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About 10,000 papers for “Relative phase”
Henry Huang (pnnl, Bogdan Kasztenny (ge, Vahid Madani (pg et al. · 2011
� Vision: Improve power system reliability through widearea measurement, monitoring and control � Mission: Create a robust, widely available and secure synchronized data measurement infrastructure for the interconnected North American electric power system with associated analysis and monitoring tools for better planning and operation, and improved reliability. 2
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Sébastien Argaud (7359779), Benoit Pairot de Fontenay (7359782), Yoann Blache (4688368) et al. · Figshare · 2019
<p>Average curves (blue line for young and red line for elderly groups) and standard deviations (blue and red area) of the continuous relative phase with respect to push-off time. Time equal to 100% corresponds to the takeoff.</p>
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Lames, Martin, Cordes, Ole · OPUS (Augsburg University) · 2021
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Kentaro Kodama (754145), Nobuhiro Furuyama (754146), Tetsunari Inamura (754147) · Figshare · 2015
<p>Circle marker/rigid line represents two-finger in-phase condition, 2f-in; Triangle marker/rigid line represents two-finger anti-phase condition, 2f-an; Circle marker/dashed line represents four-finger in-phase condition, 4f-in; Triangle marker/dashed line represents four-finger anti-phase condition, 4f-an. Error bars represent the standard deviation.</p>
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Kentaro Kodama (754145), Nobuhiro Furuyama (754146), Tetsunari Inamura (754147) · Figshare · 2015
<p>Circle marker/rigid line represents two-finger in-phase condition, 2f-in; Triangle marker/rigid line represents two-finger anti-phase condition, 2f-an; Circle marker/dashed line represents four-finger in-phase condition, 4f-in; Triangle marker/dashed line represents four-finger anti-phase condition, 4f-an. Error bars represent the standard deviation.</p>
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M. M. Honarpour, Leonard Koederitz, A. Herbert Harvey · 2018
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Benjamin Page · 2018
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Kentaro Kodama (754145), Nobuhiro Furuyama (754146), Tetsunari Inamura (754147) · Figshare · 2015
<p>Circle marker/rigid line represents two-finger in-phase condition, 2f-in; Triangle marker/rigid line represents two-finger anti-phase condition, 2f-an; Circle marker/dashed line represents four-finger in-phase condition, 4f-in; Triangle marker/dashed line represents four-finger anti-phase condition, 4f-an. Error bars represent the standard deviation.</p>
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Jonathan Wheat, R. W. Bartlett, C Milner · SHURA (Sheffield Hallam University Research Archive) (Sheffield Hallam University) · 2003
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L. Baker · Proceedings of SPE Enhanced Oil Recovery Symposium · 1988
Three-Phase Relative Permeability Correlations L.E. Baker L.E. Baker Amoco Production Co. Search for other works by this author on: This Site Google Scholar Paper presented at the SPE Enhanced Oil Recovery Symposium, Tulsa, Oklahoma, April 1988. Paper Number: SPE-17369-MS https://doi.org/10.2118/17369-MS Published: April 16 1988 Cite View This Citation Add to Citation Manager Share Icon Share Twitter LinkedIn Get Permissions Search Site Citation Baker, L.E. "Three-Phase Relative Permeability Correlations." Paper presented at the SPE Enhanced Oil Recovery Symposium, Tulsa, Oklahoma, April 1988. doi: https://doi.org/10.2118/17369-MS Download citation file: Ris (Zotero) Reference Manager EasyBib Bookends Mendeley Papers EndNote RefWorks BibTex Search Dropdown Menu nav search search input Search input auto suggest search filter All ContentAll ProceedingsSociety of Petroleum Engineers (SPE)SPE Improved Oil Recovery Conference Search Advanced Search AbstractSeveral correlations have been proposed for prediction of three-phase relative permeability from two-phase data or from saturation/capillary-pressure relationships. These include the models of Stone, Hirasaki, Corey et al., Naar and Wygal, Land, Aleman, and Parker et al. This paper compares predictions of these models with predictions of two additional models (saturation-weighted interpolation and true-linear interpolation). The comparison is made using all the published three-phase experimental relative permeability data complete enough for application of the models.The comparison shows that the models are often not very good predictors of the experimental data. This points out a need for better relative permeability models in cases where three-phase flow may have a significant effect. In most cases, straight-line interpolation or saturation-weighted interpolation between the permeabilities at the two-phase boundaries of the three-phase flow region provided a better fit of the experimental data than did the theoretically-based models.The paper also demonstrates the utility of comparing the effects of different relative permeability models before using them in a reservoir simulation. Sometimes the result of a simulation can be heavily biased by the choice of relative permeability model used.IntroductionThree-phase relative permeability measurements and correlation methods have been reported in the literature since 1941. This paper lists the sources of published three-phase relative permeability data and compares the simple correlation methods which have been proposed for prediction of three-phase relative permeability. Two additional interpolation