 100% of Sermo Reservoir in 1997 to 58% in 2011. The specific reservoir sedimentation rate, i.e. 0.0031 and 0.0042 million m3/year/km2 for the Kedungombo Reservoir (between 1989 and 2016) and the Sermo Reservoir (between 1997 and 2011) respectively, indicating that the two reservoirs are in the same regime
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Iqbal, Khairul, Moh Abduh, and ,. Variadi. "Simulation of Multi Reservoir Operation Rules with Interconnected Tunnel and Water Transfer." Aceh International Journal of Science and Technology 12, no. 2 (September 5, 2023): 285–96. http://dx.doi.org/10.13170/aijst.12.2.32532.

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The multi-reservoir operation rules require accuracy in developing its technical parameters. This is done to prevent operational failure in one of the reservoirs. The water transfer concept is to manage the water resources distribution between the receiving watershed and the donor watershed. The availability of transferable water must be prioritized, meeting the water demand of the donor reservoir. Storage capacity in both reservoirs aims to meet water demand, especially in the recipient. The elevation of the interconnecting tunnel is the minimum limit for water use in simulation. The interconnected tunnels' location and capacity will determine the multi-reservoir's operation rule. The interconnected tunnel in the Rukoh Tiro reservoir transfers water in the operation of the two reservoirs. The simulation is carried out in three seasons, considering the inflow of each watershed, the reservoir's downstream water demand, and the reservoir's technical conditions. The simulation results of the Rukoh Tiro reservoir operated simultaneously in all three seasons show that the fulfillment of irrigation water demand can reach 100% as needed. The water transfer process through interconnected tunnels occurs throughout the year. The reservoir operating rule is expected to be a reference in the multi-reservoir operation to obtain an optimal reservoir operating rule.
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Khaydarov, Aziz, Tursunoy Apakxujayeva, and Dinislam Atakulov. "Influence of geographical location on reservoir vegetation formation." E3S Web of Conferences 401 (2023): 01013. http://dx.doi.org/10.1051/e3sconf/202340101013.

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The paper provides information on the vegetation cover area on the reservoir bottom. In the growing shortage of water resources, one of the important tasks is to improve methods for estimating reservoir volume. The vegetation cover of reservoirs influences the quality of the water supply. While the bottom of some reservoirs is drained, this bottom is covered with vegetation, but this trend is not observed in all reservoirs. The Talimarjan and Charvak reservoirs were selected as study sites. As a method, spatial data were selected that were collected using GIS. The results have shown that when the Talimarjan Reservoir is impounded, a considerable part of the reservoir is covered by vegetation of different species, while the bottom of the Charvak Reservoir remains without vegetation. The intensity of eutrophication processes in the reservoir may cause excess nutrients and change the reservoir’s water quality in the near future. To prevent such a situation, reducing the number of plants in the reservoir and increasing water exchange is necessary.
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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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Su, Chang, Gang Zhao, Yee-Chung Jin, and Wanju Yuan. "Semi-Analytical Modeling of Geological Features Based Heterogeneous Reservoirs Using the Boundary Element Method." Minerals 12, no. 6 (May 24, 2022): 663. http://dx.doi.org/10.3390/min12060663.

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The objective of this work is to innovatively apply the boundary element method (BEM) as a general modeling strategy to deal with complicated reservoir modeling problems, especially those related to reservoir heterogeneity and fracture systems, which are common challenges encountered in the practice of reservoir engineering. The transient flow behaviors of reservoirs containing multi-scale heterogeneities enclosed by arbitrarily shaped boundaries are modeled by applying BEM. We demonstrate that a BEM-based simulation strategy is capable of modeling complex heterogeneous reservoirs with robust solutions. The technology is beneficial in making the best use of geological modeling information. The governing differential operator of fluid flow within any locally homogeneous domain is solved along its boundary. The discretization of a reservoir system is only made on the corresponding boundaries, which is advantageous in closely conforming to the reservoir’s geological description and in facilitating the numerical simulation and computational efforts because no gridding within the flow domain is needed. Theoretical solutions, in terms of pressure and flow rate responses, are validated and exemplified for various reservoir–well systems, including naturally fractured reservoirs with either non-crossing fractures or crossing fractures; fully compartmentalized reservoirs; and multi-stage, fractured, horizontal wells with locally stimulated reservoir volumes (SRVs) around each stage of the fracture, etc. A challenging case study for a complicated fracture network system is examined. This work demonstrates the significance of adapting the BEM strategy for reservoir simulation due to its flexibility in modeling reservoir heterogeneity, analytical solution accuracy, and high computing efficiency, in reducing the technical gap between reservoir engineering practice and simulation capacity.
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Van Den Hoek, Jamon, Augusto Getirana, Hahn Jung, Modurodoluwa Okeowo, and Hyongki Lee. "Monitoring Reservoir Drought Dynamics with Landsat and Radar/Lidar Altimetry Time Series in Persistently Cloudy Eastern Brazil." Remote Sensing 11, no. 7 (April 6, 2019): 827. http://dx.doi.org/10.3390/rs11070827.

