Viscometers and Viscometry methods are disclosed. In one general aspect a capillary bridge viscometer comprises an input port an output port a first capillary tubing arm in a first hydraulic path between the input port and a first differential detection point, a second capillary tubing arm in a second hydraulic path between the first differential detection point and the output port, a third capillary tubing arm in a third hydraulic path between the input port and a second differential detection point, a fourth capillary tubing arm in a fourth hydraulic path between the second differential detection point and the output port, an adjustable mechanical flow restrictor in one of the first, second, third, and fourth hydraulic paths, wherein the adjustable mechanical flow restrictor is operative to mechanically adjust a resistance to flow of a fluid while the fluid flows through the adjustable mechanical flow restrictor.

A sag detection apparatus comprises an oven containing a sample cell supported by a cell support structure, a thermal conductivity sensor including a sensor housing, and a roller with a first end supported by a first bearing and fixedly coupled to a first end of the cell support structure and a second end supported by a second bearing and fixedly coupled to a second end of the cell support structure. Temperature sensor wires electrically connect a temperature sensor and first fixed contact via stationary contacts configured to remain fixed during rotation of the roller and rotating contacts configured to rotate with rotation of the roller. Heat source wires electrically connect a heat source and a second fixed contact via stationary contacts configured to remain fixed during rotation of the roller and rotating contacts configured to rotate with rotation of the roller.

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.

Provided is a method for predicting kinematic viscosity of a fraction of a crude oil to optimize selection of crude oils. The method includes receiving parameters of the crude oil, such as Vacuum Residue yield and Conradson Carbon Residue (CCR), content as an input. The method also includes determining kinematic viscosity of the fraction of the crude oil at a first predetermined temperature based on a first correlation model between the physical parameters of the crude oil and the kinematic viscosity at the first predetermined temperature. The method further includes generating the kinematic viscosity of the fraction of the crude oil at the predetermined temperature based on the first correlation model corresponding to the input. Also provided is a system for predicting kinematic viscosity at a predetermined temperature to optimize crude oil selection. Further provided is a method for estimating an amount of cutter stock for crude oil processing.

A system includes a flow tube configured to receive a flow measured by an ultrasonic flow measurement, wherein a center region of the flow tube is configured to have a drop in pressure. The system also includes a heat source/hot wire and temperature sensors configured to enable a flow measured by a thermal massflow measurement. In the system, a controller is configured to compare the flow measured by the ultrasonic flow measurement to the flow measured by the thermal massflow measurement. The controller determines a ratio of the flow measured by an ultrasonic flow measurement to the flow measured on by the flow measurement based on thermal massflow. The controller also calculates a density, a thermal conductivity and an energy and/or gas content of the gas.

Provided is a flow analysis method capable of predicting a flow state of a composite resin material by taking into account a change in filler dispersion degree of the composite resin material. In a flow analysis method for a composite resin material having a filler and a resin, in a certain process of identifying a region in which the composite resin material flows and analyzing a flow, an exothermic reaction speed of the composite resin material in the region is computed using a filler dispersion degree Vwf in the composite resin material, a temperature and the filler dispersion degree Vwf of the composite resin material in the region is computed using the computed exothermic reaction speed, and an exothermic reaction speed in a process subsequent to a process to is computed using the computed filler dispersion degree Vwf.

Rheometer systems and related methods are provided. In accordance with an example, a rheometer system includes a rheometer and a platform supporting the rheometer and movable between a lowered position and a raised position. The rheometer system includes a fluid receptacle defining an opening. The rheometer system includes a receptacle housing having a housing side and adapted to receive the fluid receptacle. The opening of the fluid receptacle facing the rheometer when the fluid receptacle is received by the receptacle housing. The rheometer system includes a thermoelectric device coupled adjacent to the housing side. The rheometer system includes a controller in communication with the thermoelectric device and adapted to control a temperature of the thermoelectric device.

A viscosity measurement device and a method for measuring viscosity are provided. The viscosity measurement device includes a measurement container and an optical detection processing device. The measurement container accommodates a substance to be measured and a ball. The optical detection processing device includes an optical detector, a processing unit, a database, a controlling unit and a power supplying unit. The optical detector is disposed at a side of the measurement container to obtain an image to be analyzed from the measurement container. The processing unit is signally connected to the optical detector to process and analyze the image to be analyzed. The database stores the image to be analyzed. The controlling unit is connected to the optical detector and the processing unit to control the optical detector and the processing unit. The power supplying unit provides power for the optical detector, the processing unit and the controlling unit.

A sag detection apparatus comprises an oven containing a sample cell supported by a cell support structure, a thermal conductivity sensor including a sensor housing, and a roller with a first end supported by a first bearing and fixedly coupled to a first end of the cell support structure and a second end supported by a second bearing and fixedly coupled to a second end of the cell support structure. Temperature sensor wires electrically connect a temperature sensor and first fixed contact via stationary contacts configured to remain fixed during rotation of the roller and rotating contacts configured to rotate with rotation of the roller. Heat source wires electrically connect a heat source and a second fixed contact via stationary contacts configured to remain fixed during rotation of the roller and rotating contacts configured to rotate with rotation of the roller.

A system includes a compressor outlet temperature module, a refrigerant quality module, and a correction factor module. The compressor outlet temperature module is configured to estimate a temperature at an outlet of a compressor in a thermal system of an electric vehicle. The refrigerant quality module is configured to estimate a quality of refrigerant at an inlet of the compressor based on an enthalpy at the compressor inlet and an inlet enthalpy correction factor. The refrigerant quality is a ratio of vapor refrigerant mass to total refrigerant mass. The correction factor module is configured to determine the inlet enthalpy correction factor based on the estimated compressor outlet temperature and a temperature measured at the compressor outlet.