Provided herein are improved methods for estimating the flow velocity of a fluid in a vessel. Systems and methods are provided herein related to making and/or refining velocity measurements for flowing fluids, both single and multi-phase fluids, in vessels, such as pipes or conduits, utilizing contrast media property agent variations. In one aspect, this disclosure provides a method of determining a flow velocity of a fluid flow in a vessel including: providing a fluid flow having contrast media, the contrast media having a contrast media property variation; providing a detectable signal corresponding to the contrast media property variation; collecting the detectable signal at an upstream receiver to produce a first received signal; collecting the detectable signal at a downstream receiver to produce a second received signal, the downstream receiver being located downstream of the upstream receiver at a distance (L); filtering the first received signal and the second received signal through a contrast media variant filter to produce a first filtered signal and a second filtered signal; cross-correlating the first filtered signal and the second filtered signal to determine a time shift (t) between the first filtered signal and the second filtered signal; and estimating the velocity of the fluid flow using this relationship vflow=L/t.

Embodiments for assessing energy usage efficiency in a fluid transfer pumping system in a cloud computing environment by a processor. A rate of temperature decay may be determined over a selected time period using a temperature signal collected by one or more non-intrusive Internet of Things (IoT) sensors located at one or more selected positions of a piping network in the fluid transfer pumping system so as to determine energy efficiency in the fluid transfer pumping system associated with a heating service, a cooling service, or combination thereof.

Systems and methods for detecting a condition of multi-phase flow through a component with a first sensing cable having a first sensor location and aligned with a heating element and a second sensing cable having a second sensing location a predetermined distance from the first sensing location. A heat pulse is propagated through the heating element. A first temperature profile at the first sensing location and a second temperature profile at the second sensing location, each corresponding to the heat pulse, are measured over time. A flow velocity is determined by correlating the first temperature profile with the second temperature profile. A condition of flow of the media is detected by determining a phase of at least one medium exposed to the sensing cable at the first sensing location based on the first temperature profile and the determined flow velocity.

The invention relates to a method for measuring a flow velocity (v) of a gas stream (14) featuring the steps: (a) time-resolved measurement of an IR radiation parameter (E) of IR radiation of the gas stream (14) at a first measurement point (P1) outside of the gas stream (14), thereby obtaining a first IR radiation parameter curve (E.sub.g1,1(t)), (b)time-resolved measurement of an IR radiation parameter (E) at a second measurement point (P2) outside of the gas stream (14), thereby obtaining a second IR radiation parameter curve (E.sub.g1,2(t)), (c) calculation of a transit time (?1) from the first IR radiation parameter curve (E.sub.g1,1(t)) and the second IR radiation parameter curve (E.sub.g1,2(t)), in particular by means of cross-correlation, and (d) calculation of the flow velocity (vG) from the transit time (?1), (e) wherein the IR radiation parameter (E.sub.g1) is measured photoelectrically at a wavelength (g1) of at least 780 nm, and (f) a measurement frequency (f) is at least 1 kilohertz.

A method for operating a thermal flow sensor includes: bringing a measuring medium into thermal contact with a sensor element of the flow sensor and periodically heating the medium using an AC voltage introduced into the sensor element; simultaneously detecting a maximum amplitude of a temperature and/or a phase shift between a curve of the AC voltage and the curve of the temperature; adjusting the detected maximum amplitude and/or the detected phase shift using calibration data; determining an isoline using the adjusted maximum amplitude and/or the adjusted phase shift based on model of the flow sensor, wherein the isoline has a plurality of value pairs of thermal conductivity and thermal capacitance of the medium; deriving a medium information from the isoline; and performing a flow measurement by converting signal values from the sensor element into measurement values of an effective flow velocity of the medium using the medium information.

A method includes shutting in a well and connecting a pressure control system and a tool body to an adapted tubing hanger plug. The pressure control system, tool body, and adapted tubing hanger plug are installed into a borehole, which is then opened for fluid flow. A flow rate of the fluid flow is measured with a spinner. Temperature spikes are generated using a thermal generator, and a time for the temperature spikes to travel from the thermal generator to a temperature probe is measured. A flow rate of the fluid flow is calculated based on the time. Further, physical properties of the fluid flow are measured with sensors disposed within an electronics section of the tool body. Surface and subsurface safety valves are closed, and the adapted tubing hanger plug and the tool body are retrieved from the borehole. Data is downloaded for analysis.

The invention relates to a method for measuring a flow velocity (v) of a gas stream (14) featuring the steps: (a) time-resolved measurement of an IR radiation parameter (E) of IR radiation of the gas stream (14) at a first measurement point (P1) outside of the gas stream (14), thereby obtaining a first IR radiation parameter curve (E.sub.g1,1(t)), (b) time-resolved measurement of an IR radiation parameter (E) at a second measurement point (P2) outside of the gas stream (14), thereby obtaining a second IR radiation parameter curve (E.sub.g1,2(t)), (c) calculation of a transit time (?1) from the first IR radiation parameter curve (E.sub.g1,1(t)) and the second IR radiation parameter curve (E.sub.g1,2(t)), in particular by means of cross-correlation, and (d) calculation of the flow velocity (vG) from the transit time (?1), (e) wherein the IR radiation parameter (E.sub.g1) is measured photoelectrically at a wavelength (g1) of at least 780 nm, and (f) a measurement frequency (f) is at least 1 kilohertz.

The present disclosure relate to a controller system and method for use in storage-style water heating systems that offers significant opportunities for energy saving. The controller system can adjust the water heating system in response to energy demand patterns of user fixtures. The controller system can detect quantity of heated water usage and produce a heated water usage profile. The controller system can determine the quantity or volume of the used heated water without a mechanical flow meter. The controller system can include a cost-effective, accurate, and easy-to-install water temperature sensors that provide measurements of the differentials between water temperatures without direct contact with the water. The water temperature sensors can be cost-effective and easy-to-install sensors that are attached to the water pipes through a strap or other attachment methods.

Embodiments for assessing energy usage efficiency in a fluid transfer pumping system in a cloud computing environment by a processor. A rate of temperature decay may be determined over a selected time period using a temperature signal collected by one or more non-intrusive Internet of Things (IoT) sensors located at one or more selected positions of a piping network in the fluid transfer pumping system so as to determine energy efficiency in the fluid transfer pumping system associated with a heating service, a cooling service, or combination thereof.

Embodiments for assessing energy in a fluid transfer pump system in a cloud computing environment by a processor. A fluid flow rate may be cognitively determined according to a tracer stimulus, injected into the fluid transfer pump system, and adequately detected by one or more Internet of Things (IoT) sensors located at one or more selected positions of a piping network in the fluid transfer pump system.