Patent classifications
G01N11/08
HIGH-TEMPERATURE, HIGH-PRESSURE, AND LOW-VELOCITY GAS MICROTUBE VISCOSITY MEASURING APPARATUS AND MEASURING METHOD THEREOF
A high-temperature, high-pressure, and low-velocity gas microtube viscosity measuring apparatus that comprises a thermotank, a fluid filtering and measuring device, a micro-pressure difference metering device, and a data acquisition and processing system. The fluid filtering and measuring device includes a filter, a microtube connector, a flow rate measuring liquid storage tank, an automatic micro-flow rate metering device, and an intermediate container connected in series via pipelines. The micro-pressure difference metering device is connected at two ends to pipelines at the two ends of the microtube connector via detection pipelines. The data acquisition and processing system is electrically connected to the micro-pressure difference metering device and the automatic micro-flow rate metering device to receive pressure difference data and flow rate data.
Systems And Methods For Automatically Evaluating Slurry Properties
In some embodiments, a system for automatically evaluating slurry properties includes a down-hole measurement device configured to be lowered into slurry provided in an excavated hole, the measurement device comprising an outer housing, a flow pump, a flow meter, and a differential pressure sensor, wherein the flow pump is configured to pump slurry through the flow meter, the flow meter is configured to measure a flow rate of the pumped slurry, and the differential pressure sensor is configured to measure a difference in pressure between the pumped slurry and the slurry outside of the measurement device.
Systems And Methods For Automatically Evaluating Slurry Properties
In some embodiments, a system for automatically evaluating slurry properties includes a down-hole measurement device configured to be lowered into slurry provided in an excavated hole, the measurement device comprising an outer housing, a flow pump, a flow meter, and a differential pressure sensor, wherein the flow pump is configured to pump slurry through the flow meter, the flow meter is configured to measure a flow rate of the pumped slurry, and the differential pressure sensor is configured to measure a difference in pressure between the pumped slurry and the slurry outside of the measurement device.
METHODS AND SYSTEMS FOR MONITORING DRILLING FLUID RHEOLOGICAL CHARACTERISTICS
Systems and methods for determining fluid rheological characteristics of a fluid used in a subsurface operation are provided. The methods include measuring temperature, pressure, and at least one of a flow rate and a flow velocity of the fluid in a first fluid circuit. A model is based on the temperature, the pressures, and the flow rate or flow velocity. The fluid rheological characteristic of the fluid in a second fluid circuit is determined by measuring a temperature and flow rate and/or flow velocity in the second fluid circuit. The rheological characteristic of the fluid is calculated based on the model employing the temperature and the flow rate/flow velocity of the second fluid circuit.
Determining physical parameters of a liquid with simulation
A method for determining physical parameters of an unknown liquid to be aspirated and/or dispensed by a laboratory automation device comprises: determining physical parameters of a pipette, the physical parameters including geometric parameters of the pipette, which at least include a tip radius of an orifice of the pipette; aspirating and/or dispensing the unknown liquid with a pipette of the laboratory automation device and measuring a measured pressure curve in the pipette during aspirating and/or dispensing; determining the physical parameters of the unknown liquid by minimizing an objective function depending on a difference between a simulated pressure curve and the measured pressure curve, wherein the simulated pressure curve simulates a pressure in the pipette during aspirating and/or dispensing and is calculated based on a physical model of the laboratory automation device including the physical parameters of the pipette.
Determining Physical Parameters of a Liquid
A method for determining physical parameters of a liquid to be aspirated and/or dispensed by a laboratory automation device comprises: picking up of a pipette with the laboratory automation device; lowering the pipette into a sample container with the laboratory automation device, the sample container containing the liquid; aspirating and dispensing air and liquid with the laboratory automation device in such a way, that a liquid level in the pipette solely rises in a first step and solely lowers in a second step, such that an interior surface of the pipette is wetted with liquid solely one time; and during aspirating and dispensing air and liquid, measuring a pressure curve in the pipette and determining the physical parameters from the pressure curve, the physical parameters comprising at least one of a surface tension, a wetting angle and a viscosity.
Device and methods for simultaneous determination of intrinsic viscosity and non-newtonian behavior of polymers
Devices and methods for rapidly and incrementally or continuously, measuring rheological properties of polymers under different shear rates. The device includes a pump configured to accept a continuous stream of sample solution during an interval of time, an injector configured to inject a flow of the sample solution through two or more viscometers, and a computing and processing device configured to monitor and measure rheological properties of the solution under at least two shear rates simultaneously in the two or more viscometers.
Device and methods for simultaneous determination of intrinsic viscosity and non-newtonian behavior of polymers
Devices and methods for rapidly and incrementally or continuously, measuring rheological properties of polymers under different shear rates. The device includes a pump configured to accept a continuous stream of sample solution during an interval of time, an injector configured to inject a flow of the sample solution through two or more viscometers, and a computing and processing device configured to monitor and measure rheological properties of the solution under at least two shear rates simultaneously in the two or more viscometers.
GEL PARTICLE-CONTAINING DISCONTINUOUS PHASE SEEPAGE EXPERIMENTAL APPARATUS AND CRITICAL PRESSURE DETERMINATION METHOD
A gel particle-containing discontinuous phase seepage experimental apparatus includes a micro-liquid volume injection system, a pressure acquisition and transmission system, a microscopic observation system, and an in-microchannel particle screening and transfer system. According to the established discontinuous phase seepage experimental apparatus, particle sizes of gel particles are accurately screened by using a customized microfluidic chip, and transfer forms, existing states, pressure fluctuations, and the like of gel particles in a single-channel microfluidic chip under the conditions of different sizes, different elastic modulus, and different quantities are monitored in real-time by using a high-precision pressure sensing system and a microscopic observation system.
SYSTEMS AND METHODS FOR PREDICTING AND CONTROLLING THE PROPERTIES OF A CHEMICAL SPECIES DURING A TIME-DEPENDENT PROCESS
Devices and methods for controlling the properties of chemical species during time-dependent processes. A device includes a reactor for containing one or more chemical species of a time-dependent process, an extraction pump for automatically and continuously extracting an amount of the one or more chemical species from the reactor, one or more detectors for measuring property changes of the one or more extracted chemical species and generating a continuous stream of data related to the one or more property changes to the one or more chemical species during a time interval, and a process controller configured to fit the continuous stream of data to a mathematical function to predict one or more properties of the one or more chemical species at a future time point and make one or more process decisions based on the prediction of one or more properties at the future time point.