Abstract: Method and system are provided for uncertainty quantification analysis with efficient two dimensional (2D) random fields. The method may be used in a modeling system. The method may include providing a covariance matrix of a set of parameters with a covariance function describing an occurring real world phenomenon; and generating a random field based on the covariance matrix including a controlled rank reduction to produce a reduced-rank random field dataset provided as a data structure with data compression. Generating the random field applies rank reduction of a block circulant with circulant blocks (BCCB) representation of a covariance matrix obtained from the covariance matrix using existing symmetry of eigenvalues to eliminate redundant computations. The method may include outputting a reduced-rank random field dataset for use in a user-provided model of the modeling system for uncertainty quantification analysis and simulation of the real world phenomenon.

Abstract: Systems and methods for modeling petroleum reservoir properties using a gridless reservoir simulation model are provided. Data relating to geological properties of a reservoir formation is analyzed. A tiered hierarchy of geological elements within the reservoir formation is generated at different geological scales, based on the analysis. The geological elements at each of the different geological scales in the tiered hierarchy are categorized. Spatial boundaries between the categorized geological elements are defined for each of the geological scales in the tiered hierarchy. A scalable and updateable gridless model of the reservoir formation is generated, based on the spatial boundaries defined for at least one of the geological scales in the tiered hierarchy.

Abstract: According to some embodiments, a surrogate model creation computer system includes a user interface to interact with a subject matter expert to create a scripted physics-based model workflow associated with an industrial asset. The surrogate model creation computer system further includes a surrogate model creation engine to automatically execute the scripted physics-based model workflow, in connection with a physics-based model of the industrial asset, to generate at least one response surface of the physics-based model workflow. The surrogate model creation engine may then use the response surface and a machine learning process to automatically create a surrogate model of the industrial asset. It may then be arranged to output the surrogate model for use by a substantially real-time analytics package associated with the industrial asset. According to some embodiments, scripting for a physics-based model workflow may also be automatically created.

Abstract: A drilling well underground kick processing method and device are described.

Abstract: Aiming at insufficient drying seafood on-board caused by hull swings, the present invention involves the establishment of location correction system for processing seafood transportation displaced by wind waves and anti-accumulation drying processing method. This invention employs CFD-DEM method to simulate the state and distribution of the material particles modulated by the deflector angle and wind speed. Finally, the optimized rotation angle of deflector and wind speed are obtained where material particles are equally distributed. Meanwhile, the uniform and fast drying of the marine products in the swinging hull are achieved. This invention shows the great advantages of high efficiency, automation and continuity.

Abstract: A method and system for outputting a state of a physical system using a calibrated model of the physical system, where the calibrated model is used to generate a model prediction. The system includes a plurality of sensors connected to a routing node are used to monitor measured data of the physical system. A first sensor of the plurality of sensors includes a logic module configured to determine an uncertainty quantification, and to combine the uncertainty quantification with the model prediction to output the state of the physical system.

Abstract: A computational stratigraphy model may be run for M mini-steps to simulate changes in a subsurface representation across M mini-steps (from 0-th subsurface representation to M-th subsurface representation), with a mini-step corresponding to a mini-time duration. The subsurface representation after individual steps may be characterized by a set of computational stratigraphy model variables. Some or all of the computational stratigraphy model variables from running of the computational stratigraphy model may be provided as input to a machine learning model. The machine learning model may predict changes to the subsurface representation over a step corresponding to a time duration longer than the mini-time duration and output a predicted subsurface representation. The subsurface representation may be updated based on the predicted subsurface representation outputted by the machine learning model.

Abstract: Data is received that comprises a full model for a physical object having a rotating part and a stationary part. The physical object includes fields coupled between the rotating part and the stationary part. A mesh is then generated for a portion of the physical object that includes a rotating mesh and a stationary mesh. Thereafter, a partial simulation model is created based on the full model and the mesh. Coupling relationships are established for the fields between the rotating mesh and the stationary mesh in the partial simulation model. The fields are then solved based on the coupling relationship of the partial simulation model. Thereafter, fields of the full model can be recovered based on the solved fields. Related apparatus, systems, techniques and articles are also described.

Abstract: The present invention discloses an optimized design method for a temporary blocking agent to promote uniform expansion of fractures produced by fracturing in horizontal wells, which comprises the following steps: calculating a particle size and a volume range of a candidate temporary blocking agent in an applicable target area; establishing a hydraulic fracture expansion calculation model with complete fluid-solid coupling; calculating an optimal average particle size required for effective temporary blocking; determining the particle size distribution of the temporarily blocked particles according to the optimal average particle size; calculating the particle volume of the temporary blocking agent required for effective temporary blocking; and predicting and evaluating a fracturing effect after the preferred temporary blocking design is adopted in the target area.

