pilot field development
TRANSCRIPT
NET ZERO BASINPilot field development
1
● Fully appraised, seven reservoir penetrations, three tested wells, core and fluid samples held by Orcadian, two high quality 3D seismic surveys
● Very high quality sandstone turbidite reservoir, 34% porosity, 2 to 10 darcies of permeability
● Significant oil in place: 263 MMbbls; audited 2P reserve of 79 MMbbls, based on a low salinity polymer flood of the reservoir
● Variable quality oil from 12º to 17º API, 160 cP to 1,200 cP
● Shallow water (c. 80m), 140 kms due East from Aberdeen, c. 40 kms from Gannet et al
2
Pilot field summaryWest East21/27a-6
500m
50 m
Sec
TWT
DataprovidedcourtesyofWesternGeco
5 Reserves Summary
Pilot and Pilot South
Volumetric calculations have been undertaken for the Pilot discovery. A most likely STOIIP for Pilot and Pilot South combined of 263 MMstb was estimated, uncertainty assessments suggested a range of +/-8%. This is a relatively narrow range, and reflects the fact the discovery is well appraised and seismic imaging is of high quality. A hydrocarbon pore thickness map was created as part of the volumetric calculations, see Fig. 5.1.
Fig. 5.1 Hydrocarbon Pore Thickness Map
HCPV
21/27a-6
Pilot Static Model Peer Review 78
Pilot field development plan
3
FPSO WHPJack-upFPP
● Many opportunities to reduce emissions identified
● Integration of aggressive process heat management with high efficiency back-up power generation and electrification has the potential to drive emissions down by over 80%
● Local wind farm power, with highly efficient back-up gas engines, reduces emissions as low as connection to a future grid with half of today’s CO2 intensity
4
A project delivering on the Government’s Net Zero agenda
Kg
CO
2/bb
l
0
5
10
15
20
25
30
35
Typical viscous oil
North Sea 2018
average
Pilot waterflood
Polymer flood
Process & power
generation optimised
Grid from
year 2
Single wind
turbine
Two wind
turbines
21
30
1.42.60.45.9
14.4
24.7
Scope 1 Scope 2 Benchmarks
Estimates from recently submitted CSR Addendum prepared with Crondall Energy. These numbers are CO2e
Shorter field life and lower fluid
handling
FPP wind and wave power unit
Pilot field development
Heat pumps and reciprocating gas
engines
2.3
● Fluid handling requirements massively reduced by using polymer
● Field life significantly shortened with polymer
● Pumping wells and injecting fluid are the key drivers of CO2 emissions
● Polymer boosts recovery so there are more barrels produced in less time and for much less energy
● Polymer use significantly enhances project economics while minimising environmental impacts
5
Why polymer reduces CO2
0
50000
100000
150000
200000
250000
Water Flood
0
50000
100000
150000
200000
250000
Polymer Flood
0
20
40
60
80
100
0 200 400 600 800 1000 1200
Oil R
ecov
ered
, MM
bbls
Water Injected, MMbbls
Polymer Flood
Water Flood
Polymer Flood
Water Flood
Wate
rflo
od
Modeling
Usin
gD
arc
y-T
ype
Sim
ula
tions
Met
hod
olog
y.T
he
ob
ject
ive
of
this
sub
sect
ion
isto
ver
ify
wh
eth
erth
em
ult
iph
ase
exte
nsi
on
of
Dar
cy’s
law
can
pre
dic
tth
ev
isco
us-
fin
ger
ing
pat
tern
so
bse
rved
exp
erim
enta
lly
.C
lear
ly,
aco
nti
nu
um
Dar
cy-t
yp
efo
rmu
lati
on
isn
ot
app
rop
riat
eif
vis
cou
sfi
ng
ers
are
trig
-g
ered
bel
ow
the
scal
eo
fa
few
po
resi
zes,
wh
erea
sit
ism
ore
lik
ely
tob
ev
alid
wh
enfi
ng
ers
are
gen
erat
edat
am
acro
sco
pic
scal
e.N
ever
thel
ess,
ver
yfe
wv
alid
atio
nst
ud
ies
are
avai
lab
lein
the
lite
ratu
re.
