time series analysis of energy production and associated ...10.1007/s00267-017-0925... · pierre et...
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Pierre et al. — Time Series Analysis of Energy Production and Associated Landscape Fragmentation in the Eagle Ford Shale Play
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Supplemental Figures and Tables
Time Series Analysis of Energy Production and Associated Landscape
Fragmentation in the Eagle Ford Shale Play
Jon Paul Pierre1,†, Michael H. Young1, Brad D. Wolaver1, John R. Andrews1, and Caroline L.
Breton1
1Bureau of Economic Geology, Jackson School of Geosciences, The University of Texas at Austin,
Austin, Texas 78758, USA
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Pierre et al. — Time Series Analysis of Energy Production and Associated Landscape Fragmentation in the Eagle Ford Shale Play
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Supplemental Figures
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Pierre et al. — Time Series Analysis of Energy Production and Associated Landscape Fragmentation in the Eagle Ford Shale Play
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Fig. S1. Omernik ecoregions in study area (Omernik and Griffith, 2014).
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Pierre et al. — Time Series Analysis of Energy Production and Associated Landscape Fragmentation in the Eagle Ford Shale Play
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Fig. S2. Approach used to identify landscape alteration from oil and gas infrastructure development.
Acquired NAIP for each time
series
Sorted wells to correlate with NAIP acquisition
dates
Classified NAIP Image
for each time step
Spatially correlated wells with
bare-ground areas only
Extracted areas
identified as well pads
Calculated well-pad and
created maps
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Pierre et al. — Time Series Analysis of Energy Production and Associated Landscape Fragmentation in the Eagle Ford Shale Play
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Fig. S3. Percentage of county area altered by well-pad infrastructure. (a) 2008, (b) 2010, (c)
2012, and (d) 2014. Data sorted by quantiles.
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Pierre et al. — Time Series Analysis of Energy Production and Associated Landscape Fragmentation in the Eagle Ford Shale Play
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Fig. S4. A comparison of landscape alteration between west and east for each period by each
type of alteration. Values above bars indicate landscape alteration areas (km2).
18
50
68
25
36
6168
47
115109
49
158
8
1826
13 11
2432
17
49 52
15
67
0
20
40
60
80
100
120
140
160
Pads2008
Pipes2008
TotalO&G2008
Pads2010
Pipes2010
TotalO&G2010
Pads2012
Pipes2012
TotalO&G2012
Pads2014
Pipes2014
TotalO&G2014
Landscape A
ltera
tion (
km
2)
West East
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Fig. S5. Intersection of O&G infrastructure development with previous-period core areas (left
vertical axis). Black line represents total alteration (right vertical axis). Note that axes have
different scales.
0
50
100
150
200
250
0
10
20
30
40
50
60
70
80
90
2008 2010 2012 2014
Tota
l A
ltera
tion (
km
2)
Pad a
nd/o
r P
ipelin
e O
verlap (
km
2)
Time Period
Pad Overlap with PreviousCore
Pipeline Overlap withPrevious Core
Total alteration
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Fig. S6. Changes in core areas compared to previous period. Dark orange indicates core-area loss
compared to previous periods; pale yellow represents core-area recovery compared to previous
periods. (a) 2008, (b) 2010, (c) 2012, and (d) 2014. Data sorted by quantiles.
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Fig. S7. Comparison of cumulative core-area revegetation and alteration, as of 2014 period, for
eastern and western portions of study area.
0
500
1,000
1,500
2,000
2,500
Core revegetation since 2008 Core alteration since 2006
Co
re A
rea R
ev
eg
eta
tio
n o
r A
ltera
tio
n (
km
2) West East
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Fig. S8. Percent of county area altered by infrastructure development (pads and pipelines). (a)
2008, (b) 2010, (c) 2012, and (d) 2014. Note that color scale is not linear. Data sorted by
quantiles.
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Fig. S9. Comparison of land use per unit of energy produced for eastern and western portions of
study area.
0
0.2
0.4
0.6
0.8
1
1.2
1.4
2008 2010 2012 2014
Lan
d-u
se i
nte
nsit
y (
km
2/m
mB
OE
)
West East
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Fig. S10. Percent of vegetation types altered in each period.
0
5
10
15
20
25
30
35
40
45
NL
EG
Fore
st
CD
Mix
ed
Fore
st
CD
Fo
rest
Gra
ssla
nd
BLE
G F
ore
st
EG
Sh
rub
Barre
n
CD
Shru
b
Ma
rsh
Ro
w C
rops
Gra
ss F
arm
Urb
an H
igh
Urb
an L
ow
Ope
n W
ate
rP
erc
en
t V
eg
eta
tio
n T
yp
e A
ltere
d 2008 2010 2012 2014
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Fig. S11. Percent of modeled land-cover types altered in eastern portion of study area.
