Technical and socio-economic risk evaluation for the development of the geothermal energy in Europe P. Ledru
Dec 30, 2015
Technical and socio-economic risk evaluation for the development of the geothermal energy
in Europe
P. Ledru
ENGINE, Workshop 7, Leiden, 8-9 November 2007 > 2
After two years, 6 workshops and 2 conferences…
> ENGINE, a scientific exchange platform: a R&D task force for defining research projects
• Identification of bottlenecks and prioritisation of research needs
> ENGINE, along with other coordinating initiatives (European Commission, IEA-GIA, MIT expert panel, IGA, EGEC…) can
• contribute to the construction of an international strategy
• consolidate the available information systems
> Economic and environmental constrains have changed as a result of the increase of the energy price and of the threats of global warming as a consequence of greenhouse gas concentration in the atmosphere
> Several major geothermal projects have been developed, especially in Germany (Gross Schönebeck, Landau, Unterhaching…) and Iceland, and the interest for unconventional geothermal energy worldwide has been renewed (Australia, US)
WP1
Project Management- 1 co-ordinator and secretary- follow up time / quality / cost- 1 executive Group- 1 steering committee- Connection with international agencies, national programmes, industrial partners
Deliverables- quarterly reports to EU- stronger links with potential partners for new projects
A scientific and technical European Reference Manual for the development of Unconventional Geothermal Resources
and Enhanced Geothermal Systems
WP3Investigation of Unconventional Geothermal Resources and EGS - The scientific and technological challenges of the exploration phase- Gaps, barriers and cost effectiveness
Publications- state-of-the-art- proceedings of conferences- definition and analysis of bottlenecks and solutions
WP6 Expertise on investigation of unconventional Geothermal resources and EGSSynthesis on best practices, barriers holding back development and possible solutions
WP7 Expertise on drilling, stimulation and reservoir assessmentSynthesis on best practices, barriers holding back development and possible solutions
WP8 Expertise onexploitation, economic, environmental and social impactsSynthesis on best practices, barriers holding back development and
possible solutions
Best Practice Handbook and innovative concepts
An updated framework of activities concerning Unconventional Geothermal Resources and Enhanced
Geothermal Systems in Europe
WP5Exploitation, economic, environmental and social impacts- Integrated economic approach for cost-effectiveness- Policy makers and public awareness- Gaps and barriers holding back development
Publications- state-of-the-art- proceedings of conferences- definition and analysis of bottlenecks and solutions
WP4Drilling, stimulation and reservoir assessment
- Drilling technology, reservoir modelling and management- Gaps, barriers and cost effectiveness
Publications- state-of-the-art- proceedings of conferences- definition and analysis of bottlenecks and solutions
WP9 Risk evaluation for the development of geothermal energyReport on the integration of results in a Decision Support system
ENGINE: ENhanced Geothermal Innovative
Network for Europe
WP2 Information and dissemination system- General information- Information on training and education- Reports and results, publications - Data management- Publication policy- Connection with media
Deliverables- a web site- access to databases, models and open-source software- on-line access to articles and reviews
Coordination action breakdown structure: http://engine.brgm.fr/
WP1, Project Management
WP2, Information and dissemination system
WP3. Investigation of UGR and EGS
WP4. Drilling, stimulation and reservoir assessment
WP6. Expertise on investigation of UGR and EGS
WP8. Expertise on exploitation, economic, environmental, social impacts
WP7. Expertise on drilling, stimulation and reservoirassessment
LaunchingConf.(France2/2006)
FinalConference
(Lithuania, 02/2008)
WP5. Exploitation, economic, environmental and social impacts
Mid-term Conference
(Germany01/2007)
Mid-term Conference
Mid-term Conference
Specialised workshops
WP9. Risk evaluation for the development of geothermal energy
Extension of the network to Third countries (Mexico, El Salvador, Philippines)
Germany(11/2206)
Switzerland(06/2006)
France(9/2006)
Italy (04/2007)
The Netherlands(11/2007)
Iceland (07/2007)
Greece (09/2007)
Beginning of contacts with the Stakeholder Committee
ENGINE, Workshop 7, Leiden, 8-9 November 2007 > 5
Identification of bottlenecks and prioritisation of research needs
EGS technology
Priority A Impact of innovation
Priority B
Impact of innovation
Priority n
Impact of innovation
Resource investigation
Topic 1 x% Topic 2 y% Topic n z%
Drilling, stimulation
and reservoir assessment
… … …
Exploitation, reservoir
management and monitoring
… … …
Economic, environmental
and social impacts
… high … medium … low
…
ENGINE, Workshop 7, Leiden, 8-9 November 2007 > 6
What is now missing?> For starting up new
ambitious projects, to rally industrial partners and get support form politics at the national and European level?• The European Strategic
Energy Technology Plan defines a target of 20% renewable market penetration in 2020. However, if prospects for market penetration are presented for biofuels, photovoltaics or wind energy, reference to geothermal energy is still missing.
