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Academic literature on the topic 'Flowout'

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Published: 4 June 2021
Last updated: 7 February 2022

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Journal articles on the topic "Flowout"

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Riemann, Jan, Martin Schmitz, Alexander Hendrich, and Max Mühlhäuser. "FlowPut." Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 2, no. 1 (March 26, 2018): 1–23. http://dx.doi.org/10.1145/3191763.

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Ezeofor, Victory ‘Segun, Nathan Bray, Lucy Bryning, Farina Hashmi, Henrik Hoel, Daniel Parker, and Rhiannon Tudor Edwards. "Economic model to examine the cost-effectiveness of FlowOx home therapy compared to standard care in patients with peripheral artery disease." PLOS ONE 16, no. 1 (January 14, 2021): e0244851. http://dx.doi.org/10.1371/journal.pone.0244851.

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Background Critical limb ischaemia is a severe stage of lower limb peripheral artery disease which can lead to tissue loss, gangrene, amputation and death. FlowOx™ therapy is a novel negative-pressure chamber system intended for home use to increase blood flow, reduce pain and improve wound healing for patients with peripheral artery disease and critical limb ischaemia. Methods A Markov model was constructed to assess the relative cost-effectiveness of FlowOx™ therapy compared to standard care in lower limb peripheral artery disease patients with intermittent claudication or critical limb ischaemia. The model used data from two European trials of FlowOx™ therapy and published evidence on disease progression. From an NHS analysis perspective, various FlowOx™ therapy scenarios were modelled by adjusting the dose of FlowOx™ therapy and the amount of other care received alongside FlowOx™ therapy, in comparison to standard care. Results In the base case analysis, consisting of FlowOx™ therapy plus nominal care, the cost estimates were £12,704 for a single dose of FlowOx™ therapy per annum as compared with £15,523 for standard care. FlowOx™ therapy patients gained 0.27 additional quality adjusted life years compared to standard care patients. This equated to a dominant incremental cost-effectiveness ratio per QALY gained. At the NICE threshold WTP of £20,000 and £30,000 per QALY gained, FlowOx™ therapy in addition to standard care had a 0.80 and 1.00 probability of being cost-effectiveness respectively. Conclusions FlowOx™ therapy delivered as a single annual dose may be a cost-effective treatment for peripheral artery disease. FlowOx™ therapy improved health outcomes and reduced treatment costs in this modelled cohort. The effectiveness and cost-effectiveness of FlowOx™ therapy is susceptible to disease severity, adherence, dose and treatment cost. Research assessing the impact of FlowOx™ therapy on NHS resource use is needed in order to provide a definitive economic evaluation.
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Guo, Zhiqiang, Xiaodong Dong, Sheng Chen, Xiaobo Zhou, and Keqiu Li. "EasyLB: Adaptive Load Balancing Based on Flowlet Switching for Wireless Sensor Networks." Sensors 18, no. 9 (September 12, 2018): 3060. http://dx.doi.org/10.3390/s18093060.

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Load balancing is effective in reducing network congestion and improving network throughput in wireless sensor networks (WSNs). Due to the fluctuation of wireless channels, traditional schemes achieving load balancing in WSNs need to maintain global or local congestion information, which turn out to be complicated to implement. In this paper, we design a flowlet switching based load balancing scheme, called EasyLB, by extending OpenFlow protocol. Flowlet switching is efficient to achieve adaptive load balancing in WSNs. Nevertheless, one tricky problem lies in determining the flowlet timeout value, δ . Setting it too small would risk reordering issue, while setting it too large would reduce flowlet opportunities. By formulating the timeout setting problem with a stationary distribution of Markov chain, we give a theoretical reference for setting an appropriate timeout value in flowlet switching based load balancing scheme. Moreover, non-equal probability path selection and multiple parallel load balancing paths are considered in timeout setting problem. Experimental results show that, by setting timeout value following the preceding theoretical reference, EasyLB is adaptive to wireless channel condition change and achieves fast convergence of load balancing after link failures.
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Qiao, H. J., X. Wan, J. Z. Xu, S. Y. Li, and P. P. He. "DEEP LEARNING BASED OPTICAL FLOW ESTIMATION FOR CHANGE DETECTION: A CASE STUDY IN INDONESIA EARTHQUAKE." ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences V-3-2020 (August 3, 2020): 317–22. http://dx.doi.org/10.5194/isprs-annals-v-3-2020-317-2020.

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Abstract. Real-time change detection and analysis of natural disasters is of great importance to emergency response and disaster rescue. Recently, a number of video satellites that can record the whole process of natural disasters have been launched. These satellites capture high resolution video image sequences and provide researchers with a large number of image frames, which allows for the implementation of a rapid disaster procedure change detection approach based on deep learning. In this paper, pixel change in image sequences is estimated by optical flow based on FlowNet 2.0 for quick change detection in natural disasters. Experiments are carried out by using image frames from Digital Globe WorldView in Indonesia Earthquake took place on Sept. 28, 2018. In order to test the efficiency of FlowNet 2.0 on natural disaster dataset, 7 state-of-the-art optical flow estimation methods are compared. The experimental results show that FlowNet 2.0 is not only robust to large displacements but small displacements in natural disaster dataset. Two evaluation indicators: Root Mean Square Error (RMSE) and Mean Value are used to record the accuracy. For estimation error of RMSE, FlowNet 2.0 achieves 0.30 and 0.11 pixels in horizontal and vertical direction, respectively. The error in horizontal error is similar to other algorithms but the value in vertical direction is significantly lower than them. And the Mean Value are 1.50 and 0.09 pixels in horizontal and vertical direction, which are most close to the ground truth comparing to other algorithms. Combining the superiority of computing time, the paper proves that only the approach based on FlowNet 2.0 is able to achieve real-time change detection with higher accuracy in the case of natural disasters.
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Gooding, Mark. "Flowol (Data Harvest)." Electronics Education 2002, no. 2 (2002): 33. http://dx.doi.org/10.1049/ee.2002.0028.

