Long Term Prospects for Activity in the UKCS

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Presentation transcript:

Long Term Prospects for Activity in the UKCS Professor Alex Kemp and Linda Stephen University of Aberdeen

Source: OGA

Source: OGA

Source: BEIS

Source: BEIS

Source: OGA

Source: OGUK

Employment in the UK Offshore Oil and Gas Industry 2013 2014 2015 2016 2017 Direct 36,600 41,300 37,300 29,500 28,300 Indirect 198,100 206,100 163,100 150,600 141,900 Induced 206,200 216,500 173,400 135,300 132,000 Total Employment 440,900 463,900 373,800 315,400 302,200 Source: OGUK, 2017

Cash Flows from the UKCS Source:

UK Oil and Gas Reserves and Resources (bnboe) 2P 5.7 Contingent Resources 2C Producing Fields 2.3 Proposed New Developments 1.9 Other Discoveries 3.2 Prospective Resources Central 6.0 Source: OGA Production to date c. 44 bn boe

Economic Model

Large field-based financial simulation model incorporating Monte Carlo technique for risk analysis. Model incorporates all evolving taxation arrangements since 1960’s. Large field database with following features:

Historic production, investment costs (drilling and facilities separately), operating costs (tariffs separately), decommissioning costs. Data from successive OGUK field database plus other sources (e.g. DECC production data) Data on sanctioned fields, probable and possible fields and incremental projects all relating to future activity sourced from OGUK field database. All these incorporate key data and expected phasing through time.

Currently numbers of fields are as follows: (i) Sanctioned fields 404 (ii) Incremental projects 51 (iii) Probable fields 14 (iv) Possible fields 14

Separate database of fields classified as technical reserves Separate database of fields classified as technical reserves. Information from private and public sources. Total number currently is 249. Some were formerly in possible category where substantial data exist. For many only data relate to location, type (oil, gas, condensate), block number, and expected size of reserves.

Future incremental projects Future incremental projects. Current incremental projects are generally planned to be executed over 3-year period. Future incremental projects are modelled to continue trends in sizes, costs, types, and locations experienced over the last few years. A 5-year running average of past trends employed to make projections. Such data includes the considerable numbers of incremental projects where there is no directly attributable income.

New discoveries modelled according to the following procedures: Exploration effort based on combination of (i) recent experience and (ii) prospective oil/gas price behaviour (sustained). Success rates based on combination of (i) experience in recent years and (ii) size of effort. In relation to (ii) it is assumed that higher effort is associated with more discoveries but lower success rate than with medium effort. For whole of UKCS success rates: Medium Effort = 30% Low Effort = 33% Technological progress maintains these success rates in the period to 2045.

The aggregate historic data on (i) exploration effort and (ii) discoveries were disaggregated according to main regions, namely SNS, CNS/MF, NNS, WOS and IS. Regional trends were established for relative exploration effort, discoveries and success rates. This includes splitting according to type (oil, gas and condensate).

Investment Screening Prices Oil Price (real) $/bbl Gas Price (real) P/therm 50 40 60

Using the above information the Monte Carlo technique was employed to project discoveries in all 5 regions in the period to 2045. In the Monte Carlo modelling it was assumed that the size distribution of discoveries would be lognormal following historic evidence. The SD was set at 50% of the mean value. The mean size of field decline through the period was again based on recent historic evidence. Monte Carlo modelling was also used to calculate the field development costs. For each region the average development cost (per boe) of fields sanctioned recently plus the probable and possible fields was calculated. The SD was assumed to be 20% of the mean.

The numbers of exploration wells (linear trend) in relation to the 2 price cases 2017 2030 2040 2045 Medium 15 12 10 9 Low 7 6

Total Number of Discoveries to 2045 Medium effort/Lower Success Rate 117 Low Effort/Medium Success Rate 97

Costs of New Discoveries and Technical Reserves For new discoveries average based on average costs of probable and possible fields. After cost reductions these are now estimated for all of UKCS as follows: Development costs $16.66/boe Operating costs $11.55/boe Total (incl. decommissioning costs) $34.8/boe A wide range of costs was found for UKCS as whole and within each of the 5 regions.

For fields in the category of technical reserves average development costs were set at $5 per boe higher than those for probable and possible fields. Annual operating costs are modelled as a percentage of accumulated development costs with the percentage increasing the smaller the field size. Monte Carlo modelling was employed to determine the distribution of sizes of reserves and field development costs with SD equal to 50% of mean values for reserves and 20% for development costs.

Operation of Model The model calculates the post-tax returns on the probable and possible fields, and the new discoveries as they are made. If they pass the investment hurdle they go ahead. The fields in the technical reserves category are then tested. Generally there is no knowledge of the possible timing of any developments in this last category.

Operation of Model To determine the order in which they may be developed each field is given a number and the Monte Carlo technique is used to draw randomly from a uniform distribution. A selected field is then tested against the investment hurdle criterion. If it passes and the total for the year is within the financial and capacity constraint the development proceeds.

Operation of Model If it fails the investment hurdle it does not proceed. Generally it was found that in the early years not many technical reserves fields were called on. In (much) later years when the numbers of fields in the probable, possible and new discoveries categories were low more technical reserves were called on. But many failed investment hurdle.

Investment Hurdle Criteria NPV (post tax) / I (pre tax) ≥ 0 Investment Hurdle Criteria NPV (post tax) / I (pre tax) ≥ 0.3 with discount rate of 10% in real terms

Source: OGA

Cumulative Expenditures to 2050 (£bn 2017) Hurdle NPV/I > 0.3 Prices $50 and 40 pence (real) $60 and 50 pence (real) Development 63.6 89.3 Operating 101.6 123.7 Decommissioning 52 54.2 TOTAL 217.2 267.2

The Unexploited Potential in the UKCS in Context (bn boe) Table A1 The Unexploited Potential in the UKCS in Context (bn boe) 1 $50, 40 pence real prices NPV/I > 0.3 NPV/I > 0.5   (a) Current Expectation 8.79 7.2 (b) Unexploited Potential 6.9 8.25 2 $60, 50 pence real prices 10.75 9.45 5.6 6.83

For details see The Prospects for Activity in the UKCS to 2050 under “Lower for Longer” Oil and Gas Price Scenarios, and the Unexploited Potential, by A G Kemp and Linda Stephen, North Sea Study Occasional Paper No. 138, https://www.abdn.ac.uk/research/acreef/working-papers/