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

A method for generating a three-dimensional geomechanical model of a subsurface volume is provided. The geomechanical model may be used to predict changes in geomechanical stress in the grid (such as a three-dimensional unstructured grid), which may be caused by extraction from or injection into the reservoir. The geomechanical model may be generated by solving, in combination, the finite element method at the vertices of a respective cell in the grid for momentum balance and the finite volume method at the center of the respective cell for mass balance. In this way, one or both of rock displacement or pore flow may be solved using the geomechanical model.

Using a reservoir simulator, a reservoir model state is obtained. The reservoir model state is used to trace streamlines to obtain streamline trajectories and detect fluid fronts along the streamlines. Using the streamline trajectories, the streamlines are connected to wells. The streamlines are grouped for multiple granularity levels, into groups to obtain a grouping hierarchy. Through the granularity levels of the grouping hierarchy, fluid front time of flights are determined for the groups, and target flowrates assigned to completion devices based on the fluid front time of flights to obtain target flow rates. A completion design is presented that incorporates the target flowrates.

A cold plate apparatus that has an outlet plenum leading to an outlet opening includes an outlet transition that connects the outlet opening to the outlet plenum. The outlet transition defines a smoothly curving flow path from a direction along a long dimension of the outlet plenum, which is parallel to a plane defined by the outlet opening, to a direction along a centerline of the outlet opening, which is at an angle from the plane defined by the outlet opening. The outlet transition provides a smooth variation of cross-sectional area from the outlet plenum to the outlet opening.

The present disclosure describes a computer-implemented method that includes: receiving a seismic dataset of a surveyed subsurface of a reservoir, the seismic dataset comprising observed pressure and production data of the reservoir as well as a set of geological and geo-mechanical parameters representing physical features of the surveyed subsurface; generating multiple realizations of a discrete fracture network (DFN) based on a subset of the set of geological and geo-mechanical parameters; selecting, from the multiple realizations, one or more realizations based on a parameter with a value under a 10% quantile of a full range of likely values; performing a forward simulation for the reservoir based on the selected one or more realizations and the observed pressure and production data; determining that a misfit of the forward simulation is below a threshold based on evaluating an objective function; and producing a model of the reservoir based on the forward simulation.

A method for determining predicted failure rates of drug injection devices includes receiving a set of parameters specifying physical properties of a syringe, a liquid drug, and a drug injection device configured to deliver the liquid drug to a patient via the syringe, the drug injection device including a mechanism that drives a plunger rod toward a plunger of the syringe encased in a syringe carrier. The method also includes receiving failure rate data specifying a measured rate of failure of the drug injection device in response to various peak pressures within the syringe, applying the set of parameters to a kinematic model of the drug injection device to determine a predicted peak pressure within the syringe, determining a probability of failure of the drug injection device using the failure rate data and predicted peak pressure, and providing an indication of the determined probability of failure to an output device.

A table including a record can be displayed within a graphical user interface display space. The record can include an attribute. Data characterizing a user input can be received. The user input can specify an input parameter of an entry associated with the attribute of the record. A predefined syntactical rule set can be used to parse the user input. The parsing can include determining one or more simulation attributes associated with executing a simulation. The one or more simulation attributes can be provided. The result of the executed simulation can be processed. The result of the executed simulation can be displayed within a graphical user interface display space. Related apparatus, systems, techniques, and articles are also described.

A method may include obtaining, from various sensors, acquired sensor data regarding various multiphase flows in a multiphase flow meter that are sampled at a predetermined sampling frequency. The acquired sensor data may describe various transient signals that correspond to various gas droplets. The method may further include generating, based on the acquired sensor data, a flow model for the multiphase flow meter. The method may further include updating the flow model to produce a first updated flow model using simulated flow data. The method may further include updating the first updated flow model to produce a second updated flow model using simulated sensor data. The second updated flow model may be used to determine one or more flow rates within a multiphase flow.

In general, in one aspect, embodiments relate to a method that includes providing a pre-trained Physics-Informed Neural Networks (PINNs), providing one or more inputs to the one or more pre-trained PINNs, generating a time-varying predicted displacement using the one or more PINNs, comparing the time-varying predicted displacement with a target displacement, adjusting at least one of the one or more inputs and repeating the step of generating until the time-varying predicted displacement converges to the target displacement, and performing a cementing operation based at least in part on the one or more adjusted inputs.

Provide is a friction pair device comprising a friction pair stationary member, a plurality of micro channels, a Tesla valve structure, and a stress application device. The friction pair stationary member includes a friction pair static surface, which friction pair static surface is provided with a dynamic pressure groove. The dynamic pressure groove includes a dynamic pressure groove bottom. A surface of the dynamic pressure groove bottom is provided with micro-nano scale gaps. A super-lubricant is injected into the gaps to form a super-lubricant layer, allowing liquid medium molecules of a liquid-film to move freely along the dynamic pressure groove bottom. A slip velocity of the liquid medium molecules approaches a moving velocity of a friction pair dynamic surface, a slip length of the liquid medium molecules approaches positive infinity, and a super slip surface is formed on the dynamic pressure groove bottom.