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Assche, Dimitri Van, and Yves De Smet. "FlowSort parameters elicitation based on categorisation examples." International Journal of Multicriteria Decision Making 6, no. 3 (2016): 191. http://dx.doi.org/10.1504/ijmcdm.2016.079712.

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De Smet, Yves, and Dimitri Van Assche. "FlowSort parameters elicitation based on categorisation examples." International Journal of Multicriteria Decision Making 6, no. 3 (2016): 191. http://dx.doi.org/10.1504/ijmcdm.2016.10000527.

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Sera, M., and T. Kanda. "Measurement of River Flows with Ultrasonic Flowmet." PROCEEDINGS OF THE JAPANESE CONFERENCE ON HYDRAULICS 32 (1988): 353–58. http://dx.doi.org/10.2208/prohe1975.32.353.

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Botta, Cirino, Catarina Maia, Cristina Pérez Ruiz, Irene Manrique, Juan José Garcés, Sara Rodríguez, Leire Burgos, et al. "Flowct: A Semi-Automated Workflow for Deconvolution of Immunophenotypic Data and Objective Reporting on Large Datasets." Blood 134, Supplement_1 (November 13, 2019): 4355. http://dx.doi.org/10.1182/blood-2019-122088.

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Background: The advent of immunotherapy renewed the interest in immune monitoring to identify determinants of treatment response. Flow cytometry is widely adopted in immunotherapy-based clinical trials, but manual analysis of multiparameter files poses a challenge to capture full cellular diversity and to provide unbiased reporting in large datasets. Methods: Here, we developed a semi-automated pipeline named "FlowCT" which, starting from compensated data obtained with standardized protocols, allows simultaneous analyses of multiple files and automated cell clustering. FlowCT starts with quality control and data normalization followed by an analytical stage with clustering algorithms, dimensional reduction techniques and cluster identification based on antigen expression. Statistical tools are included for immediate analysis of results. Results: As proof-of-concept, we used FlowCT in three different datasets. First, we applied FlowCT to bone marrow (BM) samples from three multiple myeloma (MM) patients stained with 17-color flow cytometry, to determine the increment in the complexity of analyzing 8 and 17 markers, chosen to characterize T cells. Of note, a single combination of CD3, CD4, CD8, CD45RA, CD56, CCR7, PD1 and TIGIT, allowed the identification of 31 lymphocyte subsets using FlowCT, which increased to 39 different clusters with 17 markers and unveiled a novel population of CD3- CD56- CD8+ CD16+ lymphoid cells in the MM immune microenvironment. Secondly, we applied FlowCT to matched peripheral blood (PB) and BM samples from 10 patients with smoldering MM, to objectively assess if PB represents a good surrogate of T-cell distribution in the BM. Using an 8-color combination to characterize CD4 T cells, up to 26 different subsets were identified, including several CD4 T helper (Th) type subsets. Of note, their distribution within PB CD4 T cells was similar to that found in BM, except for CD4 T CXCR3+CCR4+ effector memory and Th17 central memory subsets that decreased in the BM tumor immune microenvironment. Thirdly, we analyzed 30 BM samples from 10 MM patients studied every year during maintenance therapy, monitored with CD4, CD8, CD25, CD45RA, CD127, CCR7, PD1, and TCRγδ to characterize T cells. FlowCT identified 29 different T-cell populations, including 9 CD4 subsets, 14 CD8 subsets, 4 Tγδ cell subsets and 2 distinct Treg subsets. Longitudinal, semi-automated and unbiased analysis unveiled a significant fluctuation of CD4 naïve and transitional memory cells during maintenance, as well as a significant decrease of CD8 CD127- effector memory and transitional effectors cells after 2 years of maintenance. Conclusions: Here, we presented FlowCT, a pipeline optimized for the analysis of large flow cytometry datasets that could be easily implemented by research laboratories to unveil full cellular diversity, singular patterns of antigen expression, and to provide unbiased reporting in large studies, like clinical trials. Disclosures Puig: Amgen: Consultancy, Honoraria; Janssen: Consultancy, Honoraria, Research Funding; Celgene: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau; The Binding Site: Honoraria; Takeda: Consultancy, Honoraria. Borrello:WindMIL Therapeutics: Equity Ownership, Patents & Royalties, Research Funding; Aduro: Patents & Royalties: intellectual property on allogeneic MM GVAX; BMS: Consultancy; Celgene: Honoraria, Research Funding, Speakers Bureau. Rosinol Dachs:Janssen, Celgene, Amgen and Takeda: Honoraria. Mateos:Janssen, Celgene, Takeda, Amgen, GSK, Abbvie, EDO, Pharmar: Membership on an entity's Board of Directors or advisory committees; Janssen, Celgene, Takeda, Amgen, Adaptive: Honoraria; Amgen Inc, Janssen Biotech Inc: Other: Data and Monitoring Committee; Amgen Inc, Celgene Corporation, Janssen Biotech Inc, Takeda Oncology.: Speakers Bureau; AbbVie Inc, Amgen Inc, Celgene Corporation, Genentech, GlaxoSmithKline, Janssen Biotech Inc, Mundipharma EDO, PharmaMar, Roche Laboratories Inc, Takeda Oncology: Other: Advisory Committee. Lahuerta:Takeda, Amgen, Celgene and Janssen: Honoraria, Membership on an entity's Board of Directors or advisory committees. Bladé:Jansen, Celgene, Takeda, Amgen and Oncopeptides: Honoraria. San-Miguel:Amgen, Bristol-Myers Squibb, Celgene, Janssen, MSD, Novartis, Roche, Sanofi, and Takeda: Consultancy, Honoraria. Paiva:Celgene, Janssen, Sanofi and Takeda: Consultancy; Amgen, Bristol-Myers Squibb, Celgene, Janssen, Merck, Novartis, Roche and Sanofi: Honoraria, Membership on an entity's Board of Directors or advisory committees.
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Arrillaga, J., N. R. Watson, and G. N. Bathurst. "A Multifrequency Power Flowof General Applicability." IEEE Transactions on Power Delivery 19, no. 1 (January 2004): 342–49. http://dx.doi.org/10.1109/tpwrd.2003.820193.

