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r
m
an
ce
m
a
y
o
cc
u
r
.
T
h
er
e
f
o
r
e,
co
n
tin
u
o
u
s
m
o
n
ito
r
in
g
an
d
ad
ap
tatio
n
o
f
p
r
e
d
ictio
n
m
o
d
els
b
ased
o
n
r
ea
l
-
tim
e
d
ata
is
es
s
en
tial
f
o
r
ac
cu
r
ate
R
OP
p
r
ed
ictio
n
.
Ad
d
itio
n
ally
,
co
llab
o
r
atio
n
b
etwe
en
g
e
o
l
o
g
is
ts
,
d
r
illi
n
g
en
g
in
ee
r
s
,
an
d
d
ata
s
cien
tis
ts
i
s
cr
itical
to
d
ev
elo
p
in
g
ef
f
ec
tiv
e
p
r
ed
ictiv
e
m
o
d
els.
R
OP
is
af
f
ec
ted
b
y
n
u
m
e
r
o
u
s
p
ar
a
m
eter
s
s
u
ch
as
r
o
ck
m
ec
h
an
ics,
s
u
b
s
u
r
f
ac
e
c
o
n
d
it
io
n
s
,
d
r
illi
n
g
m
u
d
,
d
r
illi
n
g
h
y
d
r
au
lics
,
d
r
ill
s
tr
in
g
m
ec
h
a
n
ics,
r
o
ck
cr
u
s
h
in
g
m
o
d
el,
b
it
ty
p
es,
m
ec
h
an
ics
o
f
r
o
ck
c
r
u
s
h
in
g
i
n
b
its
,
an
d
b
it
o
p
er
atin
g
c
o
n
d
itio
n
s
.
Fiv
e
ca
teg
o
r
i
es
ar
e
u
s
ed
t
o
class
if
y
th
em
:
f
o
r
m
atio
n
p
r
o
p
er
ties
,
h
y
d
r
au
lic
p
ar
am
eter
s
,
d
r
illi
n
g
f
lu
i
d
p
r
o
p
er
ties
,
r
i
g
ef
f
icie
n
cy
,
an
d
m
ec
h
an
ical
p
ar
am
eter
s
[
9
]
.
T
h
ese
f
iv
e
ca
teg
o
r
ies
ca
n
al
s
o
b
e
class
if
ied
in
to
two
m
ain
f
ac
to
r
s
,
n
am
ely
en
v
ir
o
n
m
en
tal
f
ac
to
r
s
,
an
d
co
n
tr
o
llab
le
f
ac
to
r
s
[
1
0
]
.
B
ec
au
s
e
m
o
s
t
d
r
illi
n
g
p
ar
am
eter
s
d
ep
en
d
o
n
o
n
e
an
o
th
e
r
,
it
is
ch
allen
g
in
g
to
d
eter
m
i
n
e
th
e
im
p
ac
t
o
f
ea
ch
p
ar
am
eter
[
9
]
.
T
h
er
ef
o
r
e,
it
is
n
ec
ess
ar
y
to
d
ev
el
o
p
a
lo
g
ical
r
elatio
n
s
h
ip
b
etwe
en
p
ar
am
ete
r
s
to
ass
is
t th
e
o
p
tim
izatio
n
o
f
R
OP
.
Sev
er
al
m
o
d
els
h
a
v
e
b
ee
n
b
u
il
t
to
p
r
e
d
ict
R
OP
with
v
ar
io
u
s
p
ar
am
eter
s
[
1
1
]
-
[
1
6
]
.
Pre
v
iew
s
tu
d
y
[
1
2
]
,
it
is
p
r
o
v
id
ed
a
th
eo
r
etica
l
m
o
d
el
f
o
r
r
o
ller
co
n
e
b
its
th
at
i
s
af
f
ec
ted
b
y
d
r
illi
n
g
m
ec
h
an
i
ca
l
p
ar
am
eter
s
lik
e
R
PM,
W
OB
,
r
o
ck
s
tr
en
g
th
,
an
d
b
it
s
ize.
L
ater
,
B
in
g
h
am
[
1
7
]
m
o
d
if
ied
th
e
m
o
d
el
i
n
[
1
2
]
in
t
o
a
s
im
p
le
eq
u
atio
n
th
at
ig
n
o
r
es
th
e
th
r
esh
o
ld
f
o
r
t
h
e
lo
ad
o
n
th
e
d
r
ill
b
it.
