Abstract: A system for creating a 4D guided history matched model may include a network of saturation sensors and a model processing hub. The saturation sensors may identify water production rates. The model processing hub may be in communication with the network of saturation sensors and may include a reservoir simulation model and a processor. The processor of the model processing hub may build a 4D saturation model, compare the reservoir simulation model and the 4D saturation model to generate a saturation ?, calculate updated permeability distribution data, and update the reservoir simulation model with the updated permeability distribution data to create the 4D guided history matched model. A method of creating a 4D guided history matched model may include comparing a reservoir simulation model and a 4D saturation model, calculating updated permeability distribution data, and updating the reservoir simulation model to create the 4D guided history matched model.

Abstract: A computer device for characterising execution time by a processor, comprising a memory (8) which receives benchmark program data, sets of characterisation configuration data and sets of execution case data, and a constructor (4) which determines, for each set of execution case data, a set of worst-case configuration data of the processor and a set of initialisation values based on a set of execution case data, and determining a reference execution time by executing the benchmark program according to the set of execution case data using the processor configured with the set of configuration data with the set of initialisation values, all the reference execution times forming a set of reference execution times.

Abstract: Methods and systems for determining reservoir permeability of a subsurface formation and fracture surface area. The method includes creating a first hydraulic fracture and a second hydraulic fracture in a horizontal well, generating a pressure pulse at the first hydraulic fracture, monitoring, using a first pressure gauge the pressure at the first hydraulic fracture, monitoring, using a second pressure gauge, the pressure pulse at the second hydraulic fracture, repeating this test at different locations along the wellbore to evaluate heterogeneity in permeability and variations in fracture surface areas, analyzing pressure and rate data to determine either permeability or fracture surface area by using: analytical/numerical simulation models, or physics-based proxy models inputting pressure front/peak arrival time or peak pressure.

Abstract: Techniques for determining an error model based on vehicle data and ground truth data are discussed herein. To determine whether a complex system (which may be not capable of being inspected) is able to operate safely, various operating regimes (scenarios) can be identified based on operating data. To provide safe operation of such a system, an error model can be determined that can provide a probability associated with perception data and a vehicle can determine a trajectory based on the probability of an error associated with the perception data.

Abstract: An example method comprises receiving historical sensor data from sensors of components of wind turbines, training a set of models to predict faults for each component using the historical sensor data, each model of a set having different observation time windows and lead time windows, evaluating each model of a set using standardized metrics, comparing evaluations of each model of a set to select a model with preferred lead time and accuracy, receive current sensor data from the sensors of the components, apply the selected model(s) to the current sensor data to generate a component failure prediction, compare the component failure prediction to a threshold, and generate an alert and report based on the comparison to the threshold.

Abstract: A molecular dynamics system employing a spliced soft-core potential (the “MD/SSCP”) facilitates studying the arrangement of particles in an enclosure and/or near an interface. In some embodiments, the MD/SSCP initializes a three-dimensional representation containing the enclosure and the particles in a first arrangement. The MD/SSCP conducts a first simulation to transition the representation to a second arrangement, during which the particles are allowed to move through a wall of the enclosure while the SSCP is unengaged. The MD/SSCP conducts a second simulation to transition the representation to a third arrangement, during which it becomes more difficult for the particles to move through the wall of the enclosure while the SSCP is gradually engaged. The MD/SSCP conducts a third simulation to transition the representation to a fourth arrangement of the particles, during which it becomes almost impossible for the particles to move through the wall of the enclosure.

Abstract: An aircraft assembly system as described herein includes an input module, a database, and a processing unit. The input module is adapted for inputting customer-specific data and, in particular, parameters which relate to the expected time of delivery, the number of personnel working in the aircraft assembly system or an apparatus of the system which cannot be used. By applying description logics, the processing unit generates a manufacturing plan in accordance with a set of rules and the input parameters. In order to improve the manufacturing plan, input parameters may be changed by the system in an iterative process. This may provide for an efficient use of resources available.

