Relevant bibliographies by topics / Optimized flooding

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

Academic literature on the topic 'Optimized flooding'

Author: Grafiati
Published: 5 June 2025
Last updated: 24 June 2025

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Journal articles on the topic "Optimized flooding"

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Chen, Bailian, and Albert C. Reynolds. "Ensemble-Based Optimization of the Water-Alternating-Gas-Injection Process." SPE Journal 21, no. 03 (2016): 0786–98. http://dx.doi.org/10.2118/173217-pa.

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Summary CO2-water-alternating-gas (CO2-WAG) flooding generally leads to higher recovery than either continuous CO2 flooding or waterflooding. Although CO2 injection increases microscopic displacement efficiency, unless complete miscibility is achieved, suboptimal sweep efficiency may be obtained because of gravity segregation and the channeling of CO2 through high-permeability zones or by viscous fingering. Alternating water injection with CO2 injection results in better mobility control and increases sweep efficiency. Water injection also increases pressure that promotes miscibility. However, poorly designed WAG parameters can result in suboptimal WAG performance. In this work, given the number of WAG cycles and the duration of each WAG cycle, we apply a modification of a standard ensemble-based optimization technique to estimate the optimal well controls that maximize life-cycle net present value (NPV). By optimizing the well controls, we implicitly optimize the WAG ratio (volume of water injected divided by the volume of gas injected). We apply the optimization methodology to a synthetic, channelized reservoir. The performances of optimized WAG flooding, optimized waterflooding, and optimized continuous CO2 flooding are compared. Because of the similarity between WAG and surfactant alternating gas (SAG foam), we also optimize the SAG process and provide a more computationally efficient way to optimize the SAG process with the optimal well controls obtained from WAG as the initial guesses for the optimal controls for SAG.
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Lu, Cong, Li Ma, Jianchun Guo, et al. "Fracture Parameters Optimization and Field Application in Low-Permeability Sandstone Reservoirs under Fracturing Flooding Conditions." Processes 11, no. 1 (2023): 285. http://dx.doi.org/10.3390/pr11010285.

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To solve engineering problems in the production process after fracturing and flooding of low-permeability sandstone reservoirs, such as rapid water-cut rise and low water flooding efficiency, a method for optimizing the fracture parameters of low-permeability sandstone reservoirs under fracturing flooding conditions was proposed. A rock property test experiment was first carried out, the fracturing coefficient was defined, and an evaluation method for the brittleness index of low-permeability sandstone was established to optimize the perforation location of the fracturing reservoir. A productivity numerical model for the two-phase flow of oil–water in matrix–fracture media was established to optimize the fracture morphology under fracturing flooding conditions. The results showed that the quartz content, Young’s modulus, and peak stress mainly affected the fracturing coefficient of rock and are the key indicators for evaluating the brittleness of low-permeability sandstone reservoirs. For production wells in the direction of minimum horizontal principal stress, the swept area of water flooding should be expanded, fracture length should be optimized to 90 m, and fracture conductivity should be 20 D·cm. For fracturing production wells in the direction of maximum horizontal principal stress, the advancing speed of the water injection front should be slowed down to reduce the risk of water channeling in injection-production wells. The optimized fracture length was 80 m, and the fracture conductivity was 25 D·cm. The application of these findings can markedly improve oil production and provide a reference for optimizing the fracture parameters of low-permeability sandstone reservoirs under fracturing flooding conditions.
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Nguyen, Dang-Quan, and Pascale Minet. "Quality of Service Routing in a MANET with OLSR." JUCS - Journal of Universal Computer Science 13, no. (1) (2007): 56–86. https://doi.org/10.3217/jucs-013-01-0056.