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Tropical reservoirs are critical infrastructure for managing drinking and irrigation water and generating hydroelectric power. However, long-term spaceborne monitoring of reservoir storage is challenged by data scarcity from near-persistent cloud cover and drought, which may reduce volumes below those in the observational record. In evaluating our ability to accurately monitor long-term reservoir volume dynamics using spaceborne data and overcome such observational challenges, we integrated optical, lidar, and radar time series to estimate reservoir volume dynamics across 13 reservoirs in eastern Brazil over a 12-year (2003–2014) period affected by historic drought. We (i) used 1560 Landsat images to measure reservoir surface area; (ii) built reservoir-specific regression models relating surface area and elevation from ICESat GLAS and Envisat RA-2 data; (iii) modeled volume changes for each reservoir; and (iv) compared modeled and in situ reservoir volume changes. Regression models had high goodness-of-fit (median RMSE = 0.89 m and r = 0.88) across reservoirs. Even though 88% of an average reservoir’s volume time series was based on modeled area–elevation relationships, we found exceptional agreement (RMSE = 0.31 km3 and r = 0.95) with in situ volume time series, and accurately captured seasonal recharge/depletion dynamics and the drought’s prolonged drawdown. Disagreements in volume dynamics were neither driven by wet/dry season conditions nor reservoir capacity, indicating analytical efficacy across a range of monitoring scenarios.
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Valluri, Manoj Kumar, Jimin Zhou, Srikanta Mishra, and Kishore Mohanty. "CO2 Injection and Enhanced Oil Recovery in Ohio Oil Reservoirs—An Experimental Approach to Process Understanding." Energies 13, no. 23 (November 26, 2020): 6215. http://dx.doi.org/10.3390/en13236215.

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Process understanding of CO2 injection into a reservoir is a crucial step for planning a CO2 injection operation. CO2 injection was investigated for Ohio oil reservoirs which have access to abundant CO2 from local coal-fired power plants and industrial facilities. In a first of its kind study in Ohio, lab-scale core characterization and flooding experiments were conducted on two of Ohio’s most prolific oil and gas reservoirs—the Copper Ridge dolomite and Clinton sandstone. Reservoir properties such as porosity, permeability, capillary pressure, and oil–water relative permeability were measured prior to injecting CO2 under and above the minimum miscibility pressure (MMP) of the reservoir. These evaluations generated reservoir rock-fluid data that are essential for building reservoir models in addition to providing insights on injection below and above the MMP. Results suggested that the two Ohio reservoirs responded positively to CO2 injection and recovered additional oil. Copper Ridge reservoir’s incremental recovery ranged between 20% and 50% oil originally in place while that of Clinton sandstone ranged between 33% and 36% oil originally in place. It was also deduced that water-alternating-gas injection schemes can be detrimental to production from tight reservoirs such as the Clinton sandstone.
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Amer, Manar M., and Dahlia A. Al-Obaidi. "Methods Used to Estimate Reservoir Pressure Performance: A Review." Journal of Engineering 30, no. 06 (June 1, 2024): 83–107. http://dx.doi.org/10.31026/j.eng.2024.06.06.

