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Quantitative
methods meet
social concerns:
Participatory indicator
design in shale gas analysis
Cristina Madrid-López
Marie Curie Fellow
ICTA-UAB, Yale University
Water Science for Impact Conference
Wageningen 16-18 October 2018
Index
1. The IANEX project
2. The research cycle
3. Result Sample
Index
1. The IANEX project
2. The research cycle
3. Result Sample
IANEX
igs.indiana.edu
“The Shale Gas Factory” (Stephenson 2015)
• IANEX: Integrated Analysis of the Nexus. The
Case of Hydraulic Fracturing (2015-2018)
• Funded by: European Commission’s 7th FP’s
Marie Curie Program
• Objective: Support decision-making about
shale gas development in the EU
Problem
Identification
Validation
and
Ranking
Design
Quantitative
Assessment
Run
Quantitative
Assessment
Sensitivity
check
Output
Feedback
Participation
Quantification
Research
Cycle
IANEX
igs.indiana.edu
“The Shale Gas Factory” (Stephenson 2015)
• IANEX: Integrated Analysis of the Nexus. The
Case of Hydraulic Fracturing (2015-2018)
• Funded by: European Commission’s 7th FP’s
Marie Curie Program
• Objective: Support decision-making about
shale gas development in the EU
Problem
Identification
Validation
and
Ranking
Design
Quantitative
Assessment
Run
Quantitative
Assessment
Sensitivity
check
Output
Feedback
Participation
Quantification
Research
Cycle
Index
1. The IANEX project
2. The research cycle
3. Result Sample
Research cycle 101
1
2
3
4
5
6
Participation
Quantification
WEF
Issue
1 .Issue Definition
• Literature Review
GHG Emissions
Water Use
Changes in the biodiversity
Coverage of energy demand
Ability to manage economic constraints
Degree of Fossil fuel dependence
Population with benefits/damage
Empowerment
Institutional network complexity
Perception about the activity
Indicator Example
Contribution to domestic economy/labor market
Issue
Social Desirability
Economic Viability
Environmental
Feasibility
2 Indicator design
• Interviews
(Policy makers, Industry)
• Workshops
(Land owners)
• Surveys (General
Public)
Challenge!!
Trust!
QT/QLIntegration
X9
X10
X11
X2
X3
X4
X5
X6
X7
X8
Value
X1
Research cycle 101
1
2
3
4
5
6
Participation
Quantification
WEF
Issue
1 .Issue Definition
• Literature Review
2 Indicator design
• Interviews
(Policy makers, Industry)
• Workshops
(Land owners)
• Surveys (General
Public)
Issue
Social Desirability
Economic Viability
Environmental
Feasibility
Challenge!!
Trust!
QT/QLIntegration
GHG Emissions
Water Use
Changes in the biodiversity
Coverage of energy demand
Ability to manage economic constraints
Degree of Fossil fuel dependence
Population with benefits/damage
Empowerment
Institutional network complexity
Perception about the activity
Indicator Example
Contribution to domestic economy/labor market
X9
X10
X11
X2
X3
X4
X5
X6
X7
X8
Value
X1
(DETAILED) SYSTEMS
PERSPECTIVE
LCA Socio-hydrological modellingSocio-energy modelling
Research cycle 101
1
2
3
4
5
6
Participation
Quantification
WEF
Issue
3 Design quantitative
method
4 Run Quantitative
analysis
Challenge!!
Multi-scaleview
Index
1. The IANEX project
2. Participatory indicator design
3. Result Sample
The local perspective – Water Use
Well Productivity (Mcf/day)
0
2000
4000
6000
8000
10000
0 1 2 3 4 5
Drilling &
fracking
Production Decay
Years
Water Extraction (cf) per well age, productivity
in reporting period (month) and county 2015
The local perspective –GHG Emissions
Well Productivity (Mcf/day)
0
2000
4000
6000
8000
10000
0 1 2 3 4 5
Drilling &
fracking
Production Decay
Years
Methane emissions per well age,
productivity and county 2015
0
1000
2000
3000
4000
5000
6000
7000
8000
0-1 1.1-2 2.1-3 3.1-4 4.1-5 >5
Well population
Drilling &
Production
Decay
The state perspective
0
1000
2000
3000
4000
5000
6000
7000
0
500
1000
1500
2000
2500
3000
Decay
Production
Decay
Production
Decay
Production
Decay
Production
Decay
Production
Decay
Production
Decay
Production
20102010201120112012201220132013201420142015201520162016
Average productivity ProdWellNo
PA productivity vs number of wells
Mcf/day No.
Water use/hour Methane/hour
2,000.00
1,500.00
1,000.00
500.00
0.00
500.00
1,000.00
1,500.00
CRAWFORD
VENANGO
HUNTINGDON
CAMBRIA
WARREN
FOREST
CAMERON
BLAIR
MERCER
CLARION
SOMERSET
BEAVER
CENTRE
LAWRENCE
ALLEGHENY
INDIANA
JEFFERSON
ELK
POTTER
MCKEAN
SULLIVAN
CLEARFIELD
CLINTON
ARMSTRONG
WYOMING
WESTMORELAND
FAYETTE
BUTLER
GREENE
TIOGA
SUSQUEHANNA
WASHINGTON
LYCOMING
BRADFORD
Obama Decay Obama Production Trump Decay Trump Production
Regional distribution of emission (Gg)
Thank you!
