Abstract: Embodiments of forecasting hydrocarbon production are provided. One embodiment comprises transforming production data of a plurality of training wellbores and production data of at least one target wellbore such that the production data for all training wellbores and target wellbores are equivalent at the end of a first period of time; generating a transformed production forecast for each target wellbore at a target forecast time responsive to the transformed production data; and back transforming the transformed production forecast for each target wellbore to remove the equivalency. The back transformed production forecast for each target wellbore is the final production forecast for each target wellbore.

Abstract: In one embodiment, a method includes generating a simulated sensor based on performance features associated with a sensor. The method includes determining a placement indicator specifying a location and orientation of the simulated sensor on a vehicle in a virtual environment associated with the vehicle. The method includes simulating, based on the performance features associated with the sensor, behavior of one or more emissions originating from the simulated sensor in the virtual environment. For each emission, the simulating includes determining an interaction of the emission with one or more simulated objects in the virtual environment. The method includes providing a representation of a capability of the sensor based on the simulated behavior of the emissions.

Abstract: A machine learning method and a machine learning device are provided. The machine learning method includes: receiving an input signal and performing normalization on the input signal; transmitting the normalized input signal to a convolutional layer; and adding a sparse coding layer after the convolutional layer, wherein the sparse coding layer uses dictionary atoms to reconstruct signals on a projection of the normalized input signal passing through the convolutional layer, and the sparse coding layer receives a mini-batch input to refresh the dictionary atoms.

Abstract: A system and method are presented for optimizing choices of control parameters.

Abstract: A process for digitally developing a new fabric and for developing a new fabric based on a physical property of the fabric and rather than a fabric construction. The process comprises selecting a desired physical property of the new fabric and selecting a fabric type. The process also includes using a fabric construction calculator to develop fabric construction parameters for the fabric, wherein the fabric has the desired physical property selected. The desired physical property is a selected softness factor of the fabric.

Abstract: Embodiments determine positioning of a mannequin. One such embodiment begins by determining a frame of a grasping element of a mannequin represented by a computer-aided design (CAD) model and determining a frame of an object to be grasped, where is object is also represented by a CAD model. To continue, degrees of freedom of the mannequin are specified and limits on the specified degrees of freedom are set. In turn, using an inverse kinematic solver, positioning of the mannequin grasping the object is determined based upon: (i) the determined frame of the grasping element, (ii) the determined frame of the object, (iii) the specified degrees of freedom, and (iv) the set limits on the specified degrees of freedom.

Abstract: Geologic modeling methods and systems disclosed herein employ an improved simulation gridding technique that optimizes simulation efficiency by balancing the computational burdens associated with remeshing against the performance benefits of doing so. One method embodiment includes: (a) obtaining a geologic model representing a subsurface region as a mesh of cells, at least some of the cells in the mesh having one or more interfaces representing boundaries of subsurface structures including at least one fracture; (b) determining a fracture extension to the at least one fracture; (c) evaluating whether the fracture extension is collocated with, or is proximate to, an existing cell interface, and using the existing cell interface if appropriate or creating a new cell interface if not; and (d) outputting the updated version of the geologic model.

Abstract: A rock fabric classification for modeling subterranean formation includes receiving petrophysical properties from a core analysis of a core sample from a wellbore, receiving a core description of the core sample, the core description comprising sedimentological properties of the core sample, determining one or more groups of core samples with similar sedimentological properties and similar core descriptions, determining bounds for each of the one or more groups, providing the bounds and an identifier of each of the one or more groups, as input to a model for petrophysical rock typing or saturation modeling.

Abstract: Systems and methods allow for floor plan generation for device visualization and use. For example, image data may be utilized to segment a building from non-building elements in an image, and the outline of the building may be utilized to generate a floor plan of the building. A user interface may be generated to present the floor plan and allow for placement of representations of walls, doors, windows, and electronic devices within the floor plan. Placement of these elements may be performed in response to input from a user and/or may be performed automatically utilizing naming indicators, device-affinity data, historical usage data, signal-strength data, etc. Once placed, the device representations may be utilized to operate the devices and display related information, such as alerts.

