Abstract: Provided is a replay system of ship collision accidents using a free running model test including a ship collision replay simulation system configured to replay the ship collision accidents by receiving a navigation trajectory of the ship collision accidents; a free running model system configured to perform a free running model test of the collision accident ship using a free running model ship; and a free running control system configured to remotely perform the free running model test, in which the replay of the ship collision accidents is performed by simultaneously performing a simulation in the ship collision replay simulation system and a free running model test in the free running model system.

Abstract: A workflow for fracturing a subterranean formation includes providing fracturing databases or models for the hydrocarbon wellbore, selecting one or more fracturing fluid systems for fracturing the subterranean formation based on the fracturing databases or models and recommending at least one of the one or more selected fracturing fluid systems for fracturing the subterranean formation. Additionally, a workflow controller for fracturing a subterranean formation includes a workflow processing unit having fracturing models or databases to determine functional aspects of one or more fracturing fluid systems to provide a fracturing fluid system recommendation for the subterranean formation, and a fracturing fluid delivery unit that applies the fracturing fluid system recommendation to the subterranean formation. A hydrocarbon wellbore fracturing system for a subterranean formation is also provided.

Abstract: Systems and methods are provided to move the solving of multi-physics engineering simulations away from specific CAE, or combination CAD and CAE, applications. In one embodiment, an Application Programming Interface (API) is provided that can be integrated into any device, system, application, or software workflow. The API exposes a series of functions or modules that a user can use to create a simulation file that includes parameters such as a model for the simulation, physics for the simulation, timings for the simulation, and other parameters. The simulation file may then be executed on one or more nodes of a cloud-based computer cluster, and the results of executing the simulation can be provided back to the user. The user may then visualize the results using their preferred device, software, application, or workflow.

Abstract: Predicting the efficiency of downhole mechanical removal of one or more accreted materials from one or more wellbore walls may prevent the unnecessary consumption of resources in a wellbore fluids displacement operation. A method and system for removing accreted materials in a wellbore is provided, wherein the efficiency of mechanical removal of accreted materials may be characterized based, at least in part, on a comparison between one or more actual shear stresses exerted by a wellbore servicing fluid at one or more depths of the wellbore and one or more required shear stresses to remove the accreted materials from the depth. The one or more required shear stresses may be determined using one or more of one or more known properties of the one or more accreted materials, one or more rheology models, one or more hydraulic parameters, one or more wellbore hydraulic models, and one or more downhole conditions.

Abstract: A computer-implemented method for obtaining a detection and/or a prediction about a state of a physical system is provided.

Abstract: A data processing system for training a neural network, the data processing system comprising: a first set of one or more processing units running one model of the neural network, a second set of one or more processing units running another model of the neural network, a data storage, and an interconnect between the first set of one or more processing units, the second set of processing units and the data storage, wherein the data storage is configured to provide over the interconnect, training data to the first set of one or more processing units and the second set of one more processing units, wherein each of the first and second set of processing units is configured to, when performing the training, evaluate loss for the respective training iteration including a measure of the dissimilarity between the output values calculated based on the different modes running on the first and second set of processing units, wherein the dissimilarity measure is weighted in the evaluation of the loss in accordance with a

Abstract: Embodiments provide methods and systems for performing computer-based simulations of real-world objects. In one such embodiment, a mesh-based model representing a real-world object and composed of a plurality of mesh elements each having geometric properties is obtained. In turn, a simulation of physical behavior of the real-world object is performed using the mesh-based model. According to an embodiment, performing the simulation includes, for at least one mesh element, modifying as a function of the geometric properties, measurement values, amounts, or levels of material properties used to determine the physical behavior.

Abstract: Computer implemented techniques for simulating a fluid flow about a surface of a solid are disclosed. These techniques involve receiving a model of a simulation space including a lattice structure represented as a collection of voxels and a representation of a physical object, with the voxels having appropriate resolutions to account for surfaces of the physical object. The techniques also involve simulating movement of particles in a volume of fluid, with the movement of the particles causing collisions among the particles, identifying faces between two voxels where at least one of the faces violates a stability condition, computing a modified flux using a spatially averaged gradient in the vicinity of the two voxels where the at least one of the faces violates the stability condition, and performing by the computing system, advection operations on the particles to subsequent voxels.

Abstract: Methods and devices for seismic exploration of an underground structure apply W2-based full-wave inversion to transformed synthetic and seismic data. Data transformation ensures that the synthetic and seismic data are positive definite and have the same mass using an adaptive normalization. This approach yields superior results particularly when the underground structure includes salt bodies.

Abstract: The disclosure provides a linearization identification method for a hysteresis model of piezoceramics based on Koopman operators, and belongs to the field of precision positioning. In order to solve the problem of hysteresis of a piezoelectric actuator in practical application, the disclosure further provides the linearization identification method for the hysteresis model of the piezoceramics based on Koopman operators. The method of the disclosure includes: Step I, building a structure of the hysteresis model of the piezoceramics; Step II, determining parameters of the hysteresis model of the piezoceramics; Step III, obtaining a great amount of simulation data by using simulation software; Step IV, performing deep learning training based on Koopman operators; and Step V, determining a linearization model for the hysteresis model of the piezoceramics based on Koopman operators. The disclosure is applicable to piezoelectric actuator control and precision positioning.

