Oil & Gas Financial Modelling

Oil & Gas Industry Overview

The oil and gas industry is not a single business but four structurally distinct segments, upstream exploration and production, midstream transport and processing, downstream refining and petrochemicals, and LNG, each governed by different revenue mechanics, asset lives and risk drivers. This guide sets out the industry structure that underlies every model built anywhere in the value chain, and why a modeller's first task is correctly identifying which segment, or combination of segments, a given asset or company sits in before selecting a modelling approach.

Upstream Financial Models

Upstream financial models project revenue and debt capacity from a depleting reserve base using a production decline curve rather than a steady-state or growth volume forecast common to most other industries. This guide sets out how upstream models are structured around exploration and production economics, reserve categories, decline mechanics, fiscal terms, and the reserve-based lending structures that finance the segment, the foundational technical grounding this domain's asset-level and commercial analysis content builds on.

Midstream Financial Models

Midstream financial models cover the gathering, transport, processing and storage of produced hydrocarbons, assets that are effectively non-depleting and whose revenue is instead driven by contracted throughput volumes, regulated or negotiated tariffs, and take-or-pay commitments. This guide sets out how midstream models are structured, the contract mechanics that determine revenue certainty, and why the segment is modelled closer to conventional project finance infrastructure than to upstream reserve depletion.

Downstream Financial Models

Downstream financial models cover refining and petrochemical manufacturing, where revenue and margin are driven by the spread between crude oil or feedstock input cost and refined product or petrochemical output prices, combined with plant utilization and complexity. This guide sets out how downstream models are structured around crack spread economics, capacity and turnaround planning, and product yield, and why the segment's modelling risk centres on margin volatility rather than reserve or volume risk.

LNG Financial Models

LNG financial models sit across the upstream and midstream boundary, depending on a depleting natural gas reserve base for feed gas while also requiring capital-intensive liquefaction infrastructure and long-term offtake sale and purchase agreements to underpin financing. This guide sets out how LNG models are structured around liquefaction train capacity, offtake pricing mechanisms, shipping and regasification economics, and the specific risks, boil-off, price indexation mismatch, and offtake counterparty concentration, that distinguish LNG from both pure upstream and pure midstream modelling.

Integrated Energy Company Models

Integrated energy companies, international majors and national oil companies, operate across upstream, midstream, downstream and, frequently, petrochemicals simultaneously. This guide sets out how a consolidated model for an integrated company should build each segment on its own correct structural basis before consolidating, why segment-level reporting is preserved for capital allocation and valuation purposes, and how integration provides a degree of natural commodity price diversification a single-segment company does not have.

Oil & Gas Financial KPIs

Oil and gas performance is measured against a defined set of sector-specific KPIs that a generic corporate metric set does not capture: reserve replacement ratio, finding and development cost, lifting cost, netback price, reserve life index and EBITDAX. This guide sets out what each KPI measures, how it is calculated, and why reading them together, rather than any single metric in isolation, is required to assess whether a company or asset's production is genuinely sustainable.

Oil & Gas Investment Lifecycle

Oil and gas capital projects move through a defined lifecycle, exploration, appraisal, Final Investment Decision, construction, production, and eventual decommissioning, and the financial model's purpose, structure and level of detail should change at each stage. This guide sets out what each stage requires from a financial model, why Final Investment Decision is the single most consequential gate in the sequence, and how a model appropriate to an early stage becomes inadequate, and a model appropriate to a late stage becomes excessive, at a different stage.

Production Decline Curve

A production decline curve is a mathematical function, exponential, hyperbolic or harmonic, describing how upstream oil and gas production output falls over time from an initial rate as a reservoir depletes. It is the central structural basis for upstream revenue and debt capacity projection, and its parameters must be kept consistent with the underlying reserve engineering report, a recurring source of divergence and audit finding when the two are maintained separately.

Reserve-Based Lending

Reserve-based lending (RBL) is the dominant financing structure for upstream oil and gas assets, tying the available borrowing base to the discounted value of proved reserves under a bank-defined price deck, redetermined periodically, typically semi-annually, against updated reserve and price estimates. The financial model supporting an RBL facility must replicate the lender's specific borrowing base methodology precisely, since an approximated version will not match the actual facility mechanics.