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Ad hoc wireless networks have enormous commercial and military potential becauseof their self-organizing capacity and mobility support. However, some specificities of these networks such as radio interferences and limited resources make more complex the quality of service(QoS) support. Indeed, on the one hand, the bandwidth offered to users is strongly affected by radio interferences. On the other hand, flooding information in such a network must be optimizedin order to save resources. Therefore, we propose in this paper, a solution taking into account radio interferences in mobile ad hoc network routing and optimizing flooding. This solution isbased on a modified version of the OLSR routing protocol that considers bandwidth requests and radio interferences in the route selection process while providing a very efficient flooding.A comparative performance evaluation based on NS simulations shows that despite the overhead due to QoS management, this solution outperforms classical OLSR in terms of QoS perceivedby the users (e.g. bandwidth amount granted to a flow and delivery rate). The efficiency of the optimized flooding is equal to that provided by the native version of OLSR.
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Wu, Yuanbo, and Qihong Feng. "Integrated Geology-Engineering Approach for Fracturing-Flooding Parameter Optimization in Low-Permeability Reservoirs." Advances in Engineering Technology Research 12, no. 1 (2025): 1437. https://doi.org/10.56028/aetr.12.1.1437.2024.

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The development of low-permeability reservoirs faces challenges such as low water injection efficiency and poor pressure transmission. Fracturing-Flooding technology enhances reservoir seepage capacity and effectively replenishes formation energy through high-pressure, large-volume fluid injection. This study employs an integrated geological and engineering approach, combining geological modeling, fracture propagation simulation, and reservoir numerical simulation to optimize Fracturing-Flooding parameters. Results demonstrate the following optimized parameters for the Y well group: Fracturing-Flooding water injection volume of 3.5×10⁴ m³, injection rate of 1.3–1.6 m³/min, post-fracturing shut-in period of 30–40 days, production pressure difference of 8–12 MPa, and injection-production ratio of 0.9–1.1.
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Gomez, Javier, Martha Montes-de-Oca, and Jose Jaime Camacho-Escoto. "Flood and Contain: An Optimized Repeal-Based Flooding Algorithm for Wireless Ad Hoc and Sensor Networks." Sensors 20, no. 20 (2020): 5914. http://dx.doi.org/10.3390/s20205914.

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Flooding is a simple yet reliable way of discovering resources in wireless ad hoc networks such as mobile ad hoc networks (MANETs), ad hoc sensors, and recently, IoT networks. However, its operation is resource-intensive, especially in densely populated networks. Several approaches can be found in the literature to reduce the impact of flooding. Many of these approaches follow a repeal-based operation, chasing and stopping further propagation of flooding packets once the target is found. However, repeal-based protocols might end up transmitting even more packets than the original flooding. This work characterizes a maximum repeal-flooding boundary beyond which it is counterproductive to chase the original flooding. We present the Flood and Contain (F&C) algorithm, a method that can quickly establish the maximum repeal-flooding boundary for each node while making no assumptions on the underlying network. F&C’s packet overhead increases linearly with the hop count up to the maximum repeal-flooding boundary, in which case there is no attempt to chase the original flooding. In this latter case, F&C generates only as many packets as the original flooding. Simulations show that, on average, F&C reduces the total flooding overhead (compared to traditional flooding) up to 35 percent once considering all possible destinations, with only a slight increase in resource discovery latency, and it outperforms all other repeal-based protocols, particularly for longer routes.
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Lu, Jun, and Gary A. Pope. "Optimization of Gravity-Stable Surfactant Flooding." SPE Journal 22, no. 02 (2016): 480–93. http://dx.doi.org/10.2118/174033-pa.

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Summary Horizontal surfactant floods are inherently unstable without mobility control. However, a vertical surfactant flood can be stabilized by gravity if the velocity is below the critical velocity. A modified stability theory was validated by comparison with a series of surfactant-displacement experiments. These experiments also demonstrate that the critical velocity can be increased by optimizing the viscosity of the microemulsion that forms when the surfactant solution mixes with the oil in the porous medium. The microemulsion viscosity is sensitive to formulation variables such as the amount and type of co-solvent added to the surfactant solution. By changing surfactant components, co-solvents, and the concentration of the co-solvents, we were able to successfully control the microemulsion viscosity at optimum salinity to optimize the critical velocities in each surfactant flood. The experiments with optimized microemulsions show that the surfactant-flood velocity can be significantly increased and still recover nearly 100% of the oil.
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Sun, Chen, Jian Hou, Guangming Pan, and Zhizeng Xia. "Optimized polymer enhanced foam flooding for ordinary heavy oil reservoir after cross-linked polymer flooding." Journal of Petroleum Exploration and Production Technology 6, no. 4 (2016): 777–85. http://dx.doi.org/10.1007/s13202-015-0226-2.

