Evaluating Wellbores For Use As Carbon Capture Underground Storage Wells
Abstract
A variety of methods and systems are disclosed, including, in one example, a method including: providing a composition for a cement disposed in a wellbore; selecting injection conditions for an invasive fluid for an injection or storage operation; predicting a depth of penetration of the invasive fluid into the cement with a depth of penetration model based at least in part on the injection conditions and the composition for the cement; predicting a material property of the cement with a cement property model based at least in part on the predicted depth of penetration; performing an integrity analysis based at least in part on the predicted material property; and performing the injection or storage operation in the wellbore based at least in part on the integrity analysis.
Claims
exact text as granted — not AI-modifiedWhat is claimed is:
1 . A method comprising:
providing a composition for a cement disposed in a wellbore; selecting injection conditions for an invasive fluid for an injection or storage operation; predicting a depth of penetration of the invasive fluid into the cement with a depth of penetration model based at least in part on the injection conditions and the composition for the cement; predicting a material property of the cement with a cement property model based at least in part on the predicted depth of penetration; performing an integrity analysis based at least in part on the predicted material property; and performing the injection or storage operation in the wellbore based at least in part on the integrity analysis.
2 . The method of claim 1 , wherein the injection conditions comprise at least one condition selected from the group consisting of a volumetric flow rate, temperature, pressure, volume, phase, concentration, and any combinations thereof.
3 . The method of claim 2 , further comprising modifying at least one of the injection conditions based at least in part on the integrity analysis.
4 . The method of claim 2 , further comprising repeating the steps of predicting a depth of penetration, predicting a material property, and performing an integrity analysis until an output of the integrity analysis satisfies a predetermined criteria.
5 . The method of claim 2 , further comprising disposing a logging tool in the wellbore and performing a wellbore casing assessment prior to the injection or storage operation, wherein the injection or storage operation is performed if a sonic attenuation of the wellbore casing is below a threshold value.
6 . The method of claim 1 , further comprising specifying a timespan, wherein the predicted depth of penetration is determined based at least in part on an exposure of the cement to the invasive fluid during the specified timespan.
7 . The method of claim 6 , wherein predicting the material property of the cement is repeated using the cement property model for a plurality of time intervals within the specified timespan.
8 . The method of claim 1 , wherein the injection or storage operation comprises injecting an injection fluid comprising the invasive fluid into a permeable zone of a subterranean formation, the injecting conforming to the selected injection conditions.
9 . The method of claim 1 , wherein the integrity analysis is performed with a numerical simulator, wherein the injection or storage operation is performed if an output of the numerical simulator meets a predetermined criteria.
10 . The method of claim 9 , wherein the output of the numerical simulator comprises strain at each of a plurality of depths and azimuths at or near the wellbore.
11 . The method of claim 1 , wherein the integrity analysis comprises providing a maximum material property of the cement and comparing the maximum material property to the predicted material property.
12 . The method of claim 1 , wherein the integrity analysis comprises comparing a load and a failure property of the cement.
13 . The method of claim 1 , wherein the integrity analysis comprises comparing, for a plurality of regions at or near the wellbore, a maximum shear stress and an applied shear stress.
14 . The method of claim 1 , wherein the depth of penetration model, the cement property model, or both comprise at least one algorithm selected from the group consisting of a supervised machine learning algorithm, a semi-supervised machine learning algorithm, an unsupervised machine learning algorithm, a reinforced machine learning model, a binary classification model, a multiclass classification model, a regression models, decision trees, a random forest classifier, logistic regression, support vector machine algorithms (SVM), a Naive Bayes classifier, a k-nearest neighbors (K-NN) algorithm, clustering, k-means clustering, a dimensionality reduction algorithm, a gradient boosting algorithm, a probabilistic classifier, and any combinations thereof.
15 . The method of claim 1 , wherein the depth of penetration model has the form:
DOP= f ( x, a, t ) where DOP is the depth of penetration as a function of at least x, a, and t, where x is a variable or a vector comprising one or more concentrations or amounts of a cement component in the cement, a is a variable or a vector comprising one or more determinable constants, and t is an exposure time.
16 . The method of claim 1 , wherein the depth of penetration model has the form:
DOP
=
[
a
0
+
(
a
1
*
VF
water
)
+
(
a
2
*
(
C
2
S
+
C
3
S
)
)
+
(
a
3
*
FQ
)
+
(
a
4
*
PSD
)
+
(
a
5
*
Latex
)
]
*
time
a
6
*
e
E
*
1
T
*
(
a
7
*
P
)
where DOP is the depth of penetration, VF water is a volume fraction of water, C 2 S and C 3 S are mass averaged amounts of dicalcium silicate and tricalcium silicate in the cement respectively, FQ is a foam quality factor, PSD is a particle size distribution factor, Latex is a mass percent of an active amount of fluid loss polymer in the cement, time is the exposure time, E is an activation energy, T is a temperature, P is a pressure, and a0, a1, a2, a3, a4, a5, a6, and a7 are one or more determinable constants.
17 . The method of claim 1 , wherein the cement property model has the form:
CP= f (VF modified , CP control , CP modified ) where CP is a material property of a chemically modified cement, VF modified is a volume fraction of a chemically modified portion in a chemically modified cement, CP control is a material property of a chemically unmodified portion of a cement, and CP modified is a material property of a modified portion of a chemically modified cement.
18 . The method of claim 17 , wherein the predicting of the material property involves use of a function having the form:
CP
modified
CP
control
=
f
(
Design
,
Duration
,
Environment
)
where Design is a variable or vector representing one or more wellbore design factors, Duration is an exposure time, and Environment is a variable or vector representing one or more environmental factors.
19 . A method of evaluating a wellbore comprising:
preparing a plurality of cement slurries, wherein the plurality of cement slurries each comprise a cement and volume fraction of water; curing the plurality of cement slurries to form a plurality of set cement samples; exposing the plurality of set cement samples to an invasive fluid; allowing the invasive fluid to at least partially modify the plurality of set cement samples to form a plurality of chemically modified cement samples; measuring a cement property of each of the plurality of chemically modified cement samples to generate a cement property dataset; predicting a cement property of a cement exposed for a period of time to an invasive fluid based at least in part on the cement property dataset; and inputting the predicted cement property and one or more loads into a numerical simulator for modeling regions at or near the wellbore; and performing an integrity analysis of the cement based at least in part on an output of the numerical simulator.
20 . The method of claim 19 , wherein the output of the numerical simulator comprises strain determined at an interface between a carbonated portion and an uncarbonated portion of the cement.Join the waitlist — get patent alerts
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