IDENTIFYING AND QUANTIFYING RISKS AND UNCERTAINTIES IN DEVELOPING AN OFFSHORE OILFIELD UNDER VARYING OIL PRICE REGIMES

Similar documents
PETROLEUM INDUSTRY REFORM IN NIGERIA: SIMULATION ANALYSIS OF ITS IMPACT ON DEEPWATER E&P ECONOMICS

PROBABLISTIC EVALUATION OF ONSHORE MARGINALOIL FIELDS DEVELOPMENT IN NIGERIA

Angola s E&P Fiscal Regime In a Global Context. Delivering commercial insight to the global energy industry

Fiscal Regime Changes for Maximizing Oil Recovery from offshore continental shelf oilfields

Evaluating and Comparing Fiscal Regimes for EI

The Impact of Gulf of Mexico-Deepwater Permit Delays on US Oil and Natural Gas Production, Investment, and Government Revenue

SPE Seminar: Introduction to E&P. Economics & Commercial. November 21 st, Lamé Verre Halliburton. All rights reserved.

TONY MILSOM Specialist Risk Engineering KPC

CHAPTER 2 LITERATURE REVIEW

Recent Developments in Production Forecasting and Optimisation Methods

Click to edit Master title style. Evaluating Fiscal Regimes for Resource Projects: An Example from Oil Development. Click to edit Master text styles

How to Consider Risk Demystifying Monte Carlo Risk Analysis

Modelling Mining and Oil Projects & Fiscal Regimes

SCAF Workshop Integrated Cost and Schedule Risk Analysis. Tuesday 15th November 2016 The BAWA Centre, Filton, Bristol

CA. Sonali Jagath Prasad ACA, ACMA, CGMA, B.Com.

Exploration & Production Accounting Level 1

Doheny Desalination Project Value-for-Money Analysis. March

Parallel Roundtable 2: Fiscal Regimes and Legal Reform to Attract Investment in the Energy Sector. Background Paper

Introduction to the Toolkit Financial Models

Risk and Uncertainty Management Best Practices and Misapplications for Cost and Schedule Estimates SPE 97269

Indicative Viability Calculator for Facilitation of Prospective Bidders

Guarantees in insurance products

Evaluation of True Government Take under Fixed and Sliding Royalty Scales in Nigerian Oil Industry

SENSITIVITY ANALYSIS IN CAPITAL BUDGETING USING CRYSTAL BALL. Petter Gokstad 1

The Economics of Enhanced Oil Recovery (EOR) in the UKCS and the Tax Review

EFFICIENCY OF BOLIVIAN HYDROCARBON RESOURCE DEVELOPMENT: CASE STUDY OF A MEGA-FIELD IN THE CONTEXT OF REGIONAL MARKETS AND POLICY FRAMEWORK INCENTIVES

A review of upstream fiscal terms in North Africa Algeria, Egypt, Morocco and Tunisia

Field Development Tax Incentives for the UK Continental Shelf (UKCS)

Evaluation of real options in an oil field

5 Day. Project Economics, Risk & Decision Analysis. O&G Knowledge Sharing Platform Enhancing Return on Investment in Oil & Gas Training.

Subject ST2 Life Insurance Specialist Technical Syllabus

University 18 Lessons Financial Management. Unit 2: Capital Budgeting Decisions

Economic Feasibility and Investment Decisions of Coal and Biomass to Liquids

Africa Upstream Fiscal Systems: Evaluation and Rating, and Analysis of State Company Participation

Economic Feasibility and Investment Decisions of Coal and Biomass to Liquids 1

GeoNeurale. The Fundamentals of Upstream Petroleum Economics and Risk Analysis. GeoNeurale training center Munich

AN APPLICATION OF PORTFOLIO OPTIMIZATION WITH RISK ASSESSMENT TO E&P PROJECTS

Introduction to RELCOST. Carolyn Roos, Ph.D. Northwest CHP Technical Assistance Partnerships Washington State University Energy Program

Chapter 10 The Basics of Capital Budgeting: Evaluating Cash Flows ANSWERS TO SELECTED END-OF-CHAPTER QUESTIONS

