This invention relates to an autonomous flow management system for regulating a multiphase flow in a pipeline-based transport system which utilises a novel computer-implemented method for predicting the multiphase fluid behaviour in the pipeline-based transport system. The computer-implemented method comprises applying a one-dimensional computational fluid dynamic applying a finite volume method in the solver and which estimates the mass flux out of the finite control volumes by i) applying a polynomial to spatially reconstruct the mass present in each finite control volume, ii) reconstructing the flow velocity as a function of the x-component of the flow velocity vector to determine a domain of dependence for each finite control volume representing the distance the fluid has travelled during a time step, and iii) sum the spatially reconstructed mass being present in the domain of dependence for each finite control volume and assume the summarised mass passes out of the respective finite control volume over the applied time step.
G06F 30/28 - Optimisation, vérification ou simulation de l’objet conçu utilisant la dynamique des fluides, p. ex. les équations de Navier-Stokes ou la dynamique des fluides numérique [DFN]
E21B 44/00 - Systèmes de commande automatique spécialement adaptés aux opérations de forage, c.-à-d. systèmes à fonctionnement autonome ayant pour rôle d'exécuter ou de modifier une opération de forage sans l'intervention d'un opérateur humain, p. ex. systèmes de forage commandés par ordinateurSystèmes spécialement adaptés à la surveillance de plusieurs variables ou conditions de forage
This invention relates to a computer-implemented method for predicting fluid behaviour in pipeline-based transport systems for transport of multiphase flows involving slug flows which forces one-dimensional CFD models to predict a Taylor bubble velocity being equal to a predetermined Taylor bubble velocity known to be realistic. The enforcement of the 1D CFD model to arrive at the predetermined Taylor bubble velocity is obtained by introducing a force term in the momentum equation for the gas phase at and near the slug-tail top and which is proportional to the difference between the Taylor bubble velocity predicted by the CFD model and the predetermined Taylor bubble velocity. The invention further relates to an autonomous system applying the computer-implemented method.
G06F 30/28 - Optimisation, vérification ou simulation de l’objet conçu utilisant la dynamique des fluides, p. ex. les équations de Navier-Stokes ou la dynamique des fluides numérique [DFN]
G06F 30/23 - Optimisation, vérification ou simulation de l’objet conçu utilisant les méthodes des éléments finis [MEF] ou les méthodes à différences finies [MDF]
G06F 30/27 - Optimisation, vérification ou simulation de l’objet conçu utilisant l’apprentissage automatique, p. ex. l’intelligence artificielle, les réseaux neuronaux, les machines à support de vecteur [MSV] ou l’apprentissage d’un modèle
This invention relates to a computer-implemented method for predicting fluid behaviour in pipeline-based multiphase flows, wherein the method comprises applying a one-dimensional computational fluid dynamic applying a finite volume method in the solver and which estimates the mass flux out of the finite control volumes by i) applying a polynomial to spatially reconstruct the mass present in each finite control volume, ii) reconstructing the flow velocity as a function of the x-component of the flow velocity vector to determine a domain of dependence for each finite control volume representing the distance the fluid has travelled during a time step, and iii) sum the spatially reconstructed mass being present in the domain of dependence for each finite control volume and assume the summarised mass passes out of the respective finite control volume over the applied time step.
G06F 30/28 - Optimisation, vérification ou simulation de l’objet conçu utilisant la dynamique des fluides, p. ex. les équations de Navier-Stokes ou la dynamique des fluides numérique [DFN]
This invention relates to an autonomous flow management system for regulating a multiphase flow in a pipeline-based transport system which utilises a novel computer-implemented method for predicting the multiphase fluid behaviour in the pipeline-based transport system. The computer-implemented method comprises applying a one-dimensional computational fluid dynamic applying a finite volume method in the solver and which estimates the mass flux out of the finite control volumes by i) applying a polynomial to spatially reconstruct the mass present in each finite control volume, ii) reconstructing the flow velocity as a function of the x-component of the flow velocity vector to determine a domain of dependence for each finite control volume representing the distance the fluid has travelled during a time step, and iii) sum the spatially reconstructed mass being present in the domain of dependence for each finite control volume and assume the summarised mass passes out of the respective finite control volume over the applied time step.
G05B 17/02 - Systèmes impliquant l'usage de modèles ou de simulateurs desdits systèmes électriques
E21B 43/00 - Procédés ou dispositifs pour l'extraction de pétrole, de gaz, d'eau ou de matériaux solubles ou fusibles ou d'une suspension de matières minérales à partir de puits
5.