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Reservoir pressure plays a significant role in all reservoir and production engineering studies. It is crucial to characterize petroleum reservoirs: by detecting fluid movement, computing oil in place, and calculating the recovery factor. Knowledge of reservoir pressure is essential for predicting future production rates, optimizing well performance, or planning enhanced oil recovery strategies. However, applying the methods to investigate reservoir pressure performance is challenging because reservoirs are large, complex systems with irregular geometries in subsurface formations with numerous uncertainties and limited information about the reservoir's structure and behavior. Furthermore, many computational techniques, both numerical and analytical, have been utilized to examine reservoir pressure performance. This paper summarizes the concepts and applications of traditional and novel ways to investigate reservoir pressure changes over time. It provides a comprehensive review that assists the reader in recognizing and distinguishing between various techniques for obtaining an accurate description of reservoir pressure behavior during production, such as the reservoir simulation method, material balance equation approach, time-lapse seismic data, and modern artificial intelligence methods. Thus, the central concept of these procedures and a list of the authors' research are discussed.
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Baljyan, Pargev, Arestak Sarukhanyan, and Eleonora Avanesyan. "Study of sediment deposition processes and assessment of the change in the W-H characteristics of the madaghis reservoir." EUREKA: Physics and Engineering, no. 1 (January 19, 2023): 3–12. http://dx.doi.org/10.21303/2461-4262.2023.002757.

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The accumulation of sediments in reservoir is always a problem. Over time, these accumulations occupy the volume meant for water management, dramatically reducing the reservoir's effectiveness. The environment of the river basin below the reservoir undergoes significant changes. In this regard, assessing changes in volumetric W-H characteristics, particularly in reservoirs built on high turbidity rivers, is critical. The Mataghis Reservoir on Tartar River was chosen as the object of study. The quantity of accumulated sediments was established by original measurements and was calculated in three hydrologic ways at distinct stages of operation. The actual graphs showing the reservoir's W-H volumetric characteristics were made two decades after commissioning and are still in use. According to the findings, over 70 per cent of the reservoir volume has been filled with sediments over the course of the reservoir's thirty-year operation. A theoretical model of the sediment buildup process in basins has been created. Separate parameters have been created for the deposition of bottom sediments entering the reservoir and suspended particles in the flow. Based on them, the patterns of distribution of accumulated sediments according to the length and height of the reservoir were drawn out. The vertical pulsation velocity and the results of studies for determining the minimum rate of soil particle flow were used. To solve sedimentation problems in operating and newly constructed reservoirs, a methodology for evaluating changes in the amount of collected water and changes in the volume of water control, as well as a theoretical method for projecting their future behavior, can be applied
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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 paper put forward the static and dynamic weight calculation methods of the system safety degree, and developed a joint flood control operation model of reservoir groups with the goal of minimizing downstream flood volume and maximizing system safety degree of reservoir groups. We studied the flood control effect of two operation strategies, the static weight piecewise linear strategy and the dynamic weight piecewise linear strategy, on downstream flood control station under 100-year design flood condition in 1998. The results showed that the dynamic weight piecewise linear strategy can give full play to the role of each controlling reservoir in flood control operation at flood season.
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Dissertations / Theses on the topic "Reservoir"

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AlBinHassan, Nasher M. "Reservoir properties prediction in carbonate reservoirs." Thesis, Imperial College London, 2010. http://hdl.handle.net/10044/1/5922.

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Prediction of fluid pressure before drilling, using geophysical methods helps the industry a lot in saving human life, drilling hazards, and equipments.There are several geophysical methods available to predict the fluid pressure before drilling but the most commonly used in the industry are those based on seismic velocities. However, seismic velocities methods are applied on clastic reservoirs with the assumptions that the pressure mechanism is due to mechanical compaction. A major exploration challenge is to successfully predict the presence of high pressure zones in the carbonate reservoirs. Carbonate reservoirs have a more complicated internal structure than clastic reservoirs. The main objective of this study is to predict the carbonate reservoir properties such as porosity and fluid pressure. The new prediction methods that I used in this thesis are called the artificail intelligent algorithms. These algorithms are better than the conventional geophysical methods because of their ability to explore complex relationships between the input seismic attributes and the predicted properties. The algorithms include artificial neural networks and group methods of data handling. Empirical equations from seismic prediction methods were used to transform velocities to fluid pressure. High resolution velocites (wavefrom tomography) proved that better prediction can be achieved when using better input velocity. The velocity methods performed a nice prediction when used with clastic seismic data but proved to give unreliable results when used with the carbonate seismic data. This was because of the difficult internal structure of carbonate reservoirs. The neural network methods proved that they are robust in clustering and segmenting the input carbonate seismic data. The usage of more input seismic attributes made the neural network methods better than the conventional velocity methods. Also, this gave the neural network methods more information about the same physical reservoir property. Among the different seismic attributes used in the experiment, seismic inversion and coherence attributes showed good reaction to high pressure zones. Porosity results from the supervised neural network method were used as a guide to the unsupervised neural network method to predict fluid pressure. The group method of data handling algorithm is performed here for the first time with seismic data to predict the reservoir properties. The new method showed faster and easier prediction than the neural network methods. The automation of the new method yields to better porosity and pore pressure prediction.
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Whaballa, Ala. "Reservoir simulation and well testing of compartmentalized reservoirs." Thesis, Heriot-Watt University, 1991. http://hdl.handle.net/10399/1493.