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Flores-Marquez, Ricardo, Rita de Cássia Bahia, Yuri Arévalo-Aranda, et al. "Intermittent Rainfed Rice var. INIA 516 LM1: A Sustainable Alternative for the Huallaga River Basin." Water 17, no. 9 (2025): 1262. https://doi.org/10.3390/w17091262.

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Climate change is projected to increase global temperatures and alter rainfall patterns. In Peru, these changes could adversely affect the central basin of the Huallaga River by increasing pest and disease incidence, evapotranspiration, and water consumption. This basin is one of the country’s main rice-producing regions, where the crop is traditionally cultivated using inefficient practices, such as continuous flood irrigation. This study evaluated the effects of different irrigation management strategies on the growth and yield of rice (Oryza sativa var. INIA 516 LM1-La Unión 23), the water footprint as an indicator of water use efficiency, and the incidence of pests and diseases associated with irrigation regimes. Three irrigation treatments were implemented: Traditional flooding T1 (maintenance of a 0.15 m water layer with replenishment every 4 days), Optimized flooding T2 (replenishment every 7 days), and Intermittent rainfed irrigation T3 (replenishment every 14 days). Although no significant differences were observed in biometric parameters, yield, or pest and disease incidence, a trend of decreasing yield with longer irrigation intervals was noted: traditional flooding (7.91 t∙ha−1) > reduced flooding (7.82 t∙ha−1) > intermittent rainfed (7.14 t∙ha−1). The incidence of white leaf virus and Burkholderia glumae was highest in the intermittent rainfed treatment, followed by optimized flooding, with the lowest incidence in traditional flooding. Yield reduction and the use of rainwater to cover water requirements resulted in a lower total water footprint for traditional flooding (834.0 m3∙t−1), followed by optimized flooding (843.6 m3∙t−1) and intermittent rainfed (923.9 m3∙t−1). This reflects an improvement in rainwater use efficiency. The findings suggest intermittent rainfed irrigation enhances water use efficiency without significantly compromising rice yield or increasing disease incidence in rice var. INIA 516 LM1-La Unión 23 in the central basin of the Huallaga River.
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LIPMAN, JUSTIN, PAUL BOUSTEAD, and JOHN JUDGE. "NEIGHBOR AWARE ADAPTIVE POWER FLOODING (NAAP) IN MOBILE AD HOC NETWORKS." International Journal of Foundations of Computer Science 14, no. 02 (2003): 237–52. http://dx.doi.org/10.1142/s0129054103001704.

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This paper introduces Neighbor Aware Adaptive Power flooding, an optimized flooding mechanism used in mobile ad hoc networks (MANETS) that employs several mechanisms (neighbor coverage, power control, neighbor awareness and local optimization) to limit the broadcast storm problem, reduce duplicate packet reception and lower power consumption in both transmission and reception. Upon receiving an optimized broadcast, a relay determines a new set of possible relays (to continue the flood) based upon local neighbor information and the previous optimized broadcast. Additionally, neighboring relays only consider the shared neighbors they are closest to. A relay may perform local optimization (to reduce power consumption and isolate broadcasts) by substituting one high power broadcast with two or more low power broadcasts, thereby introducing additional hops, We show that compared to blind flooding and multipoint relaying, NAAP in a static environment greatly reduces the problems associated with the broadcast storm problem, duplicate packet reception and power consumption.
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Guo, Junhui, Erlong Yang, Yu Zhao, et al. "A New Method for Optimizing Water-Flooding Strategies in Multi-Layer Sandstone Reservoirs." Energies 17, no. 8 (2024): 1828. http://dx.doi.org/10.3390/en17081828.

