The invention relates to the technical field of oilfield exploration, and discloses a 4D quantitative and intelligent diagnosis method and system for spatio-temporal evolution of oil-gas reservoir damage types and extent. The method includes: determining a characteristic parameter characterizing reservoir damage by each of a plurality of factors based on a spatio-temporal evolution simulation equation of reservoir damage by each of the plurality of factors; and determining an effective characteristic parameter characterizing the damage extent of the reservoir based on the characteristic parameter characterizing reservoir damage rby each of the plurality of factors. The invention can quantitatively simulate the characteristic parameters of reservoir damage caused by the various factors and a total characteristic parameter of the reservoir damage. Therefore for a well without reservoir damage, performing quantitative prediction of reservoir damage and spatio-temporal deduction of damage laws is of scientific guidance significance for preventing reservoir damage, and formulating development plans for oil pools and subsequent well stimulation measures, and for a well with reservoir damage, also performing quantitative diagnosis of reservoir damage and spatio-temporal deduction of damage laws achieves optimal design of a declogging measure and improvement or restoration of oil-gas well production and water well injection capacity.

System for determining rheological properties of grease, includes a grease worker having a cylinder intended to contain the grease and a piston intended to move inside the cylinder in a first direction and in a second opposite direction and provided with holes. The grease worker further including a seal provided between the piston and the cylinder, force for measuring the force required to push the grease through the holes of the piston is measured an electrical motor and an eccentrical connection transforming the rotating motion of the motor in a translation motion pushes the grease thought the holes, a thermocouple for measuring a temperature of the cylinder, a fan and a heater for regulating temperature for maintaining constant the measured temperature at a predetermined temperature, and a computing unit configured to determine at least one rheological property of the grease from the measured forces and from the seal friction.

A system includes a fluid conduit, a fluid chamber in communication with the fluid conduit, a rheology sensor in communication with the fluid chamber, and an electric temperature controller in communication with the fluid chamber. The fluid chamber is cooled in response to a first control signal from the electric temperature controller.

Time-based sag in a fluid can be measured non-invasively using a time-based sag testing apparatus by measuring the change in rotational inertia over time of fluid having no initial density gradient and a center of mass initially coincident with its geometric center.

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 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.

A 4D quantitative and intelligent diagnosis method for spatio-temporal evolution of oil-gas reservoir damage types and extent includes: determining a characteristic parameter characterizing reservoir damage by each of a plurality of factors based on a spatio-temporal evolution simulation equation of reservoir damage by each of the plurality of factors; and determining an effective characteristic parameter characterizing the damage extent of the reservoir based on the characteristic parameter characterizing reservoir damage by each of the plurality of factors. The method quantitatively simulate the characteristic parameters of reservoir damage caused by the various factors and a total characteristic parameter of the reservoir damage.

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 capillary bridge viscometer, comprises an input port (flow in) an output port (flow out) a first capillary tubing arm (R1) in a first hydraulic path between the input port and a first differential detection point (DP+), a second capillary tubing arm (R3) in a second hydraulic path between the first differential detection point (DP+) and the output port (flow out), a third capillary tubing arm (R2) in a third hydraulic path between the input port (flow in) and a second differential detection point (DP−), a fourth capillary tubing arm (R4) in a fourth hydraulic path between the second differential detection point (DP−) and the output port (flow out), an adjustable mechanical flow restrictor (20) in one of the first, second, third, and fourth hydraulic paths, wherein the adjustable mechanical flow restrictor (20) is operative to mechanically adjust a resistance to flow of a fluid while the fluid flows through the adjustable mechanical flow restrictor.

The invention relates to a method for the online sensing of the rheology of thermoplastic and/or elastomer material for the production of injection-molded parts, wherein a measuring tool (6) is arranged in an injection-molding machine (1) between the stationary clamping plate (2) and the movable clamping plate (3) thereof instead of a mold die, wherein the measuring tool (6) comprises a measuring channel (13), in the course of which at least two pressure sensors (16) and at least two temperature sensors (17) are arranged, which transfer corresponding measured values of the material injected by means of an injection assembly (5) into the measuring channel (13) to a programmable logic controller (PLC) belonging to the injection-molding machine (1), with these measured values being processed by means of an algorithm in the PLC, evaluated and made available for the actual injection process.