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Dickey, Richard Jason Bayne David Roberge. "Oligotrophication effects following diversion of waste effluent from an embayment of Lake Martin, Alabama." Auburn, Ala., 2006. http://repo.lib.auburn.edu/2006%20Fall/Theses/DICKEY_RICHARD_7.pdf.

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PETER, COSTANZO. "Capturing reservoir production uncertainty for channelized reservoirs using channel amalgamation indexes." Doctoral thesis, Politecnico di Torino, 2016. http://hdl.handle.net/11583/2644036.

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One of the main concerns in reservoir studies is to accurately define the internal architecture and the geological characteristics of the reservoir so as to estimate the amount of hydrocarbons that could be recovered for a given development strategy. This can represent a major challenge especially during the appraisal stage of a reservoir, because the information available is still very limited, or in the presence of geological heterogeneities, which increase the architectural complexity and the uncertainty associated to the internal description, such as in channelized depositional settings. At the appraisal stage of a reservoir study, all the uncertainties affecting the quantity and distribution of hydrocarbons in the reservoir should be captured and accounted for in the evaluation of the final hydrocarbon recovery to properly assess the viability of any development plan. A typical modeling workflow accounting for geological uncertainties consists in creating a large set of 3-D stochastic geological (static) models from a set of geological input parameters. Subsequently, a few representative reservoir realizations are selected out of this set based on the calculated hydrocarbons originally in place and simulated to estimate future production so as to propagate the uncertainty onto the final recovery factors. However, even in homogeneous reservoirs, the estimation of the hydrocarbon stored in the reservoir can be affected by uncertainties because it is calculated mostly from local petrophysical parameters, which might not be representative of the rock properties at the reservoir scale. This especially applies to channelized reservoirs characterized by depositional elements with high geological heterogeneity, both in the lateral and in the vertical directions. Thus for these depositional settings a more attractive criterion for the model selection is offered by the study of the connectivity layout of the reservoir elements. In the technical literature, connectivity is defined through numerical indexes that account for geological connectivity between reservoir elements, which might not be indicative of reservoir production performance. In fact, the latter is influenced by the degree of connectivity among sand bodies and only deep merging of the channels guarantees that the reservoir can be efficiently drained by just a few wells. Therefore, in the first place, the present study was aimed at thoroughly investigating the validity of the indexes previously proposed in the technical literature by evaluating the reservoir production uncertainty associated to sets of synthetic equi-probable models of channelized oil reservoirs. Secondly, the goal of the research was to develop new indexes to express the channel connectivity, capable of incorporating information on the quality of the connectivity through the evaluation of channel amalgamation. When applied to the same set of reservoir equi-probable realizations, these indexes proved that a more effective selection of the geological realizations can be made to capture the uncertainty affecting the forecasted reservoir production performance.
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Duruewuru, Anthony U. "Thermodynamic analysis of transient two-phase flow in oil and gas reservoirs /." Full-text version available from OU Domain via ProQuest Digital Dissertations, 1985.

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Raza, Arshad. "Reservoir Characterization for CO2 Injectivity and Flooding in Petroleum Reservoirs, offshore Malaysia." Thesis, Curtin University, 2017. http://hdl.handle.net/20.500.11937/57524.

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Reservoir characterization of the Malaysian gas reservoir for CO2 storage is carried out at preliminary and comprehensive level to provide insight into the storage capacity, injectivity, trapping mechanisms (structural, capillary, dissolution, and mineral), and containment. Screening tools are proposed in this study for the selections of reservoir, injection well, and injection zone along with CO2 residual trapping novel method, experimental assessment of compaction effect and numerical modeling scheme to improve the reservoir characterization.
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Sagar, Rajiv K. "Reservoir description by integration of well test data and spatial statistics /." Access abstract and link to full text, 1993. http://0-wwwlib.umi.com.library.utulsa.edu/dissertations/fullcit/9416603.

