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Geothermal DrillingGeothermal Drilling

Tom Harding-NewmanEnergy Specialist

July 2012

An analysis of global data

Agenda

• Background / context

• Defining success

• Highlights

� Success

� Capacity

• Factors affecting success and capacity

• Conclusions

2

Disclaimer

• The data presented here is based on a preliminary analysis

• Conclusions still need to be checked, verified, and peer-reviewed

• Do not quote or cite any findings• Do not quote or cite any findings

• This presentation does not claim to serve as an exhaustive presentation of the

issues it discusses and should not be used as a basis for making commercial

decisions

• Please contact me for further information and to receive the final version when

completed� thardingnewman@ifc.org

3

Background

• The ability to accurately estimate drilling success rates increases confidence in

a geothermal project� Helps to quantify the expected risk

� Supports resource modeling assumptions

� Improves access to financial support

• Previously, there has been little historical record that can be used to justify

forecasted success rates� Well data is often confidential, proprietary information

� No central database

� Local databases may be incomplete, giving an inaccurate picture

• We’d like to quantify the drilling risk, and assess what factors affect the risk

and by how much

4

A summary of available data

• The database covers:

� 14 countries

� 57 fields

� 2,613 wells, thought to represent ~70% of all commercial wells drilled around the world

• 7,700MW installed in the fields in the database, compared with 10,700MW installed worldwide• 7,700MW installed in the fields in the database, compared with 10,700MW installed worldwide

• Categories of data include

� Completion date

� Well status

� MW capacity of wells

� Depth

� Resource type

� Geology type

� Production casing size

� Pumped and re-drilled status

5

Data compiled by GeothermEx

Quantifying geology and resource types

Geology type

Code Description

1Granitic / higher-grade metamorphic

Tertiary and older volcanic/volcaniclastic -

Resource type - enthalpy

Code Description Temperature

1 Non-electric <100oC

2 Very low temp. 100oC to 150oC

3 Low temp. 150oC to 190oC

We have attempted to categorize the geology and resource characteristics of the geothermal fields so that we may assess the impact on success rates

2volcanic/volcaniclastic - large-scale volcanic structures absent

3Younger volcanic/volcaniclastic - large-scale volcanic structures (volcanoes, calderas) preserved

4Sedimentary Basin - clastic, drilled above basement

5Sedimentary Basin - clastic, wells drilled into basement

3 Low temp. 150oC to 190oC

4 Moderate temp. 190oC to 230oC

5 High temp. 230oC to 300oC

6 Ultra high temp. 300oC +

7 Steam field 230oC to 240oC

6

How to define success?

• There is no recognized basis for defining drilling success

• Any well that is drilled but isn’t used is unsuccessful, but what about partial

success?� Completely dry holes are rare

� Wells with low productivity may be pumped, re-drilled, or used for injection or observation

� Wells’ output may deteriorate over time, in which case, was it initially successful?

• Ultimately, success depends on the ROI of each well� Factors in cost of well and economics of power plant

� Hard to calculate on a well-by-well basis

� Availability of data

� MW output per $ of drilling cost may be simpler

• A simple MW threshold has been used in this analysis, where other data isn’t

available� Statuses of 12% of wells in database are unknown

7

Phases of a project

• As a project develops, understanding

of the reservoir improves

• This aids in targeting of wells and

should improve the success rate

• A project can be split in to different 70%

80%

90%

100%

Cumulative average success

Success in Kamojang field, Indonesia

Exploration

Development Operation

• A project can be split in to different

stages:� Exploration

• Early stage drilling to establish reservoir characteristics

� Development• Drilling to reach planned capacity output

� Operation• Drilling to replace lost capacity

• Length of each stage will vary

between projects

8

0%

10%

20%

30%

40%

50%

60%

1 4 7 10 13 16 19 22 25 28 31 34 37 40 43 46 49

Cumulative average success

Well number

Exploration

Highlights

Stage Well numbers

Success rate

MW Capacity % re-drilledMode Average

Exploration <=5 59% 4 6.0 15%

Development >5,<=30 74% 2-5 7.3 14%

Operation >30 83% 3 7.5 18%Operation >30 83% 3 7.5 18%

OVERALL All 78% 3 7.3 16%

9

• Success rate improves as the project progresses (learning curve)