Fro
mth
eX
-ray
imag
esat
earl
yti
mes
,th
ev
isco
us
fin
ger
sh
ave
afi
ne
den
dri
tic
asp
ect
and
aty
pic
alw
idth
of
afe
wm
illi
met
ers.
Th
eref
ore
,w
ed
on
ot
exp
ect
aD
arcy
-ty
pe
mo
del
toca
ptu
reth
eex
per
i-m
enta
lfi
ng
erin
gp
atte
rns
accu
rate
ly,
bu
tw
ew
ou
ldli
ke
tov
erif
yh
ow
clo
sely
itca
nre
pro
du
ceth
ose
pat
tern
s.In
this
con
tex
t,th
em
ost
rele
van
tst
ud
yis
that
of
Ria
zet
al.
(20
07
),w
her
ese
ver
alex
per
imen
tsw
ere
per
form
edo
na
stro
ng
lyw
ater
-w
etB
erea
core
sam
ple
,fi
rst
tom
easu
rest
ead
y-s
tate
rela
tiv
ep
erm
eab
ilit
yfu
nct
ion
san
dth
ento
mea
sure
satu
rati
on
pro
file
san
do
ilre
-co
ver
yd
uri
ng
un
stea
dy
-sta
ted
isp
lace
men
ts.
Dif
fere
nt
oil
vis
cosi
ties
up
to3
03
cpan
din
ject
ion
rate
su
pto
3cm
3/m
inw
ere
use
dto
iden
-ti
fyth
eo
nse
to
fin
stab
ilit
y,
wh
ich
was
corr
ectl
yp
red
icte
db
yth
eco
nv
enti
on
alD
arcy
-ty
pe
mo
del
dep
end
ent
on
stea
dy
-sta
tere
lati
ve
per
mea
bil
itie
s.H
ow
ever
,th
eav
erag
esa
tura
tio
np
rofi
les
of
the
un
stab
leex
per
imen
tsco
uld
no
tb
ere
pro
du
ced
exp
lici
tly
by
hig
h-r
eso
lu-
tio
nD
arcy
-ty
pe
sim
ula
tio
ns
mo
del
ing
vis
cou
sfi
ng
ers.
Th
us,
itw
asco
ncl
ud
edth
atth
eco
nti
nu
um
Dar
cy-t
yp
em
od
eld
oes
no
tw
ell
pre
-d
ict
the
flo
wre
gim
ew
ith
full
yd
evel
op
edin
stab
ilit
ies.
InS
har
ma
etal
.(2
01
2),
ano
ther
stu
dy
was
per
form
edo
nm
ild
lyw
ater
-wet
2D
mic
rom
od
els.
Th
eav
erag
esa
tura
tio
np
rofi
les
ob
tain
edfr
om
the
wat
erfl
oo
din
go
fv
isco
us
oil
sw
ere
bet
ter
rep
rod
uce
db
ya
scal
ing
law
dep
end
ent
on
stat
isti
cal
theo
ryra
ther
than
by
aB
uck
ley
-Lev
eret
tp
rofi
le,
bu
tn
oat
tem
pt
was
mad
eto
sim
ula
teth
ed
isp
lace
men
tw
ith
a2
DD
arcy
-ty
pe
mo
del
.In
con
tras
tw
ith
the
pre
vio
usl
yd
iscu
ssed
stu
die
s,th
eex
per
imen
tsco
nsi
der
edin
this
wo
rkw
ere
per
form
edu
nd
ern
on
wat
er-w
etco
n-
dit
ion
san
du
sin
gev
enh
igh
ero
ilv
isco
siti
es.A
sm
enti
on
edin
the
Intr
od
uct
ion
sect
ion
,th
issh
ou
ldle
adto
mo
rese
ver
ev
isco
us
fin
ger
ing
.N
ever
thel
ess,
am
uch
low
erin
ject
ion
vel
oci
tyw
asu
sed
inth
ese
exp
erim
ents
com
par
edw
ith
tho
seo
fR
iaz
etal
.(2
00
7),
wh
ich
sho
uld
atle
ast
par
tial
lyo
ffse
tth
eef
fect
so
fh
igh
erv
isco
sity
rati
oan
dn
on
wat
er-w
etco
nd
itio
ns.