Production Sharing Contract

A production sharing contract (PSC) is a fiscal arrangement, common in many oil and gas jurisdictions, under which the host government retains ownership of the resource while the contractor bears exploration and development risk in exchange for cost recovery from a capped share of production and a further split of remaining, "profit," production against the government. PSC mechanics vary materially by jurisdiction and require dedicated modelling of the actual contract formula rather than a generic effective tax rate.

Proved and Probable Reserves

Proved (1P), proved plus probable (2P), and proved plus probable plus possible (3P) reserves are the standard classification system, set out in the Petroleum Resources Management System, for the certainty of estimated recoverable hydrocarbon volumes. Which category is appropriate depends on the model's purpose: reserve-based lending typically sizes against proved reserves alone, while planning models sometimes incorporate 2P volumes, and using the wrong category for a given purpose materially distorts the resulting analysis.

Netback Price

Netback price is the realized price a producer actually receives for hydrocarbons after deducting transport, processing and royalty costs from the gross sale price, a more accurate measure of an asset's actual realized economics than a gross benchmark price. It is used throughout upstream and LNG modelling to translate a market reference price into the specific, asset-level realized value a financial model should actually project.

Final Investment Decision

Final Investment Decision (FID) is the formal gate at which an oil and gas project's financing, offtake or sales contracts, and reserve estimates are locked in ahead of major capital commitment. It is the single most consequential stage in the oil and gas investment lifecycle, the point at which a project's financial model shifts from representing probabilistic planning ranges to reflecting specific, binding, negotiated terms.

Lifting Cost

Lifting cost is the operating cost of producing each barrel of oil equivalent from an already-developed field, typically expressed per boe. It is distinct from finding and development cost, which measures the capital cost of adding new reserves rather than producing existing ones, and is one of the core KPIs used to assess the operating efficiency of a producing asset.

Reserve Replacement Ratio

Reserve replacement ratio is the ratio of reserves added, through discovery, extension or acquisition, to reserves produced in a given period. A ratio above 100% indicates a company is adding reserves faster than it depletes them; below 100% indicates its reserve base is shrinking. It should always be read alongside finding and development cost, since a strong ratio achieved at disproportionately high cost is not equivalent to sustainable, economic reserve growth.

Exploration & Production Models

Exploration and production (E&P) asset models translate segment-level upstream economics into a specific, buildable model at the well and pad level: type curves for individual wells, a rig-count-driven drilling schedule, per-well capital and operating cost, and the production ramp-up that results from drilling activity over time. This guide sets out how E&P models are structured at this granular level, complementing the segment-wide reserve and fiscal mechanics covered in Upstream Financial Models.

Field Development Financial Models

Field development financial models translate a discovered, appraised field into a specific development plan: phased capital expenditure, first oil or first gas timing, plateau production rate, and the facility sizing and tie-back-versus-standalone decisions that shape the project's capital intensity. This guide sets out how a field development model is structured around these decisions and how it feeds into the Final Investment Decision that follows.

Offshore Project Models

Offshore project models must account for the specific cost and risk drivers of developing hydrocarbons at sea, fixed platforms, floating production storage and offloading (FPSO) vessels, and subsea tiebacks, each with materially different capital cost and operating profiles, alongside weather-driven downtime and logistics costs that do not arise onshore. This guide sets out how offshore models are structured around these facility choices and risk factors.

Onshore Project Models

Onshore project models are shaped by land access and surface rights, well pad-level economics across a typically larger well count than offshore developments, and the choice between pipeline and trucking takeaway for produced volumes ahead of pipeline connection. This guide sets out how onshore models are structured around these drivers, and how they differ from the facility-centric economics of offshore development.

Refinery Financial Models

Refinery financial models build on the segment-level crack spread economics covered in Downstream Financial Models with process unit-level detail: refinery complexity and its effect on achievable product yield, crude slate flexibility, and the explicit scheduling of periodic turnaround capital expenditure. This guide sets out how a refinery model is structured at this level of detail, and the modelling errors that arise from collapsing unit-level detail into a single blended margin assumption.

Petrochemical Financial Models

Petrochemical financial models centre on the steam cracker, the plant that converts hydrocarbon feedstock, ethane or naphtha, into base petrochemicals such as ethylene and propylene, and the further conversion of those base products into polymers such as polyethylene and polypropylene. This guide sets out how petrochemical models are structured around feedstock flexibility, product slate economics, and the frequent integration between petrochemical operations and refinery feedstock supply.