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周潤堂 and Yun-tong Chow. "Pokfulam Reservoir Park." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 1995. http://hub.hku.hk/bib/B31980557.

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Yeoh, Jin Shaun. "Reservoir sedimentation control." Thesis, University of Bristol, 2005. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.412359.

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Siyam, Ahmed Musa. "Reservoir sedimentation control." Thesis, University of Bristol, 2000. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.324265.

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Books on the topic "Reservoir"

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W, Thornton Kent, Kimmel Bruce L, and Payne Forrest E, eds. Reservoir limnology. New York: Wiley, 1990.

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United States. Bureau of Reclamation. Sedimentation and River Hydraulics Group, ed. Nelson Reservoir 1999 reservoir survey. Denver, Colo: U.S. Dept. of the Interior, Bureau of Reclamation, Technical Service Center, Water Resources Services, Sedimentation and River Hydraulics Group, 2001.

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United States. Bureau of Reclamation. Sedimentation and River Hydraulics Group, ed. Bully Creek Reservoir: 2000 reservoir survey. Denver, Colo: Sedimentation and River Hydraulics Group, Water Resources Services, Technical Service Center, Bureau of Reclamation, U.S. Dept. of the Interior, 2001.

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Ferrari, R. L. (Ronald L.) and United States. Bureau of Reclamation. Sedimentation and River Hydraulics Group, eds. Caballo Reservoir: 1999 sedimentation survey. Denver, Colo: Sedimentation and River Hydraulics Group, Water Resources Services, Technical Service Center, 2000.

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United States. Bureau of Reclamation. Sedimentation and River Hydraulics Group, ed. Shadehill Reservoir: 1993 sedimentation survey. Denver, Colo: Sedimentation and River Hydraulics Group, Water Resources Services, Technical Service Center, 1995.

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United States. Bureau of Reclamation. Sedimentation and River Hydraulics Group, ed. Caballo Reservoir 2007 sedimentation survey. Denver, Colo: U.S. Dept. of the Interior, Bureau of Reclamation, Technical Service Center, Water and Environmental Resources Division, Sedimentation and River Hydraulics Group, 2008.

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United States. Bureau of Reclamation. Sedimentation and River Hydraulics Group, ed. Cascade Reservoir: 1995 sedimentation survey. Denver, Colo: U.S. Bureau of Reclamation, Sedimentation and River Hydraluics Group, Water Resources Services, Technical Service Center, 1998.

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Sydansk, Robert D. Reservoir conformance improvement. Richardson, TX: Society of Petroleum Engineers, 2011.

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United States. Bureau of Reclamation. Sedimentation and River Hydraulics Group, ed. Beulah Reservoir: 2000 reservoir survey. Denver, Colo: Sedimentation and River Hydraulics Group, Water Resources Services, Technical Service Center, Bureau of Reclamation, U.S. Dept. of the Interior, 2001.

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United States. Bureau of Reclamation. Sedimentation and River Hydraulics Group, ed. Gibson Reservoir 1996 sedimentation survey. Denver, Colo: Sedimentation and River Hydraulics Group, Water Resources Services, Technical Service Center, 1997.

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Book chapters on the topic "Reservoir"

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Tate, Naoya. "Quantum-Dot-Based Photonic Reservoir Computing." In Photonic Neural Networks with Spatiotemporal Dynamics, 71–87. Singapore: Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-5072-0_4.

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AbstractReservoir computing is a novel computational framework based on the characteristic behavior of recurrent neural networks. In particular, a recurrent neural network for reservoir computing is defined as a reservoir, which is implemented as a fixed and nonlinear system. Recently, to overcome the limitation of data throughput between processors and storage devices in conventional computer systems during processing, known as the Von Neumann bottleneck, physical implementations of reservoirs have been actively investigated in various research fields. The author’s group has been currently studying a quantum dot reservoir, which consists of coupled structures of randomly dispersed quantum dots, as a physical reservoir. The quantum dot reservoir is driven by sequential signal inputs using radiation with laser pulses, and the characteristic dynamics of the excited energy in the network are exhibited with the corresponding spatiotemporal fluorescence outputs. We have presented the fundamental physics of a quantum dot reservoir. Subsequently, experimental methods have been introduced to prepare a practical quantum dot reservoir. Next, we have presented the experimental input/output properties of our quantum dot reservoir. Here, we experimentally focused on the relaxation of fluorescence outputs, which indicates the characteristics of optical energy dynamics in the reservoir, and qualitatively discussed the usability of quantum dot reservoirs based on their properties. Finally, we have presented experimental reservoir computing based on spatiotemporal fluorescence outputs from a quantum dot reservoir. We consider that the achievements of quantum dot reservoirs can be effectively utilized for advanced reservoir computing.
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Leppla, Norman C., Bastiaan M. Drees, Allan T. Showler, John L. Capinera, Jorge E. Peña, Catharine M. Mannion, F. William Howard, et al. "Reservoir." In Encyclopedia of Entomology, 3167. Dordrecht: Springer Netherlands, 2008. http://dx.doi.org/10.1007/978-1-4020-6359-6_3358.