Abstract: A method of determining at least one property of a liquid system using a modeling system, the liquid system including at least one molecule in a solvent, the modeling system including a processor, comprises generating a quantum model of the liquid system using the processor of the modeling system, the quantum model including a device region and a lead region, the device region being spherical, paraboloid, cubic or arbitrary in shape and encompassing the at least one molecule and a portion of the solvent of the liquid system, the lead region encompassing a region of the solvent surrounding the device region, determining a first property of the device region by solving a first quantum equation for the device region using the processor of the system, determining the first property of the lead region by solving the first quantum equation under open boundary conditions for the lead region using the processor of the system, and combining the first property of the device region with the first property of the lead re

Abstract: A method and apparatus for generating a fluid saturation model for a subsurface region. One example method generally includes obtaining a model of the subsurface region; for each of a plurality of fluid types: flooding the subsurface region model with the fluid type to generate a flood model; and running a trial petrophysical inversion with the flood model to generate a trial petrophysical model; identifying potential fluid contact regions in the trial petrophysical models; partitioning the subsurface region model at the identified potential fluid contact regions; and constructing the fluid saturation model from the partitioned subsurface region model.

Abstract: According to embodiments, a system, method and non-transitory computer-readable medium are provided to receive time series data associated with one or more sensors values of a piece of machinery at a first time period, perform a non-linear transformation on the time-series data to produce one or more nonlinear temporal embedding outputs, and projecting each of the nonlinear temporal embedding outputs to a different dimension space to identify at least one causal relationship in the nonlinear temporal embedding outputs. The nonlinear embeddings are further projected to the original dimension space to produce one or more causality learning outputs. Nonlinear dimensional reduction is performed on the one or more causality learning outputs to produce reduced dimension causality learning outputs. The learning outputs are mapped to one or more predicted outputs which include a prediction of one or more of the sensor values at a second time period.

Abstract: A method of determining a modified shape of a computer-aided design model of an object or a partition thereof is described. With the method, at least two reference landmarks are placed at a reference position with respect to the shape of the object or to the partition. An adjustment landmark is placed at the reference position of the corresponding reference landmark. The adjustment landmarks are displaced from the reference position to a modified position, and a displacement between the modified position and the reference position is obtained. The modified shape of the object or the partition is generated by modifying the shape of the object or the partition by applying a homogeneous function of the displacement to the computer-aided design model of the shape of the object or the partition.

Abstract: A method and system is provided for drilling a wellbore that traverses a geological formation using a drilling tool. The method and system derives a plurality of formation models that characterize the geological formation. The number of formation models represent layer structures with a heterogeneity (such a fault) offset laterally at variable distance relative to position of the drilling tool. Simulated directional resistivity data of the drilling tool is derived from the plurality of formation models. Certain simulated directional resistivity data are combined or selected for processing as multi-dimensional cross-plot data. Measured directional resistivity data obtained by the drilling tool is used to evaluate the multi-dimensional cross-plot data to determine distance of the heterogeneity relative to position of the drilling tool.

Abstract: Techniques for electromagnetic modelling of EM structures are described. Krylov subspace of a second EM structure is augmented with Eigen vectors of a first EM structure to form an augmented space. The second EM structure is a design variant of the first EM structure and the first EM structure is already EM modelled and simulated. Thereafter, Maxwell's equations for the second EM structure are solved using the augmented space.

Abstract: Exemplary embodiments described herein are directed to tire pitch sequence design methodologies that are usable to develop tire tread pitch sequences that will minimize objectionable tonal qualities and disperse the acoustic energy produced during tire rotation across a wider frequency band. The exemplary design methodologies employ iterative randomization of pitch subsequences, waveform generation and analysis of pitch subsequences and full pitch sequences, and associated sorting and ranking using an objective function with an applied penalty factor.

Abstract: Method and system for model fitting to hierarchical time series clusters is described. A plurality of time series to be analyzed are clustered as hierarchical time series clusters using Dynamic Time Warping (DTW) as the optimal distance measure to create time series hierarchical clusters. The method disclosed recognizes least dissimilarity time series in the hierarchical time series clusters, and a best fit model is identified for the time series. The same model is continued up the hierarchy along the branch of the hierarchical time series clusters till the model identified satisfies Error Tolerance (ET) and Error Difference (ED) criteria. The method reduces the model fitting time or model building time by more than 50%.