Ev
enif
X-r
ayim
ages
sug
ges
tst
ron
gfi
ng
erin
gef
fect
s,it
isw
ort
hw
hil
eto
test
the
val
idit
yo
fth
eg
ener
aliz
edD
arcy
’sla
wo
na
set
of
exp
erim
ents
that
dif
fers
sig
nifi
can
tly
fro
mo
ther
pu
bli
shed
stu
die
s.In
the
foll
ow
ing
,we
app
lya
sim
ilar
met
ho
do
log
yto
that
of
Ria
zet
al.(
20
07
),b
ut
bec
ause
of
the
abse
nce
of
stea
dy
-sta
tere
lati
ve
per
-m
eab
ilit
ym
easu
rem
ents
,w
eu
sea
3D
qu
asis
tati
cP
NM
toin
fer
rela
tiv
ep
erm
eab
ilit
yan
dca
pil
lary
pre
ssu
recu
rves
.B
ecau
seth
ero
ckw
etta
bil
ity
isn
ot
kn
ow
np
reci
sely
,w
eas
sum
eth
atth
eag
ing
pro
cess
has
led
toa
wet
tab
ilit
yst
ate
ran
gin
gfr
om
mil
dly
wat
er-w
etto
mil
dly
oil
-wet
,in
clu
din
gin
term
edia
te-w
etan
dm
ixed
-wet
stat
es.
Asc
reen
ing
stu
dy
isp
erfo
rmed
wit
hth
eq
uas
ista
tic
PN
Mco
de
tog
en-
erat
em
ult
iple
sets
of
rela
tiv
ep
erm
eab
ilit
yan
dca
pil
lary
pre
ssu
recu
rves
.E
ach
set
of
curv
esis
then
pro
vid
edas
anin
pu
tto
ou
rp
aral
lel
IHR
RS
(Mo
nco
rge
etal
.2
01
2;
Jau
reet
al.
20
14
)th
atis
run
intw
od
imen
sio
ns
wit
ha
hig
h-r
eso
luti
on
dis
cret
izat
ion
.A
lth
ou
gh
dir
ect
mea
sure
men
to
fst
ead
y-s
tate
rela
tiv
ep
erm
eab
ilit
ies
iso
fco
urs
ep
refe
rab
le,
this
app
roac
his
dee
med
use
ful
wh
ensu
chd
ata
are
no
tav
aila
ble
.
Qu
asis
tati
cP
NM
.T
he
3D
PN
Mis
dir
ectl
yex
trac
ted
fro
m3
Dm
icro
com
pu
ted
-to
mo
gra
ph
yim
ages
of
asa
mp
leo
fB
enth
eim
ersa
nd
-st
on
e.A
max
imal
bal
lal
go
rith
m(S
ilin
and
Pat
zek
20
06
;D
on
gan
dB
lun
t2
00
9)
isap
pli
edto
reco
nst
ruct
an
etw
ork
equ
ival
ent
inte
rms
of
top
olo
gy
and
tran
smis
sib
ilit
y.
Th
ere
con
stru
cted
po
ren
etw
ork
con
tain
s6
1,2
14
po
res
and
15
1,1
86
thro
ats.
Eac
hp
ore
/th
roat
isch
arac
-te
rize
db
yan
insc
rib
edra
diu
sth
atco
ntr
ols
the
thre
sho
lden
try
pre
ssu
re,
afl
ow
con
du
ctan
ceth
atd
efin
esth
elo
cal
pre
ssu
red
rop
cau
sed
by
vis
cou
sef
fect
and
flu
x,
anef
fect
ive
len
gth
,an
da
vo
lum
e.M
ore
det
ails
of
the
extr
acte
dp
ore
net
wo
rkca
nb
efo
un
din
Tab
le2,
and
anil
lust
rati
on
isp
rov
ided
inF
ig.5
.F
or
ou
rq
uas
ista
tic
po
re-n
etw
ork
sim
ula
tio
ns,
we
use
the
mo
del
of
Val
vat
ne
and
Blu
nt
(20
04
),w
hic
his
also
use
dto
ver
ify
the
qu
al-
ity
of
the
gen
erat
edn
etw
ork
.T
od
oth
is,
we
com
pu
teth
eca
pil
lary
pre
ssu
rean
dth
ere
lati
ve
per
mea
bil
ity
curv
esth
atw
eco
mp
are
wit
hex
per
imen
tal
mea
sure
men
ts.
