Abstract: A fracture density model (FDM) system may predict the fragmentation size distribution for a blast. The FDM system may generate a model comprising a plurality of volume elements. The FDM system may determine pre-existing joint fractures in the volume elements. The FDM system may also simulate blasts and track fractures, for each of the volume elements, caused by the shock wave of the blast and a shock wave reflected off of a free face of the model. The FDM system may combine the pre-existing joint fractures and the blast induced fractures to determine a predicted fragmentation size for the distinct elements.

Abstract: High frequency oscillation (HFO) comes in at least two types. Type 1 HFO is lower frequency and often associated with a motor. Type 2 HFO is higher frequency and often independent of a motor. To mitigate torsional strain due to Type 2 HFO, an HFO mitigation mechanism can be placed based on an oscillation node location to move the oscillation node to a new position which may be uphole of a tool or the BHA, or to a less vulnerable location. Mitigation can also include placing an energy damping component based on the oscillation node. This may be at a high displacement location distanced from the oscillation node, or may include placement at the oscillation node with an additional HFO mitigation mechanism to move the oscillation node away from the installation location. Oscillations may be damped by using any combination of flow restrictions, fluid bypasses, or axially compliant elements.

Abstract: A method for augmenting a three-dimensional model of a component in a computer-aided design (CAD) includes receiving a three-dimensional CAD model of the component. The three-dimensional CAD model includes a plurality of component surfaces. The method further includes generating a first three-dimensional surface representation of a first component surface of the plurality of component surfaces and indexing the first three-dimensional surface representation as a first function-attributed surface (FAS) element by assigning the first three-dimensional surface representation a unique first FAS ID which associates the first FAS element with the component.

Abstract: System and methods of petrophysical modeling are disclosed. Measurements of formation parameters along a planned path of a wellbore are received during a current stage of a downhole operation. A correlation coefficient between each of the formation parameters and at least one target parameter for the reservoir formation is determined based on the received measurements. Input parameters are selected from among the formation parameters for a symbolic regression model, based on the correlation coefficient calculated for each formation parameter. A symbolic regression model is trained to generate a target petrophysical model, based on the selected input parameters and the corresponding measurements received from the downhole tool. One or more properties of the formation are estimated for a subsequent stage of the downhole operation, based on the generated petrophysical model. The subsequent stage is performed along the wellbore, based on the one or more estimated properties of the reservoir formation.

Abstract: Embodiments of the present disclosure provide for improved real-world environment simulation and processing thereof. Some embodiments enable real-time simulating of a real-world environment, and/or visualization of portion(s) of the corresponding simulated environment. Some embodiments enable accurate testing of alteration(s) to a real-world environment utilizing simulated environment(s) to determine the effects of such alteration(s), and apply alteration(s) that are determined from said simulations to improve operation of the real-world environment. Such alteration(s) may be applied automatically to enable a self-optimizing environment based on such simulation(s).

Abstract: A digital twin service of a provider network allows a user to build a digital twin to simulate behavior and changes of a physical system at a client's site. The digital twin service may receive, from the user, a definition for each model to be used to simulate each component of the physical system. For example, the user may indicate various properties of the model, behaviors of the model, and relationships between the model and one or more other models (e.g., chaining via inputs/outputs). The digital twin service may then build and deploy the models to a runtime environment. The runtime environment executes the models and receives telemetry data from the physical system. The user may modify the simulation (e.g., provide new telemetry data or modify/add new models). The simulation generates one or more results based on the modification and sends the results to a destination.

Abstract: A quality control method and apparatus generate maps for cycle skipping analysis of velocity models that may be the input or the output of a full waveform inversion. A comparison of observed data and corresponding synthetic data generated using a candidate velocity model yields feature images of shots. The feature images are then grouped in clusters using unsupervised machine learning. Deviation of the feature images from an ideal non-cycle skipped image allows to measure the quality of the candidate velocity model.

Abstract: Provided is a decision-making method and system for a suspension operation of a marine riser system based on a digital twin, which belongs to the technical field of marine oil and gas development. The decision-making method includes: acquiring original monitoring data by the sensor group to establish a physical entity structure model; acquiring real-time monitoring data to establish a digital twin model of the physical entity structure; and introducing navigation path and speed of the drilling platform, and a configuration and suspension mode of the riser system, combined with the digital twin model of the marine riser coupling system and a limit performance parameter, providing a suspension operation decision-making model of the riser system, and making a real-time accurate suspension operation decision based on a multi-objective optimization algorithm, so as to guarantee a safe and efficient suspension operation of the riser system.

Abstract: Set differences between an as-designed and an as-manufactured model are computed. Topological deviations 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: A method and system generate a building operational performance analysis output. A synthetic data set is generated and includes a set of 3D building conceptual mass geometries. The generating includes identifying geometry types, dividing the geometry types into categories, and algorithmically generating the mass geometries using a separate workflow for each category using generative design. Analytical models associated with each of the mass geometries are generated. Simulation results are generated for each of the analytical models. A surrogate model is trained based on a set of features extracted from the simulation results using machine learning (ML). The ML iteratively determines the set of features based on a measured accuracy of the surrogate model. Geometry input is received and processed through the surrogate model to generate the building operational performance analysis output which is then used to inform a designer of an approximate Energy Use Intensity of the geometry input.

