Abstract: Methods and an alarming system for long-term carbon dioxide sequestration in a geologic reservoir are described. The geologic reservoir may be a water filled sandstone reservoir or a carbonate reservoir. A reservoir model is constructed to show the effects of varying injection pressures, the number of injection wells, the arrangement of injection wells, the boundary conditions and sizes of the reservoir on caprock uplift, fracture formation and fracture reactivation. The alarming system generates an alarm when caprock uplift that surpasses a threshold is detected. The injection pressures and the number of injection wells operating may be varied in response to the alarm.

Abstract: Examples described herein relate to apparatuses and methods for predicting strength of a coupon of composite material. A first critical damage event and strain and stress distributions of the coupon is determined by performing a finite element analysis (FEA) of a finite element model of the coupon. The first critical damage event is associated with the strain and stress distributions. The strain and stress distributions are received as inputs to at least one surrogate model. A final load corresponding to a final failure of the coupon is determined using the at least one surrogate model.

Abstract: An electromagnetic measurement tool for making multi-frequency, full tensor, complex, electromagnetic measurements includes a triaxial transmitter and a triaxial receiver deployed on a tubular member. An electronic module is configured to obtain electromagnetic measurements at four or more distinct frequencies. The measurement tool may be used for various applications including obtaining a resistivity of sand layers in an alternating shale-sand formation; computing a dielectric permittivity, a conductivity anisotropy, and/or a permittivity anisotropy of a formation sample; and/or identifying formation mineralization including discriminating between pyrite and graphite inclusions and/or computing weight percent graphite and/or pyrite in the formation sample.

Abstract: Provided in this disclosure are systems and methods for selection of petrophysical techniques to model reservoirs. Reservoir properties were calculated using two techniques—a deterministic technique and an optimizing petrophysics technique, and simulation models were developed. The technique that yielded a simulation model that aligned more accurately and consistently with the reservoir data was selected to further develop the reservoir model.

Abstract: Techniques and systems for solving a set of constraints are described. Binary decision diagram (BDD) learning can be applied to a proper subset of the first set of constraints to obtain a set of bit-level invariants. The set of bit-level invariants can then be used for solving the set of constraints. The set of bit-level invariants can include (1) forbidden invariants, (2) conditional invariants, and/or (3) bit-level invariants that are determined by applying BDD learning to a conjunction of constraints and range expressions. If multiple implied constraints have a common right-hand-side (RHS) expression, then BDD learning can be applied to the common RHS expression only once.

Abstract: The present disclosure relates to a method of calculating the radiogenic heat production (RHP) of a geophysical structure, wherein there is provided at least one geophysical parameter of the geophysical structure, the method including inverting the at least one geophysical parameter to estimate the RHP of the geophysical structure.

Abstract: The embodiments of the invention provide an intelligent prediction method and apparatus for reservoir sensitivity, belonging to the technical field of reservoir sensitivity prediction. The method includes: acquiring a reservoir sensitivity influence factor item related to a reservoir sensitivity result to be predicted and numerical values of corresponding reservoir sensitivity influence factors; determining a corresponding type of database according to the reservoir sensitivity influence factor item; determining whether numerical values of reservoir sensitivity influence factors corresponding to core parameters in the numerical values of the reservoir sensitivity influence factors include a first upper boundary value or a first lower boundary value; and using, according to whether the first upper boundary value or the first lower boundary value is included, different intelligent sensitivity prediction models to calculate the reservoir sensitivity result to be predicted.

Abstract: Embodiments provide techniques for estimating seasonal indices for multiple periods. Some embodiments can receive a signal comprising a plurality of measures sampled over a span of time from an environment in which one or more processes are being executed. Some embodiments may then extract a seasonal effector and a de-seasonalized component from the signal. Next, some embodiments can apply one or more spline functions to the seasonal effector to generate a first model. Some embodiments may then apply a linear regression technique to the de-seasonalized component to generate a second model. Some embodiments may then initiate actions associated with the code. Some embodiments may then generate a forecast of the signal based on the first model and the second model. Next, some embodiments may initiate, based at least in part on the forecast, one or more actions associated with the environment.

Abstract: A domain specific language, or Scenario Description Language (SDL), can be used for quickly enumerating scenarios in a simulation for testing and validating interaction of an object (e.g., an autonomous vehicle) within an environment. Scenarios in a simulation are defined using one or more primitives. Primitives are used to define objects to be instantiated (such as body size, position, orientation, velocities, etc.) and/or actions to be performed by the objects in the simulation (such as wait for a period of time, goal positions, follow a particular object, etc.). The SDL enables simple creation of multiple scenarios by combining primitives combinatorially and in some examples, limiting which scenarios are created to those that correspond to combinations that provide meaningful information. Additionally, the SDL allows for instantiation to be agnostic of map features so that a particular scenario can be instantiated automatically over all possible positions within a map.

Abstract: A solar irradiance intensity estimation apparatus has an estimation model generation unit that generates estimation models of solar radiation intensities at a plurality of observation points based on observed cloud state data and solar radiation intensities observed at the plurality of observation points, an estimation model interpolation unit that generates an estimation model of a solar irradiance intensity at a target point based on the estimation models of solar radiation intensities at the plurality of observation points, and a solar irradiance intensity estimation unit that estimates a solar irradiance intensity at the target point based on a reflection intensity at the target point obtained from the cloud state data and the estimation model of a solar irradiance intensity at the target point.