Idea
lly
,w
ew
ou
ldli
ke
tou
sem
easu
rem
ents
mad
eo
nth
esa
mp
les
of
Ex
per
imen
tN
os.
2,
6,
and
7,
bu
tsu
chd
ata
are
no
tav
aila
ble
,an
dw
eth
eref
ore
use
mea
sure
men
tsfr
om
the
lite
ratu
re(O
ren
etal
.1
99
8).
Av
ery
go
od
agre
emen
tis
fou
nd
Clo
se to
end
WF
End
WF
End
WF
PV
I = 0
.15
PV
I = 0
.15
0.9
0.8
0.7
0.6
0.5
0.4
0.3
0.8
0.7
0.6
0.5
0.4
0.3
0.8
0.7
0.6
0.5
0.4
0.3
0.2
PV
I = 0
.49
PV
I = 0
.19
PV
I = 0
.58
PV
I = 0
.5
(a)
(b)
(c)
Fig
.4—
Oil
-satu
rati
on
map
sat
the
en
do
fw
ate
rflo
od
ing
(WF
)an
dd
uri
ng
po
lym
er
flo
od
ing
for
(a)
Exp
eri
men
tN
o.2,(b
)E
xp
eri
men
tN
o.6
,an
d(c
)E
xp
eri
men
tN
o.7.
J182638
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11
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42018
SP
EJo
urn
al
Wate
rflo
od
Modeling
Usin
gD
arc
y-T
ype
Sim
ula
tions
Met
hod
olog
y.T
he
ob
ject
ive
of
this
sub
sect
ion
isto
ver
ify
wh
eth
erth
em
ult
iph
ase
exte
nsi
on
of
Dar
cy’s
law
can
pre
dic
tth
ev
isco
us-
fin
ger
ing
pat
tern
so
bse
rved
exp
erim
enta
lly
.C
lear
ly,
aco
nti
nu
um
Dar
cy-t
yp
efo
rmu
lati
on
isn
ot
app
rop
riat
eif
vis
cou
sfi
ng
ers
are
trig
-g
ered
bel
ow
the
scal
eo
fa
few
po
resi
zes,
wh
erea
sit
ism
ore
lik
ely
tob
ev
alid
wh
enfi
ng
ers
are
gen
erat
edat
am
acro
sco
pic
scal
e.N
ever
thel
ess,
ver
yfe
wv
alid
atio
nst
ud
ies
are
avai
lab
lein
the
lite
ratu
re.
Fro
mth
eX
-ray
imag
esat
earl
yti
mes
,th
ev
isco
us
fin
ger
sh
ave
afi
ne
den
dri
tic
asp
ect
and
aty
pic
alw
idth
of
afe
wm
illi
met
ers.
Th
eref
ore
,w
ed
on
ot
exp
ect
aD
arcy
-ty
pe
mo
del
toca
ptu
reth
eex
per
i-m
enta
lfi
ng
erin
gp
atte
rns
accu
rate
ly,
bu
tw
ew
ou
ldli
ke
tov
erif
yh
ow
clo
sely
itca
nre
pro
du
ceth
ose
pat
tern
s.In
this
con
tex
t,th
em
ost
rele
van
tst
ud
yis
that
of
Ria
zet
al.
(20
07
),w
her
ese
ver
alex
per
imen
tsw
ere
per
form
edo
na
stro
ng
lyw
ater
-w
etB
erea
core
sam
ple
,fi
rst
tom
easu
rest
ead
y-s
tate
rela
tiv
ep
erm
eab
ilit
yfu
nct
ion
san
dth
ento
mea
sure
satu
rati
on
pro
file
san
do
ilre
-co
ver
yd
uri
ng
un
stea
dy
-sta
ted
isp
lace
men
ts.
Dif
fere
nt
oil
vis
cosi
ties
up
to3
03
cpan
din
ject
ion
rate
su
pto
3cm
3/m
inw
ere
use
dto
iden
-ti
fyth
eo
nse
to
fin
stab
ilit
y,
wh
ich
was
corr
ectl
yp
red
icte
db
yth
eco
nv
enti
on
alD
arcy
-ty
pe
mo
del
dep
end
ent
on
stea
dy
-sta
tere
lati
ve
per
mea
bil
itie
s.H
ow
ever
,th
eav
erag
esa
tura
tio
np
rofi
les
of
the
un
stab
leex
per
imen
tsco
uld
no
tb
ere
pro
du
ced
exp
lici
tly
by
hig
h-r
eso
lu-
tio
nD
arcy
-ty
pe
sim
ula
tio
ns
mo
del
ing
vis
cou
sfi
ng
ers.