Granting Documents. Upstream Contract Models with Governments. For IGU Rio de Janeiro Adauto Carneiro Pereira PETROBRAS

Mexico Round 1 Fiscal Terms: How to Avoid the Risk of Gold Plating. Contact: January 24, 2015 Page 1 of 12

EQUATOR EXPLORATION LIMITED Exploring West African Waters. Corporate Presentation June 2006

BASIC ACCOUNTING 3 RETURN ON INVESTMENT. Cast thy bread upon the waters: for thou shalt find it after many days. --Ecclesiastes 11:1 (KJV)--

23rd Africa Oil Week October 2016

Production sharing contract: An analysis based on an oil price stochastic process

Project Appraisal and Selection

Guidance on satisfactory expected commercial return (SECR)

USAEE/IAEE CONFERENCE RIDING THE ENERGY CYCLES

Software Economics. Introduction to Business Case Analysis. Session 2

Life Cycle Analysis Money... and More

Indonesia Oil and Gas Policy Reform

INSTITUTE AND FACULTY OF ACTUARIES. Curriculum 2019 SPECIMEN SOLUTIONS

Q1 Conference Call. May 3, Innovation & Technology Leaders. Knowledge First Culture. Value Creators

NIGERIA 2005 BID ROUND

Software Economics. Introduction to Business Case Analysis. Session 3

Basics of Petroleum Economics

Probabilistic Benefit Cost Ratio A Case Study

Generating Extractive Industry Revenues

Cost Risk and Uncertainty Analysis

Software Economics. Introduction to Business Case Analysis. Session 2

FINANCIAL APPRAISAL OF PROJECTS

TransGlobe Energy Corporation Announces 2017 Year-End Reserves

Offshore Oilfield Infrastructure Planning under Complex Fiscal Rules

Can Long Term Activity in the UK Continental Shelf (UKCS) Really be Transformed?

CHOA Fall Business Conference Jared Wynveen Associate

EWS (USA) LLC. A Proposal for Investing in United States Onshore Producing Oil & Gas Properties. December 2016

Multi-stage Interventions to Promote Persistent Plug-load Energy Savings in Office Buildings

ANNUAL STATEMENT OF RESERVES 2010 DNO INTERNATIONAL ASA

Chapter 7. Net Present Value and Other Investment Rules

Field Development Plan. Jan Bygdevoll Discipline leader Reservoir Engineering Norwegian Petroleum Directorate Manila 7.

Using the World Industry Service to Stress Test Credit Portfolios. November 2008

Home Affairs Bureau. Detailed Financial Profile of the Procurement and Financing Options related to the Multipurpose Sports Complex (MPSC) at Kai Tak

ENTELLIGENT S SMART CLIMATE PORTFOLIO OPTIMIZER Smart Climate Data Solutions

The Value of Flexibility to Expand Production Capacity for Oil Projects: Is it Really Important in Practice?

August Asset/Liability Study Texas Municipal Retirement System

Project Theft Management,

Third quarter 2017 earnings conference call and webcast

Citigroup Inc. Basel II.5 Market Risk Disclosures As of and For the Period Ended December 31, 2013

Audio Webcast. May 14, :30 a.m. CT

Integrated Cost-Schedule Risk Analysis Improves Cost Contingency Calculation ICEAA 2017 Workshop Portland OR June 6 9, 2017

The Implications of Different Acceptable Prospective Returns to Investment for Activity in the UKCS

Investment allocation with capital constraints.

Investor Presentation March Highly leveraged oil producer and explorer

Basic Principles of Probability and Statistics. Lecture notes for PET 472 Spring 2012 Prepared by: Thomas W. Engler, Ph.D., P.E

Ministry of Petroleum and Natural Gas Government of India. OALP Bid Round I DGH. January 18, 2018 New Delhi. Directorate General of Hydrocarbons

Can the Transfer of Tax History Enhance Later Field Life Transactions in the UKCS?

What Is Asset/Liability Management?

