Abstract: Methods and systems for evaluating hydrocarbon in heterogeneous formations are disclosed. The use of three-dimensional simulation of the heterogeneous and porous structure at the nanometer scale of formation facilitates more accurate evaluation of the hydrocarbon reserve and fluid behavior.

Abstract: A method of construction of a feedforward neural network includes a step of initialization of a neural network according to an initial topology, and at least one topological optimization phase, of which each phase includes: an additive phase including a modification of the network topology by adding at least one node and/or a connection link between the input of a node of a layer and the output of a node of any one of the preceding layers, and/or a subtractive phase including a modification of the network topology by removing at least one node and/or a connection link between two layers. Each topology modification includes the selection of a topology modification among several candidate modifications, based on an estimation of the variation in the network error between the previous topology and each topology modified according to a candidate modification.

Abstract: A difference analysis method for 3D CAD models based on key-point matching. According to the method, a 3D CAD model is firstly transformed into a key-point representation, then a graph representation and a graph matching method are introduced to establish a pre-matching of vertices between the two 3D CAD models, and rigid transformation parameters between the two 3D CAD models are obtained through a mismatch elimination method; and subsequently, a matching relationship of key-points is established by checking their distance after rigid transformation to obtain a key-point matching sequence for hierarchical comparison, so as to identify the differences between vertices, edges, faces and solid models, thereby quickly and accurately identifying the difference between the 3D CAD models.

Abstract: A method for constructing a multifunctional antenna structure configured to generate a plurality of radiation patterns includes determining a desired source field associated with the plurality of radiation patterns, and receiving feed locations for a waveguide to an antenna aperture surface. The method may further include placing a metasurface resonator at a first resonator location that exhibits a minimum error relative to the desired source field and satisfies a maximum error threshold relative to the desired source field. The metasurface resonator may be determined based on the feed locations and a plurality of degrees of freedom for the first resonator location. The method may also include discarding a second resonator location in response to determining that no metasurface resonator at the second resonator location satisfies the maximum error threshold. The plurality of degrees of freedom may include metasurface resonator geometries that exhibit different polarizabilities defined in a candidate library.

Abstract: Systems and methods for multi-material mesh generation from fill-fraction voxel model data are discussed. Voxel representations of model data are used to generate robust and accurate multi-material meshes. More particularly, a mesh generation pipeline in a virtual fabrication environment is described that robustly generates high-quality triangle surface and tetrahedral volume meshes from multi-material fill-fraction voxel data. Multi-material topology is accurately captured while preserving characteristic feature edges of the model.

Abstract: A system and method that can include training a deep neural network using time series data that represents functions of a non-linear Kalman filter that represents a dynamic system of equipment and environment and models a pre-defined operational procedure as a temporal sequence. The system and method can also include receiving operation data from the equipment responsive to operation in the environment and outputting an actual operation as an actual sequence of operational actions by the deep neural network. The system and method can additionally include performing an operation-level comparison to evaluate the temporal sequence against the actual sequence using a distance function in a latent space of the deep neural network and outputting a score function that quantifies the distance function in the latent space. The system and method can further include controlling an electronic component to execute an electronic operation based on the score function.

Abstract: A method for modeling agent awareness in an agent based model, the method including the steps of tracking a ratio of indicators for each agent and varying the ratio of indicators for an agent upon the occurrence of a triggering event for that agent. The method further includes using the ratio as a factor to model the agent's awareness.

Abstract: A method, apparatus and system is provided for assessing risk for well completion, comprising: obtaining, using an input interface, a Below Rotary Table hours and a plurality of well-field parameters for one or more planned runs, determining, using at least one processor, one or more non-productive time values that correspond to the one or more planned runs based upon the well-field parameters, developing, using at least one processor, a non-productive time distribution and a Below Rotary Table distribution via one or more Monte Carlo trials; and outputting, using a graphic display, a risk transfer model results based on a total BRT hours from the Below Rotary Table and the non-productive time distribution produced from the one or more Monte Carlo trials.

Abstract: A method for optimizing component type arrangement in which multiple component types are optimally disposed on multiple installation positions when an automatic feeder device which automatically loads the component storage tape, a manual feeder device which does not automatically load the component storage tape, and a reel holding device are installed into the installation positions on a common pallet, the method includes a step of determining a portion of the multiple installation positions as a fixed position and fixing the determined automatic feeder device to the fixed position; and an optimizing step of performing a simulation optimally disposing the multiple component types on the multiple installation positions under a condition that the manual feeder device can be moved to an arbitrary installation position other than the fixed position without moving the automatic feeder device from the fixed position.

Abstract: A method may include providing one or more inputs to a hybrid data generator, wherein one of the one or more inputs is based at least in part on a wellsite location, wherein the hybrid data generator comprises a large language model, and wherein the large language model is based at least in part on a machine learning algorithm. The method may further include utilizing an information handling system to generate a drilling program based at least in part on the one or more inputs and the hybrid data generator. The method may further include performing at least a portion of a drilling operation based at least in part on the drilling program and collecting at least one measurement from at least one sensor during the drilling operation.