Th
us,
itw
asco
ncl
ud
edth
atth
eco
nti
nu
um
Dar
cy-t
yp
em
od
eld
oes
no
tw
ell
pre
-d
ict
the
flo
wre
gim
ew
ith
full
yd
evel
op
edin
stab
ilit
ies.
InS
har
ma
etal
.(2
01
2),
ano
ther
stu
dy
was
per
form
edo
nm
ild
lyw
ater
-wet
2D
mic
rom
od
els.
Th
eav
erag
esa
tura
tio
np
rofi
les
ob
tain
edfr
om
the
wat
erfl
oo
din
go
fv
isco
us
oil
sw
ere
bet
ter
rep
rod
uce
db
ya
scal
ing
law
dep
end
ent
on
stat
isti
cal
theo
ryra
ther
than
by
aB
uck
ley
-Lev
eret
tp
rofi
le,
bu
tn
oat
tem
pt
was
mad
eto
sim
ula
teth
ed
isp
lace
men
tw
ith
a2
DD
arcy
-ty
pe
mo
del
.In
con
tras
tw
ith
the
pre
vio
usl
yd
iscu
ssed
stu
die
s,th
eex
per
imen
tsco
nsi
der
edin
this
wo
rkw
ere
per
form
edu
nd
ern
on
wat
er-w
etco
n-
dit
ion
san
du
sin
gev
enh
igh
ero
ilv
isco
siti
es.A
sm
enti
on
edin
the
Intr
od
uct
ion
sect
ion
,th
issh
ou
ldle
adto
mo
rese
ver
ev
isco
us
fin
ger
ing
.N
ever
thel
ess,
am
uch
low
erin
ject
ion
vel
oci
tyw
asu
sed
inth
ese
exp
erim
ents
com
par
edw
ith
tho
seo
fR
iaz
etal
.(2
00
7),
wh
ich
sho
uld
atle
ast
par
tial
lyo
ffse
tth
eef
fect
so
fh
igh
erv
isco
sity
rati
oan
dn
on
wat
er-w
etco
nd
itio
ns.
Ev
enif
X-r
ayim
ages
sug
ges
tst
ron
gfi
ng
erin
gef
fect
s,it
isw
ort
hw
hil
eto
test
the
val
idit
yo
fth
eg
ener
aliz
edD
arcy
’sla
wo
na
set
of
exp
erim
ents
that
dif
fers
sig
nifi
can
tly
fro
mo
ther
pu
bli
shed
stu
die
s.In
the
foll
ow
ing
,we
app
lya
sim
ilar
met
ho
do
log
yto
that
of
Ria
zet
al.(
20
07
),b
ut
bec
ause
of
the
abse
nce
of
stea
dy
-sta
tere
lati
ve
per
-m
eab
ilit
ym
easu
rem
ents
,w
eu
sea
3D
qu
asis
tati
cP
NM
toin
fer
rela
tiv
ep
erm
eab
ilit
yan
dca
pil
lary
pre
ssu
recu
rves
.B
ecau
seth
ero
ckw
etta
bil
ity
isn
ot
kn
ow
np
reci
sely
,w
eas
sum
eth
atth
eag
ing
pro
cess
has
led
toa
wet
tab
ilit
yst
ate
ran
gin
gfr
om
mil
dly
wat
er-w
etto
mil
dly
oil
-wet
,in
clu
din
gin
term
edia
te-w
etan
dm
ixed
-wet
stat
es.
Asc
reen
ing
stu
dy
isp
erfo
rmed
wit
hth
eq
uas
ista
tic
PN
Mco
de
tog
en-
erat
em
ult
iple
sets
of
rela
tiv
ep
erm
eab
ilit
yan
dca
pil
lary
pre
ssu
recu
rves
.E
ach
set
of
curv
esis
then
pro
vid
edas
anin
pu
tto
ou
rp
aral
lel
IHR
RS
(Mo
nco
rge
etal
.2
01
2;
Jau
reet
al.