Subject SP2 Life Insurance Specialist Principles Syllabus

CAMAC ENERGY INC. FORM 10-Q/A. (Amended Quarterly Report) Filed 07/18/14 for the Period Ending 03/31/14

Review of the royalty regime for minerals. Discussion paper

Analytical Tools for Debt Management Strategies: Cost at Risk Methodology

METHODOLOGY For Risk Assessment and Management of PPP Projects

Guidelines to Exploration and Mining Investment

ECONOMIC EVALUATION OF CAPITAL PROJECTS. 23 rd Jan 2017

What Is a Project? How Do We Justify a Project? 1.011Project Evaluation: Comparing Costs & Benefits Carl D. Martland

Corporate appendix Chevron Corporation

Economic Analysis of Shoal Point Energy s Green Point Shale Prospect

Notes for CHEE 332 Report

December 9, City of Farmington Integrated Resource Planning (IRP)

PROPOSED ACQUISITION OF STAG OILFIELD

Transcription:

IDENTIFYING AND QUANTIFYING RISKS AND UNCERTAINTIES IN DEVELOPING AN OFFSHORE OILFIELD UNDER VARYING OIL PRICE REGIMES By Adeogun Oyebimpe, Wumi Iledare, Green Ovunda Emerald Energy Institute University of Port Harcourt UNITED STATES ASSOCIATION for ENERGY ECONOMICS CONFERENCE, HOUSTON, NOVEMBER 2017

Outline Background Geographical Distribution of Global Oil and Gas Resources Oil Price History and Impact Deepwater Fiscal System in Nigeria Model Specifications and Assumptions Performance Metrics and System Measures Results Conclusion

Background In recent years, the oil and gas industry has witnessed a sharp decline in oil price as a result of The emergence US shale oil and gas production, Supply disruptions due to militancy especially in Nigeria Geopolitics Projects undertaken in the oil and gas industry is characterized by a measure of risk and uncertainties in the entire life cycle. The decision to either accept or reject a project is dependent on how best these risks are managed. World bank projected oil price of $55/bbl; how sustainable for oil and gas companies

Geographical Distribution of Global Oil and Gas Resources

5, 10, 15, 20 and 25 Years Moving Average Oil Price (World Bank, 2016) 5 year Moving average Oil Price - $92.02 10 year Moving average Oil Price - $83.33 15 year Moving average Oil Price - $66.84 20 year Moving average Oil Price - $55.08 25 year Moving average Oil Price - $47.59

Impact of Decline in Oil Price Source: Wood Mackenzie, 2016 Decline in global offshore drilling rig services in the last few years.

Oilfields Reserves Size in Deepwater in Nigeria

Deep water Petroleum Fiscal System in Nigeria Existing PFS in Nigeria Concessionary or Royalty & Tax (R/T) system 2000 R/T Contractual system 1993 PSC 2000 PSC 2005 PSC Reforms are currently ongoing in Nigeria to include fiscal instruments that are flexible enough to address fluctuations in oil prices and other externalities 8

Deep water Petroleum Fiscal System in Nigeria 9

Model Formulation and Assumption Deterministic Model Discounted Cash Flow Assumed Fiscal System Production Sharing Contract Hypothetical 250 MM bbl field located offshore is evaluated under contractual fiscal regime Expected Model Output Variable for decision making NPV, IRR, Discounted Payout Period, Profitability Index, Host Government Take Stochastic Simulation Monte Carlo Simulation using @Risk, an add-in on Excel Spreadsheet

Model Assumptions Most Likely Oil Price $55/bbl, Minimum Price - $35/bbl and Maximum - $75/bbl Tangible cost is assumed to be 70 % of total CAPEX Fixed OPEX 5% of gross revenue Escalation rate of 2% for a nominal economic model Discount rate assumed 15% for government and contractor cash flow model Production commenced in the fifth year to allow time for exploration, G & G services and facility installation Abandonment cost is 1% of depreciated CAPEX. Straightline Depreciation of tangible CAPEX is applied for 5 years as legislated in Nigeria.