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As one of the most important and economically enhanced oil-recovery technologies, water flooding has been applied in various oilfields worldwide for nearly a century. Stratified water injection is the key to improving water-flooding performance. In water flooding, the water-injection rate is normally optimized based on the reservoir permeability and thickness. However, this strategy is not applicable after oilfields enter the ultra-high-water-cut period. In this study, an original method for optimizing water-flooding parameters for developing multi-layer sandstone reservoirs in the entire flooding process and in a given period is proposed based on reservoir engineering theory and optimization technology. Meanwhile, optimization mathematical models that yield maximum oil recovery or net present value (NPV) are developed. The new method is verified by water-flooding experiments using Berea cores. The results show that using the method developed in this study can increase the total oil recovery by approximately 3 percent compared with the traditional method using the same water-injection amounts. The experimental results are consistent with the results from theoretical analysis. Moreover, this study shows that the geological reserves of each layer and the relative permeability curves have the greatest influence on the optimized water-injection rate, rather than the reservoir properties, which are the primary consideration in a traditional optimization method. The method developed in this study could not only be implemented in a newly developed oilfield but also could be used in a mature oilfield that has been developed for years. However, this study also shows that using the optimized water injection at an earlier stage will provide better EOR performance.
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Dissertations / Theses on the topic "Optimized flooding"

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Kadi, Nour. "Optimized broadcasting in wireless ad-hoc networks using network coding." Paris 11, 2010. http://www.theses.fr/2010PA112380.

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Le "Codage Réseau" (Network Coding) est une nouvelle technique qui permet aux routeurs de combiner les flux qu'ils reçoivent et à rediriger ces combinaisons vers les différentes routes. Il a été montré que le codage réseau, combinée avec la diffusion sans fil, peut potentiellement améliorer les performances en termes de débit, l'efficacité énergétique et l'utilisation de bande passante. Notre étude commence par l'intégration de codage réseaux avec la technique de relais multipoint (MPR). MPR est un mécanisme de diffusion efficace qui a été utilisé dans de nombreux protocoles sans fil. Nous montrons que la combinaison de deux techniques ensemble peut réduire le nombre de paquets transmis et augmenter le débit. Nous avons réduit la complexité en proposant un système de codage opportuniste qui effectue des opérations de codage sur le corps binaire. Au lieu de combiner les paquets reçus de manière linéaire, nous employons de sommation arithmétique modulo 2. A chaque transmission, un nœud choisit les paquets pour coder en utilisant les informations sur l'état de voisins tente de livrer un nombre maximum de paquets. Pour réduire Le surcoût (overhead), c'est-à-dire la quantité d'information de contrôle échangée, nous proposons un nouveau schéma de codage. Il utilise LT-code (un type de code fontaine) pour éliminer le besoin d'un feedback parfait entre les voisins. Ce système effectue le codage et le décodage avec une complexité logarithmique. Nous optimisons LT-code pour accélérer le processus de décodage. L'optimisation est réalisée en proposant une nouvelle distribution qui sera utilisés durant le processus d'encodage. Cette distribution permet aux nœuds intermédiaires de décoder même si peu de paquets codés sont reçus<br>Network coding is a novel technique which attracts the research interest since its emergence in 2000. It was shown that network coding, combined with wireless broadcasting, can potentially improve the performance in term of throughput, energy efficiency and bandwidth utilization. Our study begins with integrating network coding with multipoint relay (MPR) technique. MPR is an efficient broadcast mechanism which has been used in many wireless protocols. We show how combining the two techniques together can reduce the number of transmitted packets and increase the throughput. We further reduce the complexity by proposing an opportunistic coding scheme which performs coding operations on the binary field. Instead of linearly combining packets, we employ arithmetic summing packets in modulo 2, which simply corresponds to XOR the corresponding bits in each packet. These operations are computationally cheap. Using neighbors state information, a node in our scheme chooses packets to encode and transmit at each transmission trying to deliver a maximum number of packets. Therefore, an exchange of the reception information between the neighbors is required. To reduce the overhead of the required feedback, we propose a new coding scheme. It uses LT-code (a type of fountain code) to eliminate the need of a perfect feedback among neighbors. This scheme performs encoding and decoding with a logarithmic complexity. We optimize LT-code to speed up the decoding process. The optimization is achieved by proposing a new degree distribution to be used during the encoding process. This distribution allows intermediate nodes to decode more symbols even when few encoded packets are received
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Weber, Daniel Brent. "The use of capacitance-resistance models to optimize injection allocation and well location in water floods." 2009. http://hdl.handle.net/2152/6648.

