Abstract: A secondary battery includes an electrode assembly, a tab, an electrolyte, and one or more adhesive components. Along a thickness direction of the electrode assembly, the electrode assembly includes first surface and second surface, where the first surface is a surface formed by length direction and width direction of the electrode assembly, and the adhesive component extends from the first surface to the second surface. A mass of the electrolyte is m g, a capacity of the secondary battery is C Ah, an electrolyte retention of the secondary battery is Q g/Ah, and an area of the one or more adhesive components is S mm2, Q=m/C, 80?S/Q?2500, and 0.6?Q?2.7.

Abstract: A secondary battery includes a positive electrode plate, a negative electrode plate, a separator and an electrolyte solution. The negative electrode plate includes a negative current collector, and a negative material layer disposed on at least one surface of the negative current collector. A single-sided area density of the negative material layer is D g/1540.25 mm2, 0.100?D?0.180. The electrolyte solution includes fluoroethylene carbonate, and based on a mass of the electrolyte solution, a mass percentage of the fluoroethylene carbonate is A1%, 4.2?A1?14.8; and 25?A1/D?100.

Abstract: A secondary battery includes a positive electrode plate and an electrolyte solution. The electrolyte solution includes a compound having sulfur-oxygen double bond and a nitrile compound. Based on a total mass of the electrolyte solution, a mass percentage of the compound having sulfur-oxygen double bond is A1 %, a mass percentage of the nitrile compound is A2%, 0.08?A1/A2?2.15; and a sum of the mass percentages of the compound having sulfur-oxygen double bond and the nitrile compound is A %, 3?A?15. The positive electrode plate includes a positive electrode material layer, a thickness of the positive electrode material layer is D ?m, and 0.08?A/D?0.42.

Abstract: System and methods for training neural network models for real-time flow simulations are provided. Input data is acquired. The input data includes values for a plurality of input parameters associated with a multiphase fluid flow. The multiphase fluid flow is simulated using a complex fluid dynamics (CFD) model, based on the acquired input data. The CFD model represents a three-dimensional (3D) domain for the simulation. An area of interest is selected within the 3D domain represented by the CFD model. A two-dimensional (2D) mesh of the selected area of interest is generated. The 2D mesh represents results of the simulation for the selected area of interest. A neural network is then trained based on the simulation results represented by the generated 2D mesh.

Abstract: Described is a paint brush that includes: a handle; a ferrule secured to the handle; and a brush head including a plurality of synthetic bristle filaments extending in a longitudinal direction from the ferrule. The brush head has a width dimension and a thickness dimension in a plane perpendicular to the longitudinal direction, with the width dimension being greater than the thickness dimension. Each filament has a fixed end secured at the ferrule and an opposite free end longitudinally distant from the ferrule. The free ends of at least a portion of the filaments collectively define a substantially chisel-shaped tip profile in a plane perpendicular to the width dimension such that an apex of the chisel-shaped tip extends across the width of the brush head. Every filament in the brush head is tapered over at least 60% the filament length.

Abstract: Gas bubble migration can be managed in liquids. In one example, a system can execute wellbore-simulation software to simulate changes in gas dissolution in a liquid over time. This may involve dividing the wellbore into segments spanning from the well surface to the downhole location, each segment spanning a respective depth increment between the well surface and the downhole location. Next, for each time, the system can determine a respective multiphase-flow regime associated with each segment of the plurality of segments based on a simulated pressure level, a simulated temperature, a simulated pipe eccentricity, and a simulated fluid velocity at the segment. The system can also determine how much of the gas is dissolved in the liquid at each segment based on the respective multiphase-flow regime at the segment. The system can display a graphical user interface representing the gas dissolution in the liquid over time.