methods are proposed and compared to the published methods.DiscussionData Sources for Three-Phase Relative PermeabilityThree-phase (gas/oil/water) relative permeability data for water-wet sandpacks have been reported by Leverett and Lewis, Reid, Hosain, Snell and Ivanov. Three-phase data for water-wet cores have been reported by Caudle, et al. Corey, et al. Sarem, Donaldson and Dean, Saraf, Juckert; Saraf et al., van Spronsen, Holmgren and Morse, Slack and Ehrlich and Schneider and Owens. Very limited three-phase data for oil-wet cores (gas and water relative permeabilities at constant, non-flowing oil saturation) were published by Schneider and Owens. Descriptions of the test procedures and calculation methods are available in the original references. Donaldson and Kayser provide a summary of the test protocols and results for most of the data published prior to 1980.The data for water-wet cores and for sandpacks show generally consistent behavior; isoperms (contours of constant phase relative permeability) for gas and water primarily depend on the gas or water saturation respectively, and are weak functions of the saturations of other phases present. The permeability to each phase is clearly affected by the saturation history when there is hysteresis between the inhibition and drainage curves for that phase. These data indicate that a strongly wetting phase (water) and a non-wetting phase (gas) are affected little by interactions with other phases (except for the physical obstruction caused by the presence of the other phases). An intermediate wetting phase (oil) appears to be more influenced by interactions with the other phases. The nature of the inter action is not clear, however.P. 539^ Keywords: upstream oil & gas, artificial intelligence, saturation, gas saturation, correlation, method ii, permeability, fluid dynamics, oil saturation, linear interpolation Subjects: Reservoir Fluid Dynamics, Improved and Enhanced Recovery, Flow in porous media This content is only available via PDF. 1988. Society of Petroleum Engineers You can access this article if you purchase or spend a download.
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García Quijas, P.C., Arévalo Aguilar, L.M., Arroyo-Carrasco, M.L. · Redalyc (Universidad Autónoma del Estado de México) · 2011
"The relative phase gate is a new two-qubit gate that has been recently defined. This gate introduces a phase on two qubits when the two basis states are on unequal states and it is a natural and logical extension of the one-qubit phase gate. When the phase introduced is π it ˆ produces the following evolution Urelative (α|0 1 + β|1 1 ) (γ|0 2 + δ|1 2 ) → (α|0 1 − β|1 1 ) (γ|0 2 − δ|1 2 ). When the phase is arbitrary it produces an entangled state. The goal of this paper is to characterize the relative phase gate by studying the properties of the entangled state generated by its application on an unknown or arbitrary state. This is a new quantum entangled state which have special characteristics. We calculate its Concurrence and Geometric Measure of Entanglement (GME) and compare them to the respective entanglement measure of the states generated by the application of the control Z phase gate to the unknown state."
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Viviane Kostrubiec (815084), Guillaume Dumas (101415), Pier-Giorgio Zanone (232888) et al. · Figshare · 2015
<p>Individual distributions of produced RP during the first (blue line), third (cyan line) and last (red line) practice block for two individuals (top, and bottom panels, respectively). Left panels pertain to Exposition, right panels to Memory; the vertical dotted line represents the 90° RP specified by the VT. See text for details.</p>
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2025
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Laura S. Cuijpers (771732), Frank T. J. M. Zaal (488986), Harjo J. de Poel (286031) · Figshare · 2015
<p>Values based on trunk movements (upper panels) and handle movements (lower panels) for in-phase (left panels) and antiphase (right panels) crew coordination depicted against performed stroke rates for all eleven dyads. Black lines indicate the means over the eight dyads as used in the RM ANOVA for stroke rates 30–36.</p>
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L. Baker · SPE Enhanced Oil Recovery Symposium · 1988
ABSTRACT Several correlations have been proposed for prediction of three-phase relative permeability from two-phase data or from saturation/capillary-pressure relationships. These include the models of Stone, Hirasaki, Corey et al., Naar and Wygal, Land, Aleman, and Parker et al. This paper compares predictions of these models with predictions of two additional models (saturation-weighted interpolation and true-linear interpolation). The comparison is made using all the published three-phase experimental relative permeability data complete enough for application of the models. The comparison shows that the models are often not very good predictors of the experimental data. This points out a need for better relative permeability models in cases where three-phase flow may have a significant effect. In most cases, straight-line interpolation or saturation-weighted interpolation between the permeabilities at the two-phase boundaries of the three-phase flow region provided a better fit of the experimental data than did the theoretically-based models. The paper also demonstrates the utility of comparing the effects of different relative permeability models before using them in a reservoir simulation. Sometimes the result of a simulation can be heavily biased by the choice of relative permeability model used.