METHOD AND TOOL FOR PLANNING AND DIMENSIONING SUBSEA PIPELINE-BASED TRANSPORT SYSTEMS FOR MULTIPHASE FLOWS
This invention relates to a computer-implemented method for predicting fluid behaviour in pipeline-based transport systems for transport of multiphase flows involving slug flows which forces one-dimensional CFD models to predict a Taylor bubble velocity being equal to a predetermined Taylor bubble velocity known to be realistic. The enforcement of the 1D CFD model to arrive at the predetermined Taylor bubble velocity is obtained by introducing a force term in the momentum equation for the gas phase at and near the slug-tail top and which is proportional to the difference between the Taylor bubble velocity predicted by the CFD model and the predetermined Taylor bubble velocity. The invention further relates to an autonomous system applying the computer-implemented method.
G06F 30/28 - Optimisation, vérification ou simulation de l’objet conçu utilisant la dynamique des fluides, p. ex. les équations de Navier-Stokes ou la dynamique des fluides numérique [DFN]
This invention relates to a computer-implemented method for predicting fluid behaviour in pipeline-based multiphase flows, wherein the method comprises applying a one-dimensional computational fluid dynamic applying a finite volume method in the solver and which estimates the mass flux out of the finite control volumes by i) applying a polynomial to spatially reconstruct the mass present in each finite control volume, ii) reconstructing the flow velocity as a function of the x-component of the flow velocity vector to determine a domain of dependence for each finite control volume representing the distance the fluid has travelled during a time step, and iii) sum the spatially reconstructed mass being present in the domain of dependence for each finite control volume and assume the summarised mass passes out of the respective finite control volume over the applied time step.
G06F 30/28 - Optimisation, vérification ou simulation de l’objet conçu utilisant la dynamique des fluides, p. ex. les équations de Navier-Stokes ou la dynamique des fluides numérique [DFN]
E21B 41/00 - Matériel ou accessoires non couverts par les groupes
max, where K is a correlation coefficient. The invention further relates to applying the computer implemented method for designing a pipeline-based fluid transport system for transport of multiphase fluids.
G06F 30/28 - Optimisation, vérification ou simulation de l’objet conçu utilisant la dynamique des fluides, p. ex. les équations de Navier-Stokes ou la dynamique des fluides numérique [DFN]
G06F 30/13 - Conception architecturale, p. ex. conception architecturale assistée par ordinateur [CAAO] relative à la conception de bâtiments, de ponts, de paysages, d’usines ou de routes
This invention relates to a method for one dimensional simulation of multiphase fluid flow in pipelines enabling determination of pressure drop, fluid volume fractions, and heat and mass transfer coefficients in multiphase pipeline flows, wherein the method comprises providing real world values of the superficial velocities of each of the continuous fluid phases, the pipe diameter, and the inclination angle of the pipeline relative to the horizontal plane, providing initial values describing the flow geometry of the multiphase flow, where the initial values at least comprises the axial pressure gradient and the positions of the large scale interfaces separating the continuous fluid phases, employing a one-dimensional numerical model based on Eulerian formulated transport equations of the multiphase flow in the pipeline, solving the numerical model with the set of input values from step a) and b) to determine the flow parameters of the multiphase flow, and displaying one or more of the determined flow parameters.
This invention relates to a method for transient quasi three-dimensional simulation of multiphase fluid flow in pipelines by employing a hybrid numerical model which treats different continuous fluid phases as separate phases coupled together by local boundary conditions at large scale interfaces and which treats dispersed phases within the continuous phases as dispersed fluids according to the drift flux concept.
This invention relates to a method for one dimensional simulation of multiphase fluid flow in pipelines enabling determination of pressure drop, fluid volume fractions, and heat and mass transfer coefficients in multiphase pipeline flows, wherein the method comprises providing real world values of the superficial velocities of each of the continuous fluid phases, the pipe diameter, and the inclination angle of the pipeline relative to the horizontal plane, providing initial values describing the flow geometry of the multiphase flow, where the initial values at least comprises the axial pressure gradient and the positions of the large scale interfaces separating the continuous fluid phases, employing a one-dimensional numerical model based on Eulerian formulated transport equations of the multiphase flow in the pipeline, solving the numerical model with the set of input values from step a) and b) to determine the flow parameters of the multiphase flow, and displaying one or more of the determined flow parameters.
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