W
eig
h
t
ex
p
o
n
e
n
tial
was
in
tr
o
d
u
ce
d
i
n
th
is
m
o
d
el
[
1
7
]
.
Mo
r
eo
v
er
,
th
e
m
o
d
el
in
[
1
8
]
is
a
m
o
d
el
f
o
r
esti
m
atin
g
th
e
R
OP
v
alu
e
u
s
in
g
m
u
ltip
le
r
e
g
r
e
s
s
io
n
an
aly
s
is
with
th
e
o
r
ig
in
al
d
r
illi
n
g
d
ata
tak
e
n
in
s
h
o
r
t
in
ter
v
als.
T
h
is
m
o
d
el
is
a
m
u
ltiv
ar
iab
le
f
u
n
ctio
n
s
u
ch
as
f
o
r
m
atio
n
s
tr
en
g
th
,
d
e
p
th
,
p
r
ess
u
r
e
d
if
f
er
en
ce
alo
n
g
th
e
wellb
o
r
e,
d
r
ill
b
it
d
iam
eter
,
d
r
ill
b
it
lo
a
d
,
r
o
tatio
n
s
p
ee
d
,
b
it
wea
r
,
an
d
d
r
ill b
it
h
y
d
r
au
lics
[
1
8
]
.
I
n
r
ec
en
t
y
ea
r
s
,
ar
tific
ial
in
tellig
en
t
(
AI
)
tec
h
n
iq
u
es
s
u
ch
as
ar
tific
ial
n
eu
r
al
n
etwo
r
k
(
ANN)
ar
e
wid
ely
ap
p
lied
in
th
e
a
p
p
licatio
n
o
f
d
r
illi
n
g
tech
n
iq
u
es.
T
h
e
m
o
s
t
p
o
p
u
lar
R
OP
p
r
ed
ictio
n
r
esear
ch
u
s
in
g
ANN
is
th
e
r
esear
ch
in
[
1
9
]
-
[
2
1
]
.
T
h
ey
c
o
n
s
id
er
ed
a
wid
er
r
an
g
e
o
f
p
ar
a
m
eter
s
to
p
r
ed
ict
R
OP
m
o
r
e
a
cc
u
r
ately
.
An
o
th
er
s
tu
d
y
,
h
o
wev
er
,
u
s
ed
th
e
ANN
m
eth
o
d
with
o
n
ly
s
ix
in
p
u
t
v
ar
iab
les
b
u
t
p
r
o
d
u
ce
d
h
i
g
h
ac
cu
r
ac
y
[
2
2
]
.
Al
-
Ab
d
u
ljab
b
ar
et
a
l.
[
2
2
]
h
as
cr
ea
ted
a
R
OP
m
o
d
el
u
tili
zin
g
ANN
in
co
n
j
u
n
ctio
n
with
s
elf
-
ad
ap
tiv
e
d
if
f
er
e
n
tial
ev
o
lu
tio
n
(
SaDE
)
,
as
well
as
a
m
o
d
el
f
o
r
a
h
o
r
izo
n
tal
ca
r
b
o
n
ate
r
eser
v
o
i
r
.
Six
d
r
illi
n
g
p
ar
am
eter
s
an
d
r
o
ck
attr
ib
u
tes
in
th
e
f
o
r
m
o
f
g
am
m
a
r
ay
s
,
r
esis
tiv
ity
,
an
d
b
u
lk
d
e
n
s
ity
ar
e
u
s
ed
as
in
p
u
t
p
a
r
am
et
er
s
.
As
a
r
esu
lt,
th
e
m
o
d
el
ex
h
i
b
ited
h
ig
h
ac
cu
r
ac
y
[
7
]
,
[
2
3
]
.
Hy
b
r
id
ANN
was
u
s
ed
b
y
Ash
r
af
i
et
a
l.
[
2
3
]
to
esti
m
ate
R
OP
an
d
th
is
m
eth
o
d
is
b
etter
th
a
n
co
n
v
en
ti
o
n
al
ANN.
R
esear
ch
er
s
ar
e
co
n
tin
u
o
u
s
ly
o
p
tim
izin
g
t
h
e
d
r
illi
n
g
tech
n
iq
u
es
o
f
g
eo
th
e
r
m
al
wells
an
d
f
u
zz
y
lo
g
ic
h
as
b
ee
n
test
ed
to
p
r
ed
ict
th
e
p
en
etr
atio
n
r
ate.