Abstract: A method includes: accessing first storage configured to store a first weight coefficient group which is at least some of a plurality of weight coefficients indicating a magnitude of interaction between a plurality of state variables in an evaluation function representing energy of an Ising model; accessing a plurality of second storages each of the plurality of second storage being configured to store a second weight coefficient group related to a state variable having a value of 1 in any of a plurality of state variable groups respectively including the plurality of state variables among the plurality of weight coefficients; outputting, for each of the plurality of state variable groups, a search result obtained by performing searching processing configured to perform processing of searching for an optimum solution by repeatedly performing a first update process with a first constraint or a second update process with a second constraint.

Abstract: Electromagnetic transient simulation method applicable to a field programmable gate array (FPGA), which integrates topological parameters of a circuit to be simulated into two matrix parameters in an initialization stage thereof; and voltage and current information at each simulation moment can be obtained only through simple matrix multiplication operation in a main part of the simulation cycle thereof. The method avoids complex initialization operation in the field programmable logic array; meanwhile, the flow of the main part of the simulation cycle in the FPGA is maximally compressed, and the efficiency of electromagnetic transient simulation based on the FPGA is greatly improved.

Abstract: A method for simulating a technical system. Time series are obtained with the aid of a simulation model of the system, variable values being assigned to at least one epistemic parameter of the simulation model, at least one measurement series is obtained by corresponding measurements on the system, for each value of the epistemic parameter, a real-value error measure of the time series obtained for this value with respect to the measurement series and a distribution function of the error measure are calculated, and for the simulation, that value is used, for which the distribution function has the smallest distance to a Heaviside function.

Abstract: [Object] To realize an improvement in design accuracy and a reduction in design time in a process of matching an equivalent cross-sectional area of a design shape of a supersonic aircraft to a target equivalent cross-sectional area in a sonic boom reduction method based on an equivalent cross-sectional area.

Abstract: The present disclosure relates to a method and system for determining transportation safety of pulverized coal. The method includes: acquiring coal particle data during transportation of pulverized coal, where the coal particle data is size data of a coal particle accumulation; determining a particle model of the coal particle accumulation during the transportation of the pulverized coal according to the size data; establishing a constitutive theoretical model to describe all flow regimes of a coal granular medium; numerically discretizing the constitutive theoretical model by using a numerical method to obtain discrete equations; calculating a movement process of the coal granular medium according to the discrete equations and the particle model of the coal granular medium to obtain a calculation result; plotting the calculation result by using post-processing software Tecplot to obtain relevant information of a coal particle flow; and determining whether the pulverized coal transportation process is safe.

Abstract: The disclosure discloses a system and method for predicting a vibration of a bicycle when being rode on a road. The method first uses a pressure film to obtain a contact interface between a road and a bicycle tire, and then, based on the contact interface, a unit bearing area (Bu) and an average stress peak distance (Spa) are calculated. Next, taking the above parameters as variables, a predicted vibration value (Pv) is calculated based on calculation formulas provided by the present disclosure. Finally, the predicted vibration value Pv is compared with a comfort-level threshold perceived by a cyclist of the present disclosure, which can quickly and effectively grade and predict a comfort level when riding a bicycle on a section of an asphalt road.

Abstract: There is a need for more effective and efficient seasonally-adjusted predictive data analysis solutions. This need can be addressed by, for example, solutions for performing seasonally-adjusted predictive data analysis that use autoregressive integrated moving average (ARIMA) machine learning models.

Abstract: Systems and methods for facilitating virtual operation of a virtual vehicle within a virtual environment are disclosed. According to aspects, a computing device may access a data model indicative of real-life operation of a real-life vehicle by a real-life operator and, based on the data model, generate a set of virtual vehicle movements that are reflective of a performance of the real-life operation of the real-life vehicle by the real-life operator. The computing device may display, in a user interface, the virtual vehicle undertaking the set of virtual vehicle movements such that the real-life operator may review the virtual movements and potentially be motivated to improve his/her real-life vehicle operation.

Abstract: Methods, systems, and computer readable medium include receiving, from a user device, a request for a digital component, receiving a data set of user-provided information regarding a particular product design, generating, based on the data set, a visual representation mapping design factors to potential product design geometry, segmenting the visual representation based on the design factor values, selecting a segment that contains less than a threshold amount of data points, selecting a digital component, dynamically altering, based on the selected segment, a presentation of the digital component that solicits information from the user about the segment, distributing, for presentation at the user device, the dynamically-altered digital component, obtaining, from the user device through a feedback mechanism, feedback information regarding the segment that contains less than the threshold amount of data points, and modifying a design factor of the particular product design based, at least in part, on the feedb

Abstract: A method for monitoring waterfront movement in a subsurface formation involves performing forward modeling of at least one deep electromagnetic survey of the waterfront movement, and determining locations for installing an electrically insulating spacer between well liners to form an on-demand electromagnetic source electrode. Based on the forward modeling, repeat survey time intervals are predicted. The method involves, during well completion, installing the electrically insulating spacer between the well liners in a reservoir to form at least one on-demand electromagnetic source electrode, and installing the electrically insulating spacer between the plurality of well liners in a reservoir to form an on-demand electromagnetic receiver electrode.