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Weik, Martin H. "reservoir." In Computer Science and Communications Dictionary, 1477. Boston, MA: Springer US, 2000. http://dx.doi.org/10.1007/1-4020-0613-6_16183.

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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, 1186–94. Singapore: 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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Trimble, S. W., B. Wilson, Reginald Herschy, Bijan Dargahi, Hubert Chanson, Reginald W. Herschy, Reginald W. Herschy, et al. "Reservoir Capacity." In Encyclopedia of Lakes and Reservoirs, 626–28. Dordrecht: Springer Netherlands, 2012. http://dx.doi.org/10.1007/978-1-4020-4410-6_141.

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Trimble, S. W., B. Wilson, Reginald Herschy, Bijan Dargahi, Hubert Chanson, Reginald W. Herschy, Reginald W. Herschy, et al. "Reservoir Sedimentation." In Encyclopedia of Lakes and Reservoirs, 628–49. Dordrecht: Springer Netherlands, 2012. http://dx.doi.org/10.1007/978-1-4020-4410-6_215.

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Weber, Markus, Monika Prasch, Michael Kuhn, Astrid Lambrecht, and Wilfried Hagg. "Ice Reservoir." In Regional Assessment of Global Change Impacts, 109–15. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-16751-0_12.

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Ledru, Patrick, and Laurent Guillou Frottier. "Reservoir Definition." In Geothermal Energy Systems, 1–36. Weinheim, Germany: Wiley-VCH Verlag GmbH & Co. KGaA, 2010. http://dx.doi.org/10.1002/9783527630479.ch1.

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Pandey, Yogendra Narayan, Ayush Rastogi, Sribharath Kainkaryam, Srimoyee Bhattacharya, and Luigi Saputelli. "Reservoir Engineering." In Machine Learning in the Oil and Gas Industry, 195–222. Berkeley, CA: Apress, 2020. http://dx.doi.org/10.1007/978-1-4842-6094-4_6.

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Weik, Martin H. "toner reservoir." In Computer Science and Communications Dictionary, 1796. Boston, MA: Springer US, 2000. http://dx.doi.org/10.1007/1-4020-0613-6_19740.

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Conference papers on the topic "Reservoir"

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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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Cipolla, Craig L., Elyezer Lolon, James C. Erdle, and Barry Rubin. "Reservoir Modeling in Shale-Gas Reservoirs." In SPE Eastern Regional Meeting. Society of Petroleum Engineers, 2009. http://dx.doi.org/10.2118/125530-ms.

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Guehria, Fawzi M., Shareen Yawanarajah, and Mahieddine Touami. "Reservoir Characterization of Fractured Cambrian Reservoirs." In SPE Annual Technical Conference and Exhibition. Society of Petroleum Engineers, 2005. http://dx.doi.org/10.2118/96955-ms.

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Baker, Richard O., and Frank Kuppe. "Reservoir Characterization for Naturally Fractured Reservoirs." In SPE Annual Technical Conference and Exhibition. Society of Petroleum Engineers, 2000. http://dx.doi.org/10.2118/63286-ms.

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Reeves, Scott, and Larry Pekot. "Advanced Reservoir Modeling In Desorption-Controlled Reservoirs." In SPE Rocky Mountain Petroleum Technology Conference. Society of Petroleum Engineers, 2001. http://dx.doi.org/10.2118/71090-ms.

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Shedid, S. A., and R. A. Almehaideb. "Enhanced Reservoir Description of Heterogeneous Carbonate Reservoirs." In Canadian International Petroleum Conference. Petroleum Society of Canada, 2001. http://dx.doi.org/10.2118/2001-009.