Fu
zz
y
lo
g
ic
c
an
ex
p
lain
an
d
p
r
o
v
id
e
to
ler
a
n
ce
f
o
r
f
u
zz
y
v
alu
es
th
at
ca
n
n
o
t
b
e
class
if
ied
in
to
1
(
tr
u
e)
o
r
0
(
f
alse)
li
k
e
f
ir
m
lo
g
ic.
T
h
er
ef
o
r
e,
th
e
ca
lcu
latio
n
o
f
g
eo
th
e
r
m
al
R
OP
is
s
u
itab
le
to
b
e
s
o
lv
ed
b
y
f
u
zz
y
lo
g
ic.
T
h
e
f
u
zz
y
m
o
d
eler
g
o
es
th
r
o
u
g
h
s
ev
er
al
p
r
o
ce
s
s
es
s
u
ch
as
f
u
zz
if
icatio
n
,
f
u
zz
y
r
u
les,
f
u
zz
y
in
f
er
e
n
ce
,
an
d
d
ef
u
zz
if
icatio
n
[
2
4
]
,
[
2
5
]
.
B
asar
ir
et
a
l.
[
2
6
]
in
v
esti
g
ate
d
th
e
p
r
ed
ictio
n
o
f
R
OP
u
s
in
g
lin
ea
r
r
eg
r
ess
io
n
,
n
o
n
lin
ea
r
r
eg
r
ess
io
n
,
an
d
t
h
e
ANFI
S
m
o
d
el.
T
h
e
r
esu
lts
s
h
o
w
th
e
s
u
p
er
i
o
r
ity
o
f
th
e
ANFI
S
m
eth
o
d
o
v
er
th
e
r
eg
r
ess
io
n
m
eth
o
d
[
2
6
]
.
Ah
m
e
d
et
a
l.
[
4
]
u
s
ed
Su
g
en
o
'
s
f
u
zz
y
lo
g
ic
b
u
ilt
with
f
u
zz
y
in
f
e
r
en
ce
s
y
s
tem
s
(
FIS)
to
p
r
ed
ict
d
r
illi
n
g
R
OP.
T
h
is
f
u
zz
y
m
o
d
el
was
d
ev
elo
p
ed
u
s
in
g
f
iv
e
d
r
illi
n
g
m
ec
h
an
ical
p
ar
am
eter
s
a
n
d
f
i
v
e
d
r
illi
n
g
f
lu
id
attr
ib
u
tes
wh
e
r
e
th
e
ac
cu
r
ac
y
o
f
R
OP
p
r
ed
ic
tio
n
is
q
u
ite
h
i
g
h
(
r
=
0
.
9
7
1
an
d
AAPE
=
7
.
2
9
%).
Dr
illi
n
g
o
p
tim
izatio
n
u
s
in
g
f
u
zz
y
lo
g
ic
is
s
till
in
p
r
o
g
r
ess
.
T
h
e
f
ir
s
t
-
o
r
d
er
Su
g
en
o
’
s
m
eth
o
d
is
o
n
e
o
f
th
e
f
u
zz
y
m
o
d
elin
g
tech
n
iq
u
es
in
w
h
ich
t
h
e
o
u
tco
m
e
o
f
ea
c
h
f
u
zz
y
r
u
le
is
a
lin
ea
r
co
m
b
in
atio
n
o
f
th
e
in
p
u
ts
[
2
4
]
,
[
2
5
]
.
Fu
r
t
h
er
m
o
r
e,
d
e
f
u
zz
if
icatio
n
in
th
e
f
ir
s
t
-
o
r
d
er
Su
g
e
n
o
’
s
f
u
zz
y
s
y
s
tem
ca
n
b
e
r
e
p
r
esen
ted
b
y
a
lin
ea
r
eq
u
atio
n
s
s
y
s
tem
.
T
h
e
s
in
g
u
lar
v
alu
e
d
ec
o
m
p
o
s
itio
n
(
SVD)
ca
n
b
e
u
s
ed
to
o
b
tain
th
e
o
p
tim
al
s
o
lu
tio
n
o
f
a
lin
ea
r
eq
u
atio
n
s
s
y
s
tem
.
T
h
e
n
u
m
b
er
o
f
f
u
zz
y
r
u
les
ca
n
b
e
o
p
tim
ized
b
y
u
s
in
g
f
u
zz
y
c
-
m
ea
n
s
clu
s
ter
in
g
(
FC
M)
.