0
10
20
30
40
50
60
70
NL
EG
Fore
st
CD
Mix
ed
Fore
st
CD
Fo
rest
Gra
ssla
nd
BLE
G F
ore
st
EG
Sh
rub
Barre
n
CD
Shru
b
Ma
rsh
Ro
w C
rops
Gra
ss F
arm
Urb
an H
igh
Urb
an L
ow
Ope
n W
ate
r
Perc
en
t V
eg
eta
tio
n T
yp
e A
lte
red 2008 2010 2012 2014
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Fig. S12. Percent of modeled land-cover types altered in western portion of study area.
0
10
20
30
40
50
60
NL
EG
Fore
st
CD
Mix
ed
Fore
st
CD
Fo
rest
Gra
ssla
nd
BLE
G F
ore
st
EG
Sh
rub
Barre
n
CD
Shru
b
Ma
rsh
Ro
w C
rops
Gra
ss F
arm
Urb
an H
igh
Urb
an L
ow
Ope
n W
ate
r
Perc
en
t V
eg
eta
tio
n T
yp
e A
ltere
d
2008 2010 2012 2014
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Pierre et al. — Time Series Analysis of Energy Production and Associated Landscape Fragmentation in the Eagle Ford Shale Play
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Fig. S13. Percent (1 ×102) of vegetation types removed in Southern Texas Plains ecoregion.
0
50
100
150
200
250
300
350
400
450
NL
EG
Fore
st
CD
Mix
ed
Fore
st
CD
Fo
rest
Gra
ssla
nd
BLE
G F
ore
st
EG
Sh
rub
CD
Shru
b
Wood
land
Ma
rsh
Sw
am
p
Barre
n
Ro
w C
rops
Gra
ss F
arm
Urb
an H
igh
Urb
an L
ow
Ope
n W
ate
r
Perc
en
t (1×
102)
Veg
eta
tio
n T
yp
es A
ltere
d
2008 2010 2012 2014
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Fig. S14 New drilling permits issued for each period for western and eastern portions of study
area. Numeric labels indicate percent increase or decrease for 2010–14.
-51%
304%
59%
-52%
211%
73%
0
1,000
2,000
3,000
4,000
5,000
6,000
7,000
8,000
9,000
2008 2010 2012 2014
New
drilli
ng p
erm
its issued
West East
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Supplemental Tables
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Table S1. 2008 unsupervised image-classification results and values used as altered landscape.
County
2008
Classes
Specified
2008
Classes
Returned
2008
Classes
Used as
Altered Special Notes
Atascosa 100 100 100 Bastrop 100 99 99 Bee 100 99 98–99 Brazos 100 75 75 Burleson 100 97 97 DeWitt 100 96 96 Dimmit 100 100 99–100 Fayette 100 100 95–100 Frio 100 100 95–100 Gonzales 100 95 95 Grimes 100 100 99–100 Karnes 100 95 92–95 La Salle 100 100 95–100 Lavaca 100 100 99–100 Lee 100 93 93 Leon 100 100 99–100 Live Oak 100 100 99–100 Madison 100 100 97–100 Maverick 100 100 95–100 McMullen 100 98 92–99 value 86 missing
Milam 100 98 98 Robertson 100 94 94 Walker 100 100 99–100 Washington 100 100 95–100 Webb V1 100 100 94–100 Webb V2 100 98 90–99 value 95 missing
Wilson 100 92 92 Zavala 100 100 90–100
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Table S2. 2010 unsupervised image-classification results and values used as altered landscape.
County
2010
Classes
Specified
2010
Classes
Returned
2010
Classes
Used as
Altered Special Notes
Atascosa 100 100 100 Bastrop 100 100 100 Bee 100 100 100 Brazos 100 100 100 Burleson 100 100 100 DeWitt 100 100 100 Dimmit 100 100 99–100 Fayette 100 100 100 Frio 100 100 95–100 Gonzales 100 100 100 Grimes 100 100 100 Karnes 100 100 100 La Salle 100 100 96–100 Lavaca 100 100 100 Lee 100 98 98 Leon 100 100 100 Live Oak 100 100 99–100 Madison 100 100 100 Maverick 100 100 95–100 McMullen 100 100 96–100 Milam 100 100 100 Robertson 100 100 100 Walker 100 100 93–100 Washington 100 100 100 Webb V1 100 100 97–100 Wilson 100 100 100 Zavala 100 100 98–100
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Table S3. 2012 unsupervised image-classification results and values used as altered landscape.