ENGINE, Workshop 7, Leiden, 8-9 November 2007 > 7
Milestones for achieving ENGINE…
> Identification of bottlenecks and prioritisation of research needs
> Defining concepts for qualifying and quantifying geologic technical and environmental risk
• Examples from US, Australia and Europe
ENGINE, Workshop 7, Leiden, 8-9 November 2007 > 8
Spe
cific
cos
ts
Time
System reliability
Reservoir engineering
Explorationforecast
R&D Explorationforecast
Reservoir engineering
System reliability
Geothermal Learning Curve
ENGINE, Workshop 7, Leiden, 8-9 November 2007 > 9
The R&D contribution to the learning curve of Geothermal Energy
202020102000
1179 X
1650 X
Business as usual
2000
MWe
4000
8000
2000
4000
8000
Innovation 1: non reproducibleA 100% increase in permeability after stimulation
The R&D input
MWe
ENGINE, Workshop 7, Leiden, 8-9 November 2007 > 10
The R&D contribution to the learning curve of Geothermal Energy
202020102000
1179 X
1650 X
Business as usual
2000
MWe
4000
8000
2000
4000
8000
Innovation 2: reproducible 100% increase in permeability after stimulation
The R&D input
MWe
ENGINE, Workshop 7, Leiden, 8-9 November 2007 > 11
The R&D contribution to the learning curve of Geothermal Energy
202020102000
1179 X
1650 X
Business as usual
2000
MWe
4000
8000
2000
4000
8000
Innovation 3: reproducible 3D thermal modelling of the 1st 5 km, with an error bar on t°C estimation < 10°C
The R&D input
MWe
Innovation 2: reproducible 100% increase in permeability after stimulation
ENGINE, Workshop 7, Leiden, 8-9 November 2007 > 12
The R&D contribution to the learning curve of Geothermal Energy
202020102000
1179 X
1650 X
Business as usual
2000
MWe
4000
8000
2000
4000
8000
Innovation 2: reproducible 100% increase in permeability after stimulation
Innovation 3: reproducible 3D thermal modelling of the 1st 5 km, with an error bar on t°C estimation < 10°C
Innovation 4: Reduction of drilling investment by 50%
The R&D input
The Soultz Innovation: connectivity at depth between wells
The Gross schönebeck Innovation: non reversible increase in permeability in sedimentary basin, sustainability of t°C
MWe
ENGINE, Workshop 7, Leiden, 8-9 November 2007 > 13
Site Screening
Continental Regional Local/Concessional Reservoir
Lithosphere Strength
Tomography
Geology, Hydrogeology
Surface Geophysics (gravimetric, EM, Seismic)
Resource analysis
Hydraulic properties
Borehole Geophysics (Acoustic Borehole Imaging,
VSP,...)
Heat Flow
Moho Depth
Geochemistry, fluid geochmistry
Petrography, Petrophysics, Mineralogy
Stress Field
Regional reconnaissance
Prospect identification
Steps to delineating a geothermal resource
ENGINE, Workshop 7, Leiden, 8-9 November 2007 > 17
Evaluation of risk in US
> The level of risk for the project must account for all potential sources of risk• technology, scheduling,finances, politics, and exchange rate. The
level of risk generally will define whether or not a project can be financed and at what rates of return
> Current hydrothermal projects or future EGS projects will, in the near term, carry considerable risk as viewed in the power generation and financial community.
