US2026036035A1PendingUtilityA1
Real-time inversion method of multi-measurement point and multi-parameter drilling, device, media and product
Est. expiryAug 5, 2044(~18.1 yrs left)· nominal 20-yr term from priority
E21B 2200/22E21B 2200/20E21B 47/07E21B 21/08E21B 44/00E21B 47/06E21B 47/12G06F 17/11G06F 18/10G06F 18/213
49
PatentIndex Score
0
Cited by
0
References
0
Claims
Abstract
Provided is a real-time inversion method of multi-measurement point and multi-parameter drilling, a device, a media and a product, relating to the technical field of oil-gas exploration. The method includes: acquiring downhole measurement data of target drilled well; where the downhole measurement data is measured in real time based on an intelligent microsphere along a drill pipe; establishing a real-time inversion interpretation model for a downhole gas kick condition based on a wellbore multiphase flow forward model and an adaptive unscented Kalman filter algorithm according to the downhole measurement data; and inputting the downhole measurement data into the real-time inversion interpretation model for the downhole gas kick condition to obtain an inversion parameter of target drilled well.
Claims
exact text as granted — not AI-modifiedWhat is claimed is:
1 . A real-time inversion method of multi-measurement point and multi-parameter drilling, comprising:
acquiring downhole measurement data of target drilled well; wherein the downhole measurement data is measured in real time based on an intelligent microsphere along a drill pipe; establishing a real-time inversion interpretation model for a downhole gas kick condition based on a wellbore multiphase flow forward model and an adaptive unscented Kalman filter algorithm according to the downhole measurement data; wherein the wellbore multiphase flow forward model is a mathematical model which is constructed for a heat transfer and mass transfer process of wellbore multiphase flow resulted from the downhole gas kick condition based on a theory of wellbore multiphase flow and heat transfer; the adaptive unscented Kalman filter algorithm is an optimal estimator suitable for nonlinear time-varying noise interference which is constructed after introducing an adaptive factor into an unscented Kalman filter; and inputting the downhole measurement data into the real-time inversion interpretation model for the downhole gas kick condition to obtain an inversion parameter of the target drilled well.
2 . The real-time inversion method of multi-measurement point and multi-parameter drilling according to claim 1 , wherein the downhole measurement data comprises wellhead pressure sensor data, downhole temperature sensor data, downhole pressure sensor data, inlet flow sensor data and outlet flow sensor data.
3 . The real-time inversion method of multi-measurement point and multi-parameter drilling according to claim 2 , wherein the downhole measurement data is expressed as follows:
p
m
,
N
=
[
p
m
,
N
(
t
1
)
,
p
m
,
N
(
t
2
)
,
…
,
p
m
,
N
(
t
N
)
]
;
T
m
,
N
=
[
T
m
,
N
(
t
1
)
,
T
m
N
(
t
2
)
,
…
,
T
m
,
N
(
t
N
)
]
;
p
m
,
c
=
[
p
m
,
c
(
t
1
)
,
p
m
,
c
(
t
2
)
,
…
,
p
m
,
c
(
t
N
)
]
;
q
m
,
c
=
[
q
m
,
c
(
t
1
)
,
q
m
,
c
(
t
2
)
,
…
,
q
m
,
c
(
t
N
)
]
;
q
m
,
s
=
[
q
m
,
s
(
t
1
)
,
q
m
,
s
(
t
2
)
,
…
,
q
m
,
s
(
t
N
)
]
;
where p denotes a wellbore pressure, t 1 , t 2 , . . . , t N denote N time points corresponding to the measurement data, T denotes temperature, q denotes a flow rate, subscript m denotes the measurement data, subscript N denotes a downhole measurement point N, subscript c denotes a wellhead, and subscript s denotes a surface outlet.
4 . The real-time inversion method of multi-measurement point and multi-parameter drilling according to claim 1 , wherein the inversion parameters comprises a gas kick position, a gas kick rate, a gas front edge height, a gas slippage velocity and an invaded gas volume.
5 . The real-time inversion method of multi-measurement point and multi-parameter drilling according to claim 1 , wherein the acquiring downhole measurement data of target drilled well comprises:
based on the intelligent microspheres along a wireless measurement sensor device provided at each node in the drill pipe, acquiring the downhole measurement data collected in each intelligent microsphere which is in data communication with the wireless measurement sensor device.
6 . The real-time inversion method of multi-measurement point and multi-parameter drilling according to claim 1 , wherein subsequent to the acquiring downhole measurement data of target drilled well, the method further comprises:
carrying out data preprocessing on the downhole measurement data, which specifically comprises: using a statistical method to check whether there are missing values and/or abnormal values in the downhole measurement data; if so, filling the missing values and/or abnormal values by an average filling method to obtain filled downhole measurement data; carrying out data denoising and normalization processing on the filled downhole measurement data to obtain processed downhole measurement data.
