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Report Summary
Alve is located about 16km (kilometers) southwest of Norne in the Norwegian Sea. Alve is a small gas and condensate field that covers an area of 77.44km2 (square kilometers). The Alve field was discovered in 1990 in the permit 6507/3 by StatoilHydro ASA. The discovery of the Alve field in 1990 led to the discovery of the Norne oil and gas field, which came on stream in 1997.
StatoilHydro ASA has been the operator of the Alve field since its discovery. StatoilHydro ASA owns the maximum equity stake (85%) in the field. DONG E&P Norge AS is the other partner of the field with an equity stake of 15%.
Production from Alve started in March 2009. Alve produced about 1,627 thousand barrels of crude oil and 32 billion cubic feet of gas during 2009. The expected maximum gas production from the field is around four million m3 (cubic meters) of gas per day.
The field life of Alve is expected to be around seven years with complete abandonment during 2015. The field is expected to generate $2.29 billion in revenues (undiscounted) during its remaining life (starting January 1, 2010) and is expected to yield an IRR of around 25.57%.
Scope
- The report provides detailed information on oil and gas production, infrastructure, reserves, geology, operator and equity partners and the latest fiscal terms applicable to the asset and provides its fair value (Remaining Net Present Value) based on remaining reserves, forecast production, capital and operational costs, fiscal regime and commodity prices.
- The report also provides additional valuation parameters like Internal Rate of Return (IRR), Profitability Index (PI), Pay Back (discounted and undiscounted), Entitlement Production (EP) and Working Interest (WI) to enhance your decision making process.
- This report provides detailed sensitivity analysis of the remaining NPV with changes in the commodity prices, discount rate, production and key fiscal terms.
- Detailed cash flows over the life of the asset are included in the report. These cash flows cover a wide range of calculations related to various payments to the government/licensing authority.
- Interactive Excel models can be used to derive custom valuations, sensitivities and cash flows based on the specific inputs by the user in the model. These custom inputs vary from production data, cost information, price information and fiscal terms information.
- Make well informed investment decisions based on detailed operational analysis and cash flow forecasts
- Estimate the fair value of your future investment under different economic and fiscal conditions
- Value a prospective investment target through a comprehensive analysis using focused forecasting and valuation methodologies.
- Supporting interactive excel model will enhance your decision making capability in a more rapid and time sensitive manner
- Evaluate how the changes in the country’s fiscal policies impact the cash flows and the present value of the asset
1.1 List of Tables 4
1.2 List of Figures 4
2 Rhum, United Kingdom, Introduction 5
3 Rhum, United Kingdom, Geology and Formations 6
4 Rhum, United Kingdom, Equity Partners 7
5 Rhum, United Kingdom, Crude Oil and Natural Gas Reserves 8
6 Rhum, United Kingdom, Key Fiscal Terms 9
6.1 Royalty 9
6.2 Bonus 9
6.3 Rentals 9
6.4 Fees 9
6.5 Taxation 9
6.6 Petroleum Revenue Tax (PRT) 9
6.6.1 Various relief’s and deductions are available against income assessed for PRT liability: 9
6.7 Deductions 10
6.8 Capital Allowance 10
6.9 Withholding Tax 10
6.10 Ring Fence 10
7 Rhum, United Kingdom, Infrastructure 11
7.1 Upstream Infrastructure 11
7.2 Midstream Infrastructure 11
8 Rhum, United Kingdom, Field Development Plan 11
9 Rhum, United Kingdom, Natural Gas and Condensate Production 13
10 Rhum, United Kingdom, Field Economics 15
10.1 Rhum, Economic Assumptions 15
10.1.1 Forecast Commodity Prices 15
10.1.2 Inflation 16
10.1.3 Discount Rate and Representation of Cash Flows 16
10.1.4 Sensitivity 16
10.1.5 Access to the Economic Model 16
10.2 Rhum, United Kingdom, Cash Flow Analysis 17
10.3 Rhum, United Kingdom, Remaining PV Sensitivity Analysis 18
10.3.1 Remaining NPV Sensitivity to Discount Rates 18
10.3.2 Remaining NPV Sensitivity to Change in Commodity Prices and Production 19
10.3.3 Remaining NPV Sensitivity to Income Tax and Production Rate 20
11 Rhum, United Kingdom, Summary Cash Flows 21
11.1 Rhum, United Kingdom, Front End Load Due To Fiscal Policy 22
11.2 Rhum, United Kingdom, Tax Liability 23
12 Appendix 24
12.1 Methodology 24
12.2 Coverage 24
12.3 Secondary Research 24
12.4 Primary Research 24
12.5 E&P Forecasts 25
12.6 Capital Costs 25
12.7 Exploration and Appraisal (E&A) Costs 25
12.8 Operating Costs 25
12.9 Expert Panel Validation 26
12.10 About GlobalData
12.11 Contact Us
12.12 Disclaime
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