20
14
)th
atis
run
intw
od
imen
sio
ns
wit
ha
hig
h-r
eso
luti
on
dis
cret
izat
ion
.A
lth
ou
gh
dir
ect
mea
sure
men
to
fst
ead
y-s
tate
rela
tiv
ep
erm
eab
ilit
ies
iso
fco
urs
ep
refe
rab
le,
this
app
roac
his
dee
med
use
ful
wh
ensu
chd
ata
are
no
tav
aila
ble
.
Qu
asis
tati
cP
NM
.T
he
3D
PN
Mis
dir
ectl
yex
trac
ted
fro
m3
Dm
icro
com
pu
ted
-to
mo
gra
ph
yim
ages
of
asa
mp
leo
fB
enth
eim
ersa
nd
-st
on
e.A
max
imal
bal
lal
go
rith
m(S
ilin
and
Pat
zek
20
06
;D
on
gan
dB
lun
t2
00
9)
isap
pli
edto
reco
nst
ruct
an
etw
ork
equ
ival
ent
inte
rms
of
top
olo
gy
and
tran
smis
sib
ilit
y.
Th
ere
con
stru
cted
po
ren
etw
ork
con
tain
s6
1,2
14
po
res
and
15
1,1
86
thro
ats.
Eac
hp
ore
/th
roat
isch
arac
-te
rize
db
yan
insc
rib
edra
diu
sth
atco
ntr
ols
the
thre
sho
lden
try
pre
ssu
re,
afl
ow
con
du
ctan
ceth
atd
efin
esth
elo
cal
pre
ssu
red
rop
cau
sed
by
vis
cou
sef
fect
and
flu
x,
anef
fect
ive
len
gth
,an
da
vo
lum
e.M
ore
det
ails
of
the
extr
acte
dp
ore
net
wo
rkca
nb
efo
un
din
Tab
le2,
and
anil
lust
rati
on
isp
rov
ided
inF
ig.5
.F
or
ou
rq
uas
ista
tic
po
re-n
etw
ork
sim
ula
tio
ns,
we
use
the
mo
del
of
Val
vat
ne
and
Blu
nt
(20
04
),w
hic
his
also
use
dto
ver
ify
the
qu
al-
ity
of
the
gen
erat
edn
etw
ork
.T
od
oth
is,
we
com
pu
teth
eca
pil
lary
pre
ssu
rean
dth
ere
lati
ve
per
mea
bil
ity
curv
esth
atw
eco
mp
are
wit
hex
per
imen
tal
mea
sure
men
ts.
Idea
lly
,w
ew
ou
ldli
ke
tou
sem
easu
rem
ents
mad
eo
nth
esa
mp
les
of
Ex
per
imen
tN
os.
2,
6,
and
7,
bu
tsu
chd
ata
are
no
tav
aila
ble
,an
dw
eth
eref
ore
use
mea
sure
men
tsfr
om
the
lite
ratu
re(O
ren
etal
.1
99
8).
Av
ery
go
od
agre
emen
tis
fou
nd
Clo
se to
end
WF
End
WF
End
WF
PV
I = 0
.15
PV
I = 0
.15
0.9
0.8
0.7
0.6
0.5
0.4
0.3
0.8
0.7
0.6
0.5
0.4
0.3
0.8
0.7
0.6
0.5
0.4
0.3
0.2
PV
I = 0
.49
PV
I = 0
.19
PV
I = 0
.58
PV
I = 0
.5
(a)
(b)
(c)
Fig
.4—
Oil
-satu
rati
on
map
sat
the
en
do
fw
ate
rflo
od
ing
(WF
)an
dd
uri
ng
po
lym
er
flo
od
ing
for
(a)
Exp
eri
men
tN
o.2,(b
)E
xp
eri
men
tN
o.6
,an
d(c
)E
xp
eri
men
tN
o.7.
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File
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42018
SP
EJo
urn
al
Production profiles for polymer flood and water flood from Orcadian Energy reservoir simulations; plot of recoverable oil vs. water injected based upon the same simulations.