• Capacity of wells does not significantly improve beyond the exploration

phase

• Re-drilling is equally common in each phase

Success

10

Evidence for the “learning curve” effect

• It is expected that well drilling

becomes more successful with more

wells drilled in a field� Each well drilled helps to refine

knowledge of the size and location of the resource

y = 0.07ln(x) + 0.4860%

70%

80%

Cumulative average drilling success

resource

• The available data supports this

theory� Success on the first well appears to be

about 50:50, on average

� Cumulative success rate rises rapidly in the first few wells

� The cumulative success rate continues to rise as later wells are consistently more successful

11

y = 0.07ln(x) + 0.48R² = 0.99

0%

10%

20%

30%

40%

50%

60%

1 3 5 7 9 1113151719212325272931333537394143454749

Average success

Well sequence number

Exploration

Development Operation

Variations in success

• Developers and financers are not

just interested in absolute risk, but

also the risk variability

• The database suggests that most 10

12

14

Number of fields

Variation in success by field

• The database suggests that most

fields have an overall success rate of

over 50%, and 80-90% is the most

common� Implies new projects should expect

success rates above 50% but could be significantly higher

12

0

2

4

6

8

<=30% >30%<=40%

>40%<=50%

>50%<=60%

>60%<=70%

>70%<=80%

>80%<=90%

>90%<=100%

Number of fields

Success range

Variations in success by phase

• There is a wide range of success

rates seen in the Exploration phase

=> no real way of assessing likely

success rate

40%

45%

50%

Variation in success by development stage

Exploration

• Success in the Development phase is

most frequently around 60-70%,

though also commonly above this

• Success in the Operations phase is

higher, normally 90-100%

13

0%

5%

10%

15%

20%

25%

30%

35%

>=0%<=10%

>10%<=20%

>20%<=30%

>30%<=40%

>40%<=50%

>50%<=60%

>60%<=70%

>70%<=80%

>80%<=90%

>90%<=100%

% of fields

Success range

Development

Operation

Improvements over time

• Exploration appears to have become

more successful over the last 50

years� Possibly caused by better exploration

techniques

� NB. Wide variation in success rates in this 80%

100%

Success of wells by decadeExploration

Development

Operation

� NB. Wide variation in success rates in this stage makes averages potentially mis-leading

• No significant changes in success

rates of development wells over

time

• Operation wells appear to have

become less successful� Possibly caused by older fields being fully

exploited

14

0%

20%

40%

60%

1960's 1970's 1980's 1990's 2000's

Success

Decade

Well capacity

15

Distribution of well capacity

• Well capacity follows a positively

skewed distribution� Mode is 3MW

� Average is 7.3MW

� Skew is 1.64120

140

160

Distribution of well capacity

• A wide range of capacities are

possible� Maximum capacity of a single well in the

database is 54MW

16

0

20

40

60

80

100

0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20

# of wells

Gross Capacity (MW)

Changes of capacity with project phase

• The distribution of well capacities is

similar in each stage of project

development� Do not expect improvements in capacity

of wells as a project progresses25%

30%

Distribution of well capacity

Exploration

• Exploration has a slightly higher

mode (4MW)

• In Development, 2-5MW are equally

common

17

0%

5%

10%

15%

20%

0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20

# of wells

Gross Capacity (MW)

Exploration

Development

Operation

Improvement of capacity in a project

• There is very little improvement in

the capacities of wells as drilling

progresses� No learning curve

6.0

7.0

8.0

9.0

(MW)

Cumulative average capacity

18

0.0

1.0

2.0

3.0

4.0

5.0

6.0

1 3 5 7 9 1113151719212325272931333537394143454749

Average capacity (MW)

Well sequence number

Impact of pumping on well capacity

• Only ~6% of wells are pumped� Pumps can only be used in a narrow

temperature range

• Pumped and non-pumped wells show

similar distributions

30%

35%

% of wells by pump status

Capacity distribution of pumped and non-pumped

wells

similar distributions� Pumped wells have a narrower range of

values

� Frequency of capacity of pumped wells has a strong peak at 3MW

• Due to costs, pumping is only used

where output would otherwise be

marginal or low� Not used to boost productive wells

19

0%

5%

10%

15%

20%

25%

0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20

% of wells by pump status

Capacity (MW)