Model Input Parameters Input Parameters Production period 19 years Estimated Reserve 250 MMBBL Initial Oil Production 15000 BOPD Build up period (Oil) 5 years Oil Peak rate 68493 BOPD Plateau Period (Oil) 3 years Total Period 24 years Build up production 62.50 MMBBL Plateau production 75.00 MMBBL Effective Decline rate (Oil) 0.1729 Total Wells to drill 15 Average Well cost 84 $mm

Model Specification After Tax Net Cash Flow for contractual systems are given in the equation below: NCF = GR t ROY t CAPEX t OPEX t BONUS t PO G t - TAX t OTH t Where: NCF = After Cash Net Cash Flow in year t GR t = Gross Revenue in year t ROY t = Total Royalties paid in year t CAPEX t = Total capital Expenditure in year t (Both tangible and intangible) OPEX t = Total Operating Expenditure in year t BONUS t = Total Bonus paid in year t PO G t = Profit oil share to the government in year t TAX t = Total taxes paid in year t OTH t = Other costs paid in year t PO G t = Profit oil share to the government in year t 13

Performance Metrics and System Measures The IRR is simply the discount rate at which the NPV becomes 0. Mathematically expressed as: NPV r, t = N NCF t 1+IRR t t=0 = 0 NPV r, t = N t=0 NCF t 1+r t PI = 1 +NPV/PV of CAPEX Host Government Take, t HG = NPV (HGT) NPV CT + NPV (HGT) Where: NPV (HGT) = Net present value of host government take, NPV (CT) = Net present value of contractor take r is the discount rate or the cost of capital. Discounted Payout Period 14

Stochastic Model Assumptions @RISK Input Results Performed By: Oyebimpe Adeogun Name Graph Min Mean Max 5% 95% Discount Rate (%) 15.09% 16.54% 30.87% 15.29% 19.07% Exploration Cost ($MM) $ 9.10 $ 10.00 $ 10.98 $ 9.30 $ 10.70 Facilities Cost ($MM) $ 67.71 $ 75.08 $ 82.13 $ 69.85 $ 80.03 Oil Price ($/STB) $ 70.25 $ 74.91 $ 79.63 $ 71.61 $ 78.23 Operating Cost ($MM) $ 18.08 $ 20.03 $ 21.95 $ 18.62 $ 21.35

Deterministic Model Results Oil Price Metric Measures $35/bbl $55/bbl $75/bbl Contractor's IRR (%) 11.90% 18.35% 23.06% NPV ($MM) -178.77 214.96 562.61 Profitability Index 0.824 1.211 1.552 Discounted HGT (%) 126.81% 87.28% 78.66% Payout Period (years) 12.71 10.20 9.16

Project IRR Sensitivity Analysis E & P projects are highly impacted by reserves size, cost and oil price

-$ 300 -$ 200 -$ 100 $ 0 $ 100 $ 200 $ 300 16.5% 17.0% 17.5% 18.0% 18.5% 19.0% 19.5% Stochastic Model Results 0.007 Net Present Value / CONTRACTOR A(CITA) ($MM) -$34 $214 5.0% 90.0% 5.0% 120 Internal Rate of Return / CONTRACTOR A(CITA) ($MM) 17.371% 19.029% 5.0% 90.0% 5.0% 0.006 100 0.005 80 0.004 0.003 Net Prese nt Value / 60 Internal Rate of Return / CONTRA CTOR A(CITA 40 0.002 0.001 20 0.000 0

0.6 0.7 0.8 0.9 1.0 1.1 1.2 1.3 80% 100% 120% 140% 160% 180% 200% Stochastic Model Results 7 Profitability Index / CONTRACTOR A(CITA) ($MM) 0.963 1.213 5.0% 90.0% 5.0% 10 Discounted Take Statistics / HOST GOVT A(CITA) ($MM) 87.2% 103.6% 5.0% 90.0% 5.0% 9 6 8 5 7 4 3 Profitabilit y Index / CONTRA CTOR A(CITA) ($MM) 6 5 4 Discounted Take Statistics / HOST GOVT A(CITA) 2 3 2 1 1 0 0

