Designing cement that withstands perforations and other impact loads

Patent metadata

Field	Value
Publication number	US-12380969-B2
Application number	US-202117550767-A
Country	US
Kind code	B2
Filing date	Dec 14, 2021
Priority date	Dec 14, 2021
Publication date	Aug 5, 2025
Grant date	Aug 5, 2025

Abstract

The invention is directed to a method for designing cement slurry compositions based on toughness. The method addresses the problem of achieving a cement slurry with a desired toughness by iteratively selecting a cementitious material and water, including their concentrations, to form a cement slurry recipe. A toughness model, utilizing physicochemical properties of the recipe components, calculates the toughness of the slurry. The calculated toughness is compared to a predetermined toughness requirement. If the requirement is not met, the selection process is repeated with different materials or concentrations until the toughness requirement is satisfied. The resulting cement slurry recipe is used to prepare a cement slurry suitable for applications requiring specific toughness characteristics such as in wellbore cementing.

First claim

What is claimed is:

1. A method for designing a composition, the method comprising:
(a) selecting at least a cementitious material and concentration thereof and a water and concentration thereof to form a cement slurry recipe;
(b) calculating a toughness for the cement slurry recipe using a toughness model wherein the toughness model comprises an input of physicochemical properties of components of the cement slurry recipe, wherein the toughness model comprises an equation of the following form:

toughness
=

Af
⁡
(

w
B

)

⁢

g
⁡
(

C
⁢
a

S
⁢
i

,

A
⁢
l

S
⁢
i

)

⁢

h
⁡
(

-

1
T

)

⁢

p
⁡
(
P
)

⁢

k
⁡
(

PSD
,
φ

)

where A is a constant, w/B is water to blend ratio of water to other components of the cement slurry recipe, f ( ), g ( ), h ( ), p ( ) and k ( ) are functions, Ca/Si is a calcium to silica ratio, Al/Si is an aluminum to silica ratio, T is temperature, P is pressure, PSD is a particle size distribution of particulates in the cement composition and φ is the shape factor of the particulates in the cement slurry recipe;
(c) comparing the toughness of the cement slurry recipe to a toughness requirement;
(d) repeating steps (a)-(c) if the calculated toughness of the cement slurry recipe does not meet or exceed the toughness requirement, wherein each repeated step of selecting comprises selecting different concentrations and/or different chemical identities for at least the cementitious material and/or water than previously selected; and
(e) preparing a cement slurry based on the cement slurry recipe, the cement slurry including a toughness that meets or exceeds the toughness requirement.

2. The method of claim 1 , wherein f ( ), g ( ), h ( ), p ( ), and k ( ) are at least one of a power law, an exponential function, an algebraic expression, a transcendental expression, a decision trees, or a neural net.

3. The method of claim 1 , wherein the toughness model comprises an equation of the following form:

toughness
=

61.75
×

(

w
b

)

-

0
.
8

⁢
9
⁢
6

⁢

(

C
⁢
a

S
⁢
i

)

-

0
.
5

⁢
3
⁢
6

⁢

e

-
3

⁢
3
⁢
8
⁢
7
⁢

(

1

T
ref

-

1
T

)

where w/B is water to blend ratio of water to other components of the cement composition, Ca/Si is a calcium to silica ratio, T is temperature, and T ref is a reference temperature.

4. The method of claim 1 , wherein the toughness requirement is at least one toughness selected from the group consisting of fracture toughness, sudden impact toughness, compressive strength toughness, secant toughness, and combinations thereof.

5. The method of claim 1 , wherein each repeated step of selecting comprises selecting a different water-to-blend mass ratio.

6. The method of claim 1 , wherein each repeated step of selecting comprises selecting a different calcium-to-silica ratio.

7. The method of claim 1 , wherein each repeated step of selecting comprises selecting a different alumina-to-silica ratio.

8. The method of claim 1 , wherein the physicochemical properties of components of the cement slurry recipe comprise Ca/Si is a calcium to silica ratio, Al/Si is an aluminum to silica ratio, or combinations thereof.

9. The method of claim 8 , wherein the toughness requirement is at least one toughness selected from the group consisting of fracture toughness, sudden impact toughness, compressive strength toughness, secant toughness, and combinations thereof.

10. A method comprising:
generating a cement slurry recipe using a toughness model wherein the toughness model comprises an input of physicochemical properties of components of the cement slurry recipe, such that a calculated toughness of the cement slurry recipe using the toughness model meets or exceeds the toughness requireme

Assignees

• Halliburton Energy Services Inc

Inventors

• Jandhyala Siva Rama Krishna
• Pisklak Thomas Jason
• Morgan Ronnie Glen
• Singh John Paul Bir

Classifications

• G16C20/70

  Machine learning, data mining or chemometrics · CPC title

• C09K8/46

  containing inorganic binders, e.g. Portland cement · CPC title

• G16C20/30 Primary

  Prediction of properties of chemical compounds, compositions or mixtures · CPC title

• G16C60/00

  Computational materials science, i.e. ICT specially adapted for investigating the physical or chemical properties of materials or phenomena associated with their design, synthesis, processing, characterisation or utilisation · CPC title

• C04B40/0032 Primary

  Controlling the process of mixing, e.g. adding ingredients in a quantity depending on a measured or desired value (B28C7/00 takes precedence) · CPC title