Abstract: A system for determining an optimal hardness of a patient interface device includes a fit score determination unit structured to receive a 3-D model of the patient interface device and a 3-D model of a patient's face and to determine a fit score between the patient interface device and the patient's face based on the 3-D model of the patient interface device and the 3-D model of the patient's face, and a hardness determination unit structured to determine a hardness value of the patient interface device based on the determined fit score.

Abstract: Aspects of the present disclosure relate to earth modeling using machine learning. A method includes receiving detected data at a first depth point along a wellbore, providing at least a first subset of the detected data as first input values to a machine learning model, and receiving first output values from the machine learning model based on the first input values. The method includes receiving additional detected data at a second depth point along the wellbore, providing at least a second subset of the additional detected data as second input values to the machine learning model, and receiving second output values from the machine learning model based on the second input values. The method includes combining the first output values at the first depth point and the second output values at the second depth point to generate an updated model of the wellbore, the updated model comprising an earth model.

Abstract: The invention provides a method for computational fluid dynamics and apparatuses making enable an efficient implementation and use of an enhanced jet-effect, either the Coanda-jet-effect, the hydrophobic jet-effect, or the waving-jet-effect, triggered by specifically shaped corpuses and tunnels. The method is based on the approaches of the kinetic theory of matter providing generalized equations of fluid motion and is generalized and translated into terms of electromagnetism. The method is applicable for slow-flowing as well as fast-flowing real compressible-extendable generalized fluids and enables optimal design of convergent-divergent nozzles, providing for the most efficient jet-thrust. The method can be applied to airfoil shape optimization for bodies flying separately and in a multi-stage cascaded sequence. The method enables apparatuses for electricity harvesting from the fluid heat-energy, providing a positive net-efficiency.

Abstract: A method for providing a real-time-capable simulation for control unit development, wherein the real-time-capable simulation simulates a control unit or an environment of a control unit or a combination of a control unit and an environment of the control unit. The real-time-capable simulation has a co-simulation of a real-time-capable sub-simulation and a non-real-time-capable sub-simulation that interacts with the real-time-capable sub-simulation, wherein the real-time-capable sub-simulation and the non-real-time-capable sub-simulation are designed for communication of simulation data. The real-time-capable sub-simulation has a first simulation time corresponding to real time and the non-real-time-capable sub-simulation has a virtual, second simulation time that is coupled to the first simulation time and that matches the first simulation time at the start of the real-time-capable simulation.

Abstract: A method for 3-D block modelling of a resource boundary in a post-blast muckpile to optimize destination delineation for resource control is provided. An in-situ pre-blast model of an ore deposit to be mined, movement data, blast design and explosive loading information, and post-blast topographic data are input in to the memory of a general purpose computer. Using the pre-blast block model, movement data, blast design and explosive loading information, and post-blast topographic data a three-dimensional vector field is generated. The method uses the three-dimensional vector field to move a plurality of centroids of the in-situ block model to populate a three-dimensional post-blast location. Then method optimizes the populated three dimensional post-blast location to determine a plurality of sets of optimal dig boundaries.

Abstract: A system, method and a computing architecture, for well path planning that can be used in directional drilling and provides for optimal path planning in directional drilling operations. One method includes receiving information about the planned drilling path, target-zone location and planned path changes, and real-time drill-bit location measurements. The method estimates the current state of the geometric location of the drill-bit in the earth during directional drilling operations, and the characteristics of the bottom-hole assembly before and after receiving drill bit location measurements. Such a method preferably determines a time optimal path, such as a Dubins path between the current state of the drill-bit location and the user-provided target-zone.

