Abstract: The subject matter of this specification can be embodied in, among other things, a method for treating a geologic formation that includes providing a hydraulic fracture model, providing a first value representative of a volume of kerogen breaker in a fracturing fluid, determining a discrete fracture network (DFN) based on the hydraulic fracture model and the first value, determining a geomechanical model based on the DFN and a reservoir model based on the DFN, determining a hydrocarbon production volume based on the geomechanical model and the reservoir model, adjusting the first value based on the hydrocarbon production volume, and adjusting a volume of kerogen breaker in the fracturing fluid to a hydrocarbon reservoir based on the adjusted first value.

Abstract: Disclosed is a method for evaluating computational fluid dynamic simulation results. The method includes: performing at least two baseline runs of a simulated area or volume containing a first vehicle body shape using a set of initial conditions, performing a change run using a second vehicle body using the set of initial conditions, creating a noise map based on differences between the second baseline run and the first baseline run, creating a change map based on differences between the change run and a selected baseline run, and comparing the change map to the noise map.

Abstract: A method can include receiving realizations of a model of a reservoir that includes at least one well where the realizations represent uncertainty in a multidimensional space; selecting a portion of the realizations in a reduced dimensional space to preserve an amount of the uncertainty; optimizing an objective function based at least in part on the selected portion of the realizations; outputting parameter values for the optimized objective function; and generating at least a portion of a field operations plan based at least in part on at least a portion of the parameter values.

Abstract: One embodiment of the present application sets forth a method for simulating an audio output of a three-dimensional object that includes a resonant cavity. The method includes receiving an input mesh of a three-dimensional shape and a hole configuration. The input mesh has an outer surface and an internal cavity, and the hole configuration includes one or more holes. The method further includes adding the one or more holes to the three-dimensional shape based on the hole configuration to generate a modified three-dimensional shape having a resonant cavity. The resonant cavity includes the one or more holes and the internal cavity. The method further includes determining an air pressure coefficient matrix for the resonant cavity. The method further includes computing a minimum non-zero eigenvalue for the air pressure coefficient matrix. The method further includes determining an output resonant frequency for the resonant cavity based on the minimum non-zero eigenvalue.

Abstract: Techniques for modeling subterranean characteristics by combining physical and numerical simulations using limited amounts of subsurface full diameter core samples via orthogonal experimentation schemes. Systems and methods applying synchronous fitting and prediction of physical simulation and numerical simulation to obtain the equivalent permeability of fracture cells in numerical simulation, to provide a basis for assigning a value to the equivalent fracture cell permeability during numerical simulation. According to the specific subterranean reservoir characteristics, the water invasion orthogonal experiments are completed by combining physical simulation with numerical simulation to analyze the main factors of water invasion in reservoirs.

Abstract: The present invention provides a process for making a flow conditioning device that transforms an input flow into a desired output flow. The process includes the steps of inputting into a computer program a set of design constraints representative of the input flow and the output flow. The computer program generates a design representative of a flow-conditioning device that transforms the input flow into the output flow. The process then provides the output design to an additive manufacturing or other suitable production system adapted to form a solid representation of the flow-conditioning device.

Abstract: Set differences between an as-designed and an as-manufactured model are computed. Discrepancies between the as-designed model and the as-manufactured model are determined based under-deposition and over-deposition features of the set differences. Based on the discrepancies, an input to a manufacturing instrument is changed to reduce topological differences between the as-manufactured model and the as-designed model.

Abstract: In some examples, one or more computing devices on a network may receive, from a client computing device, one or more inputs for configuring a simulation, the simulation including at least a first simulator and a second simulator. The one or more computing devices may allocate computing resources including at least a first virtual machine for executing at least one of the first simulator or the second simulator. The one or more computing devices may configure a first simulation controller executable on the first virtual machine for controlling execution of the at least one of the first simulator or the second simulator. The first simulation controller may initiate execution of at least one of the first simulator or the second simulator as part of execution of the co-simulation. In some examples, a result of the co-simulation may be sent to the client computing device.

Abstract: A system and method for estimating execution time of an application with Spark™ platform in a production environment. The application on Spark™ platform is executed as a sequence of Spark jobs. Each Spark job is executed as a directed acyclic graph (DAG) consisting of stages. Each stage has multiple executors running in parallel and the each executor has set of concurrent tasks. Each executor spawns multiple threads, one for each task. All jobs in the same executor share the same JVM memory. The execution time for each Spark job is predicted as summation of the estimated execution time of all its stages. The execution time constitutes scheduler delay, serialization time, de-serialization time, and JVM overheads. The JVM time estimation depends on type of computation hardware system and number of threads.

Abstract: A computer system receives multiple datapoints of a geomechanical property of a hydrocarbon reservoir modeled by a three-dimensional (3D) grid. Each datapoint corresponds to a respective grid cell of the 3D grid. Each grid cell of the 3D grid is represented by 3D coordinates. For each grid cell of the 3D grid, the computer system generates a data component of the geomechanical property based on the 3D coordinates of the grid cell. The computer system adds the data component to a datapoint corresponding to the grid cell to provide an augmented set of datapoints. The computer system transforms the augmented set of datapoints into a Gaussian distribution using Gaussian approximation. The computer system simulates the geomechanical property of the hydrocarbon reservoir based on the Gaussian distribution using sequential Gaussian simulation.