> Risk can be expressed in a variety of ways including cost of construction, construction delays, or drilling cost and/or reservoir production uncertainty.
> In terms of “fuel” supply (i.e., the reliable supply of produced geofluids with specified flow rates and heat content, or enthalpy), a critical variable in geothermal power delivery, risks initially are high but become very low once the resource has been identified and developed to some degree, reflecting the attraction of this as a dependable base-load resource.
ENGINE, Workshop 7, Leiden, 8-9 November 2007 > 18
Risk assessment
ENGINE, Workshop 7, Leiden, 8-9 November 2007 > 19
Risk assessment
ENGINE, Workshop 7, Leiden, 8-9 November 2007 > 20
Risk assessment
Oil & Gas Methods for the Assessment Risk & Uncertainty of Hot Rock Plays (Let’s move to Australia…)
Generalisations: • If 3 geologic factors are at least adequate – a hot rock play is prospective.
Source of heat Ex. Radiogenic, high heat-flow granites;
Insulating strata to provide thermal traps;
Hot Rock reservoirs Ex. Permeable fabrics within insulating and heat source rocks that are susceptible to fracture stimulation.
• The serial product of key geologic factor adequacy is the chance for geologic success. Where P = the probability of a geologic factor being at least adequate (for a viable hot rock resource to exist) - the chance all 3 factors are at least adequate is:
Chance of Hot Rock Adequacy = P heat source x P heat trap x P heat reservoir
Insulating strata
Hot Rock reservoirSource of
Heat Access to this figure was kindly provided by Jeff Tester – MIT
Visit: www.pir.sa.gov.au/[email protected]
• The estimated chance for a geothermal well to flow hot fluids at an initial rate (defined as litres per second at an initial oCelsius) deemed at least adequate (prospective) to underpin break-even outcomes is proposed as the key additional ingredient to define practical prospectivity.
• This Hot Rock heat flow rate factor (Pheat flow rate) is integrates physical and economic criteria
and is analogous to global best practice for pre-drill estimates of ‘expected’ (risked) petroleum targets – which entail estimates of minimum economic pool-size (Pmeps) for local conditions
• Example Calculation. Very certain granites at > 210oC below insulating strata in stress field known to be conducive to naturally occurring horizontal fractures:
P heat source = 90% P heat source x P heat trap x P heat reservoir x P heat flow rate
P heat trap = 90% = 90% x 90% x 50% x 50%
P heat reservoir = 50% = 20.25% estimated chance of economic success
P heat flow rate = 50%
This enables risk-ranking of plays, expected value estimates, value of
information estimates and a portfolio approach to managing risk and
uncertainty, analogous to best practice in the petroleum E&P business.
Generalisations taken a step further
Visit: www.pir.sa.gov.au/[email protected]
Four outcomes are possible from the drilling and flow testing of a Hot Rock target.• Geologic success (rock properties are at least adequate to justify flow tests)
• Geologic failure (rock properties are insufficient to justify flow tests)
• Technical success (flow tests undertaken but outcome is not competitive in foreseeable markets)
• Economic success (flow tests demonstrate a resource is at least 50% certain to be competitive in foreseeable markets)
Example calculations for the chance for these four outcomes follows:• the chance for geologic success in a hot rock play (Pg)
= (P heat source x P heat trap x P heat reservoir)
= 90% x 90% x 50%
= 40.5%
• the chance of geologic inadequacy is the complement of Pg
= 100% - Pg
= 100% - 40.5%
= 59.5%
• the chance of a technical success (i.e. a geologic success with inadequate flow rate)
= (1- P heat flow rate) x Pg
= (100% – 50%) x 40.5%
= 20.25%
• the chance for an economic success (i.e. the probability of economic success Ps)
= (P heat source x P heat trap x P heat reservoir x P heat flow rate)
= 90% x 90% x 50% x 50%)
= 20.25% = Ps
NPV = Net Present Value
Expected Value Estimate for a Hot Rock Test Well (An Example)
P success = 20.25%
Say NPV of mean success case is $50 million for a single play trend. The NPV for the mean success case for the entire play trend is $500 million
P geologic success but < economic flow rate = 20.25%
Say cost of unsuccessful fracture stimulation is $2 million
P Geologic Inadequacy = 59.5%.