Abstract: A computer-implemented method for civil engineering including obtaining a mesh representing a terrain and a polyline on the mesh, the method further includes computing a contributor of the polyline. The computing of the contributor includes modifying the mesh by determining, based on the polyline, a trench below the polyline. The computing of the contributor further includes computing a watershed segmentation of the terrain based on the modified mesh. The computing of the contributor further includes, based on the computed watershed segmentation, identifying, on the modified mesh, a basin comprising the trench. The contributor corresponds to the identified basin.

Abstract: A method can include training a deep neural network to generate a trained deep neural network where the trained deep neural network represents functions of a nonlinear Kalman filter that represents a dynamic system of equipment and environment via an internal state vector of the dynamic system; generating a base internal state vector, that corresponds to a pre-defined operational procedure, using the trained deep neural network; receiving operation data from the equipment responsive to operation in the environment; generating an internal state vector using the operation data and the trained deep neural network; and comparing at least the internal state vector to at least the base internal state vector.

Abstract: Aspects of the technology described herein comprise a surrogate model for a chemical production process. A surrogate model is a machine learned model that uses a collection of inputs and outputs from a simulation of the chemical production process and/or actual production data as training data. Once trained, the surrogate model can estimate an output of a chemical production process given an input to the process. Surrogate models are not directly constrained by physical conditions in a plant. This can cause them to suggest optimized outputs that the not possible to produce in the real world. It is a significant challenge to train a surrogate model to only produce outputs that are possible. The technology described herein improves upon previous surrogate models by constraining the output of the surrogate model to outputs that are possible in the real world.

Abstract: Systems and methods include a method for providing an integrated advanced visualization tool for geosteering underbalanced coiled tubing drilling (UBCTD) operations. Drilling operation data is received from different sources in real time during a drilling operation. The drilling operation data includes geological formation information recorded during the drilling operation, micropalaeontological test results of the drilling operation, drilling parameters being used during the drilling operation, cumulative productivity index calculations, and reservoir pressure information of reservoirs encountered during the drilling operation. The drilling operation data is analyzed to correlate elements of the drilling operation data by time and cumulative depth. A graph is generated in real time that includes multiple plots correlated as a function of cumulative depth over time.

Abstract: Techniques for determining a safety metric associated with a vehicle controller are discussed herein. To determine whether a complex system (which may be uninspectable) is able to operate safely, various operating regimes (scenarios) can be identified based on operating data and associated with a scenario parameter to be adjusted. To validate safe operation of such a system, a scenario may be identified for inspection. Error metrics of a subsystem of the system can be quantified. The error metrics, in addition to stochastic errors of other systems/subsystems can be introduced to the scenario. The scenario parameter may also be perturbed. Any multitude of such perturbations can be instantiated in a simulation to test, for example, a vehicle controller. A safety metric associated with the vehicle controller can be determined based on the simulation, as well as causes for any failures.

Abstract: A smart render design tool includes: (a) a designer side plug-in enabling a designer to generate credentials for a client and associate the credentials with a model for the client, add one or more camera views to the model, select one or more surfaces in the one or more camera views to add in the model, specify one or more materials for each surface of the one or more surfaces of the model, and publish the model including the specified materials for the one or more surfaces of the model; and (b) a client side portal associated with the credentials and the model enabling the client to access the published model using the generated credentials, select desired materials from among the materials specified by the designer for each surface of the published model, and save the desired materials selections of the client for review by the designer using a synchronization function of the designer side plug-in.

Abstract: Systems and methods may support build direction-based partitioning for construction of a physical object through additive manufacturing. In some implementations, a system may access a surface mesh representative of a 3D object and an initial build direction for construction of the object using additive manufacturing. The system may partition the surface mesh into an initial buildable segment and a non-buildable segment based on the initial build direction. The system may iteratively determine subsequent build directions and partition off subsequent buildable segments from the unbuildable segment until no portion of the non-buildable segment remains. The determined buildable segments and correlated build directions may be provided to a multi-axis 3D printer for construction of the represented 3D object through additive manufacturing.