Cited by 276
Robin Burgess‐Limerick, Bruce Abernethy, Robert J. Neal · Journal of Biomechanics · 1993
Cited by 179
Laura S. Cuijpers (771732), Frank T. J. M. Zaal (488986), Harjo J. de Poel (286031) · Figshare · 2015
<p>Absolute error of in-phase (left panel) and antiphase (right panel) crew coordination. Values depicted against performed stroke rates for all eleven dyads. Black lines indicate the means over the eight dyads as used in the RM ANOVA for stroke rates 30–36.</p>
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G. Nienhuis · Lecture notes in physics · 2001
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Claire Chambers (777152), Gaiqing Kong (6808118), Kunlin Wei (284229) et al. · Figshare · 2019
<p>(<b>A</b>) Main stages of data analysis performed on pose estimates from videos of walking pairs. (<b>i</b>) We tracked the pose of Walker 1 and Walker 2 from each video clip. For details, see <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0217861#pone.0217861.g001" target="_blank">Fig 1A</a>. (<b>ii</b>) We detrended key point coordinates for each walker within frames by subtracting a reference point on the same skeleton (y<sub>ref</sub>, the neck) from the ankle coordinates (y<sub>a</sub>) and dividing by the length of the skeleton (l). (<b>iii</b>) This resulted in a time-series of y-coordinates for the left and right ankles for Walker 1 and Walker 2. (<b>iv</b>) For each walker, we subtracted right from left ankle coordinates to give a time series of the left-right displacement between ankles. (<b>v</b>) We used the Hilbert phase of the displacement signal to approximate walking angle for each walker. (<b>vi</b>) Finally, we computed the difference between the phase of Walker 1 and Walker 2 to obtain a time series of the relative phase of the walkers (upper panel) from which we computed the distribution of relative phase on the circular axis (lower panel). For a similar analysis, see [<a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0217861#pone.0217861.ref017" target="_blank">17</a>] (<b>B</b>) Pair walking in phase. The ankle displacement signal overlaps for Walker 1 and Walker 2, as the pair walks perfectly in phase. There is therefore a constant relative phase of 0. (<b>C</b>) Pair walking in anti-phase. The displacement signals are in antiphase with each other. There is a constant absolute phase difference of <i>π</i> between the signals in the Hilbert phase time series, leading to a relative phase distribution with a peak at <i>π</i>.</p>
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Jonathan L. Rosner, Denis A. Suprun · 2003
In a recently suggested method for measuring the weak phase γ in B ± → K ± (KK ∗)D decays, the relative strong phase δD in D 0 → K ∗+ K − and D 0 → K ∗ − K + decays (equivalently, in D 0 → K ∗+ K − and D 0 → K ∗+ K −) plays a role. It is shown how a study of the Dalitz plot in D 0 → K + K − π 0 can yield information on this phase, and the size of the data sample which would give a useful measurement is estimated. PACS numbers: 13.25.Ft; 13.25.-k; 14.40.Lb The relative strong phases for charmed particle decays obey patterns which are not easily anticipated from first principles but are subject to detailed experimental study, for example through the construction of amplitude triangles based on experimentally observed decay rates [1, 2, 3, 4]. It has also been suggested [5, 6, 7] that the final-state phase in the doubly Cabibbo-suppressed decay D 0 → K + π − may not be the same as that in the Cabibbo-favored decay D 0 → K − π +, even though they should be equal in the flavor-SU(3) limit [8]. Methods for measuring their difference have been proposed [9, 10]. A Dalitz-plot method for measuring the corresponding phase difference in D 0 → K ∗+ π − and D 0 → K ∗ − π + makes use of the interference between K ∗+ and K ∗− bands in D 0 → KSπ + π − and is compatible with zero strong phase difference [11, 12]. Recently the question has been raised of the relative strong phase δD between D 0 → K ∗+ K − and D 0 → K ∗ − K + decays (equivalently, in D 0 → K ∗+ K − and D 0 → K ∗+ K − ) [13]. This phase is important in a proposed method for measuring the weak phase γ in the B ± → (KK ∗)DK ± decays. In the present note we point out that δD may be measured very directly through the interference of K ∗+ and K ∗ − bands in D 0 → K + K − π 0 decays [14]. We discuss the size of present and anticipated samples of this final state and indicate the attainable experimental precision for δD. 1 To be submitted to Phys. Rev. D. 1 We follow the notations of Ref. [13] and define the D decay amplitudes and their ratio
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