Say cost of failure is $10 million
Chance of economic failure = 20.25% + 59.5% = 79.75%
Sum of probabilities = 100%
Decision-tree for a hypothetical Hot Rock target
The chance for economic success (Ps) for this Hot Rock Play
= (Ps x NPV of Hot Rock Play) –
((1- Ps) x full-cycle NPV to prove post-frac flow > economic threshold rate)
= {20.25% x $50,000,000} - {$12,000,000 79.75%)
= $560,000 Expected Net Present Value
This is << than the expected value of the play tested by a single wellVisit: www.pir.sa.gov.au/[email protected]
Say the first ‘play-maker well was successful – and demonstrated economic flow rates are credibly more certain for a the entire Hot Rock play (worth NPV of $500 million). The implications of that successful ‘proof-of-concept’ test well could be that:
• Pheat reservoir to move from 50% to 75%; and
• Pheat flow rate to move from 50% to 75%.
In this example:• the chance for Hot Rock play geologic success (Pg) = 90% x 90% x 75% = 60.75%
• the chance of geologic inadequacy is the complement of 60.75% i.e. 39.25%
• the chance of technical success = Pheat flow rate x Pg = (100% – 75%) x 60.75% = 15.19%
• the chance for economic success = Pg x Pheat flow rate = (60.75% x 75%) = 45.56%
• the VoI gained from a successful proof-of-concept flow test is the additional expected value
The VoI gained in this Hot Rock play is estimated as follows:• Pre-drill Expected Net Present Value (NPV) for the Hot Rock Play =
{20.25% x $500 million NPV for the Play} - {$12 million x 79.75%) = $91.68 million
Post drill Expected NPV for the Hot Rock Play ={45.56% x $500 million NPV for the Play =} - {$12 million x 54.44%) = $221.27 million
The value of information ($129.59 million) from the successful proof-of-concept flow tests is the difference between the pre- and post-drill expected net present values expressed above
Value of Information (VoI) Estimate for a Hot Rock Play (An Example)
Visit: www.pir.sa.gov.au/[email protected]
How Much Is Enough Research & Demonstration? An example
Assume 3 distinct Hot Rock play-trends to explore with geologic factor adequacies as follow.
Portfolio: Play A Play B Play C
Factors Chance of Adequacy
Chance of Inadequacy
Chance of Adequacy
Chance of Inadequacy
Chance of Adequacy
Chance of Inadequacy
P heat source 90% 10% 90% 10% 50% 50%
P heat trap 90% 10% 90% 10% 90% 25%
P heat reservoir 50% 50% 75% 25% 50% 50%
P heat flow rate 50% 50% 25% 75% 25% 75%
Play A Play B Play C
P geologic success(Pg) = (90% x 90% x 50%) = 40.50% = (90% x 90% x 75%) = 60.75% = (50% x 90% x 50%) = 22.50%
P geologic failure (1-Pg) = (1 - 40.50%)= 59.50% = (1 - 60.75%) = 39.25% = (1 - 22.50%) = 77.50%
P technical success = 40.50% x (1 - 50%) = 20.25% = 60.75% x (1 – 25%) = 45.56% = 22.50% x (1 – 25%) = 16.88%
P technical failure = (1- 20.25%) = 79.75% = (1- 45.56%) = 54.44% = (1- 16..88%) = 84.22%
P economic success (Ps) = (40.50% x 50%) = 20.25% = (60.75% x 25%) = 15.19% = (22.50% x 25%) = 5.63%
P economic failure (Pf) = (1 – 20.25%) = 79.75% = (1 – 15.19%) = 84.81% = (1 – 5.63%) = 94.38%
Estimates of the chance that testing all 3 play trends will result in the discovery of at least one:
Technically adequate Hot Rock play: 1 – {Pgeologic inadequacy for A x Pgeologic inadequacy for B x Pgeologic inadequacy for C}
Economically attractive Hot Rock play: 100% – (79.75% x 84.81% x 94.38) = 36%
Funding exploration through demonstration of an independent fourth Hot Rock play would inevitably increase the chance of demonstrating at least one economically attractive resource
Visit: www.pir.sa.gov.au/[email protected]
ENGINE, Workshop 7, Leiden, 8-9 November 2007 > 26
A benchmark of case studies in Europe
> Methodology of GE-ISLEBAR • Classification of the barriers
• Each barrier has been considered as a criticality
• a "criticality index" has been assigned to each criticality in proportion to its ability to obstacle or hinder the implementation of the project : From very low…to very high
ENGINE, Workshop 7, Leiden, 8-9 November 2007 > 27
A classification of the barriers
> Resource • Geothermal resource, Well productivity, Fluid characteristics, Actual Field capacity, Long term
Field capacity, Implementation of the plant, Earthquakes-Volcanic Activity
> Project economy • Exploration Investment cost, Exploitation Investment cost, Operation costs, Maintenance
costs, Economic attractiveness, Financial parameters, Financial supports and incentives
> Demand • Energy demand, Competitivity of Alternative energy
> Environment • Normative for wells, for plant construction, for plant operation, for outside water reject, for
reinjection, for Air emission, Noise pollution, Visual Impact
> Sociological aspects • Misleading opinions , Lack of knowledge
> Conflicts of interest towards the project • Adequacy of legislation, National, regional, EU supports, Local hostile economics operators,
Local hostile environmental groups, Local hostile institutional entities
> Organisation of the project• Lack of entity in charge of the management, competition between different entities, confusion
among the roles of different entities)