Pumped

Non-pumped

Factors affecting success

20

Prevalence of well depths in database

• Wells are drilled at all depths from

100m up to 6km� Normally less than ~3.5km

• Frequency appears to generally rise 20

40

60

80

100

120

# of wells

Well frequency by depth

• Frequency appears to generally rise

up to 2,200m� Clear modes at 1,200m and 2,200m

• Most fields have wells drilled at a

range of depth

21

0

100

300

500

700

900

1,100

1,300

1,500

1,700

1,900

2,100

2,300

2,500

2,700

2,900

3,100

3,300

3,500

Well depth (m)

0

1,000

2,000

3,000

4,000

5,000

6,000

7,000

Depth (m)

Field

Range of depths by fieldAverage depth

Impact of depth on capacity and success

• Might expect it to be easier to drill

shallow wells => higher success

• There does not appear to be any

correlation between well depth and 70%

80%

90%

100%

7

8

9

10

Average capacity (MW)

Average capacity and success by depth

success or capacity� Shallow wells not necessarily more

successful or more productive

• However, it is cheaper to drill

shallower wells, so a low

productivity well may be considered

successful if it is shallow/cheap� Cost factor is not picked up in our

definition of success here

22

0%

10%

20%

30%

40%

50%

60%

70%

0

1

2

3

4

5

6

7

100

300

500

700

900

1,100

1,300

1,500

1,700

1,900

2,100

2,300

2,500

2,700

2,900

3,100

3,300

3,500

Success

Average capacity (MW)

Well depth (m)

Impact of casing size on capacity and success

• Larger casing allows greater flow

rates of fluids� Should allow greater well capacity

• There is no clear trend of increasing

capacity with increasing casing size

70%

80%

90%

100%

7.0

8.0

9.0

10.0

Average capacity (MW)

Frequency and capacity of wells by casing size

• Success is not clearly related to

casing size

• Casings between 200 and 350mm are

the most common

• When designing drilling program,

required capacity does not need to

be considered

23

0%

10%

20%

30%

40%

50%

60%

70%

0.0

1.0

2.0

3.0

4.0

5.0

6.0

7.0

>=0<150

>=150<200

>=200<250

>=250<300

>=300<350

>=350<400

>=400

Success

Average capacity (MW)

Casing size (mm)

Geology and enthalpy

Average

capacity

(MW)

Geology code

1 2 3 4 5

Re

sou

rce

co

de

1

2 3.6

• Rock formation and enthalpy of the

resource should significantly affect

the productivity

• Expect capacity to increase with

Re

sou

rce

co

de 2 3.6

3 3.4 3.0

4 4.8 6.4 6.7 6.1

5 5.0 5.9 5.4

6 7.6 8.2

7 8.4 6.9

• Expect capacity to increase with

enthalpy� Enthalpy increases with resource code

• Expect rock formations with high

permeability to boost capacity� Especially old volcanic

• Capacity roughly follows

expectations

24

Impact of geology on capacity and success

• Granitic rocks tend to have low

porosity/unpredictable permeability

(depending on fractures) and hence

capacity is low

• The cracks present in old rock formations

boost productivity70%

80%

90%

100%

7.0

8.0

9.0

10.0

Average capacity (MW)

Capacity and success by geology

boost productivity� Volcanic rock may be alternate layers of ash and

lava – permeability changes significantly between layers

• Basement rocks have similar permeability

to granitic, if cracks are lacking

• Geology does not appear to affect success

rates� Higher rate for Code 4 due to lower MW

threshold of success for some fields

25

0%

10%

20%

30%

40%

50%

60%

70%

0.0

1.0

2.0

3.0

4.0

5.0

6.0

7.0

1 2 3 4 5

Success

Average capacity (MW)