Abstract: A simulation circuit, that simulates characteristics of transistors is produced to include: an isolation body resistor representing resistance of a channel isolation portion of a transistor; a main body resistor representing resistance of main channel portion of the transistor; an isolation transistor connected to the isolation body resistor; and a body-contact transistor connected to the main body resistor. Simulated data is generated by supplying test inputs to the simulation circuit, while selectively activating either the isolation transistor or the body-contact transistor. Test data is generated by supplying the test inputs to the transistors, and measuring output of the transistors. The simulated data is compared to the test data to identify data differences. The design of the transistors is changed to reduce the data differences. The generation of test data, comparing, and design changes are repeated, until the data differences are within a threshold.

Abstract: A method for accelerating an explicit finite element analysis (FEA) simulation of a modeled system or process includes performing an initial iteration of the FEA simulation according to a baseline time interval via an FEA computing network, and calculating a criteria ratio of a predetermined set of scaling criteria for the modeled system or process. The method includes determining a time-scaling factor using the criteria ratio via the FEA computing network as a function of the criteria ratio, and then applying the time-scaling factor to the baseline time interval to generate a scaled time interval. The scaled time interval accelerates simulation time of the FEA simulation. The method includes performing a subsequent iteration of the explicit FEA simulation at the scaled time interval using the FEA computing network. The process continues for subsequent iterations, with the time-scaling factor adapting with each iteration.

Abstract: A method for monitoring movement of a fluid interface in a composite reservoir includes receiving data related to a composite reservoir. The composite reservoir includes an uninvaded oil zone, a water-invaded transition zone, and an aquifer. A model is generated using the data. The model is updated in response to movement of a fluid interface between the water-invaded transition zone and the uninvaded oil zone in the composite reservoir is identified. The model is also updated in response to movement of water from the aquifer toward the wellbore is also identified, before the fluid interface reaches a wellbore formed in the composite reservoir. A remedial action is determined to take in the wellbore in response to the movement of the fluid interface, the movement of the water, or both.

Abstract: An exemplary method for qualifying a gas turbine engine component includes creating a first set of substantially identical gas turbine engine components via a uniform manufacturing procedure, determining a set of as-manufactured parameters of each gas turbine engine component in the first set of substantially identical gas turbine engine components, determining a variance model of the first set of substantially identical gas turbine engine components, and determining a plurality of predicted response models based at least in part on the variance model, each of the predicted response models corresponding to one of an engine type and an engine assembly, and each of the predicted response models being configured to determine a predicted response of including a gas turbine engine component from the first set of substantially identical gas turbine engine components in the corresponding one of the engine type and the engine assembly.

Abstract: A method for efficiently injecting sources and retrieving receiver wavefields using finite difference models for wavefield simulations on a GPU, when the source and receiver are not on numerical grid points, and therefore arbitrarily located. To accomplish that, the method employs GPU texture memory to increase the memory read bandwidth, and then positions at arbitrary or simulated locations the sources in a finite difference grid, as well as extends them over a newly generated number of grid points.

Abstract: Examples of techniques for model-based parameter and state estimation for directional drilling in a wellbore operation are provided. In one example implementation according to aspects of the present disclosure, a computer-implemented method includes receiving, by a processing device, measurement data from the wellbore operation. The method further includes performing, by the processing device, an online estimation of at least one of a parameter to generate an estimated parameter and a state to generate an estimated state, the online estimation based at least in part on the measurement data. The method further includes generating, by the processing device, a control input to control an aspect in the wellbore operation based at least in part on the at least one of the estimated parameter and the estimated state. The method further includes executing a control action based on the control input to control the aspect of the wellbore operation.

Abstract: Embodiments of the present invention provide a position-based dynamics approach for simulating objects using a set of points and constraints, applied as equations that restrict the relative motion of bodies. Forces are applied to the points to move them, and the constraints ensure that the points will not move in a way that is inconsistent with rules of the simulation. The present invention improves upon existing PBD approaches by using regularized constraints that directly correspond to well-defined energy potentials, and which can advantageously be solved independent of time step and iteration count.

Abstract: Techniques for controlling a hydrocarbon production system include determining a first estimate of a prior FVC detectability probability map based on a plurality of reservoir data that includes four-dimensional (4D) seismic data of a subterranean reservoir; determining a second estimate of the prior FVC detectability probability map under seismic data noise conditions; determining an updated detectable FVC probability based on the 4D seismic data; determining an updated FVC probability based on the updated detectable FVC probability and the first and second estimates of the prior FVC detectability probability maps; and generating a control instruction for at least one of a fluid injection system or a hydrocarbon production assembly based on the updated FVC probability.

Abstract: Embodiments disclosed herein provide systems and methods optimizing geometries. In one embodiment, a computer-implemented method is provided. The method includes receiving, at a programmed computing device, a geometry comprising a plurality of edges and selecting a set of edges from the plurality of edges based on an intersecting location in which two or more the edges intersect. For each edge of the set of edges, a density is determined that corresponds to the intersecting location for the set of edges. The method further includes determining a target density related to the intersecting location in view of an aggregate of the density associated with respective edges of the set of edges. The target density indicates a gradient of a falloff for the intersecting location.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for predictive machining for forging distortions. In one aspect, a method includes obtaining a mesh model of a machined part to be machined from a forged part and residual stress field data for the forged part, where the mesh model includes multiple nodes corresponding to at least one boundary of the machined part, updating the mesh model by applying the residual stress field data to the multiple nodes corresponding to the at least one boundary to change positions of the multiple nodes in the mesh model, repeating the updating until an amount of change to each of the positions of the multiple nodes in the mesh model satisfies a correction criteria, and providing the compensated mesh model for use in machining the machined part from the forged part.