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Dissertations / Theses on the topic "Flowout"

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Bean, Ian James Materials Science &amp Engineering Faculty of Science UNSW. "Blast furnace hearth drainage improvement of the residual - flowout correlation." Publisher:University of New South Wales. Materials Science & Engineering, 2008. http://handle.unsw.edu.au/1959.4/41490.

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Experimental cold modelling of hearth drainage was performed at Bluescope Steel Research Laboratories to understand the impact of variable drainage rate on slag removal. These drainage studies were designed to simulate real operational aspects such as: continuous casting, variable tapping rate and inflow liquid distribution. During the analysis of these drainage experiments it was demonstrated that the residual-flowout correlation in use since the 1970??s may possibly be incomplete or inaccurate. The removal of slag from the blast furnace hearth is the greater concern of the two liquids produced in the iron making process. In the 1970??s operational difficulties arose when large volumes of residual slag remained in the furnace after casting. This prompted research related to the flow of viscous liquids through uniformly packed beds providing fundamental insight on the most effective means of removal of slag from the blast furnace hearth. The core subject of this study, the residual-flowout correlation developed by Fukutake and Okabe that is used to predict cast duration and liquid accumulation in the blast furnace hearth is discussed in detail. The residual-flowout correlation is examined for four different sets of conditions based on constant or increasing slag drainage, with and without liquid dripping. The outcome of this study will improve our understanding of the residual-flowout relationship and develop it further, so that drainage conditions whether for constant or increasing drainage rates, with or without dripping, will hold using the one general Fl equation.
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Hautala, M. (Mikko). "Modeling of electrolytic solutions and implementation of the models in Flowbat." Master's thesis, University of Oulu, 2016. http://urn.fi/URN:NBN:fi:oulu-201605041611.