Abstract: A system includes a processor. The processor estimates a pattern of a flow of a mixture of drilling fluid and cuttings in an annulus of a wellbore. The flow is estimated as a stationary bed flow, a dispersed flow, or a transitional flow relative to the stationary bed and dispersed flows. The processor estimates parameters based on the estimated pattern of the flow, and determines a plurality of dimensionless parameters including a first dimensionless parameter corresponding to an effect of turbulence on the flow and a second dimensionless parameter corresponding to an effect of gravity on the flow, based on the estimated parameters. The processor characterizes the pattern of the flow as the stationary bed flow, the dispersed flow, or the transitional flow, based on the dimensionless parameters, and models the flow based on the estimated pattern if it is determined that the characterized pattern matches the estimated pattern.

Abstract: An estimated gas leak flow rate can be determined using a teaching set of concentration profiles, a regression model implemented by a machine-learning subsystem, and a subset of attributes measured within an environment. The teaching set of concentration profiles can include gas flow rates associated with relevant attributes. The regression model can be transformed into a gas leak flow regression model via the machine-learning subsystem using the teaching set. The subset of attributes measured within the environment can be applied to the gas leak flow regression model to determine other attributes absent from the subset of attributes and an estimated gas flow rate for the environment. A gas leak attenuation action can be performed in response to the estimated gas flow rate.

Abstract: A method for sequestating carbon dioxide from flue gas by using a cement clinker. The products of this method can also be used to prepare microfiber-reinforced cement. The method of the present disclosure is capable of capturing and storing carbon dioxide in flue gas, such as cement kiln flue gas.

Abstract: An estimated gas leak flow rate can be determined using a teaching set of concentration profiles, a regression model implemented by a machine-learning subsystem, and a subset of attributes measured within an environment. The teaching set of concentration profiles can include gas flow rates associated with relevant attributes. The regression model can be transformed into a gas leak flow regression model via the machine-learning subsystem using the teaching set. The subset of attributes measured within the environment can be applied to the gas leak flow regression model to determine other attributes absent from the subset of attributes and an estimated gas flow rate for the environment. A gas leak attenuation action can be performed in response to the estimated gas flow rate.

Abstract: A method for interactions in a live broadcast room includes: in response to opening a question interaction function in a live broadcast room, displaying a question panel interface in a first display area of the live broadcast room, wherein the question panel interface comprises a display card for each piece of question information and each display card comprises an answer control and an end control; and in response to triggering the answer control, displaying the target display card on top of remaining display cards on the question panel interface, and replacing the answer control with the end control.

Abstract: A method and an apparatus for interactions in a live broadcast room are disclosed. The method may include: in response to an opening operation for a question interaction function in a live broadcast room: obtaining at least one piece of question information from a server and displaying the at least one piece of question information in a first display area of the live broadcast room, in which the at least one piece of question information is sent by at least one audience client to the server; obtaining an interaction parameter value corresponding to each piece of question information from the server; and adjusting a position of the question information in the first display area based on the interaction parameter value corresponding to each piece of question information.

Abstract: A method and an apparatus for interactions in a live broadcast room are disclosed. The method may include: in response to an opening operation for a question interaction function in a live broadcast room: obtaining at least one piece of question information from a server and displaying the at least one piece of question information in a first display area of the live broadcast room, in which the at least one piece of question information is sent by at least one audience client to the server; obtaining an interaction parameter value corresponding to each piece of question information from the server; and adjusting a position of the question information in the first display area based on the interaction parameter value corresponding to each piece of question information.

Abstract: System and methods for controlling suspended particle redistribution during stimulation treatments. Fluid flow in a wellbore is simulated for a stimulation treatment to be performed along a section of the wellbore within a subterranean formation, based on a flow model associated with the wellbore. Based on the simulation, dimensionless parameters characterizing a flow of suspended particles within a treatment fluid to a fractured area of the formation via at least one perforation along the section of the wellbore are calculated. A collection efficiency of the suspended particles within the fluid is determined, based on the dimensionless parameters. The collection efficiency is used to calculate a flow rate of the suspended particles to the fractured area of the formation via the perforation. The flow rate is used to estimate an amount of the suspended particles to be injected into the wellbore during the stimulation treatment along the wellbore section.

