Abstract: Disclosed is a power supply method for an intrinsically-safe gas chromatograph.

Abstract: A method and a system for predicting well production of a reservoir using machine learning models and algorithms is disclosed. The method includes obtaining a training data set for training a machine learning (ML) model and selecting an artificial neural network model structure, the model structure including a number of layers and a number of nodes of each layer. Further, the method includes generating a plurality of individually trained ML models and calculating a model performance of each trained model by evaluating a difference between a model prediction and a well performance data. The plurality of top-ranked individually trained ML models is constrained using one or multiple known physical rules. A plurality of individual predicted well production data is generated using the geological, the completion, and the petrophysical data of interest and a final predicted well production data is generating based on the plurality of individual predicted well production data.

Abstract: Methods and systems are disclosed. The methods may include determining a first sequence of permeabilities by subjecting a rock sample to a first sequence of confining stress, axial stress, pore pressure (CSASPP) triplets and determining a first rock parameter using the first sequence of permeabilities, the first sequence of CSASPP triplets, and a first permeability model. The methods may further include determining a second sequence of permeabilities by subjecting the rock sample to a second sequence of CSASPP triplets and determining a second rock parameter using the second sequence of permeabilities, the second sequence of CSASPP triplets, and the first permeability model. The method may still further include determining an in situ permeability for an in situ rock based on an initial permeability, a second stress sensitivity parameter, a first stress sensitivity parameter, a confining stress value, axial stress values, a pore pressure value, and a second permeability model.

Abstract: An additive repair device for internal threads is provided. The device includes a moving assembly, a rotating assembly, a speed regulation assembly, a gear assembly, an additive assembly, and a connecting assembly. The moving assembly includes a drive part and a linear movement mechanism. The additive assembly is connected to the linear movement mechanism through the connecting assembly. One end, which is far away from the drive part, of the linear movement mechanism is connected to an input end of the speed regulation assembly through the gear assembly. The rotating assembly includes a clutch mechanism and a clamping mechanism. The clutch mechanism includes a clutch outer gear and a clutch inner gear. The clutch outer gear is arranged at an output end of the speed regulation assembly. The clamping mechanism is fixed to one end, which is far away from the speed regulation assembly, of the clutch inner gear.

Abstract: A face detection method includes: acquiring a target image; invoking a face detection network, and processing the target image by using a feature extraction structure of the face detection network, to obtain original feature maps corresponding to the target image; the original feature maps having different resolutions; processing the original feature maps by using a feature enhancement structure of the face detection network, to obtain an enhanced feature map corresponding to each original feature map; the feature enhancement structure being obtained by searching a search space, and the search space used for searching the feature enhancement structure being determined based on a detection objective of the face detection network and a processing object of the feature enhancement structure; and processing the enhanced feature map by using a detection structure of the face detection network, to obtain a face detection result of the target image.

Abstract: A wire-feeding electromagnetic spray additive manufacturing device and method are provided. The device includes a housing, an alternating current power box is fixedly installed on the housing, and a stirring needle is also arranged in the housing. The device further includes a fixed seat fixedly installed in the housing, and a heating coil is arranged between the fixed seat and the stirring needle; a lower end of the stirring needle is provided with spinnerets and heating channels adapted with corresponding the spinnerets respectively; upper ends of the heating channels penetrate through the stirring needle and are fixedly connected with the housing, and an extrusion assembly is fixedly installed on each of the heating channels; and a smoke pipe is fixedly installed on the extrusion assembly, and an upper end of the smoke pipe penetrates through the housing and is connected with a negative pressure fan.

Abstract: A manufacturing method of amorphous nanocrystalline composite materials includes following steps: S1, transferring raw materials through a feeding mechanism; S2, generating metal droplets from the raw materials under an action of one of an electric spark and an electric arc through a pulse power supply; S3, transporting the metal droplets below a flying plate under an action of a transmission medium; S4, generating a magnetic field force through electromagnetic pulse coils disposed on the flying plate to drive the flying plate to impact the metal droplets onto surfaces of substrates; S5, repeating the S1 to S4, thereby forming dense amorphous nanocrystalline composite materials. The pulse power supply is utilized to generate the metal droplets from the raw materials under the action of the electric spark or the short electric arc, and then the metal droplets are formed to the dense amorphous nanocrystalline composite materials.

Abstract: A method and a system for evaluating and simulating a nuclear power plant based on a model are provided, which includes a plant top-level demand module, a function realization module, a logical architecture construction module, an evaluation and simulation configuration module, a function evaluation module, an overall performance evaluation module, a data information communication module and a model base module.

Abstract: A method and a system for evaluating and simulating a nuclear power plant based on a model are provided, which includes a plant top-level demand module, a function realization module, a logical architecture construction module, an evaluation and simulation configuration module, a function evaluation module, an overall performance evaluation module, a data information communication module and a model base module.

Abstract: A safety I/O module includes a plurality of output channels and a plurality of channel output terminals. The safety module further includes a multi-channel high side switch comprising an integrated circuit including a voltage input terminal and a plurality of main switches. A plurality of discrete safety switches are also provided. Each of the output channels includes a redundant pair of switches including one of the main switches of the multi-channel high side switch and one of the safety switches arranged in series. The main switch and the safety switch are configured to: (i) operably connect the voltage input terminal of the multi-channel high side switch to a respective one of the channel output terminals when both the main switch and the safety switch are in a conductive state; and (ii) disconnect the voltage input terminal of the multi-channel high side switch from the respective one of the channel output terminals when at least one of the main switch and the safety switch are in a non-conductive state.