County
2012
Classes
Specified
2012
Classes
Returned
2012
Classes
Used as
Altered Special Notes
Atascosa 100 100 99–100 Bastrop 100 92 92 Bee 100 95 95–96 value 52 missing
Brazos 100 98 98 Burleson 100 100 100 DeWitt 100 89 89 Dimmit 100 100 97–100 Fayette 100 99 99 Frio 100 100 99–100 Gonzales 100 88 88 Grimes 100 100 100 Karnes 100 95 95 La Salle 100 98 98–99 value 4 missing
Lavaca 100 95 96 value 8 missing
Lee 100 90 91 value 90 missing
Leon 100 98 99 value 93 missing
Live Oak 100 100 100 Madison 100 100 100 Maverick 100 100 99–100 McMullen 100 100 99–100 Milam 100 100 100 Robertson 100 98 99 value 92 missing
Walker 100 100 100 Washington 100 98 99 value 15 missing
Webb V1 100 100 100 Wilson 100 89 89 Zavala 100 100 100
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Table S4. 2014 unsupervised image-classification results and values used as altered landscape.
County
2014
Classes
Specified
2014
Classes
Returned
2014
Classes
Used as
Altered Special Notes
Atascosa 100 100 100 Bastrop 100 97 97 Bee 100 98 98 Brazos 100 91 91 Burleson 100 91 92 value 90 missing
DeWitt 100 98 98 Dimmit 100 98 99 value 85 missing
Fayette 100 97 98 value 96 missing
Frio 100 100 98–100 Gonzales 100 94 94 Grimes 100 100 100 Karnes 100 95 93–95 La Salle 100 100 98–100 Lavaca 100 100 100 Lee 100 94 94 Leon 300 268 269 value 268 missing
Live Oak 100 100 100 Madison 100 100 99–100 Maverick 100 98 96–99 value 5 missing
McMullen 100 100 99–100 Milam 100 95 95 Robertson 100 96 96 Walker 100 98 99 value 97 missing
Washington 100 95 95 Webb V1 100 100 99–100 Wilson 100 98 98 Zavala 100 100 100
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Table S5. Baseline modeled land cover for 27-county study area.
Baseline Modeled
Land Cover Percent
Barren 2.01
BLEG Forest 5.67
CD Forest 21.34
CD Mixed Forest 5.66
CD Shrub 19.15
EG Shrub 13.02
Grass Farm 0.04
Grassland 17.11
Marsh 0.83
NLEG Forest 1.50
Open Water 1.07
Row Crops 4.51
Swamp 0.03
Urban High 1.78
Urban Low 6.26
Woodland 0.00
Note: BLEG = broadleaf evergreen, CD = cold deciduous, EG = evergreen, NLEG = needle-leaf
evergreen.
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Table S6. Oil and gas wells drilled by county.
County 2008 2010 2012 2014 Total
Atascosa 53 55 273 647 1,028
Bastrop 39 6 13 12 70
Bee 258 97 106 99 560
Brazos 44 28 36 285 393
Burleson 28 25 33 177 263
DeWitt 202 80 477 982 1,741
Dimmit 296 132 1,173 1,824 3,425
Fayette 41 14 44 130 229
Frio 65 31 207 279 582
Gonzales 13 44 520 890 1,467
Grimes 32 17 38 69 156
Karnes 74 124 952 1,543 2,693
La Salle 260 145 965 1,695 3,065
Lavaca 311 41 75 270 697
Lee 28 18 18 107 171
Leon 249 93 122 140 604
Live Oak 161 92 269 490 1,012
Madison 240 149 646 1,254 2,289
Maverick 26 33 76 305 440
McMullen 413 110 59 44 626
Milam 50 157 646 475 1,328
Robertson 495 164 147 64 870
Walker 16 5 6 27 54
Washington 15 7 8 33 63
Webb 1,107 524 965 1,096 3,692
Wilson 8 13 117 129 267
Zavala 63 24 167 292 546
Total 4,587 2,228 8,158 13,358 28,331
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Table S7. Number of new well pads constructed per period by county.
County 2008 2010 2012 2014
Atascosa 13 56 243 453
Bastrop 22 31 37 42
Bee 167 219 348 334
Brazos 33 65 92 226
Burleson 25 47 75 162
DeWitt 126 196 521 807
Dimmit 186 291 854 1,149
Fayette 20 37 65 116
Frio 47 71 219 361
Gonzales 5 36 387 776
Grimes 11 45 77 119
Karnes 60 110 763 1,363
La Salle 215 316 837 1,539
Lavaca 223 252 224 393
Lee 14 28 54 98
Leon 121 280 375 470
Live Oak 100 167 396 598
Madison 14 41 107 292
Maverick 337 504 567 611
McMullen 188 292 690 1,118
Milam 10 35 300 404
Robertson 372 543 635 673
Walker 6 15 12 37
Washington 13 12 21 40
Webb 1,020 1,468 1,687 2,384
Wilson 0 7 81 160
Zavala 56 53 163 286
Total 3,404 5,217 9,830 15,011
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Table S8. Cumulative landscape alteration from well pads (total km2 per county).