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The purpose of this thesis was to create a Flowbat program for the calculation of the activity coefficients of species in different electrolyte solutions. In these solutions, electrolytes have dissociated into ions, which greatly increases the non-ideality of the solution even in small concentrations. Modeling of electrolytic solutions becomes essential when bioprocesses are considered, as they typically have several electrolytes present in the considered system. The highly non-ideal behavior must be accounted for accurately when estimating activity coefficients, and consequently the properties of the system at phase and reaction equilibrium. The theory part of this thesis begins by introducing the main principles behind vapor-liquid equilibrium calculations, which are the so-called “phi-phi” and “gamma-phi” approaches, for both electrolyte and non-electrolyte solutions. Next, different alternatives to estimate the fugacity coefficients and activity coefficients in the electrolyte solutions are presented. The fugacity coefficients and activity coefficients are calculated with different equations of state and activity coefficient models, respectively. The selection between the models is not straightforward, but the generally applied approach is to use the activity coefficient models. Because of this, different activity coefficient models, such as eNRTL and LIQUAC, will be mostly examined in this thesis. Some equations of state have also been extended for electrolyte solutions, but they are rarely used due to their inaccuracy in highly non-ideal systems. Inclusion of ionic species also necessitates the use of different thermodynamic standard states for them. Therefore, the general concepts of the generally applied standard state conventions and how they are chosen will be presented as well. The presence of ions in the solution means that the behavior of the solution is dependent on both long- and short-range interactions between species. The short-range interactions can be modeled with typical non-electrolyte activity coefficient models, whereas the modelling of the long-range interactions needs different models. The electrostatic forces induced by the ions are long-range interactions. These phenomena can be modeled through the use of Poisson Boltzmann theory and Born model, and their effect on activity coefficients are accounted mainly with the Debye-Hückel and the mean spherical approximation theories. As most activity coefficient models rely on the Debye-Hückel theory for representing long-range Coulombic interactions, it will be given special attention in the theory part of this thesis. In the applied section of this thesis, symmetric eNRTL activity coefficient model was chosen for a more in-depth analysis, and it was programmed into Flowbat simulation software with the Fortran programming language. The validity of the created Flowbat program was evaluated by comparing its results against the results of the basically identical eNRTL-SR model of Aspen Plus. The tests were performed with the following mixtures: water + 1-propanol + NaCl, water + 1-propanol + NaCl + CaCl₂, water + formic acid, water + ammonia + hydrogen sulfide. Deviations between the activity coefficients of the created Flowbat program and Aspen Plus proved to be negligible. The small deviations are most likely caused by the fundamental differences between the simulation software. Thus, the main goal of the thesis work was reached succesfully. The steps taken during the creation of the Flowbat program and the Aspen Plus simulation have been documented in detail, which can serve as a guideline for the future implementation of the electrolyte models in different process design and analysis studies with electrolyte solutions
Tämän työn tarkoituksena oli luoda Flowbat ohjelma jolla pystytään laskemaan elektrolyyttiliuoksissa olevien komponenttien aktiivisuuskertoimet. Näissä liuoksissa elektrolyytit ovat dissosioituneet ioneiksi, jotka pienissäkin pitoisuuksissa kasvattavat liuoksen epäideaalista käyttäytymistä suuresti. Elektrolyyttiliuosten käyttäytymisen mallintaminen on keskeisessä osassa etenkin erilaisten bioprosessien tarkastelussa, koska näissä prosesseissa on tyypillisesti useita elektrolyyttejä seoksessa. Tämä erittäin epäideaalinen käyttäytyminen täytyy huomioida tarkasti aktiivisuuskertoimia laskettaessa, joka myös vastaavasti vaikuttaa systeemin ominaisuuksiin faasi- ja reaktiotasapainossa. Tämän työn teoriaosa alkaa elektrolyytti- ja ei-elektrolyyttiliuosten kaasu–neste-tasapainolaskentaan käytettävien menetelmien esittelyllä. Näitä menetelmiä kutsutaan ”fii-fii” ja ”gamma-fii” lähestymistavoiksi. Seuraavaksi esitellään eri vaihtoehdot elektrolyyttiliuosten fugasiteettikertoimien ja aktiivisuuskertoimien arviointia varten. Fugasiteettikertoimet voidaan laskea erilaisilla tilanyhtälöillä, kun taas aktiivisuuskertoimet voidaan laskea aktiivisuuskerroin mallien avulla. Valinta näiden mallien välillä ei ole suoraviivaista, mutta yleisimmissä tapauksissa sovelletaan aktiivisuuskerroin malleja. Tästä syystä erinäisiä aktiivisuuskerroin malleja, kuten eNRTL ja LIQUAC, tullaan käsittelemään enimmäkseen tässä työssä. Ionien huomioiminen liuoksessa edellyttää myös eri standarditilojen käyttöä riippuen tarkasteltavasta kohteesta. On siis tarpeellista myös esitellä laajimmin käytetyt standarditilat yleisesti sekä valintaperusteita niiden valinnalle eri seoksilla. Johtuen ionien vaikutuksista, liuoksen käyttäytyminen on riippuvainen eri osaslajien välisistä sekä pitkän kantaman että lyhyen kantaman vuorovaikutuksista. Lyhyen kantaman vuorovaikutuksia voidaan mallintaa perinteisillä ei-elektrolyyteille muodostetuilla aktiivisuuskerroinmalleilla, kun taas pitkän kantaman vuorovaikutuksia täytyy mallintaa eri tyyppisillä malleilla. Ionien aiheuttamat elektrostaattiset voimat ovat pitkän kantaman vuorovaikutuksia. Näitä ilmiöitä pystytään mallintamaan Poisson-Boltzmannin teorian ja Bornin mallin avulla, sekä niiden vaikutus aktiivisuuskertoimiin voidaan huomioida Debye-Hückel ja MSA (mean spherical approximation) teorioiden avulla. Koska suurin osa aktiivisuuskerroinmalleista hyödyntää Debye-Hückel teoriaa pitkän kantaman Coulombisten vuorovaikutusten mallintamiseen, sitä käsitelleään erityisen tarkasti tämän työn teoriaosassa. Työn soveltavassa osuudessa symmetrinen eNRTL aktiivisuuskerroinmalli valittiin perusteellista tarkastelua varten ja tämä malli ohjelmoitiin Flowbat-simulointiohjelmistoon käyttäen Fortran-ohjelmointikieltä. Tämän luodun Flowbat- ohjelman tulosten paikkansapitävyyttä arvioitiin vertaamalla ohjelmalla laskettuja tuloksia Aspen Plus -simulointiohjelmiston käytännössä identtisen ENRTL-SR-mallin laskentatuloksiin. Nämä testit suoritettiin seuraavilla seoksilla: vesi + 1-propanoli + NaCl, vesi + 1-propanoli + NaCl + CaCl₂, vesi + muurahaishappo, vesi + ammoniakki + rikkivety. Erot tässä työssä muodostetun Flowbat-ohjelman ja Aspen Plus -ohjelman laskemissa aktiivisuuskertoimissa osoittautuivat suhteellisen vähäisiksi. Nämä pienet erot johtuvat todennäköisesti käytettyjen ohjelmistojen perustavanlaatuisista eroavaisuuksista. Täten tämän työn varsinainen päämäärä saavutettiin onnistuneesti. Muodostetun Flowbat-ohjelman ja Aspen Plus simulointien luomisen välivaiheet on dokumentoitu työssä yksityiskohtaisesti, joten muodostettua Flowbat-ohjelmaa voidaan tulevaisuudessa käyttää elektrolyyttimallien soveltamiseen erilaisiin prosessisuunnittelu- ja -analyysitarkasteluihin
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Houston, Jonas H. "Developing Dendrifrom Facades Using Flow Nets as a Design Aid." DigitalCommons@CalPoly, 2011. https://digitalcommons.calpoly.edu/theses/670.

