Abstract: A method for recording data relating to the performance of an oil and gas flow network uses statistical data to represent raw data in a compact form. Categories are assigned to time intervals in the data.

Abstract: Methods for simulation of hydrocarbon systems having a sharply varying viscosity gradient include receiving, by a computer system, Neutron Magnetic Resonance (NMR) logs for hydrocarbon wells in an oilfield. The computer system identifies viscosity regions of hydrocarbons present within the hydrocarbon wells based on the NMR logs. The computer system determines equation of state (EOS) parameters based on compositional analysis of pressure-volume-temperature (PVT) samples obtained from the hydrocarbon wells. The computer system generates a three-dimensional (3D) model of the oilfield, using as inputs, the viscosity regions, the EOS parameters, and a fluid composition gradient with respect to a depth within each viscosity region. The computer system determines a landing depth from the surface of the Earth for operation of peripheral water injectors based on simulating the 3D viscosity model.

Abstract: A method for performing a modified two point flux approximation scheme is disclosed. The method includes: obtaining a first pressure value for a first neighbor cell and a second pressure value for a second neighbor cell, where the first neighbor cell has a first value of a reservoir property and the second neighbor cell as a second value of the reservoir property; determining a first weight using the first pressure value and a second weight using the second pressure value; calculating a third value of the reservoir property as a weighted average of the first value and the second value; and applying the third value to the first neighbor cell.

Abstract: A method for producing a well includes receiving production information associated with wells within a field; deriving a field specific model from the production information; receiving production information associated with the well; projecting production changes associated with installing artificial lift at the well at a projected date, the projecting using a production analysis engine applied to the field specific model, the projecting including determining a set of artificial lift parameters; and installing the artificial lift at the well in accordance with the artificial lift parameters.

Abstract: A method for correcting data sensed by a sensor includes: acquiring the data sensed by the sensor; establishing a surface equation based on an acquired data to performing surface fitting; and correcting the data sensed by the sensor with the surface equation. The method further includes: evaluating the acquired data sensed by the sensor to update fitting parameters of the surface equation so as to obtain an updated surface equation; and correcting the data sensed by the sensor with the updated surface equation. Parameter data sensed by the sensor can be corrected in real time, which reduces the influence of environmental factors on the parameter data sensed by the sensor and improves the accuracy of the data sensed by the sensor.

Abstract: An automated robot design pipeline facilitates the overall process of designing robots that perform various desired behaviors. The disclosed pipeline includes four stages. In the first stage, a generative engine samples a design space to generate a large number of robot designs. In the second stage, a metric engine generates behavioral metrics indicating a degree to which each robot design performs the desired behaviors. In the third stage, a mapping engine generates a behavior predictor that can predict the behavioral metrics for any given robot design. In the fourth stage, a design engine generates a graphical user interface (GUI) that guides the user in performing behavior-driven design of a robot. One advantage of the disclosed approach is that the user need not have specialized skills in either graphic design or programming to generate designs for robots that perform specific behaviors or express various emotions.

Abstract: A non-transitory computer-readable storage medium storing a program that causes a computer to execute a process, the process includes acquiring, based on a compression model that is acquired by learning processing on a set of data generated by using a combination of values of variables and that compresses dimensions of data, a point corresponding to data generated by using a predetermined combination of the values of variables within a compressed space; acquiring, based on the point corresponding to the data generated by using the predetermined combination, a target point within the space corresponding to a target value of a characteristic changing in accordance with the values of variables, and a regression model within the space for a predetermined variable of variables, a change amount of the predetermined variable; and changing the value of the predetermined variable included in the predetermined combination by using the change amount.

Abstract: A method for performing a fracturing operation in a subterranean formation of a field. The method includes obtaining, during the fracturing operation, distributed optical fiber data from a downhole sensor of a treatment well in the subterranean formation, and determining, based on the distributed optical fiber data, an active perforation location from a number of pre-determined perforation locations of the treatment well. The active perforation location is a location of fluid flow into the subterranean formation during the fracturing operation. The method further includes generating, based at least on the active perforation location, a fracturing model for the subterranean formation, and performing, based on the fracturing model, modeling of the fracturing operation to generate a modeling result.

Abstract: Systems and methods for generating candidate designs and selecting a fracturing position design scheme for a horizontal well to be fractured based on fracturing potential are disclosed. A fracturing potential value of each designed fracturing point or each fracturing point is calculated using obtained values of various indexes of various depth points. A first corresponding relation between fracture conductivity value and the fracturing potential value and a second corresponding relation between a fracture half length and the fracturing potential value is determined. Corresponding first simulated production data for each candidate design is generated, and the candidate design with a highest predicted net present value is selected as the fracturing position design scheme which provides higher rationality and practicability to better guide development.

Abstract: A control circuit provides a user with an opportunity to create a custom virtual three-dimensional kitchen component selected from a categorical list of available customizable kitchen components. Upon detecting the user's assertion of the opportunity, the control circuit automatically provides the user with an interactive form that includes a plurality of selectable features for the selected customizable kitchen component. Upon receiving user entries regarding the plurality of selectable features, the control circuit automatically defines a customized virtual three-dimensional kitchen component that comports with the user entries.