Abstract: Systems and a method for simulating a flexible retraction cable during motion of an object to which the cable is attached. The method includes receiving information inputs, including a numerical model of the object, receiving cable information inputs and retraction system information inputs. A numerical model of the flexible cable is modeled by modelling only a part of the flexible cable located outside a retraction system as a sequence of control points distributed along a length of the part, wherein each of the control points is submitted to a force representing the interaction of the control point with its environment and wherein the number of control points is fixed. The method further includes storing the numerical model of the flexible cable in a memory and simulating a motion of the flexible cable that would occur during a movement of the object.

Abstract: Systems and methods for automatically generating a 3D model of a roof of a building are provided. In a described embodiment, the method includes receiving point cloud data comprising a plurality of data points corresponding to height measurements at a given location; processing the point cloud data to identify roof surfaces; generating a 3D model of the roof using the identified surfaces; receiving aerial imagery of the roof; registering the aerial imagery with the point cloud data; and refining the 3D model using the aerial imagery. A corresponding computing system and non-transitory computer readable medium for carrying out the methods are also provided.

Abstract: The disclosure discloses a method and device of analysis based on a model, and a computer readable storage medium. The method includes: training various pre-determined models based on a preset number of customer information samples; combining the various trained models into a compound model according to a pre-determined combining rule, and after customer information to be analyzed is received, inputting the customer information to be analyzed into the compound model to output an analysis result. According to the disclosure, by the use of the compound model combined by the various models for analysis and prediction, the advantages of different models can be combined. Compared with a single model for prediction, the compound model effectively improves the accuracy of a prediction result.

Abstract: This disclosure relates generally to system and method for optimization of industrial processes, for example a tundish process. Typically geometries for industrial processes are simulated in a numerical analysis model such as a CFD. In order to simulate a physical phenomenon (such as tundish process) numerically, the domain thereof is discretized in order to convert the differential equations to be solved in the domain into linear equations. The accuracy of a CFD solution is dependent on a mesh of the domain, which in turn depends on a geometry thereof. For setting up an optimization task, the disclosed method provides first a CFD friendly base geometry, so that a faulty geometry can be detected before forming the complete geometry.

Abstract: A system is controlled using particle filter executed to estimate weights of a set of particles based on fitting of the particles into a measurement model, wherein a particle includes a motion model of the system having an uncertainty modeled as a Gaussian process over possible motion models of the system and a state of the system determined with the uncertainty of the motion model of the particle, wherein a distribution of the Gaussian process of the motion model of one particle is different from a distribution of the Gaussian process of the motion model of another particle. Each execution of the particle filter updates the state of the particle according to a control input to the system and the motion model of the particle with the uncertainty and determines particle weights by fitting the state of the particle in the measurement model subject to measurement noise.

Abstract: A method of simulating a quadcopter includes testing a plurality of quadcopter components at a plurality of operating conditions to generate one or more lookup tables for characteristics of the quadcopter components. The lookup tables are stored for quadcopter component simulation in a quadcopter simulator. When a simulated input value for a simulated quadcopter component is received in the simulator lookup table, entries corresponding to the simulated input value are read from the lookup table and simulated quadcopter component output is generated. Simulated quadcopter output to a flight controller is generated according to the simulated quadcopter component output from one or more entries of one or more lookup tables.

Abstract: Systems and methods include a method providing automated production optimization for smart well completions using real-time nodal analysis including real-time modeling. Real-time well rates and flowing bottom-hole pressure data are collected by a multilateral well optimizing system at various choke settings for multiple flow conditions for each lateral of a multilateral well during regular field optimization procedures. Surface and downhole pressures and production metrics for each of the laterals are recorded for one lateral at a time. A multilateral well production model is calibrated using the surface and downhole pressures and the production metrics for each of the laterals. Flowing parameters of individual laterals are estimated using the multilateral well production model. An optimum pressure drop across each downhole valve is determined using the multilateral well production model.

Abstract: The present invention relates to a method of estimating the region of damage due to collapse in the wall of a well during the drilling operation, normally using drilling fluid, where said well can, for example, be intended either for the injection or else for the production of a gas or oil reservoir. Other uses can be found in mining and in civil engineering work. This method is characterized by a set of analytical steps that allow establishing, for example, optimal drilling parameters so as to allow the fastest possible drilling speed that is also safe enough to allow is charging the collapse material without jamming the drilling tool. This method likewise allows assessing both the width and depth of damage in the wall of the well.