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This thesis highlights a method of arriving at form that minimizes the need for high end technology and complex mathematical models, yet has structural principles of load flow at the highlighted methods core. Similar to how graphical statics assisted earlier architects and engineers to arrive at form by relating form and forces, this thesis suggests a method of form finding that relates the flow of stresses within solid masses to possible load-bearing façades. Looking to nature, where an abundance of efficient structural solutions can be found, this thesis focuses on a tree-like structural form called the dendriform. In doing so, this thesis explores the idea that through an understanding of typical load flow patterns and the removal of minimally stressed material of the solid body, dendriforms can be revealed that qualitatively exemplify load flow yet maintain an architectural aesthetic.
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Van, Assche Dimitri. "New methodological perspectives on PROMETHEE methods." Doctoral thesis, Universite Libre de Bruxelles, 2019. https://dipot.ulb.ac.be/dspace/bitstream/2013/287858/6/contratDV.pdf.

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A few methodological contributions to the PROMETHEE method, essentially based on 3 articles:-FlowSort parameters elicitation based on categorization examples;-PROMETHEE is Not Quadratic: An O (qnlog (n)) Algorithm;-Lexicographic constrained multicriteria ordered clustering.
Doctorat en Sciences de l'ingénieur et technologie
info:eu-repo/semantics/nonPublished
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Medeiros, Junior Flavio. "Comportamento da temperatura do fluido infetado no reservatorio em operações de aciclificação de matriz." [s.n.], 1996. http://repositorio.unicamp.br/jspui/handle/REPOSIP/264312.

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Orientador: Osvair Vidal Trevisan
Dissertação (mestrado) - Universidade Estadual de Campinas, Faculdade de Engenharia Mecanica
Made available in DSpace on 2018-07-21T20:38:31Z (GMT). No. of bitstreams: 1 MedeirosJunior_Flavio_M.pdf: 5849713 bytes, checksum: d198866e74ce5c49813b449117b5005b (MD5) Previous issue date: 1996
Resumo: As operações de Acidificação de Matriz são usadas com freqüência para remoção do dano à formação causado por partículas sólidas de minerais que obstruem parcialmente o espaço poroso nas proximidades do poço. A cinética da reação química entre o ácido e os minerais da rocha é bastante sensível à temperatura na qual a reação se desenvolve. A temperatura do ácido na zona injetora depende dos fenômenos de transferência de calor que ocorrem no interior da coluna de injeção e no reservatório submetido à injeção do ácido. Normalmente utiliza-se pequenos volumes de ácidos bombeados com vazões médias e altas tendo como conseqüência pequenos períodos de injeção. O modelo proposto para o cálculo da temperatura na coluna considera os termos de acumulação de calor no interior da coluna e no anular, além da hipótese de poço com raio finito, importantes para soluções de curto tempo. No reservatório são consideradas as perdas para a formação vizinha e analisada a influência do calor gerado pela reação química no comportamento da temperatura do ácido. As hipóteses de condução de calor desprezível na direção do fluxo de fluido, equilíbrio térmico instantâneo, gradiente geotérmico linear e condução de calor unidimensional na formação também são utilizadas. A solução para temperatura do ácido na zona. injetora é apresentada no espaço de Laplace considerando o acoplamento da solução para temperatura na coluna à solução para a temperatura no reservatório através do teorema da convolução. A inversão numérica das funções no espaço de Laplace é feita com o algoritmo de Stehfest. Os resultados obtidos indicam que a temperatura do ácido na zona injetara é bastante sensível à vazão do ácido injetado e aos volumes deslocados a frente do tratamento, podendo atingir valores significativamente inferiores à temperatura do reservatório no decorrer da operação
Abstract: Matrix Acidization is frequently used to remove formation damage from pore plugging caused by deposition of small mineral particles. The kinetics of the chemical reactions between acid and minerais is very sensitive to fluid temperature. The temperature of the acid at the injection zone depth depends on the heat transfer that occurs as the acid travels through the injection column and on the heat exchange with the reservoir rock and fluids. The volume of injected acid is usually small and the injection time is short, compared to other thermal injection operations. Two heat transfer models are proposed: one to calculate the temperature profile along the injection column and other to calculate the temperature distribution within the reservoir. The model proposed here for the heat transfer along the column incorporates heat accumulation (in the fluid and at the annulus) to the heat exchange between the wellbore and the semi-infinite surroundings. For the heat transfer in the reservoir, the modei accounts for the conductive losses to the neighboring formation, the heat generation from the chemical reactions and heat transported by the injected fluid. The eventual temperature distribution for the acid in the reservoir is obtained after coupling of the solution for the column problem and the solution for the reservoir problem. Both problems were solved by Laplace transforms and the final solution is obtained using the convolution theorem. Stehfest's algorithm is used to invert the solution to real domain. Results for typical operational parameters show that the acid temperature is very sensitive to the injection flow rate and to the fluid volumes injected during the pre-treatment. The acid temperature can be significantly lower than the reservoir temperature along the operation
Mestrado
Mestre em Engenharia de Petróleo
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Borges, Edilso Macedo Lopes. "Avaliação de Correlações e Equações de Estado para Determinação de Fatores de Compressibilidade de Gás Natural." Universidade do Estado do Rio de Janeiro, 2009. http://www.bdtd.uerj.br/tde_busca/arquivo.php?codArquivo=2574.