Fu
r
th
er
m
o
r
e,
th
e
p
ar
am
eter
s
o
n
th
e
co
n
s
e
q
u
en
ce
o
f
th
e
f
ir
s
t
-
o
r
d
er
Su
g
e
n
o
’
s
f
u
zz
y
r
u
les ar
e
d
is
co
v
er
ed
b
y
th
e
SVD
m
eth
o
d
.
B
ased
o
n
th
e
p
r
ev
io
u
s
d
escr
ip
t
io
n
,
r
esear
ch
o
n
th
e
p
r
ed
ictio
n
o
f
R
OP
in
g
e
o
th
er
m
al
d
r
illi
n
g
u
s
in
g
th
e
f
ir
s
t
-
o
r
d
er
Su
g
e
n
o
’
s
f
u
zz
y
s
y
s
tem
with
F
C
M
an
d
SVD
m
et
h
o
d
s
h
as
n
o
t
b
ee
n
ca
r
r
ied
o
u
t
.
T
h
er
ef
o
r
e
,
in
th
is
p
ap
er
,
we
d
is
cu
s
s
R
OP
p
r
ed
ict
io
n
s
f
o
r
o
p
tim
izin
g
g
eo
th
e
r
m
al
d
r
illi
n
g
u
s
in
g
a
f
ir
s
t
-
o
r
d
er
Su
g
en
o
’
s
f
u
zz
y
s
y
s
tem
b
y
co
m
b
i
n
in
g
FC
M
an
d
SVD
m
eth
o
d
s
.
Mo
r
eo
v
er
,
we
co
m
p
ar
e
th
e
ac
cu
r
ac
y
o
f
th
is
m
o
d
els
with
two
o
th
er
m
o
d
els
th
at
ar
e
r
ad
ial
b
asis
f
u
n
ctio
n
n
eu
r
al
n
etwo
r
k
s
(
R
B
FNN)
an
d
th
e
R
B
FNN
-
SVD
m
o
d
els.
I
n
s
ec
tio
n
2
,
th
e
p
r
o
p
o
s
ed
m
eth
o
d
o
f
th
is
r
esear
ch
is
ex
p
lain
ed
in
d
etail.
I
t
is
ab
o
u
t
th
e
g
e
o
th
er
m
al
d
ata,
in
clu
d
in
g
th
e
g
eo
th
er
m
al
c
o
n
ce
p
t
a
n
d
th
e
d
ata
d
escr
ip
tio
n
,
a
n
d
th
e
s
tep
s
f
o
r
ex
ec
u
tin
g
th
is
r
esear
ch
.
T
h
e
r
esu
lts
o
f
th
is
r
esear
ch
an
d
t
h
e
d
is
cu
s
s
io
n
o
f
th
em
ar
e
ex
p
lain
ed
in
s
ec
tio
n
3
.
L
ast,
th
e
co
n
clu
s
io
n
is
in
s
ec
tio
n
4
.
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
2088
-
8
6
9
4
I
n
t J Po
w
E
lec
&
Dr
i Sy
s
t
,
Vo
l.
15
,
No
.
4
,
Dec
em
b
er
20
24
:
2190
-
2
1
9
8
2192
2.
M
E
T
H
O
D
T
h
e
d
is
p
lace
m
en
t
o
f
r
o
ck
p
er
u
n
it
ar
ea
(
f
ee
t)
p
er
u
n
it
tim
e
(
h
o
u
r
s
)
is
k
n
o
w
n
as
th
e
p
en
etr
atio
n
r
ate
(
R
OP)
.
I
n
g
e
n
er
al,
R
OP
m
ea
s
u
r
es
th
e
b
it
r
ate
w
h
en
d
r
illi
n
g
r
o
ck
f
o
r
m
atio
n
[
1
5
]
.
T
h
er
e
ar
e
m
an
y
p
ar
a
m
eter
s
th
at
af
f
ec
t
th
e
p
en
etr
atio
n
r
ate
.
T
h
e
im
p
o
r
tan
t
p
ar
am
eter
s
u
s
ed
in
th
is
s
tu
d
y
ar
e
th
e
d
r
illi
n
g
f
lu
i
d
an
d
d
r
illi
n
g
m
ec
h
an
ical
p
ar
a
m
eter
s
[
2
7
]
,
[
2
8
]
.