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Reservoir management strategies traditionally attempt to combine and balance complex geophysical, petrophysical, thermodynamic and economic factors to determine an optimal method to recover hydrocarbons from a given reservoir. Reservoir simulators have traditionally been too large and run times too long to allow for rigorous solution in conjunction with an optimization algorithm. It has also proven very difficult to marry an optimizer with the large set of nonlinear partial differential equations required for accurate reservoir simulation. A simple capacitance-resistance model (CRM) that characterizes the connectivity between injection and production wells can determine an injection scheme maximizes the value of the reservoir asset. Model parameters are identified using linear and nonlinear regression. The model is then used together with a nonlinear optimization algorithm to compute a set of future injection rates which maximize discounted net profit. This research demonstrates that this simple dynamic model provides an excellent match to historic data. Based on three case studies examining actual reservoirs, the optimal injection schemes based on the capacitance-resistive model yield a predicted increase in hydrocarbon recovery of up to 60% over the extrapolated exponential historic decline. An advantage of using a simple model is its ability to describe large reservoirs in a straightforward way with computation times that are short to moderate. However, applying the CRM to large reservoirs with many wells presents several new challenges. Reservoirs with hundreds of wells have longer production histories – new wells are created, wells are shut in for varying periods of time and production wells are converted to injection wells. Additionally, ensuring that the production data to which the CRM is fit are free from contamination or corruption is important. Several modeling techniques and heuristics are presented that provide a simple, accurate reservoir model that can be used to optimize the value of the reservoir over future time periods. In addition to optimizing reservoir performance by allocating injection, this research presents a few methods that use the CRM to find optimal well locations for new injectors. These algorithms are still in their infancy and represent the best ideas for future research.<br>text
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Book chapters on the topic "Optimized flooding"

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Nguyen, Dang Quan, and Pascale Minet. "Optimized Flooding and Interference-Aware QoS Routing in OLSR." In Challenges in Ad Hoc Networking. Springer US, 2006. http://dx.doi.org/10.1007/0-387-31173-4_7.

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Simonini, P., and F. Ceccato. "Geotechnical studies to optimize the protection measures against flooding of St. Mark square (Venice, IT)." In Geotechnical Engineering for the Preservation of Monuments and Historic Sites III. CRC Press, 2022. http://dx.doi.org/10.1201/9781003329756-15.

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Simonini, P., and F. Ceccato. "Geotechnical studies to optimize the protection measures against flooding of St. Mark square (Venice, IT)." In Geotechnical Engineering for the Preservation of Monuments and Historic Sites III. CRC Press, 2022. http://dx.doi.org/10.1201/9781003308867-15.

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Fu, Mingjiang, Bingli Guo, Hai Yang, Chengguang Pang, and Shanguo Huang. "Routing Optimization Based on OSPF in Multi-Layer Satellite Network." In Proceedings of CECNet 2021. IOS Press, 2021. http://dx.doi.org/10.3233/faia210452.

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Multi-layer satellite network has become a hot spot for its wider coverage and higher bandwidth level. However, due to the frequent link changes and complexity of network, it is hard to find out a mechanism to handle well on long delay and high packet loss level. This paper proposes an optimized OSPF protocol called OOWLP to eliminate unnecessary routing convergence to optimize the packet loss level and delay ultimately. Link plan table, which records link contacting plan, will be used to update the link state database periodically so that we can eliminate the flooding procedure caused by scheduled link changes. On the other hand, Constrained Shortest Path First (CSPF) will be used to get business differentiated routes in multi-layer satellite network to optimized the throughput capacity in congestion scenario. We divide the sending packets into different businesses and get the routes for each business with longer duration limited by remaining bandwidth. Simulation results show that in normal scenario, average packet loss rate and delay performance are improved 17.42%, 51.44ms respectively, average packet loss rate and throughput capacity performance are optimized 79.05%, 9.81Mbps respectively in congestion scenario compared to standard OSPF. As a result, the proposed mechanism is able to shorten the average delay and lower the packet loss level in multi-layer satellite network.
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Hadeed, Muhammad Zakwan, Muhammad Safdar, Aitizaz Ali, et al. "Role of Remote Sensing and GIS for Sustainable Crop Production Under Climate Change." In Advancements in Climate and Smart Environment Technology. IGI Global, 2024. http://dx.doi.org/10.4018/979-8-3693-3807-0.ch012.

