Drilling data - THN - 20120703 · Title: Microsoft PowerPoint - Drilling data - THN - 20120703...

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Geothermal Drilling Geothermal Drilling Tom Harding-Newman Energy Specialist July 2012 An analysis of global data

Transcript of Drilling data - THN - 20120703 · Title: Microsoft PowerPoint - Drilling data - THN - 20120703...

Page 1: Drilling data - THN - 20120703 · Title: Microsoft PowerPoint - Drilling data - THN - 20120703 Author: THardingnewman Created Date: 20120703164850Z

Geothermal DrillingGeothermal Drilling

Tom Harding-NewmanEnergy Specialist

July 2012

An analysis of global data

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Agenda

• Background / context

• Defining success

• Highlights

� Success

� Capacity

• Factors affecting success and capacity

• Conclusions

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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• Do not quote or cite any findings• Do not quote or cite any findings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� [email protected]

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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

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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

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Data compiled by GeothermEx

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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

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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

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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

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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%

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• 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

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Success

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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

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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

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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

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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

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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

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0%

20%

40%

60%

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

Success

Decade

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Well capacity

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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

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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)

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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

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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

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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

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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

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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

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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

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Factors affecting success

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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

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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

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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

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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)

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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

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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)

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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

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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

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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

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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

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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

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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

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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

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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

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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

[email protected]

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ANY QUESTIONS?

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ANNEX – Individual fields

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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

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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

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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

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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

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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