0
1
2
3
4
5
1.1 Geothermal resource
1.2 Well productivity
1.3 Fluid characteristics
1.4 Actual Field capacity
1.4 Long term Field capacity
1.5 Implementation of the plant
1.6 Earthquakes-Volcanic Activity
2.1 Exploration Investment cost
2.2 Exploitation Investment cost
2.3 Operation costs
2.4 Maintenance costs
2.5 Economic attractiveness
2.6 Financial parameters
2.7 Financial supports and incentives
3.1 Energy demand .
3.2 Competitivity of Alternative energy
4.1 Normative for wells
4.2 Normative for plant construction4.3 Normative for plant operation
4.4 Normative for outside water reject
4.4 Normative for reinjection
4.5 Normative for Air emission
4.6 Noise pollution
4.7 Visual Impact
5.1 Misleading opinions
5.2 Lack of knowledge
6.1 Adequacy of legislation
6.2 National, regional, EU supports
7.1 Local hostile economics operators
7.2 Local hostile environmental groups
7.3 Local hostile institutional entities
8.1 Entity in charge of the management
8.2 Interest of different entities possibly
8.2 Roles of different entities possiblyOrganisation Resource
Environment
EconomySociological
Demand
Conflicts
Pantelleria
Nisyros
0
1
2
3
4
5
1.1 Geothermal resource
1.2 Well productivity
1.3 Fluid characteristics
1.4 Actual Field capacity
1.4 Long term Field capacity
1.5 Implementation of the plant
1.6 Earthquakes-Volcanic Activity
2.1 Exploration Investment cost
2.2 Exploitation Investment cost
2.3 Operation costs
2.4 Maintenance costs
2.5 Economic attractiveness
2.6 Financial parameters
2.7 Financial supports and incentives
3.1 Energy demand .
3.2 Competitivity of Alternative energy
4.1 Normative for wells
4.2 Normative for plant construction4.3 Normative for plant operation
4.4 Normative for outside water reject
4.4 Normative for reinjection
4.5 Normative for Air emission
4.6 Noise pollution
4.7 Visual Impact
5.1 Misleading opinions
5.2 Lack of knowledge
6.1 Adequacy of legislation
6.2 National, regional, EU supports
7.1 Local hostile economics operators
7.2 Local hostile environmental groups
7.3 Local hostile institutional entities
8.1 Entity in charge of the management
8.2 Interest of different entities possibly
8.2 Roles of different entities possiblyOrganisation Resource
Environment
EconomySociological
Demand
Conflicts
Bouillante
0
1
2
3
4
5
1.1 Geothermal resource
1.2 Well productivity
1.3 Fluid characteristics
1.4 Actual Field capacity
1.4 Long term Field capacity
1.5 Implementation of the plant
1.6 Earthquakes-Volcanic Activity
2.1 Exploration Investment cost
2.2 Exploitation Investment cost
2.3 Operation costs
2.4 Maintenance costs
2.5 Economic attractiveness
2.6 Financial parameters
2.7 Financial supports and incentives
3.1 Energy demand .
3.2 Competitivity of Alternative energy
4.1 Normative for wells
4.2 Normative for plant construction4.3 Normative for plant operation
4.4 Normative for outside water reject
4.4 Normative for reinjection
4.5 Normative for Air emission
4.6 Noise pollution
4.7 Visual Impact
5.1 Misleading opinions
5.2 Lack of knowledge
6.1 Adequacy of legislation
6.2 National, regional, EU supports
7.1 Local hostile economics operators
7.2 Local hostile environmental groups
7.3 Local hostile institutional entities
8.1 Entity in charge of the management
8.2 Interest of different entities possibly
8.2 Roles of different entities possiblyOrganisation Resource
Environment