T
h
e
r
esear
ch
’
s
d
ata
f
r
o
m
PT.
Geo
tam
a
E
n
er
g
i
Yo
g
y
ak
a
r
ta
a
r
e
s
ec
o
n
d
a
r
y
d
ata
f
r
o
m
a
s
in
g
le
d
r
illi
n
g
well
with
v
ar
io
u
s
d
ata
g
en
er
ated
wh
en
th
e
d
r
ill
b
it
p
en
etr
ates
th
e
r
o
ck
.
T
h
er
e
ar
e
6
7
3
8
d
ata
f
r
o
m
a
d
ep
th
o
f
6
0
f
t
to
6
7
9
3
f
t
th
at
ar
e
d
iv
id
e
d
in
to
8
0
%
tr
ain
in
g
d
ata
(
5
3
9
0
d
ata)
an
d
2
0
%
test
in
g
d
ata
(
1
3
4
8
d
ata)
.
T
o
f
o
r
ec
ast
th
e
R
OP
f
o
r
a
g
eo
th
er
m
al
d
r
illi
n
g
well
X
in
an
I
n
d
o
n
esian
ar
ea
,
n
in
e
v
ar
iab
les
wer
e
ch
o
s
en
to
b
e
u
s
ed
as
in
p
u
ts
to
th
e
f
u
zz
y
m
o
d
el
b
u
ilt
f
r
o
m
tr
ain
in
g
d
ata.
T
h
e
f
u
zz
y
m
o
d
e
l
to
esti
m
ate
R
O
P
is
b
ased
o
n
th
e
d
ep
th
(
f
t)
,
f
o
u
r
d
r
illi
n
g
m
ec
h
an
ical
p
ar
am
eter
s
(
lo
ad
o
n
d
r
ill b
it o
r
W
O
B
(
k
lb
s
)
,
r
o
tatio
n
al
s
p
ee
d
o
r
R
PM
(
r
p
m
)
,
to
r
q
u
e
(
f
tlb
)
,
an
d
s
tan
d
p
ip
e
p
r
ess
u
r
e
(
p
s
i)
,
th
r
ee
d
r
illi
n
g
f
lu
i
d
(
m
u
d
f
lo
w
in
(
g
p
m
)
,
m
u
d
tem
p
e
r
atu
r
e
in
(
°
F),
an
d
m
u
d
weig
h
t
in
(
p
p
g
)
,
a
n
d
ca
lcu
latio
n
o
f
d
r
i
llin
g
p
ar
am
eter
s
(
d
r
ill
ex
p
o
n
e
n
t)
.
Me
an
wh
ile,
th
e
o
u
tp
u
t
v
ar
ia
b
le
is
R
OP
(
f
t/h
r
s
)
.
T
ab
le
1
p
r
esen
ts
th
e
s
tatis
tical
an
aly
s
is
f
o
r
th
e
in
p
u
t a
n
d
o
u
tp
u
t v
ar
iab
les.
T
h
e
s
tep
s
ar
e
e
x
p
lain
ed
as
f
o
l
lo
w,
f
ir
s
t,
th
e
d
ata
in
p
u
ts
in
T
ab
le
1
will
b
e
clu
s
ter
ed
u
s
in
g
f
u
zz
y
c
-
m
ea
n
s
(
FC
M)
[
2
9
]
.
T
h
is
FC
M
clu
s
ter
in
g
ar
e
b
ased
o
n
[
3
0
]
th
at
ar
e
in
p
u
ttin
g
th
e
d
ata,
d
ete
r
m
in
in
g
th
e
n
u
m
b
er
o
f
clu
s
ter
s
,
d
eg
r
ee
,
m
ax
im
u
m
iter
atio
n
,
s
m
alles
t
er
r
o
r
,
in
itial
o
b
jectiv
e
f
u
n
ctio
n
,
g
en
e
r
atin
g
r
an
d
o
m
n
u
m
b
er
as
th
e
elem
en
ts
o
f
th
e
in
itial
p
ar
titi
o
n
m
atr
ix
,
ca
lcu
latin
g
th
e
s
u
m
m
atio
n
o
f
ea
ch
c
o
lu
m
n
,
ca
lc
u
latin
g
th
e
ce
n
ter
o
f
ea
ch
clu
s
ter
,
ca
lcu
latin
g
th
e
o
b
jectiv
e
f
u
n
ctio
n
o
f
ea
ch
iter
a
tio
n
,
ca
lcu
lati
n
g
th
e
m
atr
ix
p
a
r
titi
o
n
ch
an
g
e,
a
n
d
last
i
s
ch
ec
k
in
g
th
e
s
to
p
co
n
d
i
tio
n
.