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Geospatial techniques are being increasingly used in agriculture to optimize production, manage resources, and mitigate climate change impacts. These techniques include GPS, GIS, and remote sensing, which map and monitor crop growth and yield variability, allowing for more efficient application of inputs like fertilizers, water, and pesticides. They also create models that simulate crop growth under different climate scenarios, allowing farmers to plan for future conditions and adapt their practices accordingly. Geospatial data is used to create detailed maps of soil properties, helping farmers make better decisions about crop selection, planting, and nutrient management. These techniques also help monitor and manage water resources, particularly in areas prone to drought or flooding, by mapping groundwater reserves, analyzing precipitation patterns, and predicting crop water demand. Geospatial data can evaluate climate hazards, guide crop selection and management, and analyze land use patterns, aiding farmers and policymakers in decision-making.
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Jemili, Imen, Dhouha Ghrab, Abdelfettah Belghith, and Mohamed Mosbah. "Leveraging Context-Awareness in Duty-Cycled Broadcast Wireless Sensor Networks." In Semantic Web Science and Real-World Applications. IGI Global, 2019. http://dx.doi.org/10.4018/978-1-5225-7186-5.ch007.

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Operating under duty-cycle mode allows wireless sensor networks to prolong their lifetime. However, this working pattern, with the temporary unavailability of nodes, brings challenges to the network design, mainly for a fundamental service like flooding. The challenging task is to authorize sensors to adopt a duty-cycle mode without inflicting any negative impact on the network performances. Context-awareness offers to sensors the ability to adapt their functional behavior according to many contexts in order to cope with network dynamics. In this context, the authors propose an Enhanced-Efficient Context-Aware Multi-hop Broadcast (E-ECAB) protocol, which relies on multi contextual information to optimize resources usage and satisfy the application requirements in a duty-cycled environment. The authors proved that only one transmission is required to achieve the broadcast operation in almost all situations. Simulation results show that E-ECAB achieves a significant improvement compared to previous work in terms of throughput and end-to-end delay without sacrificing energy efficiency.
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Conference papers on the topic "Optimized flooding"

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Luo, P., Y. Wu, and S. Huang. "Optimized Surfactant-Polymer Flooding for Western Canadian Heavy Oils." In SPE Heavy Oil Conference-Canada. Society of Petroleum Engineers, 2013. http://dx.doi.org/10.2118/165396-ms.

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Siyabi, Y. Al, N. Mosavat, M. Q. Al Azzawi, et al. "Novel Micro-Scale Insights for Systematic Testing of Polymer Flooding." In SPE Conference at Oman Petroleum & Energy Show. SPE, 2025. https://doi.org/10.2118/224946-ms.

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Abstract In the petroleum industry, the rising interest in microfluidics stems from its capacity to provide efficient, reliable, and precise data on pore-scale mechanisms. Particularly, to optimize chemical EOR processes, it is crucial to investigate the impact of various important parameters such as temperature, salinity, and retention on the oil recovery. In this study polymer flooding performance is visualized and quantified visualized and quantified at micron resolution using advanced imaging and image analysis techniques. The optimization of polymer injection for an Omani oil field was achieved by examining the effects of temperature, salinity, and polymer viscosity on oil recovery. Experimental conditions mimicked reservoir settings, with the chip first saturated with brine followed by oil injection, and then subjected to brine and polymer floodings. Temperature was varied from 20 to 70℃, showing that cumulative oil recovery increased for both brine and polymer floodings with rising temperature. Salinity effects were studied within a range of 4 to 10 g/L, revealing that higher salinity increased cumulative oil recovery during brine flooding due to reduced Interfacial Tension (IFT) and a lower mobility ratio, while post-polymer injection recovery decreased with increasing salinity, attributed to polymer degradation caused by positive ion effects from added salt. Polymer retention analysis for 10,000 ppm HPAM revealed that polymer blockage occurs in pore throats smaller than a certain size (in this test 52 μm) and that polymer adsorption forms a thin (20–28 μm) layer on rock surfaces, which can reduce the permeability. Finally, it is concluded that achieving an optimal polymer micelle size is crucial for matching the reservoir's pore size and ensuring effective polymer transport and oil recovery by minimizing polymer retention particularly due to mechanical entrapment. Additionally, microfluidics not only provides a visual insight into in-situ processes at the microscale but also enables well-controlled experiments leading to an optimized polymer flooding design and operation.
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Phan, Trung V., Truong Van Toan, Dang Van Tuyen, Truong Thu Huong, and Nguyen Huu Thanh. "OpenFlowSIA: An optimized protection scheme for software-defined networks from flooding attacks." In 2016 IEEE Sixth International Conference on Communications and Electronics (ICCE). IEEE, 2016. http://dx.doi.org/10.1109/cce.2016.7562606.