Geology code

Impact of enthalpy on capacity and success

• Resource code is closely related to

enthalpy� Capacity should increase with enthalpy

• Capacity does generally increase

with resource code, but not strictly70%

80%

90%

100%

7.0

8.0

9.0

10.0

Average capacity (MW)

Capacity and success by resource type

with resource code, but not strictly� Estimations of resource temperature in

the exploration phase will be key in estimating future well capacities

• Maximum capacity of a well does

increase with resource code

• Success appears independent of

resource code

26

0%

10%

20%

30%

40%

50%

60%

70%

0.0

1.0

2.0

3.0

4.0

5.0

6.0

7.0

2 3 4 5 6 7

Success

Average capacity (MW)

Resource code

Impact of re-drilling on capacity and success

• 16% of wells have been re-drilled

• Re-drilling does improve success� 77% of original wells are successful

� 87% of re-drilled wells are successful14

16

18

20

Variation in success rates of original and re-drilled wells

• Re-drilling tends to have almost

100% success, or 0% success,

depending on the field

• Re-drilled wells also tend to have a

higher capacity� 7.2MW for original wells

� 8.1MW for re-drilled wells

27

0

2

4

6

8

10

12

14

>=0%<=10%

>10%<=20%

>20%<=30%

>30%<=40%

>40%<=50%

>50%<=60%

>60%<=70%

>70%<=80%

>80%<=90%

>90%<=100%

# of fields

Success rate range

Conclusions

• ROI is the best measure of drilling success, but is often not practical� Drilling cost per MW is easier, but just the MW output is normally used, irrespective of cost

� Assigning low productivity wells as injectors or observation wells complicates things further

• Overall, 78% of wells drilled were successful and the most common capacity is

3MW, though average capacity is 7.3MW� A strong learning curve is seen in success, but not in capacity, as a project progresses

� Success is very unpredictable in the Exploration phase� Success is very unpredictable in the Exploration phase

• Wells can be drilled to almost any depth (<5km is normal), though 2.2km is the

most frequent depth� Most fields have wells drilled to a wide range of depths

� Depth does not impact likely success or capacity

• Enthalpy and geology affect well capacity, but not success

• Re-drilling improves success and capacity

28

Accessing the data

• The analysis is still being finalized

� The results presented here are based on a preliminary look at the data

• IFC will be releasing a report based on this data, and the data

itself, to the publicitself, to the public

� Expected to be in the next couple of months

• Please contact me if you would like to be kept up to date on

the release of the report and data

� thardingnewman@ifc.org

29

ANY QUESTIONS?

30

ANNEX – Individual fields

31

Improvements in success and capacity

7

8

9

10

70%

80%

90%

100%

Cumulative average capacity (MW)

Field 1.1

32

0

1

2

3

4

5

6

7

0%

10%

20%

30%

40%

50%

60%

70%

1 3 5 7 9 11 13 15 17 19 21 23 25 27 29 31 33 35 37 39 41 43 45 47 49

Cumulative average capacity

Success

Well number

Improvements in success and capacity

7

8

9

10

70%

80%

90%

100%

Gross Capacity (MW)

Field 2.2

33

0

1

2

3

4

5

6

7

0%

10%

20%

30%

40%

50%

60%

70%

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36

Gross Capacity (MW)

Success

Well number

Series1 Series2

Improvements in success and capacity

20

25

70%

80%

90%

100%

Cumulative average capacity (MW)

Field 2.8

34

0

5

10

15

0%

10%

20%

30%

40%

50%

60%

70%

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25

Cumulative average capacity

Success

Well number

Improvements in success and capacity

7

8

9

10

70%

80%

90%

100%

Cumulative average capacity (MW)

Field 3.4

35

0

1

2

3

4

5

6

7

0%

10%

20%

30%

40%

50%

60%

70%

1 3 5 7 9 11 13 15 17 19 21 23 25 27 29 31 33 35 37 39 41 43 45 47 49

Cumulative average capacity

Success

Well number

16

18

20

80%

90%

100%

Cumulative average capacity (MW)

Field 3.8

36

0

2

4

6

8

10

12

14

0%

10%

20%

30%

40%

50%

60%

70%

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36

Cumulative average capacity

Success

Well number