Nex
t,
we
g
en
er
ated
th
e
f
u
zz
y
s
y
s
tem
th
at
is
a
k
n
o
wled
g
e
-
b
ased
s
y
s
tem
in
th
e
f
o
r
m
o
f
a
s
et
o
f
I
F
-
T
HE
N
f
u
zz
y
r
u
les
co
m
b
i
n
ed
with
th
e
p
r
o
ce
s
s
o
f
f
u
zz
if
icatio
n
,
f
u
zz
y
in
f
er
e
n
ce
,
a
n
d
d
ef
u
zz
if
icatio
n
.
W
e
u
s
e
t
h
e
Ga
u
s
s
cu
r
v
e
[
3
0
]
as
t
h
e
m
e
m
b
er
s
h
ip
f
u
n
ctio
n
in
th
e
f
u
zz
if
icatio
n
p
r
o
ce
s
s
,
th
e
f
u
zz
y
r
u
le
b
ase
w
as
b
u
ilt
b
ased
o
n
f
ir
s
t
o
r
d
e
r
Su
g
en
o
’
s
r
u
les,
a
n
d
we
u
s
e
m
u
ltip
le
f
u
zz
y
i
n
f
er
en
ce
[
2
5
]
.
Sin
g
u
la
r
v
alu
e
d
ec
o
m
p
o
s
itio
n
(
SVD)
i
s
u
s
ed
to
f
in
d
th
e
c
o
n
s
eq
u
en
t
p
ar
t
o
f
ea
c
h
f
u
zz
y
r
u
les
[
3
1
]
,
[
3
2
]
.
L
ast,
f
o
r
th
e
ac
cu
r
ac
y
test
,
we
u
s
ed
m
ea
n
a
b
s
o
lu
te
p
er
ce
n
tag
e
e
r
r
o
r
(
MA
PE)
to
v
alid
ate
th
e
f
u
zz
y
m
o
d
el
th
at
we
g
o
t
[
3
3
]
.
Fu
r
th
er
m
o
r
e
,
th
e
co
r
r
elatio
n
c
o
ef
f
icien
t
was
d
eter
m
in
e
d
b
y
Pear
s
o
n
'
s
p
r
o
d
u
ct
-
m
o
m
en
t
co
r
r
elatio
n
co
e
f
f
icien
t
[
3
4
]
-
[
3
6
]
.
T
o
s
u
m
u
p
,
th
e
m
et
h
o
d
s
o
f
t
h
is
r
esear
ch
ca
n
b
e
s
ee
n
in
Fig
u
r
e
1
.
Fig
u
r
e
1
.
R
esear
ch
f
lo
wc
h
ar
t
Evaluation Warning : The document was created with Spire.PDF for Python.
I
n
t J Po
w
E
lec
&
Dr
i Sy
s
t
I
SS
N:
2088
-
8
6
9
4
C
o
n
s
tr
u
ctio
n
o
f fu
z
z
y
s
ystem
s
b
a
s
ed
o
n
fu
z
z
y
c
-
mea
n
s
clu
s
teri
n
g
a
n
d
s
in
g
u
la
r
va
lu
e
…
(
A
g
u
s
Ma
ma
n
A
b
a
d
i
)
2193
T
ab
le
1
.
Statis
tical
d
escr
ip
tio
n
f
o
r
all
p
a
r
am
eter
s
P
a
r
a
me
t
e
r
s
D
e
p
t
h
W
O
B
R
P
M
To
r
q
u
e
M
u
d
f
l
o
w
M
u
d
t
e
m
p
e
r
a
t
u
r
e
SPP
D
r
i
l
l
e
x
p
o
n
e
n
t
M
u
d
w
e
i
g
h
t
R
O
P
M
i
n
i
m
u
m
60
0
,
0
0
1
5
9
2
.
9
1
7
6
5
2
.
0
8
0
.
0
0
0
0
8
.
4
7
4
2
.
1
2
5
M
a
x
i
m
u
m
6
7
9
3
3
8
.
7
2
6
3
1
3
0
2
7
.
2
4
2
6
6
1
9
7
.