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Dang, Changying, Jianmin Gao, Zhao Wang, and Fumin Chen. "Self-adaptive characteristics segmentation optimized algorithm of weld defects based on flooding." In SPIE Defense, Security, and Sensing, edited by Ivan Kadar. SPIE, 2013. http://dx.doi.org/10.1117/12.2015368.

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Kadi, Nour, and Khaldoun Al agha. "Optimized MPR-based flooding in wireless ad hoc network using network coding." In 2008 1st IFIP Wireless Days (WD). IEEE, 2008. http://dx.doi.org/10.1109/wd.2008.4812903.

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Wang, Yefei, Fulin Zhao, and Baojun Bai. "Optimized Surfactant IFT and Polymer Viscosity for Surfactant-Polymer Flooding in Heterogeneous Formations." In SPE Improved Oil Recovery Symposium. Society of Petroleum Engineers, 2010. http://dx.doi.org/10.2118/127391-ms.

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Li, Junjian, Hanqiao Jiang, Bin Liang, et al. "Injection Allocation in Multi-Layer Water Flooding Reservoirs Using SVM Optimized by Genetic Algorithm." In International Petroleum Technology Conference. International Petroleum Technology Conference, 2016. http://dx.doi.org/10.2523/19006-ms.

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Li, Junjian, Hanqiao Jiang, Bin Liang, et al. "Injection Allocation in Multi-Layer Water Flooding Reservoirs Using SVM Optimized by Genetic Algorithm." In International Petroleum Technology Conference. International Petroleum Technology Conference, 2016. http://dx.doi.org/10.2523/iptc-19006-ms.

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Wu, Xingcai, Yan Zhu, Xiaoying Liu, et al. "A Successful Field Trial of a New ASP Technology in a High Water Cut and High Recovery Degree Reservoir After Polymer Flooding in North China." In International Petroleum Technology Conference. IPTC, 2023. http://dx.doi.org/10.2523/iptc-22758-ea.

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Abstract Large scale polymer flooding in Daqing Oilfield achieved great success. The average recovery degree of these oilfields after polymer flooding has reached 52.5%, and the average water cut has reached 96.0%. It is urgent to find an effective technical method for further EOR. Targeting the highly dispersed remaining oil in the post polymer flooding reservoirs, the continuous phase polymer solution in ASP technology was replaced by nano-micron particle polymer dispersion to realize optimization for EOR mechanism, so the ASP technology was upgraded. The field test, has been completed the slug injection, and achieved obvious EOR effect. The ASP slug design with HPAM solution as the main displacement phase was abandoned. A type of water dispersion of nano-micron particle polymer as the main displacement phase was designed to replace the "P" in traditional ASP slug, so that the flowing control mechanism of "P" was optimized. Through synchronous diversion and displacement, it can initiate and sweep the remaining oil dispersed in relatively small pores. A large three-dimensional physical model with the size of 60 × 45 × 4.5cm was made to simulate the real development history of water injection and polymer flooding of the reservoir, based on which, the performance of the upgraded ASP was modeled. Furthermore, the program was designed and optimized by numerical simulation. The physical simulation fitting experiment of the development history of water flooding and polymer flooding shows that the coincidence rate is 93%+. After polymer flooding, the upgraded ASP further improved the recovery by 15.2 percent. The optimized scheme of numerical simulation is to inject 0.5PV of new ASP slug. Under the precondition of the historical recovery degree of 55.8% and water cut of 98.44%, the new ASP is expected to improve the recovery by 7.9% within 10 years. At present, the field test of ASP slug injection has just been completed, and remarkable results have been achieved, The daily oil production has increased by 60%, and the water oil ratio has decreased from 61.9 to 38.4. The daily oil production of some producers has increased by 2 to 3 times, and the recovery has increased by 5.2%. The field trial proves that the oil displacement mechanism of nano-micron-particle-polymer ASP flooding chemical system is more advanced and the displacement efficiency is higher than that of the traditional ASP flooding, and the oil recovery can be further enhanced for similar reservoirs under extreme conditions after polymer flooding. The traditional ASP technology is expected to have great upgrading and developing.
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10