Abstract: A method and system for optimizing structural parameters of a physical device is described. The method includes receiving an initial description of the physical device that describes structural parameters of the physical device within a simulated environment. The method further includes performing an operational simulation of the physical device in response to an excitation source, performing an adjoint simulation by backpropagating a placeholder metric through a simulated environment to determine a loss gradient, updating the loss gradient based, at least in part, on a loss metric determined from the operational simulation. Additionally, the method further comprises computing a structural gradient corresponding to an influence of changes in the structural parameters on the loss metric and generating a revised description of the physical device by updating the structural parameters based on the structural gradient to reduce the loss metric.

Abstract: A method of forming at least one Micro-Electro-Mechanical System (MEMS) includes patterning a wiring layer to form at least one fixed plate and forming a sacrificial material on the wiring layer. The method further includes forming an insulator layer of one or more films over the at least one fixed plate and exposed portions of an underlying substrate to prevent formation of a reaction product between the wiring layer and a sacrificial material. The method further includes forming at least one MEMS beam that is moveable over the at least one fixed plate. The method further includes venting or stripping of the sacrificial material to form at least a first cavity.

Abstract: The claimed invention describes a method of preparing an installation of a 3-dimensionally extending false ceiling or wall. The claimed method includes calculating format, position and orientation for each individual flat tile in the suspended ceiling or wall, associating each individual flat tile with a unique tile identity, producing the individual flat tiles according to the calculated format, providing respective flat tile with the tile identity of respective tile, and providing a representation of the 3-dimensionally extending suspended ceiling or wall including an association of the position of respective flat tile with respective tile identity.

Abstract: A three-dimensional model generating method selecting a predetermined plane element defining a three-dimensional model element using measurement data, which includes measurement point group data obtained by measuring a measured object, a type of a plane element, and geometric values of the plane element; obtaining a condition required for generating a three-dimensional model element; generating the three-dimensional model element using the selected plane element and the obtained condition; and generating the three-dimensional model of the measured object using one or a plurality of three-dimensional model elements. A calculator displays a three-dimensional image corresponding to the measured object as well as a list of at least the structural elements which, of the plane elements included in the measurement data, configure the three-dimensional image.

Abstract: A substrate processing apparatus includes: a placing table having a placement surface and provided with a heater in each divided region obtained by dividing the placement surface; a calculation unit that calculates a target temperature of the heater in each divided region in which a critical dimension at a predetermined measurement point satisfies a predetermined condition, using a prediction model that predicts the critical dimension of the measurement point by using a temperature of the heater in each divided region as a parameter and taking into consideration an influence of a temperature of a heater in a divided region other than a divided region including the measurement point in accordance with a distance between the measurement point and the other divided region; and a heater controller that controls the heater in each divided region to reach the target temperature when the substrate processing is performed on the substrate.

Abstract: A simulation system obtains multiple random number vectors and a parameter vector and calculates realized values of the behavior of a stochastic system corresponding to each obtained random number vector. Based on each obtained random number vector, on the obtained parameter vector, and on a weight function, the system calculates the weight of each obtained random number vector regarding each of the parameters in the obtained parameter vector, and calculates an evaluation value of the behavior of the stochastic system corresponding to each obtained random number vector. Based on the calculated behavior evaluation value corresponding to each obtained random number vector and on the weight of each obtained random number vector regarding the parameter selected from the obtained parameter vector, the system calculates the sensitivity of an expected value for the behavior evaluation value of the stochastic system with regard to the selected parameter.

Abstract: Structural health monitoring (SHM) is essential but can be expensive to perform. In an embodiment, a method includes sensing vibrations at a plurality of locations of a structure by a plurality of time-synchronized sensors. The method further includes determining a first set of dependencies of all sensors of the time-synchronized sensors at a first sample time to any sensors of a second sample time, and determining a second set of dependencies of all sensors of the time-synchronized sensors at the second sample time to any sensors of a third sample time. The second sample time is later than the first sample time, and the third sample time is later than the second sample time. The method then determines whether the structure has changed if the first set of dependencies is different from the second set of dependencies. Therefore, automated SHM can ensure safety at a lower cost to building owners.

Abstract: Embodiments of the present invention are directed to a computer-implemented method of simulating forward traveling voltages in a simulated circuit. The method includes inserting a traveling wave probe, via a processor, at an observation point of a simulated transmission line. The processor applies a first signal at an input of the traveling wave probe, and evaluates an output of the traveling wave probe. The processor next determines an instantaneous wave forward voltage and an instantaneous wave backward voltage at the traveling wave probe, and displays the instantaneous wave forward voltage and the instantaneous wave backward voltage via an output device.

Abstract: In some aspects, the present invention comprises a system and method for optimizing the control scheme used for drilling operations based on the complex and large data sets available in realtime during operation of a wellsite and based on existing model data available at the wellsite for past similar drilling operations. Such optimizations typically require downtime to quantify how the realtime values will factor into the control model, but the present invention allows for such optimization in realtime in a closed-loop system that will reduce the non-productive time associated with reservoir operations.

Abstract: A computer-implemented search and poll method can iteratively solve a multi-fidelity optimization problem including an objective function and any constraints. A search step of the method includes constructing and optimizing surrogates of the objective function and any constraints to identify a new set of trial points, and running lower fidelity simulations in ascending order to reduce a number of trial points in the new set. The search step further includes evaluating the reduced number of trial points with the objective function and any constraints using a high fidelity simulation.