Abstract: The systems and methods perform simulations in a systematic way as to minimize redundant data fetching and computations and reduce run-time. The systems and methods can cache information that can be used across multiple control strategies and speed up the process of simulation by several orders of magnitude. A business analyst can first generate a set of matching criteria that meets business intuition for the specific initiative and set of stores under analysis. A systematic approach in building similar sites models from control strategies that are combinations of this set of matching criteria can be applied to minimize data extraction and processing. The similarity function allows for the distance of each criterion to be combined linearly. Data for each matching criteria only needs to be extracted once but can be used in all control strategies that uses that criteria.

Abstract: Systems and methods of the present disclosure enable automated roof planning using a processor. The processor receives a digital image of a roof of a structure and models each roof plane of the roof to generate a roof model. The processor determines dimensions of each roof plane based on the roof model. The processor retrieves roofing accessory data from a database, the roofing accessory data solar roofing accessory part identifiers and solar roofing accessory part performance characteristics for solar roofing accessories. The processor simulates multiple candidate roof layouts based on the dimensions of each roof plan and the solar roofing accessory parts and determines a utilization prediction for each candidate layout. Based on each utilization prediction, the processor determines a particular roof layout having selected solar roofing accessory parts, and generates a solar roof design, including a list of materials, for the particular roof layout.

Abstract: Methods and systems for generating a universal computer model for assessing a risk in an electronic transaction based on one or more risk assessment models are presented. The one or more risk assessment models may be incompatible with each other. Different portions of a risk assessment models may be extracted from the risk assessment models. A node structure is generated for each risk assessment model based on the portions extracted from a corresponding risk assessment model. The node structures generated based on the risk assessment models are merged to produce a merged node structure. The universal computer model is generated based on the merged node structure.

Abstract: Described are computer implemented techniques to select a single surface of a computer aided design (CAD) as a surface that shares a boundary with a void space that will be discretized, produce a virtual geometry item that is positioned within or about the void region to define the volume to be discretization and propagate a mesh within the defined volume by discretizing the CAD generated geometry by a discretization factor to find a first valid seed point within the CAD generated geometry that satisfies all virtual geometries taken together.

Abstract: A computer implemented method for illumination planning is provided that includes providing a floorplan having at least one lighting space; and assigning functions to the at least one lighting space. The lighting space and functions assigned to the lighting space of the floorplan are matched to a historical lighting schema. A lighting layout is extracted from the historical lighting schema and matched to the lighting space. A light package is extracted from the historical lighting schema and matched to the lighting space. A calculation of lighting performance for the lighting layout and the light package that has been matched to the lighting space is conducted to determine whether the lighting performance meets a lighting standard or whether the lighting performance does not meet the lighting standard. The computer implemented method further includes producing a conclusion for the lighting scenario for suitability to the floorplan and functions.

Abstract: Methods, apparatus, systems and articles of manufacture are disclosed to improve boundary excursion detection. An example apparatus to improve boundary excursion detection includes a metadata extractor to parse a first control stream to extract embedded metadata, a metadata label resolver to classify a boundary term of the extracted embedded metadata, a candidate stream selector to identify candidate second control streams that include a boundary term that matches the classified boundary term of the first control stream, and a boundary vector calculator to improve boundary excursion detection by calculating a boundary vector factor based on respective ones of the candidate second control streams that include the classified boundary term.

Abstract: Techniques for predicting a landing zone of a wellbore include identifying a first subsurface geological model of a first subterranean layer located under a terranean surface that includes an upper boundary depth of the first subterranean layer and a lower boundary depth of the first subterranean layer; identifying a second subsurface geological model of a second subterranean layer deeper than the first subterranean layer that is independent of the first subsurface geological model and includes an upper boundary depth of the second subterranean layer; correlating a predicted landing zone for a plurality of wellbores using the first and second subsurface geological models that is based on a location of a horizontal portion of each wellbore; and generating data that comprises a representation of the correlated plurality of wellbores for presentation on a graphical user interface (GUI).

Abstract: Ultra-high accuracy elevation and pressure telemetry devices are used to develop an autonomous, self-calibrating hydraulic piping network computer simulation model. Virtual pressure reducing valve (PRV) model elements force a local downstream calibration of the model using the pressure telemetry data, overcoming the potential ill conditioned state when simulating wide ranging, real world operational conditions. This technique also creates a smaller solution set for calibration optimization algorithms such as machine learning. Additional benefits of this technique include the ability to ignore complex facilities such as pump stations, water storage tanks, and control valves enabling a more rapid development of the real-time water piping network computer simulation model.

Abstract: Methods and systems are provided for generating an interactive simulation representing one or more assets based on one or more asset records. Based on information from asset records stored at a database system of a cloud-based computing system, an asset simulator module, executed at a cloud-based computing system, can generate one or more simulated representations of the assets. A simulator application executed at the cloud-based computing system can augment the simulated representations of the assets with (at least) additional information from the asset records stored in the database system, and generate a user interface that presents an interactive simulation of the assets. The user interface can include the simulated representations of the assets with the additional information from the asset records stored in the database system.

Abstract: Implementations described and claimed herein provide systems and methods for developing a reservoir. In one implementation, a static model of the reservoir is received. The static model has one or more clusters of rock types. A reservoir graph is generated from the static model. The reservoir graph represents each of the one or more clusters as a vertex. A graph connectivity of the reservoir graph is defined through a nodal connectivity of neighboring vertices. Pressure values are propagated across three-dimensional space of the reservoir graph using the connectivity. A dynamic model of the reservoir is generated using the pressure values and fluid saturation values.