Puntervold, Tina, Md Ashraful Islam Khan, Iván Darío Piñerez Torrijos, and Skule Strand. "Is Smart Water Flooding Smarter Than Seawater Flooding in a Fractured Chalk Reservoir?" In SPE Annual Technical Conference and Exhibition. SPE, 2022. http://dx.doi.org/10.2118/210042-ms.

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Abstract It is well-known that seawater flooding has been a huge success for hydrocarbon recovery from the fractured chalk reservoir, Ekofisk, on the Norwegian Continental Shelf. Extensive laboratory studies the last decades have shown that Smart Water flooding has potential of greatly improving oil recovery beyond that obtained by standard waterflooding, due to wettability alteration, which improves reservoir sweep efficiency. However, to be economically viable compared to seawater injection, the Smart Water must be cheap, easily available, and must substantially improve oil production. Thus, the objective of this work was to investigate if a tailor-made, but cheap Smart Water could enhance oil production compared to seawater injection in an offshore chalk reservoir. Is seawater the smarter choice in offshore chalk reservoirs? Two reservoir chalk cores were used in this study and initial reservoir core wettability was estimated from optimized, in-house laboratory core restoration procedures. The potential for wettability alteration and resulting oil recovery by seawater (∼33000 ppm salinity) and Smart Water (&amp;lt;5000 ppm salinity, containing 20 mM SO42-, Ca2+ and Mg2+) were compared in spontaneous imbibition tests at reservoir temperature (&amp;gt;100 °C). Waterflooding at various rates was also performed to evaluate the displacement performance, with regards to water breakthrough and ultimate recovery, of the two injection brines studied. Reproducible initial wettability was confirmed in both reservoir cores, making a comparison of brine performance easier in spontaneous imbibition tests. The restored cores behaved initially mixed to oil-wet, imbibing limited amount of water. Both seawater and Smart Water showed potential for wettability alteration, although oil recovery by spontaneous imbibition by Smart Water was not improved compared to that by seawater. By low-rate waterflooding the Smart Water was more efficient than seawater due to the water being forced into the interior of the cores causing faster and more pronounced wettability alteration at microscopic scale, hence generating stronger positive capillary forces than in the spontaneous imbibition process. It was concluded that Smart Water flooding can potentially improve recovery beyond that obtained by seawater flooding in fractured chalk reservoirs. This high-temperature offshore chalk reservoir case study demonstrates that seawater is able to alter wettability of mixed to oil-wet reservoir chalk in a similar way as previously reported for outcrop chalk. Additionally, although seawater injection seems to be a good choice offshore, there is still potential of tailoring a Smart Water composition to both accelerate oil production, delay water breaktrough, increase ultimate oil recovery, thus lowering the field residual oil saturation if its injection is timely implemented.
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Reports on the topic "Optimized flooding"

1

Mojdeh Delshad, Gary A. Pope, and Kamy Sepehrnoori. A Framework to Design and Optimize Chemical Flooding Processes. Office of Scientific and Technical Information (OSTI), 2006. http://dx.doi.org/10.2172/896545.

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Mojdeh Delshad and Gary A. Pope Kamy Sepehrnoori. A Framework to Design and Optimize Chemical Flooding Processes. Office of Scientific and Technical Information (OSTI), 2006. http://dx.doi.org/10.2172/920369.

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3

Mojdeh Delshad, Gary A. Pope, and Kamy Sepehrnoori. A FRAMEWORK TO DESIGN AND OPTIMIZE CHEMICAL FLOODING PROCESSES. Office of Scientific and Technical Information (OSTI), 2004. http://dx.doi.org/10.2172/835937.

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4

Mojdeh Delshad, Gary A. Pope, and Kamy Sepehrnoori. A FRAMEWORK TO DESIGN AND OPTIMIZE CHEMICAL FLOODING PROCESSES. Office of Scientific and Technical Information (OSTI), 2005. http://dx.doi.org/10.2172/843073.

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