2
3
7
4
8
1
.
7
8
2
7
1
9
4
.
0
0
0
2
7
7
.
6
4
5
D
e
v
i
a
t
i
o
n
st
a
n
d
a
r
d
1
9
4
3
.
1
4
.
0
4
1
.
4
2
6
0
8
.
6
2
0
2
.
4
2
7
.
6
8
4
3
.
4
0
.
2
2
4
.
1
5
0
.
1
M
e
a
n
3
4
2
5
.
3
3
7
4
.
7
5
7
1
4
8
.
0
2
9
5
9
4
4
.
4
7
6
8
0
1
.
7
6
5
1
3
6
.
2
7
1
2
1
2
8
.
2
2
3
0
.
6
9
5
1
3
.
3
6
0
8
6
.
9
6
2
C
o
r
r
e
l
a
t
i
o
n
c
o
e
f
f
i
c
i
e
n
t
-
0
.
2
7
2
-
0
.
3
1
7
0
.
2
3
9
-
0
.
0
6
9
0
.
2
3
5
-
0
.
0
8
7
0
.
1
2
9
-
0
.
6
0
0
-
0
.
0
6
4
1
3.
RE
SU
L
T
S AN
D
D
I
SCU
SS
I
O
N
T
h
is
r
esear
ch
u
s
ed
9
in
p
u
t
v
ar
i
ab
les
as sh
o
wn
in
T
ab
le
1
.
T
h
e
clu
s
ter
in
g
was
ca
r
r
ied
o
u
t
to
o
b
tain
th
e
clu
s
ter
ce
n
ter
f
o
r
ea
ch
v
ar
ia
b
le.
T
h
e
o
p
tim
al
n
u
m
b
er
o
f
clu
s
ter
s
was
d
eter
m
in
ed
b
y
tr
ial
an
d
er
r
o
r
to
p
r
o
v
id
e
th
e
b
est
ac
cu
r
ac
y
v
alu
e.
T
h
e
id
ea
l
n
u
m
b
er
o
f
clu
s
ter
s
was
3
7
.
T
h
e
clu
s
ter
ce
n
ter
o
b
tain
e
d
was
th
en
u
s
ed
to
id
en
tify
f
u
zz
y
s
ets
in
th
e
in
p
u
t
an
d
to
b
u
ild
f
u
zz
y
r
u
les.
T
h
er
ef
o
r
e
,
3
7
f
u
zz
y
r
u
les
wer
e
o
b
tain
ed
,
o
f
wh
ich
p
ar
am
eter
s
at
ea
ch
r
u
le’
s
co
n
s
eq
u
en
t w
er
e
d
eter
m
in
ed
b
y
t
h
e
SVD
m
eth
o
d
.
-
R
u
le
(
1
)
:
“I
f
Dep
th
is
K
1
an
d
W
eig
h
t
On
B
it
is
W
OB
8
an
d
R
o
tar
y
Sp
ee
d
is
R
PM
3
an
d
T
o
r
q
u
e
is
TO
R
Q
8
an
d
Mu
d
Flo
w
I
n
is
MFI
34
an
d
Mu
d
T
em
p
er
atu
r
e
I
n
is
M
TI
1
an
d
Stan
d
Pip
e
Pre
s
s
u
r
e
is
SPP
4
an
d
Dr
ill
E
x
p
o
n
e
n
t
is
DX
C
15
an
d
Mu
d
W
eig
h
t
I
n
is
M
W
I
1
th
en
y
1
=
9047
.
881465
+
(
0
.
020346
∗
K
)
+
(
−
11
.
573161
∗
W
OB
)
+
(
−
2
.
920472
∗
R
PM
)
+
(
−
0
.
272039
∗
TO
R
Q
)
+
(
−
4
.
254747
∗
MFI
)
+
(
16
.
471228
∗
M
TI
)
+
(
0
.
312322
∗
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ased
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ig
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e
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ar
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at
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o
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atter
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ased
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r
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r
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r
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th
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tu
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d
ata
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n
tr
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n
d
test
in
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d
ata
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s
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a
f
u
zz
y
s
y
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tem
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r
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r
r
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OP p
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d
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ata
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I
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w
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lec
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ak
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if
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ased
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k
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.
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c
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n
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c
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tac
ted
a
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re
sp
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ti
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y
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x
p
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in
m
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rre
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tl
y
,
h
e
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in
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c
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.
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