EconomySociological
Demand
Conflicts
What should a good opportunity look like ?
1
2
3
4
5
1.1 Geothermal resource
1.2 Well productivity
1.3 Fluid characteristics
1.4 Actual Field capacity
1.4 Long term Field capacity
1.5 Implementation of the plant
1.6 Earthquakes-Volcanic Activity
2.1 Exploration Investment cost
2.2 Exploitation Investment cost
2.3 Operation costs
2.4 Maintenance costs
2.5 Economic attractiveness
2.6 Financial parameters
2.7 Financial supports and incentives
3.1 Energy demand .
3.2 Competitivity of Alternative energy
4.1 Normative for wells
4.2 Normative for plant construction4.3 Normative for plant operation
4.4 Normative for outside water reject
4.4 Normative for reinjection
4.5 Normative for Air emission
4.6 Noise pollution
4.7 Visual Impact
5.1 Misleading opinions
5.2 Lack of knowledge
6.1 Adequacy of legislation
6.2 National, regional, EU supports
7.1 Local hostile economics operators
7.2 Local hostile environmental groups
7.3 Local hostile institutional entities
8.1 Entity in charge of the management
8.2 Interest of different entities possibly
8.2 Roles of different entities possiblyOrganisation Resource
Environment
EconomySociological
Demand
Conflicts
AverageAverage :1
But have an attentive look to policy makers awareness and public acceptance
If those barriers are strong, you’ll have to work hard on them
Don’t worry to much about resource uncertainty and economy
… provided some financial tools are implemented, and demand exist
ENGINE, Workshop 7, Leiden, 8-9 November 2007 > 32
Milestones for achieving ENGINE…
> Identification of bottlenecks and prioritisation of research needs
> Defining concepts for qualifying and quantifying geologic technical and environmental risk
• Examples from Australia and Europe
> An evaluation of the investment and the expected savings on cost operation at the 2020 horizon for each R&D initiative and industrial project
ENGINE, Workshop 7, Leiden, 8-9 November 2007 > 33
The R&D contribution to the learning curve of Geothermal Energy
202020102000
1179 X
1650 X
Business as usual
2000
MWe
4000
8000
2000
4000
8000
Innovation 2: reproducible 100% increase in permeability after stimulation
Innovation 3: reproducible 3D thermal modelling of the 1st 5 km, with an error bar on t°C estimation < 10°C
Innovation 4: Reduction of drilling investment by 50%
The R&D input
The Soultz Innovation: connectivity at depth between wells
The Gross schönebeck Innovation: non reversible increase in permeability in sedimentary basin, sustainability of t°C
MWe
ENGINE, Workshop 7, Leiden, 8-9 November 2007 > 34
Milestones for achieving ENGINE…
> Identification of bottlenecks and prioritisation of research needs
> Defining concepts for qualifying and quantifying geologic technical and environmental risk• Examples from Australia and Europe
> An evaluation of the investment and the expected savings on cost operation at the 2020 horizon for each R&D initiative and industrial project
> Data available from the updated framework of activities and expertises performed must converge to select discrete and significant parameters for the risk analysis.
> The use of Decision Support Systems that will integrate the critical parameters defined. From this modelling, a definition of the most favourable contexts for the development of Unconventional Geothermal Energy in Europe is expected.