7.2.1 Cost estimation cases

CCS development can be separated into three different phases: demonstration, early commercial deployment and full commercial deployment; the costing exercise reported in the ZEP study focused on early commercial deploycent, with demonstration projects assessed as a special case for comparison. To simulate the difference between early commercial deployment and full commercial deployment the effect of learning has been used (IEAGHG, 2012).

In order to cover a set of potential storage configurations and also provide reliable cost estimates, storage options were separated in six main "representative" cases according to key differentiating features: depleted oil and gas fields (DOGF) vs. deep saline aquifers (SA); offshore vs. onshore (Ons/Offs); and whether there is the possibility of re-using existing (legacy) wells (Leg/NoLeg) (Tab. 7-1). Note that the choice was made to restrict the costing exercise to reservoirs with a depth of 1000 to 3000 m.

Tab. 7-1: ZEP Storage cases. After IEAGHG, 2012.

Case

Location

Type

Re-useable legacy Wells

Abbreviation

1

Onshore

DOGF

Yes

Ons.DOGF.Leg

2

Onshore

DOGF

No

Ons.DOGF.NoLeg

3

Onshore

SA

No

Ons.SA.NoLeg

4

Offshore

DOGF

Yes

Offs.DOGF.Leg

5

Offshore

DOGF

No

Offs.DOGF.NoLeg

6

Offshore

SA

No

Offs.SA.NoLeg

For each of the six cases, three scenarios ("Low", "Medium" and "High") were defined to yield a final storage cost range estimate. The ZEP study also presents a cost breakdown for project components/phases and sensitivity analyses to determine which of the 26 cost elements considered in the study carried the most impact on the final cost.

Data

Generally, DOGF has more data when compared to undeveloped SA. Noteworthy cost differences between DOGF and SA consequently arise in terms of acquiring the necessary data to assess, characterise, develop and monitor the storage sites. Additionally, the cost of exploration to find a proper site is comparatively inferior for DOGF compared to SA, as most of these costs have already been committed a long time ago, while costs for exploring aquifers will still have to be supported.

Field capacity

Based on GeoCapacity Project data, the estimated capacity of individual sites varies significantly, with only a minority exceeding 200 Mt. The base case has been taken to be three storage sites for a typical CO2 stream. Two other cases were considered for sensitivity analysis of the effect of site capacity: five fields and one field for each CO2 stream.

Re-use of wells ("legacy wells")

For SA, it was assumed that no existing well could be re-used for the purpose of CO2 storage. Nonetheless, the possibility of exploration wells being re-used for either injection or monitoring was considered.

For DOGF, two distinct cases were appraised. The first considers the re-use of existing wells, subject to including possible work over costs to ensure their suitability as injection/monitoring wells. In the second case, existing wells are considered unsuitable for re-use. An optimisation process needs to be established in order to balance the work over of an adequate number of wells vs. drilling new wells on the one hand and, on the other hand, properly abandoning wells that may represent a risk to permanent CO2 storage.

Hence, the two cases considered may be seen as boundary cases for what could happen in reality. For simplification reasons, it was assumed that sites with wells that can technically and/or financially not be remediated, or would achieve an unacceptable well integrity, will be de-selected from the site selection procedure.

Assumptions

A number of common assumptions were established and applied for consistency across ZEP studies on the costs of CCS. The assumptions with the maximum impact on storage cost estimates are summarised below. Note that to remain independent of the capture technology selection, storage costs relate to tonnage of CO2 stored, not abated (IEAGHG, 2012).

Energy costs

As a result of limited energy requirement of CO2 storage, parasitic emissions caused by storage activities are considered as low.

Project lifetime

The project operational life is assumed to be 40 years of injection for commercial projects and 25 years for demonstration projects. In both cases, this is followed by 20 years of post-injection monitoring, before hand-over of liability to the Competent Authority. The commercial case is taken as the base case, whereas the demonstration phase is modelled using a sensitivity analysis (shortening the lifetime of the project). Note that 40 years is longer than the average expected lifetime of a wWellbore without intervention.

CO2 stream

Another assumption is an annual storage rate of 5 Mt, which calls for 200 Mt of CO2 storage capacity over a 40-year plant lifetime. Such capacity matches up with the CO2 emissions of a typical coal-fired power plant equipped with CO2 capture technologies. Deviation of this rate has not been modelled explicitly, but it is dealt with by varying the available storage field capacities. The CO2 was assumed to be delivered by pipeline or ship in dense phase and in a state that is "fit-for-purpose" for injection, meaning that no further pressurising or conditioning equipment is required at the injection location.

Availability of storage

A basic consideration is the availability and capacity of suitable storage sites. Data were made available from the EU GeoCapacity Project database, comprising 991 potential storage sites in SA and 1388 DOGF in Europe.

Currency and time value of money

The reported costs are in Euros, cost basis is European. As input is centred on global experience in a predominantly dollar-based industry, the currency exchange rate used in the ZEP study for conversion is $1.387 = €1. Expenses are split between capital expenditure (CAPEX) and operational costs (OPEX). The CAPEX/OPEX split applied is specific to storage projects and operations.