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O fator de compressibilidade (Z) de gás natural é utilizado em vários cálculos na engenharia de petróleo (avaliação de formações, perda de carga em tubulações, gradiente de pressão em poços de gás, cálculos de balanço de massa, medição de gás, compressão e processamento de gás). As fontes mais comuns de valores de Z são medições experimentais, caras e demoradas. Essa propriedade também é estimada por correlações empíricas, modelos baseados no princípio dos estados correspondentes ou equações de estado (EOS). Foram avaliadas as capacidades das EOS de Soave-Redlich-Kwong (SRK), Peng-Robinson (PR), Patel-Teja (PT), Patel-Teja-Valderrama (PTV), Schmidt-Wenzel (SW), Lawal-Lake-Silberberg (LLS) e AGA-8 para previsão desta propriedade em aproximadamente 2200 pontos de dados experimentais. Estes pontos foram divididos em quatro grupos: Grupo 1 (Presença de frações C7+, Grupo 2 (temperaturas inferiores a 258,15 K), Grupo 3 (pressões superiores a 10000 kPa) e Grupo 4 (pressões inferiores a 10000 kPa). Os cálculos utilizando as equações de estado sob diferentes esquemas de previsão de coeficientes binários de interação foram cuidadosamente investigados. Os resultados sugerem que a EOS AGA-8 apresenta os menores erros para pressões de até 70000 kPa. Entretanto, observou-se uma tendência de aumento nos desvios médios absolutos em função das concentrações de CO2 e H2S. As EOS PTV e a EOS SW são capazes de predizer o fator de compressibilidade (Z) com desvios médios absolutos entre os valores calculados e experimentais com precisão satisfatória para a maioria das aplicações, para uma variada faixa de temperatura e pressão. Este estudo também apresenta uma avaliação de 224 métodos de cálculo de Z onde foram utilizadas 8 correlações combinadas com 4 regras de mistura para estimativa de temperaturas e pressões pseudorreduzidas das amostras, junto com 7 métodos de caracterização das propriedades críticas da fração C7+, quando presente na composição do gás. Em função dos resultados são sugeridas, para diferentes tipos de sistemas, as melhores combinações de correlações com regras de mistura capazes de predizer fatores de compressibilidade (Z) com os menores erros absolutos médios relativos
The compressibility factor (Z-factor) of natural gases is necessary in many petroleum engineering calculations (evaluation of formation, pressure drop through a pipe, pressure gradient in gas wells, material balance calculations, gas metering, gas compression and processing). The most common sources of Z-factor values are experimental measurements, which are expensive and time consuming. This property is also estimated from empirical correlations, corresponding state models or equations of state (EOS) when experimental data is unavailable. Capabilities of Soave-Redlich-Kwong (SRK), Peng-Robinson (PR), Patel-Teja (PT), Patel-Teja-Valderrama (PTV), Schmidt-Wenzel (SW), Lawal-Lake-Silberberg (LLS) and AGA-8 to predict this property of 2200 data points under various schemes of binary interaction numbers are thoroughly investigated. This database was split on four groups: Group 1 (presence of hydrocarbon plus fraction - C7+), Group 2 (temperatures lower than 258.15 K), Group 3 (pressures higher than 10000 kPa) e Group 4 (pressures lower than 10000 kPa). The best results were obtained from EOS AGA-8 for pressures up to 70000 kPa. However, an increasing trend in average absolute deviations was observed as a function of CO2 e H2S concentrations. EOS PTV and EOS SW are capable to predict the compressibility factor (Z) with average absolute deviation between calculated and experimental values with satisfactory accuracy for most applications for a wide range of temperature and pressure. This study also presents an evaluation of 224 possible methods of calculating the gas compressibility factor, based on 8 correlations and corresponding state models, combined with 4 mixing rule that predict the pseudo-reduced pressure and temperatures of the mixture, that were combined with 7 methods of characterizing the plus fraction critical properties when present in the gas composition. Results suggest for different systems conditions, the best correlation and mixing rule combination capable of predicting Z-factor with the least average absolute relative error
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Rovenský, Vladimír. "Workflow Modelling." Master's thesis, 2011. http://www.nusl.cz/ntk/nusl-313755.

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The goal of this thesis was to design and implement a graphical editor for workflow modelling, focusing on productivity, simplicity and usability for the common user. The resulting application is integrated into the FlowOpt project, in which the workflows can be used to manage manufacturing processes in small and medium size factories. The workflow editor should serve among other things as a proof of concept of practical usability of the Nested TNA workflow model. The main parts of the thesis include a working implementation of the editor, a procedure for automatic verification of the workflows and support of the XPDL (BPMN) standard for saving workflows.
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謝啟郎. "On the flowof powder material in a laboratory scale screwfeeder." Thesis, 1991. http://ndltd.ncl.edu.tw/handle/55307415993265045244.