7 . The real-time inversion method of multi-measurement point and multi-parameter drilling according to claim 1 , wherein the real-time inversion interpretation model for the downhole gas kick condition is expressed as follows:
x
k
/
k
-
1
(
i
)
=
f
(
x
k
-
1
/
k
-
1
(
i
)
)
+
q
k
=
f
(
[
h
k
i
c
k
,
q
k
i
c
k
,
L
G
,
v
G
,
V
G
]
k
-
1
/
k
-
1
(
i
)
)
+
[
(
q
h
kick
)
k
0
0
0
0
0
(
q
q
kick
)
k
0
0
0
0
0
(
q
L
G
)
k
0
0
0
0
0
(
q
v
G
)
k
0
0
0
0
0
(
q
V
G
)
k
]
;
y
k
/
k
-
1
(
i
)
=
g
(
x
k
/
k
-
1
(
i
)
)
+
r
k
=
[
p
m
,
N
(
[
h
kick
,
q
kick
,
L
G
,
v
G
,
V
G
]
k
/
k
-
1
(
i
)
T
m
,
N
(
[
h
kick
,
q
kick
,
L
G
,
v
G
,
V
G
]
k
/
k
-
1
(
i
)
p
m
,
c
(
[
h
kick
,
q
kick
,
L
G
,
v
G
,
V
G
]
k
/
k
-
1
(
i
)
q
m
,
c
(
[
h
kick
,
q
kick
,
L
G
,
v
G
,
V
G
]
k
/
k
-
1
(
i
)
q
m
,
s
(
[
h
kick
,
q
kick
,
L
G
,
v
G
,
V
G
]
k
/
k
-
1
(
i
)
]
+
[
(
v
p
m
,
N
)
k
0
0
0
0
0
(
v
T
m
,
N
)
k
0
0
0
0
0
(
v
p
m
,
c
)
k
0
0
0
0
0
(
v
q
m
,
c
)
k
0
0
0
0
0
(
v
q
m
,
s
)
k
]
;
where p denotes a wellbore pressure, t 1 , t 2 , . . . , t N denote N time points corresponding to the measurement data, T denotes temperature, q denotes a flow rate, subscript m denotes the measurement data, subscript N denotes a downhole measurement point N, subscript c denotes a wellhead, subscript s denotes a surface outlet, h denotes a gas kick position, q denotes a gas kick rate, L denotes a gas front edge height, v denotes a gas slippage velocity, V denotes invaded gas volume, subscripts kick and G denote the downhole gas kick condition, and subscript k denotes a k-th.
8 . A computer device, comprising a memory, a processor and a computer program which is stored in the memory and is executable on the processor, wherein the processor executes the computer program to implement the real-time inversion method of multi-measurement point and multi-parameter drilling according to claim 1 .
9 . The computer device according to claim 8 , wherein the downhole measurement data comprises wellhead pressure sensor data, downhole temperature sensor data, downhole pressure sensor data, inlet flow sensor data and outlet flow sensor data.
10 . The computer device according to claim 9 , wherein the downhole measurement data is expressed as follows:
p
m
,
N
=
[
p
m
,
N
(
t
1
)
,
p
m
,
N
(
t
2
)
,
…
,
p
m
,
N
(
t
N
)
]
;
T
m
,
N
=
[
T
m
,
N
(
t
1
)
,
T
m
N
(
t
2
)
,
…
,
T
m
,
N
(
t
N
)
]
;
p
m
,
c
=
[
p
m
,
c
(
t
1
)
,
p
m
,
c
(
t
2
)
,
…
,
p
m
,
c
(
t
N
)
]
;
q
m
,
c
=
[
q
m
,
c
(
t
1
)
,
q
m
,
c
(
t
2
)
,
…
,
q
m
,
c
(
t
N
)
]
;
q
m
,
s
=
[
q
m
,
s
(
t
1
)
,
q
m
,
s
(
t
2
)
,
…
,
q
m
,
s
(
t
N
)
]
;
where p denotes a wellbore pressure, t 1 , t 2 , . . . , t N denote N time points corresponding to the measurement data, T denotes temperature, q denotes a flow rate, subscript m denotes the measurement data, subscript N denotes a downhole measurement point N, subscript c denotes a wellhead, and subscript s denotes a surface outlet.
11 . The computer device according to claim 8 , wherein the inversion parameters comprises a gas kick position, a gas kick rate, a gas front edge height, a gas slippage velocity and an invaded gas volume.
12 . The computer device according to claim 8 , wherein the acquiring downhole measurement data of target drilled well comprises:
based on the intelligent microspheres along a wireless measurement sensor device provided at each node in the drill pipe, acquiring the downhole measurement data collected in each intelligent microsphere which is in data communication with the wireless measurement sensor device.
13 . The computer device according to claim 8 , wherein subsequent to the acquiring downhole measurement data of target drilled well, the method further comprises:
carrying out data preprocessing on the downhole measurement data, which specifically comprises: using a statistical method to check whether there are missing values and/or abnormal values in the downhole measurement data; if so, filling the missing values and/or abnormal values by an average filling method to obtain filled downhole measurement data; carrying out data denoising and normalization processing on the filled downhole measurement data to obtain processed downhole measurement data.