0
5,000
10,000
15,000
20,000
25,000
Year 1 Year 2 Year 3 Year 4 Year 5 Year 6 Year 7 Year 8 Year 9 Year 10 Year 11
Pow
er d
eman
d kW
Power Demand kW
FPSO Heat pumps Jack-up
WHP-A (South) WHP-B (North) Transfer Pump
0
1
2
3
4
5
6
7
Year 1 Year 2 Year 3 Year 4 Year 5 Year 6 Year 7 Year 8 Year 9 Year 10Year 11
Gas
Dem
and
mm
scf/d
ay
Gas Consumption
Power Generation Average Offloads
0
5,000
10,000
15,000
20,000
25,000
Year 1 Year 2 Year 3 Year 4 Year 5 Year 6 Year 7 Year 8 Year 9 Year 10 Year 11
Pow
er k
W
Energy Sources
FPP Electrical Supplemental heat
Gas Engine power Gas Supplemntal Heat
-3
-2
-1
0
1
2
3
4
5
6
7
Year 1 Year 2 Year 3 Year 4 Year 5 Year 6 Year 7 Year 8 Year 9 Year 10Year 11
Gas
flow
s (m
msc
f/day
) an
d G
as in
Pilo
t Ea
st (
bcf)
Pilot East gas balance
Import gas To Gas storage
6
Emissions, by cause and scope CSR initial polymer scenario
0
2,000
4,000
6,000
8,000
10,000
12,000
14,000
16,000
18,000
20,000
Year 1 Year 2 Year 3 Year 4 Year 5 Year 6 Year 7 Year 8 Year 9Po
wer
dem
and
kW
Power Demand kW
FPSO JACK UP WHP-A (South) WHP-B (North) Fluids Transfer Pump (WHP)
0
2,000
4,000
6,000
8,000
10,000
12,000
14,000
16,000
18,000
20,000
Year 1 Year 2 Year 3 Year 4 Year 5 Year 6 Year 7 Year 8 Year 9
Pow
er d
eman
d kW
Power Demand kW
FPSO JACK UP WHP-A (South) WHP-B (North) Fluids Transfer Pump (WHP)
● Base case from September 2020 CSR submission, focus had been on quantifying rather than driving down emissions (included some worst case assumptions e.g. downhole pump power demands)
● Adoption of polymer flood had reduced both fluid handling and field life
0
2,000
4,000
6,000
8,000
10,000
12,000
14,000
16,000
18,000
20,000
Year 1 Year 2 Year 3 Year 4 Year 5 Year 6 Year 7 Year 8 Year 9
Powe
r dem
and k
W
Power Demand kW
FPSO JACK UP WHP-A (South) WHP-B (North) Fluids Transfer Pump (WHP)
● Industrial heat pumps
● Energy recovery systems
7
Process optimisation
● Wartsila, dual fuel gas reciprocating engines
● “Smart heat recovery” system
8
Power Generation
0
5,000
10,000
15,000
20,000
25,000
Year 1 Year 2 Year 3 Year 4 Year 5 Year 6 Year 7 Year 8 Year 9 Year 10 Year 11
Pow
er d
eman
d kW
Power Demand kW
FPSO Heat pumps Jack-up
WHP-A (South) WHP-B (North) Transfer Pump
0
1
2
3
4
5
6
7
Year 1 Year 2 Year 3 Year 4 Year 5 Year 6 Year 7 Year 8 Year 9 Year 10Year 11
Gas
Dem
and
mm
scf/d
ay
Gas Consumption
Power Generation Average Offloads
0
5,000
10,000
15,000
20,000
25,000
Year 1 Year 2 Year 3 Year 4 Year 5 Year 6 Year 7 Year 8 Year 9 Year 10 Year 11
Pow
er k
W
Energy Sources
FPP Electrical Supplemental heat
Gas Engine power Gas Supplemntal Heat
-3
-2
-1
0
1
2
3
4
5
6
7
Year 1 Year 2 Year 3 Year 4 Year 5 Year 6 Year 7 Year 8 Year 9 Year 10Year 11
Gas
flow
s (m
msc
f/day
) an
d G
as in
Pilo
t Ea
st (
bcf)
Pilot East gas balance
Import gas To Gas storage
9
Emissions, by cause and scope Process optimisations and recips
0
2,000
4,000
6,000
8,000
10,000
12,000
14,000
16,000
18,000
20,000
Year 1 Year 2 Year 3 Year 4 Year 5 Year 6 Year 7 Year 8 Year 9
Pow
er d
eman
d kW
Power Demand kW
FPSO JACK UP WHP-A (South) WHP-B (North) Fluids Transfer Pump (WHP)
● Crondall reshaped process and power generation with the intention of driving down emissions