The cost of capital for investment, WACC (Weighted Average Cost of Capital) is assumed to be 8% as a base case. WACC could be of great importance given the long duration of projects. For that reason, sensitivity studies were also carried out, within ZEP studies, with values of WACC of 6% and 10%, in line with previously published work.

The CAPEX was annualised and discounted back to present via WACC. The OPEX was not adjusted, i.e., it was assumed that the influence of inflation would be cancelled out by the effect of discounting. Note that the results vindicate this hypothesis, e.g. the learning rate applicable to OPEX COsts has very little influence on the overall expenditures.

Post-closure, monitoring, measurements and verification (MMV) costs are handled in the same manner as decommissioning costs, with one supplementary step. The costs (taking place in years 41-60) are first summed,then transformed into Present Value by means of the discount factor for year 40, and then annualised. As a result, the discount factor used (1/21.7 for 8% WACC) is somewhat too large. However, since costs are incurred so late in the life of the project, their impact to the cost of storage is already very small, so the effect of using the correct discount factor, which is even minor, is not material.

Summary of all the cost elements considered

A total of 26 cost elements were considered for the computation of the cost of CO2 storage. Cost items were presented with their base case value ("most likely"). For the top eight cost drivers, those considered to have a major impact on the overall cost of storing CO2, "minimum" and "maximum" values used for computing cost ranges and carrying out sensitivity studies were also reported. Tab. 7-2 presents the eight major cost drivers with the associated "most likely", "minimum" and "maximum" values that have been used for the sensitivity analysis.

Tab. 7-3 presents the other 18 cost elements together with their associated values. The motive for not considering such cost elements in a sensitivity analysis was that either the resulting sensitivity would be small as the cost effect of these cost elements is small, or the sensitivity range would be too small as that particular parameter is well understood from experience in the oil and gas exploration and production industry.

Tab. 7-2: Main cost elements of the ZEP study. After IEAGHG (2012).

Cost driver

Medium case assumption

Sensitivities

Rationale

Field capacity

66 Mt per field

  • 200 Mt per field

  • 40 Mt per field

Based on GeoCapacity project data

Well injection

0.8 Mt/yr per well

  • 2.5 Mt/yr

  • 0.2 Mt/yr1

Medium value based on actual projects; High and low based on oil and gas industry experience

Liability transfer costs

1.00 per tonne CO2 stored

  • 0.2

  • 2.00

Rough estimate of liability transfer cost;

Wide ranges reflect uncertainty

WACC

8%

  • 6%

  • 10%

Same range as McKinsey study, September 2008

Well depth

2000m

  • 1000m

  • 3000m

Well costs strongly depend on depth2

Well completion costs

Based on Industry experience, offshore cost 3 times onshore cost

  • -50%

  • +50%

Ranges based on actual project experience

#Observation wells

1 for onshore; nil for offshore

  • 2 for onshore;

  • 1 for offshore

1 well extra to better monitor the field

# Exploration wells

4 for SA; nil for DOGF

  • 2 for SA, nil for DOGF

  • 7 for SA, nil for DOGF

DOGF are known, therefore no sensitivities needed; SA reflects expected success rate

1 0.2 Mt/yr not modelled for offshore cases as costs would become too high to be viable.

2 Supercritical state of CO2 occurs at depths below 700-800m.

Tab. 7-3: Additional cost elements considered for storage in the ZEP study. After IEAGHG (2012).

Cost driver

Assumption

Re-use of exploration wells

1 out of 3 wells is re-usable as an injection well; others are not located correctly, do not match the injection depth etc.

Utilisation

Utilisation is 86%, implying a peak production of 116% average

Contingency Wells

10% of the required number of injection wells is added as a contingency, with a minimum of 1 per field

Well re-tooling cost

Re-tooling legacy wells as exploration wells, or exploration wells as injection wells, costs 10% of building the required well from scratch

Operations and Maintenance

4% of CAPEX cots for platform and new wells

Injection testing

Fixed cost per field

Modelling/logging costs

Fixed cost per field; SA costs ~ 2 times as much as DOGF

Seismic survey costs + MMV Baseline

Fixed cost per field; offshore costs ~ 2 times as much as onshore. In addition, at the end of its economic life, final seismic survey is performed prior to handover (costs discounted for time value of money)

MMV recurring costs

Fixed cost per field; offshore costs ~ 2 times as much as onshore

Permitting costs

1M per project

Well remediation costs

Provision ranging from nil to 60% of new well costs, based on the possibility of risky wells and the costs of handling them

Platform costs

For offshore there are platform costs: SA is assumed to require a new platform; DOGF is assumed to require refurbishment of an existing platform

Decommissioning

15% of CAPEX of all operational wells and CAPEX platform

Post-closure monitoring

20 years after closure, at 10% of yearly MMV expenses during first 40 years

Economic life

40 years; demonstration phase 25 years (in line with assumptions for CO2 capture)

Learning rate

0% as CO2 storage technologies are well known and build on oil and gas industry experience

Exchange rate

1.387 USD/EUR (as of 6 October 2010)

Plant CO2 yearly captured

CO2 captured is assumed to be 5Mt per year. Variation in the amount captured is implicitly modelled by variation in storage field capacity as a sensitivity