Abstract: A method for improved prediction and enhancement of hydrocarbon recovery from ultra-tight/unconventional reservoirs for both the primary production and any subsequent solvent huff‘n’puff periods based on facilitating the diffusion process may include steps of defining one or more initial properties of a reservoir and integrating characterization data of the reservoir; defining a wellbore trajectory for each of at least one well and one or more parameters associated with a completion/reservoir stimulation design; specifying operating conditions for a current development cycle; performing diffusion-based dynamic fracture/reservoir simulation for calculating hydrocarbon recovery and efficiency of a hydrocarbon process; and; determining whether to commence or continue enhanced oil recovery (EOR) or enhanced gas recovery (EGR) cycles.

Abstract: Systems and methods are disclosed for generating subsurface feature prediction probability distributions from a subsurface feature as a function of position in a subsurface volume of interest. For example, a computer-implemented method may include: obtaining subsurface data and well data, generating subsurface feature values, generating subsurface feature realizations, generating subsurface feature realization uncertainty values, generating subsurface parameter values, generating subsurface parameter realizations, generating subsurface feature prediction probability distributions, generating a first representation of likelihoods of the subsurface feature values, and displaying the first representation.

Abstract: Systems and methods of the present disclosure are directed to reservoir simulation modeling using upon rock compaction tables derived from physical pore compressibility tests. The illustrative methods transform rock mechanics-based pore compressibility tests into compliant rock compaction tables for reservoir simulators using Dimensionless Stress to Pore Pressure Conversion, to thereby transfer geomechanical changes due to confining stress into expressions of geomechanical changes due to pore pressure.

Abstract: Systems and methods include a method providing automated production optimization for smart well completions using real-time nodal analysis including comingled production calibration. Real-time well rates and flowing bottom-hole pressure data are collected at various choke settings for multiple flow conditions for each lateral of a multilateral well during regular field optimization procedures. Surface and downhole pressures and production metrics for each of the laterals are recorded for one lateral at a time during production of the well. Flowing parameters of individual laterals are estimated using the multilateral well production model. An optimum pressure drop across each downhole valve is determined using the multilateral well production model. Each lateral of the multilateral well is calibrated during the commingled production at various choke valves settings.

Abstract: A method for calculating binding free energy, where the method includes a plurality of steps each including adding a distance restraint potential between a binding calculation target molecule and a target molecule, wherein the method is a method for calculating binding free energy between the binding calculation target molecule and the target molecule using a computer, and wherein anchor points of the binding calculation target molecule in the plurality of the steps are identical anchor points, and anchor points of the target molecule in the plurality of the steps are different anchor points.

Abstract: The present disclosure relates to a method and non-transitory machine-readable storage medium encoded with instructions for using prediction models for predicting values, the medium comprising instructions for receiving a plurality of entry identifiers, instructions for receiving a value for each of the plurality of entry identifiers, instructions for determining whether the value for each of the plurality of entry identifiers has changed and a magnitude of the change, instructions for building a model for predicting a time-to-value change, instructions for building a model for predicting a future magnitude of change, instructions for performing a simulation using the model for predicting the time-to-value change and the model for predicting the future magnitude of change and instructions for outputting a confidence interval.

Abstract: Various examples of systems and methods are provided for Lyapunov control for uncertain systems. In one example, a system includes a process plant and a robust Lyapunov controller configured to control an input of the process plant. The robust Lyapunov controller includes an inner closed loop Lyapunov controller and an outer closed loop error stabilizer. In another example, a method includes monitoring a system output of a process plant; generating an estimated system control input based upon a defined output reference; generating a system control input using the estimated system control input and a compensation term; and adjusting the process plant based upon the system control input to force the system output to track the defined output reference. An inner closed loop Lyapunov controller can generate the estimated system control input and an outer closed loop error stabilizer can generate the system control input.

Abstract: A method of predicting hydraulic fracturing and associated risks of hydraulic fracturing operation is proposed. The methods use the mathematical simulation which allow to predict the geometry of a hydraulic fracture and location of fluids, propping agents (proppant), fibers and other materials therein. Reconsidering the fracturing design allows to remedy the possible risks (overflush, screen-out, bridging, gel contamination, temperature effects).

Abstract: One or more methods for validating reservoir simulation models. At least one of the methods include determining one or more time segments of fluid recovery of a reservoir by analyzing a production history of the reservoir; running a simulation model, for the first time segment, to generate one or more drainage volumes; generating, for a first time segment, a plurality of grid regions along one or more no-flow boundaries of the one or more drainage volumes; generating, for the first time segment, a plurality of sector models corresponding to the plurality of grid regions; and performing, for the first time segment, a history matching process corresponding to a time phase simultaneously on each of the plurality of sector models to generate, for each of the sector models, a history matching output.

Abstract: Fluid flow dynamics modeling methods and system are provided. In some embodiments, such methods include providing an initial fluid system model including a plurality of nodes, each node characterized by one or more node fluid system parameters; and a plurality of edges between two of the plurality of nodes, each edge characterized by one or more edge fluid system parameters; and using the initial fluid system model, determining an updated fluid system model using a history-matching process.