● The combination of heat pumps and high efficiency generation is the key to reducing emissions
0
2,000
4,000
6,000
8,000
10,000
12,000
14,000
16,000
18,000
20,000
Year 1 Year 2 Year 3 Year 4 Year 5 Year 6 Year 7 Year 8 Year 9Po
wer
dem
and
kW
Power Demand kW
FPSO JACK UP WHP-A (South) WHP-B (North) Fluids Transfer Pump (WHP)
Intro
SYSTEM OVERVIEW
10
• Platform – North Sea design for 15m Hs sites – Panel based semi submersible – Makes use of harbour effect for transfer – Hydrogen energy storage can be accommodated
• Turret Mooring System – Vanes into wave direction • WTG yaws independently
– Multi point catenary mooring system – Disconnectable if required
• Wind Turbine Generator (WTG) – Turbine agnostic – 12 to 15MW (to be assessed)
• Wave Energy Convertor – 4 off, from 500kW to 1MW each (to suit site) – Wave energy converted to motion by absorber – Mechanical motion converted to electricity via oil
hydraulic Power Take Off (PTO) system
11
Emissions, by cause and scope Local wind and wave power
0
5,000
10,000
15,000
20,000
25,000
Year 1 Year 2 Year 3 Year 4 Year 5 Year 6 Year 7 Year 8 Year 9 Year 10 Year 11
Pow
er d
eman
d kW
Power Demand kW
FPSO Heat pumps Jack-up
WHP-A (South) WHP-B (North) Transfer Pump
0
1
2
3
4
5
6
7
Year 1 Year 2 Year 3 Year 4 Year 5 Year 6 Year 7 Year 8 Year 9 Year 10Year 11
Gas
Dem
and
mm
scf/d
ay
Gas Consumption
Power Generation Average Offloads
0
5,000
10,000
15,000
20,000
25,000
Year 1 Year 2 Year 3 Year 4 Year 5 Year 6 Year 7 Year 8 Year 9 Year 10 Year 11
Pow
er k
W
Energy Sources
FPP Electrical Supplemental heat
Gas Engine power Gas Supplemntal Heat
-3
-2
-1
0
1
2
3
4
5
6
7
Year 1 Year 2 Year 3 Year 4 Year 5 Year 6 Year 7 Year 8 Year 9 Year 10Year 11
Gas
flow
s (m
msc
f/day
) an
d G
as in
Pilo
t Ea
st (
bcf)
Pilot East gas balance
Import gas To Gas storage
0
2,000
4,000
6,000
8,000
10,000
12,000
14,000
16,000
18,000
20,000
Year 1 Year 2 Year 3 Year 4 Year 5 Year 6 Year 7 Year 8 Year 9Po
wer
dem
and
kW
Power Demand kW
FPSO JACK UP WHP-A (South) WHP-B (North) Fluids Transfer Pump (WHP)
0
2,000
4,000
6,000
8,000
10,000
12,000
14,000
16,000
18,000
20,000
Year 1 Year 2 Year 3 Year 4 Year 5 Year 6 Year 7 Year 8 Year 9
Pow
er d
eman
d kW
Power Demand kW
FPSO JACK UP WHP-A (South) WHP-B (North) Fluids Transfer Pump (WHP)
● Local renewable power eliminates the need for a gas import pipeline and halves emissions again
● Unit will be a 12MW wind turbine with a 2MW wave power generator from FPP
● To be comparable with this Stanford University dataset, to our Scope 1 & 2 emissions we have added:
● Scope 3 emissions from offshore logistics, oil transportation to the refinery, and polymer production
● Estimates of emissions during the exploration and development phases (done using the Stanford tool)
● Pilot field comparable emissions are 1.4 gCO2eq/MJ with a single wind turbine
12
Comparison with global oil production emissions Viscous oil doesn’t have to mean high emissions
Masnadi et al (2018). Global carbon intensity of crude oil production. Science. 361. 851-853. 10.1126/science.aar6859.
Pilot emissions will lie in the lowest 5% of
global oil production
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