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Skalický, Tomáš. "Interactive scheduling and visualisation." Master's thesis, 2012. http://www.nusl.cz/ntk/nusl-313840.

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The goal of this thesis was to design and implement a graphical tool for visualization and editing of schedules which would provide a function for automatic repairing of violated constraints in the schedule. The resulting application called a Gantt Viewer is integrated to the FlowOpt project that represents a complex solution for modeling workflows, creation of schedules from them and analysis of these schedules. The application has been developed with the focus on intuitiveness of the user interface and performance during the management of large schedules. It enables the user to visualize extended manufacturing schedules thanks to the cooperation with other modules of the FlowOpt project. Moreover, the Gantt Viewer incorporates a repair tool exploiting a new Repair-DTP algorithm which is both introduced and demonstrated in this work.
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Lin, Yu-Jie, and 林煜傑. "MODFIM: Mitigating Real-Time Datacenter Network Microbursts by Orderly Detour with Flowlet Intervals." Thesis, 2019. http://ndltd.ncl.edu.tw/handle/v6b3c3.

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碩士
國立交通大學
電機工程學系
108
Microbursts in the datacenter network (DCN) last for a very short period in switches and are difficult to be discovered from a course-grained perspective; Some previous works are dedicated to microburst detection in the network and have not yet tried to mitigate microbursts. Therefore, in this paper, a real-time microburst mitigator, MODFIM, is proposed and utilizes orderly detour with flowlet intervals to reduce packet loss in an in-network manner. MODFIM consists of three major components: (1) Detour Launcher, (2) Packet Sequencer and (3) Post-detour Handler. With the aid of programmable switches, our approach can entirely work in the network. To the best of our knowledge, MODFIM is also the first solution capable of mitigating microbursts in real time, meanwhile achieving zero loss and minimizing packet reordering.
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Books on the topic "Flowout"

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Limited, Property Market Research Services. Shopping flowcount. [S.l.]: Property Market Research Services Limited, 1994.

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Property Market Research Services Limited. Shopping flowcount: Oxford. London: Property Market ResearchServices Limited, 1991.

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Property Market Research Services Limited. Shopping flowcount: Oxford. London: Property Market Research Services Limited., 1989.

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Property Market Research Services Limited. Shopping flowcount: Oxford. London: Property Market Research Services Limited, 1994.

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Property Market Research Services Limited. Banbury: 1996 pedestrian flowcount. London: Property Market Research Services Limited, 1996.

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Chi, S. Chang. The applications of flowcut grouting curtain in mine water preventing controlling. S.l: s.n, 1985.

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Property Market Research Services Limited. Shopping flowcount: An aid to shop property evaluation for retailers, investors and agents. London: Property Market research Services Limited, 1994.

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Shopping flowcount. [s.l.]: Property Market Research Services, 1985.

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Shopping flowcount: Banbury. [s.l.]: Property Market Research Services, 1986.

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(Illustrator), Richard Chasemore, ed. Control and Monitoring with Flowol2 (Basic ICT Skills). Payne-Gallway Publishers, 2003.

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Book chapters on the topic "Flowout"

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Lee, Chankyu, Adarsh Kumar Kosta, Alex Zihao Zhu, Kenneth Chaney, Kostas Daniilidis, and Kaushik Roy. "Spike-FlowNet: Event-Based Optical Flow Estimation with Energy-Efficient Hybrid Neural Networks." In Computer Vision – ECCV 2020, 366–82. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-58526-6_22.

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Xie, Xuemei, Shu Zhang, Jinjian Wu, Xun Xu, Guangming Shi, and Jianyu Chen. "A Real-Time Rock-Paper-Scissor Hand Gesture Recognition System Based on FlowNet and Event Camera." In Pattern Recognition and Computer Vision, 98–109. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-31654-9_9.

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Schanz, Daniel, Andreas Schröder, Sebastian Gesemann, Florian Huhn, Matteo Novara, Reinhard Geisler, Peter Manovski, and Karthik Depuru-Mohan. "Recent Advances in Volumetric Flow Measurements: High-Density Particle Tracking (‘Shake-The-Box’) with Navier-Stokes Regularized Interpolation (‘FlowFit’)." In Notes on Numerical Fluid Mechanics and Multidisciplinary Design, 587–97. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-64519-3_53.

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"Cut-Ups and Glitches: The Freeze and Flowof Los Sampler’s and Squarepusher." In Digital Signatures. The MIT Press, 2016. http://dx.doi.org/10.7551/mitpress/10192.003.0006.

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Raudaskoski, R., E. Turpeinen, H. Turunen, K. Rahkamaa-Tolonen, and R. L. Keiski. "Vapour pressure of CO2 as well as phase envelopes and critical points for CO2 and CH4 mixtures calculated by Aspen Plus and Flowbat simulation software." In Carbon Dioxide Utilization for Global Sustainability, Proceedings of 7ththe International Conference on Carbon Dioxide Utilization, 393–96. Elsevier, 2004. http://dx.doi.org/10.1016/s0167-2991(04)80285-4.

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Conference papers on the topic "Flowout"

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Dhamdhere, Amogh, Lee Breslau, Nicholas Duffield, Cheng Ee, Alexandre Gerber, Carsten Lund, and Subhabrata Sen. "Flowroute." In the 10th annual conference. New York, New York, USA: ACM Press, 2010. http://dx.doi.org/10.1145/1879141.1879183.