Abstract: A method for determining SRV and EUR includes: monitoring an amount and a density of a hydrocarbon fluid produced from the production well; obtaining a cumulative amount of the fluid that has accumulated from a beginning of production; obtaining a relationship between the cumulative amount and a square root of the time; determining a deviation point where the relationship changes from linear to non-linear; determining a deviation amount of the fluid corresponding to the deviation point; determining a first density of the hydrocarbon fluid at the beginning of production, a second density at a pore pressure equal to a bottom hole pressure in the production well, a first porosity at the beginning of production, and a second porosity for a pore pressure equal to the bottom hole pressure; and determining SRV and the EUR based on the deviation amount, the first and second densities, and the first and second porosities.

Abstract: A method for predicting well production is disclosed. The method includes obtaining a training data set for a machine learning (ML) model that generates predicted well production data based on observed data of interest, generating multiple sets of initial guesses of model parameters of the ML model, using an ML algorithm applied to the training data set to generate multiple individually trained ML models based the multiple sets of initial model parameters, comparing a validation data set and respective predicted well production data of the individually trained ML models to generate a ranking, selecting top-ranked individually trained ML models based on the ranking, using the data of interest as input to the top-ranked individually trained ML models to generate a set of individual predicted well production data, and generating a final predicted well production data based on the set of individual predicted well production data.

Abstract: A method for determining stress-dependent permeability includes providing a core sample in a pressurized core container of a testing apparatus and generating a steady-state flow of gas from an upstream reservoir in the testing apparatus along an axial direction through the pressurized core container into a downstream reservoir in the testing apparatus. During the steady-state flow, an inlet pressure at an inlet to the core sample, an outlet pressure at an outlet of the core sample, and a midpoint pressure at a midpoint of the core sample are measured. The stress-dependent permeability is calculated from a flow rate of the gas through the core sample and the measurements of the inlet pressure, the outlet pressure, and the midpoint pressure.

Abstract: The present disclosure describes methods and systems, including computer-implemented methods, computer program products, and computer systems, for analyzing a rock sample from a hydrocarbon reservoir.

Abstract: Described herein are silicone-containing acrylic polymers useful, for example, in transdermal drug delivery compositions, to methods of making and using them, to transdermal drug delivery compositions comprising them, and to methods of making and using such transdermal drug delivery compositions. The polymers are particular suitable for formulating amine drugs, such as amphetamine, methylphenidate, rivastigmine, paroxetine and clonidine.

Abstract: A method for determining SRV and EUR includes: monitoring an amount and a density of a hydrocarbon fluid produced from the production well; obtaining a cumulative amount of the fluid that has accumulated from a beginning of production; obtaining a relationship between the cumulative amount and a square root of the time; determining a deviation point where the relationship changes from linear to non-linear; determining a deviation amount of the fluid corresponding to the deviation point; determining a first density of the hydrocarbon fluid at the beginning of production, a second density at a pore pressure equal to a bottom hole pressure in the production well, a first porosity at the beginning of production, and a second porosity for a pore pressure equal to the bottom hole pressure; and determining SRV and the EUR based on the deviation amount, the first and second densities, and the first and second porosities.

Abstract: The present disclosure describes methods and systems, including computer-implemented methods, computer program products, and computer systems, for analyzing a rock sample from a hydrocarbon reservoir.

Abstract: A method for determining stress-dependent permeability includes providing a core sample in a pressurized core container of a testing apparatus and generating a steady-state flow of gas from an upstream reservoir in the testing apparatus along an axial direction through the pressurized core container into a downstream reservoir in the testing apparatus. During the steady-state flow, an inlet pressure at an inlet to the core sample, an outlet pressure at an outlet of the core sample, and a midpoint pressure at a midpoint of the core sample are measured. The stress-dependent permeability is calculated from a flow rate of the gas through the core sample and the measurements of the inlet pressure, the outlet pressure, and the midpoint pressure.

Abstract: Provided herein are adhesive compositions comprising: 1) at least one adhesive of an alcohol-functionalized acrylic adhesive, an alcohol-functionalized silicone adhesive, a carboxyl-functionalized acrylic adhesive, and a carboxyl-functionalized silicone adhesive, 2) at least one phase-separated hydrophilic material, and 3) at least one bioactive compound. At least one bioactive compound may comprise an antimicrobial agent. The adhesive compositions can quickly release an antimicrobial agent and cause the rapid onset of antimicrobial effects. Also provided are adhesive products and methods using the disclosed adhesive composition.

Abstract: Herein methods and systems for determining matrix or grain density of a subsurface formation are described. This includes measuring in-air mass of a fluid-saturated sample of the subsurface formation, wherein the in-air mass comprises mass of matrix or grains of the sample, mass of a fluid surrounding the sample, and mass of the fluid inside the sample. The volume of the fluid inside the sample, V?, and volume of the fluid surrounding the sample, Vsur, are determined using nuclear magnetic resonance (NMR). The fluid-saturated sample can then be submerged in a predetermined volume of a weighing fluid and mass of the fluid-saturated sample without the surrounding fluid in the weighing fluid, mf is measured. Using the measured and determined values one can determine the volume of the sample without the surrounding fluid, Vc, the bulk density of the fluid-saturated sample without the surrounding fluid, ?b, the volume of the matrix, Vm, and the matrix or grain density of the subsurface formation, ?m.