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Markou, N., and P. Papanastasiou. "3D Geomechanical Reservoir Modelling in Faulted Reservoirs." In International Geomechanics Symposium. ARMA, 2022. http://dx.doi.org/10.56952/igs-2022-167.

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Abstract In this study, we present a three-dimensional (3D) geomechanical reservoir model for a faulted and compartmentalized reservoir in the Eastern Mediterranean. A series of alternative production scenarios performed using a simulation model that accounts for consolidation and plasticity deformation of the rocks. Plastic yielding is mainly developed in fault slip zones of narrow extent whereas it appears that there is low risk of plastic behavior in the main reservoir. The slip conditions become complex in the fault contact surfaces where local areas close to fault connections are more pronounced to slip creating localized areas of smaller faulted zones. Displacement magnitudes, are controlled by the structural boundary conditions and the geometrical shape of each fault block. Overall, the higher displacements develop in the near fault region while in the remote from the fault area the vertical displacement is nearly constant as it is clearly governed by the reservoir depletion. Furthermore, changes of normalized permeability can be drawn in the 3D space providing additional insights of heterogeneous distribution. Introduction Petroleum geomechanics become important in reservoirs highly impacted by faults mechanics and overpressure zones. An operator has to well define the fault structural geometry of the field and assess early in the producing life of a reservoir whether production will be affected by the presence of naturally occurring fractures though some faults and fractures cannot be identified even at the early stages of a field production. Reservoir depletion increases the stress carried by the load-bearing grain frame of the reservoir rock. Stress analysis can be extended to identify rock failure conditions that can lead to the creation of new faulted systems in the subsurface formations. Geomechanics play an important role in identifying the stress conditions in a faulted reservoir system and the potential of slip activation of an existing fault. Extensive accounts on the importance of reservoir geomechanics can be found in the classical books of Fjaer et al., (2008) and Zoback, (2010). Finite element analysis can be used to simulate the tectonic movement to match borehole observations (Plumb et al., 1998).
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Sellar, Christopher, David Rafael Contreras Perez, Alicia McGeer, Maitha Mubarak Al Mansoori, and Aleš Vršic. "Identification of Trends Driving Reservoir Heterogeneity at Multiple Stratigraphic Intervals in a Giant Middle Eastern Carbonate Reservoir." In ADIPEC. SPE, 2022. http://dx.doi.org/10.2118/211597-ms.

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Abstract Oilfield A is a low relief structure consisting of multiple stacked reservoirs. Three reservoir intervals show different trends of reservoir property distribution. Lateral reservoir property degradation in Oilfield A is correlated to increased vertical heterogeneity. Understanding the driving mechanism for the controls on reservoir property distribution is therefore essential for effective well placement, well spacing and achieving the expected ultimate recovery from the oilfield. Previous integrated reservoir characterization studies in Oilfield A have identified a link between chemical compaction, reservoir thickness, cementation and reservoir property distribution in Reservoir 2. As part of reservoir model building and subsequent structural updates, thickness maps have been constructed from well data for each reservoir unit as an early indicator of possible reservoir property trends. The maps show trends which are integrated with other data, both static and dynamic in order to validate their impact. To establish correlations, thickness maps were compared to maps of log porosity, facies, diagenetic features, geophysical attributes, cumulative oil production and water cut. Reservoir thickness shows a good correlation to reservoir property distribution in several different reservoirs in Oilfield A. Reservoir 3 shows a south-east to north-west trend of reservoir degradation, Reservoir 2 shows a north to south trend of reservoir degradation, while Reservoir 1, shows a west to east trend of reservoir degradation. Chemical compaction has been shown to drive reservoir property degradation in all three reservoirs. An increased abundance of stylolites is noted in the thinnest, most cemented, poorest quality parts of the three reservoirs. Since chemical compaction (stylolitisation) is a process which starts in the burial diagenetic realm and since all three reservoirs show a similar paragenetic history it is logical to expect all three reservoirs have a similar burial history. However, the trends observed in the three stacked reservoir intervals are orthogonal to opposite. Reservoir properties are rarely randomly distributed in oil reservoirs. Integrating static and dynamic data together in Oilfield A has shown that compaction is the dominant driver of reservoir degradation in three stacked reservoirs. Understanding the trends controlling lateral and vertical reservoir heterogeneity due to compaction is essential in appraisal and development well planning as well as increasing expected ultimate recovery as part of increased and enhanced oil recovery projects.
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Guerillot, D. R., and Sophie Verdiere. "Different Pressure Grids for Reservoir Simulation in Heterogeneous Reservoirs." In SPE Reservoir Simulation Symposium. Society of Petroleum Engineers, 1995. http://dx.doi.org/10.2118/29148-ms.

