Sensor characterization apparatus, methods, and systems

Patent metadata

Field	Value
Publication number	US-9857279-B2
Application number	US-201214399377-A
Country	US
Kind code	B2
Filing date	Aug 28, 2012
Priority date	Aug 28, 2012
Publication date	Jan 2, 2018
Grant date	Jan 2, 2018

Abstract

In some embodiments, an apparatus and a system, as well as a method and an article, may operate to receive a vibration signal having a frequency and a characteristic (e.g., voltage) proportional to the vibration amplitude of a tube in a vibrating tube density sensor. Further activity may include transmitting the density of a fluid flowing through the tube based on the frequency and an elastic modulus of the tube determined by the value of the characteristic. Additional apparatus, systems, and methods are described.

First claim

What is claimed is:

1. A method, comprising:
passing a fluid through a vibrating tube section of a vibrating tube density sensor;
heating the vibrating tube section over a range of temperatures;
measuring a magnetic moment of a receiver magnet in the vibrating tube density sensor over the range of temperatures;
determining a geometric factor of the vibrating tube density sensor, based on the measured magnetic moment;
receiving a vibration signal having a frequency and a characteristic proportional to a vibration amplitude of the vibrating tube section;
determining an elastic modulus based, at least in part, on the geometric factor, the magnetic moment, and a temperature dependent function of the characteristic; and
determining density of a fluid flowing through the vibrating tube section based on the frequency and the elastic modulus.

2. The method of claim 1 , wherein the characteristic comprises a quality factor of the vibrating tube density sensor or a voltage provided by a receiver coil disposed within the vibrating tube density sensor.

3. The method of claim 1 , further comprising:
processing the value of the characteristic using a generation function model based on a polynomial function or a trained neural network to obtain the elastic modulus.

4. The method of claim 1 , further comprising:
determining the elastic modulus by providing the vibration signal to a voltage-to-elastic modulus function model forming part of a trained neural network, the trained neural network being previously trained over a range of measured temperature behavior associated with the vibrating tube density sensor.

5. The method of claim 1 , further comprising:
measuring an elastic modulus and the characteristic over a range of temperatures; and
determining a correlation between the measured elastic modulus and the characteristic value as a function that is used to provide a value of the elastic modulus based on the value of the characteristic.

6. The method of claim 1 , further comprising:
recording the characteristic as a function of the range of temperatures.

7. The method of claim 6 , further comprising:
calculating the elastic modulus, based on the geometric factor, the magnetic moment, and the function; and
calculating calibration coefficients based on the elastic modulus.

8. The method of claim 1 , further comprising:
determining a temperature proximate to the vibrating tube section; and
determining the density based on the temperature.

9. The method of claim 8 , wherein determining the temperature proximate to the tube comprises using an emissive sensor.

Assignees

• Chen Dingding
• Gao Li
• Pelletier Michael T
• Rodriguez Nestor Javier
• Halliburton Energy Services Inc

Inventors

• Chen Dingding
• Gao Li
• Pelletier Michael T
• Rodriguez Nestor Javier

Classifications

• E21B49/08

  Obtaining fluid samples or testing fluids, in boreholes or wells · CPC title

• G01N9/002 Primary

  using variation of the resonant frequency of an element vibrating in contact with the material submitted to analysis (G01N9/34 takes precedence) · CPC title

• E21B47/10

  Locating fluid leaks, intrusions or movements · CPC title