9.5 10.0 10.5 11.0 11.5 12.0 12.5 13.0 13.5 14.0 14.5 15.0 Stochastic Model Results 1.6 Payout Period (years) / HOST GOVT B4(CITA) ($MM) 10.087 11.099 5.0% 90.0% 5.0% 1.4 1.2 1.0 0.8 Payout Period (years) / HOST GOVT B4(CITA) ($MM) 0.6 0.4 0.2 0.0

$ 150 $ 200 $ 250 $ 300 $ 350 $ 400 $ 450 $ 500 $ 550 Stochastic Model Results Net Present Value / CONTRACTOR A(CITA) ($MM) Inputs Ranked By Effect on Output Mean ASSUMED DISCOUNT RATE / NOMINAL($) $166.22 $529.06 Oil Price ($/STB) / NOMINAL($) $389.39 $438.61 Field/Facilities Cost / Cost/year ($MM/yr) $397.71 $432.25 Input High Input Low Yearly Operating Cost / Cost/year ($MM/yr) $405.77 $433.22 Exploration Cost / Cost/year ($MM/yr) $398.89 $425.70 Baseline = $416.56 Net Present Value / CONTRACTOR A(CITA) ($MM)

Summary of Stochastic Model Results Metric Measures Oil Price $35/bbl $55/bbl $75/bbl P10 P50 P90 P10 P50 P90 P10 P50 P90 Contractor's IRR (%) 11.15% 11.93% 12.63% 17.58% 18.33% 18.90% 22.87% 23.06% 23.25% NPV ($MM) -297.27-228.82-175.43-10.69 130.9 199.16 278.98 459.32 522.45 Profitability Index 0.68 0.77 0.82 1.01 1.13 1.20 1.30 1.46 1.52 HGT (%) 127.00% 144.00% 192.00% 87.79% 90.88% 98.86% 79.18% 80.19.% 84.12% Payout Period (years) 12.64 13.37 15.23 10.13 10.43 10.87 9.2 9.29 9.57

Results and Discussion Deterministic Model Input variables identified to be impacting the performance of the hypothetical field are discount rate, oil price, exploration cost, facilities cost and operating cost. Oil price is a major determinant of the viability of E & P ventures. Deterministic model results gave the following results: IRRs of 11.90%, 18.35% and 22,66% were obtained for the $35/bbl, $55/bbl and $75/bbl price scenarios, assuming a discount rate of 15%. This implies that at extreme low oil price, the interest earned on E & P ventures is unable to pay for the cost of capital. Other economic metric measures also indicate that projects are most viable when oil price is at least $55/bbl

Results and Discussion The stochastic model outputs are NPV, IRR, PI and Discounted Pay-out Period. It is observed that under varying oil price conditions, the average NPV can is ($228.82 MM), $130.9, $522.45 under the varying oil price respectively. Under the same assumptions, the average IRR are 11.93%, 18.33% and 23.25% for a hurdle rate of 15%. The average pay-out period is 13.37 years, 10.43 years and 9.57 years at oil price of $35/bbl, $55/bbl and $75/bbl respectively. This is as expected because at low oil price it takes longer period to recoup the maximum capital exposure of the business venture and vice versa

Results and Discussion The profitability index is a measure of how much the discounted revenue exceeds the cost incurred. PI of 1.13 at $55/bbl implies that the revenue generated is 113% higher than the incurred cost. A profitability index less than 1 signifies that the business is not adding value, as obtained with oil price oif $35/bbl which gave PI of 0.77 as presented in the stochastic simulation result. The tornado chart obtained from stochastic analysis show that discount rate and oil price have the highest impact on field performance. Investments that earn interest rate higher than the cost of capital are most favorable in decision making.

Conclusion The study was conducted to identify and quantify risks and uncertainties associated with developing an oil and gas property offshore under varying oil prices The deterministic model was developed assuming no risk was involved in the analysis, this is unrealistic as E & P ventures are carried out in the presence of inherent uncertainties. Hence, a stochastic simulation is carried out for risk and uncertainty analysis. The cost of capital and oil price were identified as high risk factors in evaluating the performance of an oil and gas property, hence the investor must ensure that a careful evaluation is carried out for sound decision making. Cost benchmarking is expected by investors to ensure that major disruptions in operations is avoided especially in a period of low oil price.

27