County 2008 2010 2012 2014
Atascosa 0.1 0.4 3.1 5.5
Bastrop 0.1 0.1 0.1 0.1
Bee 1.3 1.0 2.0 1.5
Brazos 0.2 0.4 0.6 2.4
Burleson 0.2 0.3 0.7 1.5
DeWitt 0.9 1.6 7.3 11.3
Dimmit 1.1 1.8 11.5 11.8
Fayette 0.1 0.2 0.6 1.2
Frio 0.2 0.4 2.2 4.0
Gonzales 0.0 0.3 5.7 7.5
Grimes 0.0 0.3 0.7 1.1
Karnes 0.6 1.0 10.4 21.8
La Salle 1.3 2.1 10.8 21.7
Lavaca 1.5 1.1 1.2 2.7
Lee 0.1 0.2 0.6 0.9
Leon 0.5 1.9 2.1 2.7
Live Oak 0.7 1.1 4.9 7.6
Madison 0.0 0.3 1.1 3.6
Maverick 1.6 3.4 3.3 4.5
McMullen 1.3 2.3 9.0 15.2
Milam 0.0 0.1 0.7 0.6
Robertson 2.6 4.9 4.7 4.5
Walker 0.0 0.1 0.1 0.4
Washington 0.1 0.1 0.1 0.3
Webb 11.0 12.7 13.7 21.9
Wilson 0.0 0.0 1.0 1.7
Zavala 0.4 0.2 1.8 2.7
Total 25.8 38.3 99.9 160.8
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Table S9. Cumulative landscape alteration from pipelines (total km2 per county).
County 2008 2010 2012 2014
Atascosa 0.7 0.4 2.2 0.9
Bastrop 0.1 0.2 0.2 0.2
Bee 1.3 0.5 2.8 2.0
Brazos 1.1 0.8 1.0 0.8
Burleson 1.5 1.0 2.0 0.8
DeWitt 0.6 0.7 1.6 1.8
Dimmit 2.2 2.4 10.1 3.2
Fayette 0.8 1.1 1.5 0.7
Frio 2.9 1.5 1.5 2.0
Gonzales 0.1 0.2 1.0 0.6
Grimes 1.0 0.3 0.5 0.4
Karnes 6.5 0.7 2.4 7.5
La Salle 3.7 4.1 6.0 7.7
Lavaca 0.9 0.7 0.7 1.0
Lee 1.5 0.6 2.6 0.7
Leon 2.2 0.8 0.5 0.8
Live Oak 1.5 1.3 3.8 2.1
Madison 1.0 0.4 0.3 0.6
Maverick 1.4 1.8 1.5 2.0
McMullen 3.9 2.3 5.8 4.4
Milam 0.0 0.1 0.2 0.1
Robertson 0.9 1.5 1.1 1.2
Walker 0.7 1.7 0.2 0.1
Washington 2.4 0.3 0.8 0.3
Webb 27.3 20.4 12.5 20.7
Wilson 0.3 0.2 0.4 0.5
Zavala 2.1 0.8 1.1 1.0
Total 68.7 47.1 64.6 64.2
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Pierre et al. — Time Series Analysis of Energy Production and Associated Landscape Fragmentation in the Eagle Ford Shale Play
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Table S10. Number of wells per pad by county.
County 2006–08 2008–10 2010–12 2012–14
Atascosa 1.08 1.07 1.33 1.81
Bastrop 1.18 1.32 1.32 1.48
Bee 1.09 1.12 1.16 1.16
Brazos 1.61 1.57 1.67 1.99
Burleson 2.24 2.02 2.55 2.14
DeWitt 1.13 1.19 1.31 1.89
Dimmit 1.22 1.33 1.83 2.57
Fayette 1.3 1.41 1.49 1.97
Frio 1.06 1.14 1.29 1.6
Gonzales 1.2 1.08 1.41 1.83
Grimes 1 1.58 1.53 1.61
Karnes 1.12 1.22 1.4 1.95
La Salle 1.05 1.09 1.39 1.86
Lavaca 1.1 1.13 1.19 1.46
Lee 1.43 1.46 1.59 1.69
Leon 1.09 1.19 1.25 1.3
Live Oak 1.16 1.14 1.17 1.51
Madison 1.07 1.32 1.31 1.54
Maverick 1.18 1.17 1.18 1.23
McMullen 1.04 1.06 1.38 1.87
Milam 1.1 1.43 1.84 2
Robertson 1.1 1.14 1.22 1.24
Walker 1 1.2 1.83 1.38
Washington 1.23 1.5 1.52 1.4
Webb 1.06 1.07 1.26 1.44
Wilson 0 1.71 1.33 1.38
Zavala 1.27 1.64 1.47 1.77