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Alim, Abdul, Mehdi Bezahaf, and Laurent Mathy. "FlowOS." In the eighth ACM/IEEE symposium. New York, New York, USA: ACM Press, 2012. http://dx.doi.org/10.1145/2396556.2396588.

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Bezahaf, Mehdi, Abdul Alim, and Laurent Mathy. "FlowOS." In the 2013 workshop. New York, New York, USA: ACM Press, 2013. http://dx.doi.org/10.1145/2535828.2535836.

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Sarmad, Muhammad, Juan Luis Gonzalez, and Hyunjoo Jenny Lee. "Training Flownet on Monkaa Dataset." In 2018 IEEE International Conference on Consumer Electronics - Asia (ICCE-Asia). IEEE, 2018. http://dx.doi.org/10.1109/icce-asia.2018.8552113.

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Botha, Barend W., and Pieter G. Rousseau. "Simulation Investigation of Control Options for Full Load Rejection in the PBMR Closed Cycle Gas Turbine Power Plant." In ASME Turbo Expo 2002: Power for Land, Sea, and Air. ASMEDC, 2002. http://dx.doi.org/10.1115/gt2002-30145.

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The Pebble Bed Modular Reactor (PBMR) power station concept is currently being developed in South Africa by ESKOM and its partners. This high temperature gas cooled reactor is based on the three-shaft recuperative inter-cooled closed loop Brayton cycle. Detailed cycle analysis was performed with the Flownet thermo-hydraulic network simulation software developed at the Engineering Faculty of Potchefstroom University in South Africa. Using Flownet simulations is especially useful for component design and integration. It furthermore enables the study of complex load following and load rejection scenarios and the design of suitable controller algorithms. One of the most severe load control scenarios is that of full load rejection due to the loss of the grid power. This paper discusses the two control concepts that showed the most promising results for full load rejection.
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Dosovitskiy, Alexey, Philipp Fischer, Eddy Ilg, Philip Hausser, Caner Hazirbas, Vladimir Golkov, Patrick van der Smagt, Daniel Cremers, and Thomas Brox. "FlowNet: Learning Optical Flow with Convolutional Networks." In 2015 IEEE International Conference on Computer Vision (ICCV). IEEE, 2015. http://dx.doi.org/10.1109/iccv.2015.316.

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Bart´k, Roman, Milan Jaska, Ladislav Nov´k, Vladimir Rovensky, Tomas Skalicky, Martin Cully, Con Sheahan, and Dang Thanh-Tung. "Workflow Optimization with FlowOpt: On Modelling, Optimizing, Visualizing, and Analysing Production Workflows." In 2011 International Conference on Technologies and Applications of Artificial Intelligence (TAAI). IEEE, 2011. http://dx.doi.org/10.1109/taai.2011.36.

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Zhang, Xi, Di Ma, Xu Ouyang, Shanshan Jiang, Lin Gan, and Gady Agam. "Layered Optical Flow Estimation Using a Deep Neural Network with a Soft Mask." In Twenty-Seventh International Joint Conference on Artificial Intelligence {IJCAI-18}. California: International Joint Conferences on Artificial Intelligence Organization, 2018. http://dx.doi.org/10.24963/ijcai.2018/163.

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Using a layered representation for motion estimation has the advantage of being able to cope with discontinuities and occlusions. In this paper, we learn to estimate optical flow by combining a layered motion representation with deep learning. Instead of pre-segmenting the image to layers, the proposed approach automatically generates a layered representation of optical flow using the proposed soft-mask module. The essential components of the soft-mask module are maxout and fuse operations, which enable a disjoint layered representation of optical flow and more accurate flow estimation. We show that by using masks the motion estimate results in a quadratic function of input features in the output layer. The proposed soft-mask module can be added to any existing optical flow estimation networks by replacing their flow output layer. In this work, we use FlowNet as the base network to which we add the soft-mask module. The resulting network is tested on three well-known benchmarks with both supervised and unsupervised flow estimation tasks. Evaluation results show that the proposed network achieve better results compared with the original FlowNet.
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Jun Ma, James Walker, Chaoli Wang, Scott Kuhl, and Ching Kuang Shene. "FlowTour: An Automatic Guide for Exploring Internal Flow Features." In 2014 IEEE Pacific Visualization Symposium (PacificVis). IEEE, 2014. http://dx.doi.org/10.1109/pacificvis.2014.14.

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Ilg, Eddy, Nikolaus Mayer, Tonmoy Saikia, Margret Keuper, Alexey Dosovitskiy, and Thomas Brox. "FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks." In 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR). IEEE, 2017. http://dx.doi.org/10.1109/cvpr.2017.179.

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Reports on the topic "Flowout"

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C.R. Wilson and T.A. Grant. Data Qulaification Report Flowong Interval Data for Use On the Yucca Mountain Project. Office of Scientific and Technical Information (OSTI), August 2000. http://dx.doi.org/10.2172/893391.

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Jaffe, Adam, and Manuel Trajtenberg. Flows of Knowledge from Universities and Federal Labs: Modeling the Flowof Patent Citations Over Time and Across Institutional and Geographic Boundari. Cambridge, MA: National Bureau of Economic Research, August 1996. http://dx.doi.org/10.3386/w5712.

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