Bedankt!
cristina.madrid@uab.cat
Good indicators matter (case for water)
Sewage
Toilet
Origin Water Network Connection
Ecuador 2014
Participatory
Shower

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Participatory indicator design

  • 1. Quantitative methods meet social concerns: Participatory indicator design in shale gas analysis Cristina Madrid-López Marie Curie Fellow ICTA-UAB, Yale University Water Science for Impact Conference Wageningen 16-18 October 2018
  • 2. Index 1. The IANEX project 2. The research cycle 3. Result Sample
  • 3. Index 1. The IANEX project 2. The research cycle 3. Result Sample
  • 4. IANEX igs.indiana.edu “The Shale Gas Factory” (Stephenson 2015) • IANEX: Integrated Analysis of the Nexus. The Case of Hydraulic Fracturing (2015-2018) • Funded by: European Commission’s 7th FP’s Marie Curie Program • Objective: Support decision-making about shale gas development in the EU Problem Identification Validation and Ranking Design Quantitative Assessment Run Quantitative Assessment Sensitivity check Output Feedback Participation Quantification Research Cycle
  • 5. IANEX igs.indiana.edu “The Shale Gas Factory” (Stephenson 2015) • IANEX: Integrated Analysis of the Nexus. The Case of Hydraulic Fracturing (2015-2018) • Funded by: European Commission’s 7th FP’s Marie Curie Program • Objective: Support decision-making about shale gas development in the EU Problem Identification Validation and Ranking Design Quantitative Assessment Run Quantitative Assessment Sensitivity check Output Feedback Participation Quantification Research Cycle
  • 6. Index 1. The IANEX project 2. The research cycle 3. Result Sample
  • 7. Research cycle 101 1 2 3 4 5 6 Participation Quantification WEF Issue 1 .Issue Definition • Literature Review GHG Emissions Water Use Changes in the biodiversity Coverage of energy demand Ability to manage economic constraints Degree of Fossil fuel dependence Population with benefits/damage Empowerment Institutional network complexity Perception about the activity Indicator Example Contribution to domestic economy/labor market Issue Social Desirability Economic Viability Environmental Feasibility 2 Indicator design • Interviews (Policy makers, Industry) • Workshops (Land owners) • Surveys (General Public) Challenge!! Trust! QT/QLIntegration X9 X10 X11 X2 X3 X4 X5 X6 X7 X8 Value X1
  • 8. Research cycle 101 1 2 3 4 5 6 Participation Quantification WEF Issue 1 .Issue Definition • Literature Review 2 Indicator design • Interviews (Policy makers, Industry) • Workshops (Land owners) • Surveys (General Public) Issue Social Desirability Economic Viability Environmental Feasibility Challenge!! Trust! QT/QLIntegration GHG Emissions Water Use Changes in the biodiversity Coverage of energy demand Ability to manage economic constraints Degree of Fossil fuel dependence Population with benefits/damage Empowerment Institutional network complexity Perception about the activity Indicator Example Contribution to domestic economy/labor market X9 X10 X11 X2 X3 X4 X5 X6 X7 X8 Value X1
  • 9. (DETAILED) SYSTEMS PERSPECTIVE LCA Socio-hydrological modellingSocio-energy modelling Research cycle 101 1 2 3 4 5 6 Participation Quantification WEF Issue 3 Design quantitative method 4 Run Quantitative analysis Challenge!! Multi-scaleview
  • 10. Index 1. The IANEX project 2. Participatory indicator design 3. Result Sample
  • 11. The local perspective – Water Use Well Productivity (Mcf/day) 0 2000 4000 6000 8000 10000 0 1 2 3 4 5 Drilling & fracking Production Decay Years Water Extraction (cf) per well age, productivity in reporting period (month) and county 2015
  • 12. The local perspective –GHG Emissions Well Productivity (Mcf/day) 0 2000 4000 6000 8000 10000 0 1 2 3 4 5 Drilling & fracking Production Decay Years Methane emissions per well age, productivity and county 2015 0 1000 2000 3000 4000 5000 6000 7000 8000 0-1 1.1-2 2.1-3 3.1-4 4.1-5 >5 Well population Drilling & Production Decay
  • 13. The state perspective 0 1000 2000 3000 4000 5000 6000 7000 0 500 1000 1500 2000 2500 3000 Decay Production Decay Production Decay Production Decay Production Decay Production Decay Production Decay Production 20102010201120112012201220132013201420142015201520162016 Average productivity ProdWellNo PA productivity vs number of wells Mcf/day No. Water use/hour Methane/hour 2,000.00 1,500.00 1,000.00 500.00 0.00 500.00 1,000.00 1,500.00 CRAWFORD VENANGO HUNTINGDON CAMBRIA WARREN FOREST CAMERON BLAIR MERCER CLARION SOMERSET BEAVER CENTRE LAWRENCE ALLEGHENY INDIANA JEFFERSON ELK POTTER MCKEAN SULLIVAN CLEARFIELD CLINTON ARMSTRONG WYOMING WESTMORELAND FAYETTE BUTLER GREENE TIOGA SUSQUEHANNA WASHINGTON LYCOMING BRADFORD Obama Decay Obama Production Trump Decay Trump Production Regional distribution of emission (Gg)
  • 15. Good indicators matter (case for water) Sewage Toilet Origin Water Network Connection Ecuador 2014 Participatory Shower