Abstract: Acid plays an important role in the hydraulic fracturing process, such as removing damage from the cement and formation which can result from perforating operations, thus providing a better path for the fracturing operations that follow. The disclosure relates generally to microencapsulated acid or acid precursor for targeted delivery and dosing of acid at the site of perforation in hydraulic fracturing applications, device and method of use the same. The targeted delivery and dosing of acid at the site of perforation provides the benefit of, including but not limited to, eliminating over acidizing (limiting near wellbore formation damage) and optimizing the removal of perforation residue and formation materials for lowering break-down pressure.

Abstract: Gas bubble migration can be managed in liquids. In one example, a system can execute wellbore-simulation software to simulate changes in gas dissolution in a liquid over time. This may involve dividing the wellbore into segments spanning from the well surface to the downhole location, each segment spanning a respective depth increment between the well surface and the downhole location. Next, for each time, the system can determine a respective multiphase-flow regime associated with each segment of the plurality of segments based on a simulated pressure level, a simulated temperature, a simulated pipe eccentricity, and a simulated fluid velocity at the segment. The system can also determine how much of the gas is dissolved in the liquid at each segment based on the respective multiphase-flow regime at the segment. The system can display a graphical user interface representing the gas dissolution in the liquid over time.

Abstract: System and methods for training neural network models for real-time flow simulations are provided. Input data is acquired. The input data includes values for a plurality of input parameters associated with a multiphase fluid flow. The multiphase fluid flow is simulated using a complex fluid dynamics (CFD) model, based on the acquired input data. The CFD model represents a three-dimensional (3D) domain for the simulation. An area of interest is selected within the 3D domain represented by the CFD model. A two-dimensional (2D) mesh of the selected area of interest is generated. The 2D mesh represents results of the simulation for the selected area of interest. A neural network is then trained based on the simulation results represented by the generated 2D mesh.

Abstract: The disclosed embodiments include a method, apparatus, and computer program product for determining optimal flow control device (FCD) properties that would yield to a prescribed shape of the injection flow rate profile. For example, in one embodiment, a computer implemented method is configured to perform the steps of: determining a reference location along a production length of the injection well; determining a reference value equal to the injection flow rate profile at the reference location along the production length of the injection well; defining a target injection profile using the reference value; determining a pressure distribution along the production length of the injection well based on the target injection profile; determining a FCD distribution profile using the target injection profile and the pressure distribution; and determining FCD properties that yields the target injection profile based on the FCD distribution profile.

Abstract: A variety of systems and methods are disclosed. A method may comprise calculating fluid flow with a computer system, wherein the fluid flow is a flow of a fracturing fluid comprising proppant; calculating dimensionless parameters with the computer system, wherein the dimensionless parameters comprise a description of a local flow around an individual perforated exit from a wellbore to a fracture; determining proppant collection efficiency using pre-calculated data with the computer system; calculating a proppant flow rate to the fracture with the computer system; and calculating with the computer system , an amount of the proppant delivered to the fracture based on the dimensionless parameters, the proppant collection efficiency, and the proppant flow rate to the fracture.

Abstract: System and methods for controlling suspended particle redistribution during stimulation treatments. Fluid flow in a wellbore is simulated for a stimulation treatment to be performed along a section of the wellbore within a subterranean formation, based on a flow model associated with the wellbore. Based on the simulation, dimensionless parameters characterizing a flow of suspended particles within a treatment fluid to a fractured area of the formation via at least one perforation along the section of the wellbore are calculated. A collection efficiency of the suspended particles within the fluid is determined, based on the dimensionless parameters. The collection efficiency is used to calculate a flow rate of the suspended particles to the fractured area of the formation via the perforation. The flow rate is used to estimate an amount of the suspended particles to be injected into the wellbore during the stimulation treatment along the wellbore section.