Selecting supplemental cementitious materials for specific performance characteristic

Patent metadata

Field	Value
Publication number	US-11542207-B2
Application number	US-201916637631-A
Country	US
Kind code	B2
Filing date	Apr 5, 2019
Priority date	Apr 5, 2019
Publication date	Jan 3, 2023
Grant date	Jan 3, 2023

Abstract

A method may include: analyzing each of a group of inorganic particles to generate data about physicochemical properties of each of the inorganic particles; and generating a correlation between a reactivity index of each of the inorganic particles and the data.

First claim

What is claimed is:

1. A method comprising:
analyzing each of a group of inorganic particles to generate data about physicochemical properties of each of the inorganic particles;
generating a correlation between a reactivity index of each of the inorganic particles and the data,
wherein the reactivity index is a measure of each of the inorganic particles' reactivity adjusted for a difference in at least one of specific gravity, bulk density, water requirement, or amount of SiO 2 and CaO,
wherein the correlation is a multi-linear regression model; and

identifying a cement additive, based at least in part on the correlation, preparing a sample cement composition comprising the cement additive, and testing the sample cement composition to determine one or more performance characteristics.

2. The method of claim 1 wherein the step of analyzing comprises measuring at least one of specific gravity, bulk density, water requirement, or concentration of inorganic species.

3. The method of claim 1 wherein at least one of the inorganic particles comprises at least one of silica, alumina, iron, iron oxide, calcium, calcium oxide, sodium, potassium, magnesium, sulfur, and combinations thereof.

4. The method of claim 1 wherein the analyzing the inorganic particles comprises analysis by one or more techniques selected from the group consisting of microscopy, spectroscopy, x-ray diffraction, x-ray fluorescence, particle size analysis, water requirement analysis, scanning electron microscopy, energy-dispersive X-ray spectroscopy, surface area, specific gravity analysis, thermogravimetric analysis, morphology analysis, infrared spectroscopy, ultraviolet-visible spectroscopy, mass spectroscopy, secondary ion mass spectrometry, electron energy mass spectrometry, dispersive x-ray spectroscopy, auger electron spectroscopy, inductively coupled plasma analysis, thermal ionization mass spectroscopy, glow discharge mass spectroscopy x-ray photoelectron spectroscopy, mechanical property testing, Young's Modulus testing, rheological properties, Poisson's Ratio, API testing, and combinations thereof.

5. The method of claim 1 wherein the correlation has the general form of:
reactivity index=Π f ( p i )

where p i is a measurable physical and/or chemical property of the inorganic particles.

6. The method of claim 1 further comprising estimating reactivity of a cement additive, based at least in part on the correlation, the cement additive comprising two or more of the inorganic particles.

7. The method of claim 1 further comprising designing a cement composition based at least in part on the correlation and preparing a cement slurry based on the cement composition.

8. The method of claim 7 further comprising placing the cement slurry into a subterranean formation using one or more pumps.

9. The method of claim 1 wherein the correlation has the following form:
reactive index=Σ a i p i

where a i is a constant and pi is a measurable physical property selected from the group consisting of specific gravity, bulk density, water requirement, particle size, particle size distribution, hausner ratio, particle shape parameters, aspect ratio of the particle, specific surface area, solubility in an alkaline media, silica concentration, calcium oxide concentration, alumina concentration, iron oxide concentration, manganese oxide concentration, zinc oxide concentration, amorphous phase silica concentration, and combinations thereof.

10. The method of claim 1 wherein the correlation has the following form:
α i =a+b *SG+ c *BD+ d *WR+ e *Si+ f *Ca

where a, b, c, d, e, and f are constants, SG is specific gravity, BD is bulk density, WR is water requirement, Si is a mass percentage of SiO 2 and Ca is the mass percentage of CaO.

11. The method of claim 10 wherein a is approximately 2.527, wherein b is approximately −1.582, wherein c is approximately −0.01553, wherein d is approximately =0.06003, and wherein f is approximately 0.07112.

12. A system comprising:
an analytical instrument configured to gather physicochemical data about a plurality of inorganic particles;
a computer system configured to accept the physicochemical data and generate a correlation between a reactivity index of each of the inorganic particles,
wherein the reactivity index is a measure of each of the inorganic particles' reactivity adjusted for a difference in at least one of specific gravity, bulk density, water requirement, or amount of SiO 2 and CaO,
wherein the correlation is a multi-linear regression model, wherein the computer system is configured to accept a and a user input comprising one or more cement performance characteristics, and wherein the computer system is configured to identify a cement additive, based at least in part on the correlation and the one or more cement performance characteristics, and output a cement composition comprising the cement additive.

13. The system of claim 12 wherein the analytical instrument is configured to measure at least one of specific gravity, bulk density, water requirement, or concentration of inorganic species.

14. The system of claim 12 wherein at least one of the inorganic particles comprises at least one of silica, alumina, iron, iron oxide, calcium, calcium oxide, sodium, potassium, magnesium, sulfur, and combinations thereof.

15. The system of claim 12 wherein the analytical instrument is configured to perform one or more of functions selected from the group consisting of microscopy, spectroscopy, x-ray diffraction, x-ray fluorescence, particle size analysis, water requirement analysis, scanning electron microscopy, energy-dispersive X-ray spectroscopy, surface area, specific gravity analysis, thermogravimetric analysis, morphology analysis, infrared spectroscopy, ultraviolet-visible spectroscopy, mass spectroscopy, secondary ion mass spectrometry, electron energy mass spectrometry, dispersive x-ray spectroscopy, auger electron spectroscopy, inductively coupled plasma analysis, thermal ionization mass spectroscopy, glow discharge mass spectroscopy x-ray photoelectron spectroscopy, mechanical property testing, Young's Modulus testing, rheological properties, Poisson's Ratio, API testing, and combinations thereof.

16. The system of claim 12 wherein the computer system is further configured to estimate a reactivity of a cement additive, based at least in part on the correlation, the cement additive comprising two or more of the inorganic particles.

17. A non-transitory computer readable medium having data stored therein representing software executable by a computer, the software including instructions comprising:
instructions to accept physicochemical data for one or more inorganic particles;
instructions to calculate a reactivity index for the one or more inorganic particles;
wherein the reactivity index is a measure of each of the inorganic particles' reactivity adjusted for a difference in at least one of specific gravity, bulk density, water requirement, or amount of SiO 2 and CaO,

instructions to calculate a correlation between the physicochemical data and the reactivity index for at least one of the one or more inorganic particles, wherein the correlation is a multi-linear regression model;
instructions to accept a user input comprising one or more cement performance characteristics;
instructions to identify a cement additive, based at least in part on the correlation and the one or more cement performance characteristics; and
output a cement composition comprising the cement additive.

18. The n

Assignees

• Halliburton Energy Services Inc

Inventors

• Singh John Paul Bir
• Pang Xueyu
• Yerubandi Krishna Babu
• Morgan Ronnie Glen
• Pisklak Thomas Jason

Classifications

• C04B28/02

  containing hydraulic cements other than calcium sulfates · CPC title

• C04B40/0096 Primary

  Provisions for indicating condition of the compositions or the final products, e.g. degree of homogeneous mixing, degree of wear · CPC title

• G16C20/20

  Identification of molecular entities, parts thereof or of chemical compositions · CPC title

• C09K8/032 Primary

  Inorganic additives · CPC title

• G01N2223/076

  X-ray fluorescence · CPC title