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Dogru, Ali H., Larry Siu Kuen Fung, Usuf Middya, Tareq Al-Shaalan, and Jorge Alberto Pita. "A Next-Generation Parallel Reservoir Simulator for Giant Reservoirs." In SPE Reservoir Simulation Symposium. Society of Petroleum Engineers, 2009. http://dx.doi.org/10.2118/119272-ms.

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Reports on the topic "Reservoir"

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Hall, Joshi, and Ding. GRl-93-0024 Critical Performance Parameters for Horizontal Well Applications in Gas Storage Reservoirs. Chantilly, Virginia: Pipeline Research Council International, Inc. (PRCI), June 1993. http://dx.doi.org/10.55274/r0011314.

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This report identifies, classifies, and illustrates the importance of a number of reservoir, operational, and well design parameters that are likely to strongly influence horizontal well performance in gas storage reservoirs. The objective of this project was to provide guidelines for the gas storage industry to identify and evaluate potential candidate reservoirs for horizontal drilling, and thereby increase the likelihood of success of implementing horizontal wells in gas storage reservoirs. The technical approach entailed investigating critical performance parameters to determine horizontal well suitability for different reservoir types, sensitivity analysis of reservoir parameters, reviewing historical drilling costs for different horizontal drilling methods, and evaluating alternative completion options. The two most critical reservoir performance parameters are the reservoir thickness and vertical to horizontal permeability ratio.
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Kelkar, B. G. Reservoir characterization of Pennsylvanian sandstone reservoirs. Office of Scientific and Technical Information (OSTI), March 1995. http://dx.doi.org/10.2172/29382.

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Kelkar, B. G. Reservoir characterization of Pennsylvanian sandstone reservoirs. Office of Scientific and Technical Information (OSTI), January 1991. http://dx.doi.org/10.2172/6031180.

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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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Tavakoly, Ahmad, Joseph Gutenson, James Lewis, Michael Follum, Adnan Rajib, W. LaHatte, and Chase Hamilton. Daily RAPID streamflow and reservoir release flow in the Mississippi River Basin. Engineer Research and Development Center (U.S.), April 2021. http://dx.doi.org/10.21079/11681/40279.

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This dataset includes RAPID streamflow simulation correspond to the selected gages in the Mississippi River Basin. RAPID was run from 2005 to 2014 with and without reservoir releases. 175 USACE dams and reservoirs were considered in this study. The daily reservoir releases are included in this dataset.
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Vandevort, Daniel, Chandler Engel, Shaun Stanton, and Jeffrey Ellis. Application of limited-field-data methods in reservoir volume estimation : a case study. Engineer Research and Development Center (U.S.), March 2024. http://dx.doi.org/10.21079/11681/48268.

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The conventional approach to estimating lake or reservoir water volumes hinges on field data collection; however, volume estimation methods are available that use little or no field data. Two such methods—the simplified V-A-h (volume-area-height) and the power function—were applied to a set of six anthropogenic reservoirs on the Fort Jackson, South Carolina, installation and checked against a validation data set. Additionally, seven interpolation methods were compared for differences in total volume estimation based on sonar data collected at each reservoir. The simplified V-A-h method overestimated reservoir volume more than each technique in the power function method, and the categorical technique underestimated the most reservoir volumes of all three techniques. Each method demonstrates high Vₑᵣᵣ variability among reservoirs, and Vₑᵣᵣ for the Power Function techniques applied here is consistent with that found in previous research in that it is near or less than 30%. Compared with Vₑᵣᵣ in other studies evaluating the simplified V-A-h method, Vₑᵣᵣ in this study was found to be 10%–20% higher.
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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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Kelkar, M. Reservoir characterization of Pennsylvanian Sandstone Reservoirs. Annual report. Office of Scientific and Technical Information (OSTI), September 1992. http://dx.doi.org/10.2172/34258.

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Kelkar, M. Reservoir characterization of Pennsylvanian sandstone reservoirs. Final report. Office of Scientific and Technical Information (OSTI), February 1995. http://dx.doi.org/10.2172/10115871.

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