Abstract: Using processes and methods described herein, a digital twin of a physical space can train itself using sensors and other information available from the building. In some embodiments, a system to be controlled comprises a controller that is connected to sensors. This controller also has a thermodynamic model of the system to be controlled within memory associated with the controller. The thermodynamic model has neurons that represent distinct pieces of a controlled space, such as a piece of equipment or a thermodynamically coherent section of a building, such as a window. The neurons represent these distinct pieces of the controlled space using parameter values and equations that model physical behavior of state with reference to the distinct piece of the controlled state. A machine learning process refines the thermodynamic model by modifying the parameter values of the neurons, using sensor data gathered from the system to be controlled as ground truth to be matched by behavior of the thermodynamic model.

Abstract: A method and system for finding and efficiently evaluating and selecting a wellbore path that accounts for placement rules and the presence of existing wells. A topological representation of the connected paths is created and managed. The topological representation may be generated as a pre-computed database of space information that represents the locations of existing wells and accounts for restrictions such as anti-collision and the parameters, including geological and drilling equipment parameters. Using such a representation, the design of a wellbore path may be completed quickly and more efficiently. The topology may represent all connected space for a section of the subsurface. This topological representation may be used to evaluate all possible paths from the starting point (surface location, tie-in point for a sidetrack, tie-in point for replanning, etc.) to the target and enable selecting the path that meets the conditions and is optimized for the existing constraints.

Abstract: A method for production prediction using tracers in an oilfield system is disclosed. The method involves reading, by a computer processor, a set of subsurface field properties characterizing a field system, generating, by the computer processor, a base field model, creating, by the computer processor, a plurality of static models of the field system, running, by the computer processor, a suite of dynamic simulations to produce a plurality of tracer compositions, creating, by the computer processor, a filling envelope function based on the plurality of tracer compositions, calculating, by the computer processor, a production prediction for a measured tracer composition based on the filling envelope function, and executing, by the computer processor, a field operation based on the production prediction, wherein the field operation results in hydrocarbon being extracted from a trap reservoir.

Abstract: A method of modelling system behaviour of a physical system, the method including, in one or more electronic processing devices obtaining quantified system data measured for the physical system, the quantified system data being at least partially indicative of the system behaviour for at least a time period, forming at least one population of model units, each model unit including model parameters and at least part of a model, the model parameters being at least partially based on the quantified system data, each model including one or more mathematical equations for modelling system behaviour, for each model unit calculating at least one solution trajectory for at least part of the at least one time period; determining a fitness value based at least in part on the at least one solution trajectory; and, selecting a combination of model units using the fitness values of each model unit, the combination of model units representing a collective model that models the system behaviour.

Abstract: Provided is a virtual drilling modeling method and system based on outcrop fine characterization. The method includes: selecting multiple typical sedimentary stratigraphic point positions respectively, and using an outcrop fine observation technology to characterize distribution characteristics of lithology, occurrence, thickness, and an extension range of each outcrop layer at the typical sedimentary stratigraphic point positions; establishing each vertical sequence stratigraphic histogram according to the distribution characteristics, the vertical sequence stratigraphic histogram being used to reflect vertical changes of actual stratigraphy; constructing a modeling data set according to each of the vertical sequence stratigraphic histograms and preset sample drilling core columns; and based on machine learning and interpolation operation methods, constructing a three-dimensional geological model according to the modeling data set.

Abstract: A wind vector prediction method includes receiving, by an analysis device, a weather video; inputting, by the analysis device, a first base video of a first time point for at least one water vapor absorption channel among a plurality of water vapor absorption channels included in the weather video and a reference video of a time point different from the first time point into a first learning network, and predicting, by the analysis device, a wind vector of a second time point after the first time point for the at least one water vapor absorption channel based on information output from the first learning network.

Abstract: A computer-implemented method for testing an, in particular, safety-relevant, technical system, in particular including software and/or hardware components. The method includes the following steps: providing a model of the technical system; providing a set of requirements to the technical system; converting a particular requirement into at least one formal expression of at least one formal logic, the formal logic being selected from a logic set, which includes at least two formal logics, based on properties of the requirements; checking whether a particular requirement has been met by the model, the checking taking place by carrying out at least one program solver for a particular formal expression.

Abstract: Systems and methods are disclosed for generating elastic property data as a function of position and time. Exemplary implementations may include obtaining a first initial elastic model and a first set of elastic parameters, obtaining training subsurface data and a first training elastic property dataset, generating a first conditioned elastic model, and storing the first conditioned elastic model.

Abstract: A surgical planning system for use in surgical procedures to repair an anatomy of interest includes a preplanning system to generate a virtual surgical plan and a mixed reality system that includes a visualization device wearable by a user to view the virtual surgical plan projected in a real environment. The virtual surgical plan includes a 3D virtual model of the anatomy of interest. When wearing the visualization device, the user can align the 3D virtual model with the real anatomy of interest, thereby achieving a registration between details of the virtual surgical plan and the real anatomy of interest. The registration enables a surgeon to implement the virtual surgical plan on the real anatomy of interest without the use of tracking markers.

Abstract: A method of constructing toy models based on an image of a subject present in a still or moving image, comprising: receiving said still or moving image; identifying said subject from the still or moving image; generating an instruction module and required building element list to construct a toy model of said subject; comparing the required building element list against an inventory of building elements held by a user; wherein if the inventory of building elements held by the user is insufficient to contain the required building element list, providing a list of missing building elements to the user; if the inventory of building elements held by the user is sufficient to contain the required building element list, producing the instruction module and the required building element list to the registered user to create the model of the subject.