14 . The computer device according to claim 8 , wherein the real-time inversion interpretation model for the downhole gas kick condition is expressed as follows:
x
k
/
k
-
1
(
i
)
=
f
(
x
k
-
1
/
k
-
1
(
i
)
)
+
q
k
=
f
(
[
h
k
i
c
k
,
q
k
i
c
k
,
L
G
,
v
G
,
V
G
]
k
-
1
/
k
-
1
(
i
)
)
+
[
(
q
h
kick
)
k
0
0
0
0
0
(
q
q
kick
)
k
0
0
0
0
0
(
q
L
G
)
k
0
0
0
0
0
(
q
v
G
)
k
0
0
0
0
0
(
q
V
G
)
k
]
;
y
k
/
k
-
1
(
i
)
=
g
(
x
k
/
k
-
1
(
i
)
)
+
r
k
=
[
p
m
,
N
(
[
h
kick
,
q
kick
,
L
G
,
v
G
,
V
G
]
k
/
k
-
1
(
i
)
T
m
,
N
(
[
h
kick
,
q
kick
,
L
G
,
v
G
,
V
G
]
k
/
k
-
1
(
i
)
p
m
,
c
(
[
h
kick
,
q
kick
,
L
G
,
v
G
,
V
G
]
k
/
k
-
1
(
i
)
q
m
,
c
(
[
h
kick
,
q
kick
,
L
G
,
v
G
,
V
G
]
k
/
k
-
1
(
i
)
q
m
,
s
(
[
h
kick
,
q
kick
,
L
G
,
v
G
,
V
G
]
k
/
k
-
1
(
i
)
]
+
[
(
v
p
m
,
N
)
k
0
0
0
0
0
(
v
T
m
,
N
)
k
0
0
0
0
0
(
v
p
m
,
c
)
k
0
0
0
0
0
(
v
q
m
,
c
)
k
0
0
0
0
0
(
v
q
m
,
s
)
k
]
;
where p denotes a wellbore pressure, t 1 , t 2 , . . . , t N denote N time points corresponding to the measurement data, T denotes temperature, q denotes a flow rate, subscript m denotes the measurement data, subscript N denotes a downhole measurement point N, subscript c denotes a wellhead, subscript s denotes a surface outlet, h denotes a gas kick position, q denotes a gas kick rate, L denotes a gas front edge height, v denotes a gas slippage velocity, V denotes invaded gas volume, subscripts kick and G denote the downhole gas kick condition, and subscript k denotes a k-th.
15 . A non-transitory computer-readable storage medium on which a computer program is stored, wherein the computer program, when executed by a processor, implements the real-time inversion method of multi-measurement point and multi-parameter drilling according to claim 1 .
16 . The non-transitory computer-readable storage medium according to claim 15 , wherein the downhole measurement data comprises wellhead pressure sensor data, downhole temperature sensor data, downhole pressure sensor data, inlet flow sensor data and outlet flow sensor data.
17 . The non-transitory computer-readable storage medium according to claim 16 , wherein the downhole measurement data is expressed as follows:
p
m
,
N
=
[
p
m
,
N
(
t
1
)
,
p
m
,
N
(
t
2
)
,
…
,
p
m
,
N
(
t
N
)
]
;
T
m
,
N
=
[
T
m
,
N
(
t
1
)
,
T
m
,
N
(
t
2
)
,
…
,
T
m
,
N
(
t
N
)
]
;
p
m
,
c
=
[
p
m
,
c
(
t
1
)
,
p
m
,
c
(
t
2
)
,
…
,
p
m
,
c
(
t
N
)
]
;
q
m
,
c
=
[
q
m
,
c
(
t
1
)
,
q
m
,
c
(
t
2
)
,
…
,
q
m
,
c
(
t
N
)
]
;
q
m
,
s
=
[
q
m
,
s
(
t
1
)
,
q
m
,
s
(
t
2
)
,
…
,
q
m
,
s
(
t
N
)
]
;
where p denotes a wellbore pressure, t 1 , t 2 , . . . , t N denote N time points corresponding to the measurement data, T denotes temperature, q denotes a flow rate, subscript m denotes the measurement data, subscript N denotes a downhole measurement point N, subscript c denotes a wellhead, and subscript s denotes a surface outlet.
18 . The non-transitory computer-readable storage medium according to claim 15 , wherein the inversion parameters comprises a gas kick position, a gas kick rate, a gas front edge height, a gas slippage velocity and an invaded gas volume.
19 . The non-transitory computer-readable storage medium according to claim 15 , wherein the acquiring downhole measurement data of target drilled well comprises:
based on the intelligent microspheres along a wireless measurement sensor device provided at each node in the drill pipe, acquiring the downhole measurement data collected in each intelligent microsphere which is in data communication with the wireless measurement sensor device.
20 . The non-transitory computer-readable storage medium according to claim 15 , wherein subsequent to the acquiring downhole measurement data of target drilled well, the method further comprises:
carrying out data preprocessing on the downhole measurement data, which specifically comprises: using a statistical method to check whether there are missing values and/or abnormal values in the downhole measurement data; if so, filling the missing values and/or abnormal values by an average filling method to obtain filled downhole measurement data; carrying out data denoising and normalization processing on the filled downhole measurement data to obtain processed downhole measurement data.Cited by (0)
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