Pipeline Financial Models

Pipeline financial models extend the segment-level midstream economics covered in Midstream Financial Models with the specific tariff methodology, capacity allocation structure, and debt sculpting mechanics that apply to a pipeline asset. This guide sets out how a pipeline model is structured around cost-of-service and negotiated tariff regimes, firm versus interruptible capacity contracts, and the project finance-style debt structuring these contracted revenues typically support.

Storage Terminal Financial Models

Storage terminal financial models are built around tank capacity, working capacity available for active use versus total shell capacity, and revenue structures typically based on capacity reservation fees rather than pure throughput. This guide sets out how storage terminal economics are modelled, including the effect of forward curve shape (contango and backwardation) on storage demand, and how terminalling agreements provide the revenue certainty underlying terminal financing.

Gas Processing Plant Models

Gas processing plant financial models centre on the extraction of natural gas liquids, ethane, propane, butane and natural gasoline, from raw wellhead gas, and the specific contract structure, fee-for-service, percent-of-proceeds, or keep-whole, under which the plant is compensated. This guide sets out how gas processing economics are modelled around plant recovery rates and the commodity price exposure each contract structure creates for the processor.

Decommissioning Cost Models

Decommissioning cost models estimate and provision the mandatory end-of-life obligation to plug wells and remove oil and gas infrastructure, an obligation that should be funded progressively across the production life rather than treated as a single terminal-year cost. This guide sets out how decommissioning cost is estimated, the funding mechanisms, sinking funds, parent company guarantees, and letters of credit, regulators typically require, and why timing and discounting of the liability matter to how it is represented in a financial model.

Offshore vs. Onshore Development Models

Offshore and onshore oil and gas developments require structurally different financial models. Offshore developments are shaped by facility type choice, fixed platform, FPSO, or subsea tieback, higher per-unit capital cost, weather-driven downtime, and materially higher decommissioning cost. Onshore developments are shaped by land access, well pad economics across a typically larger well count, and takeaway logistics. This comparison sets out these differences and why a model built for one cannot be directly repurposed for the other.

Refinery vs. Petrochemical Financial Models

Refinery and petrochemical financial models both sit in the downstream segment but are built around different core processes and margin drivers. A refinery model centres on crude distillation and conversion units producing fuels, sized by complexity and crude slate flexibility, while a petrochemical model centres on the steam cracker converting ethane or naphtha feedstock into base petrochemicals and polymers. This comparison sets out the differences and the internal transfer pricing discipline required where the two are integrated.

Oil & Gas Project Model Checklist

This checklist covers the verification checks specific to an oil and gas asset or project financial model, on top of the general financial model audit baseline. It focuses on confirming that well-level or facility-level detail is correctly represented, that contract structures (take-or-pay, tariff, processing agreements) are modelled against their actual terms, and that decommissioning is properly provisioned. It is intended for energy developers, EPC contractors, project finance lenders and financial modellers reviewing an asset or project model before it supports a development or financing decision.

Production Forecast Models

A company or portfolio-level production forecast aggregates the individual production profiles of many wells and fields, each at a different stage of its own decline, into a single consolidated volume forecast. This guide sets out how production forecasts are built at this aggregate level, the distinction between organic decline and the effect of an ongoing drilling or development programme, and why a portfolio forecast requires reconciliation back to its underlying asset-level building blocks rather than being projected directly from historical aggregate volume.

Reserve-Based Valuation Models

Reserve-based valuation discounts the future net revenue expected from producing a defined reserve base, most commonly reported as PV-10, the present value of estimated future net revenue from proved reserves discounted at 10%, a standardized measure under U.S. SEC reporting requirements. This guide sets out how reserve-based valuation is constructed, how it relates to general discounted cash flow valuation practice, and the reserve category and price deck choices that most affect the resulting value.

Decline Curve Financial Models

A decline curve financial model translates the underlying production decline curve into a full revenue, cost and cash flow schedule, and represents the genuine uncertainty in future production through probabilistic P10, P50 and P90 cases rather than a single deterministic line. This guide sets out how decline parameters flow through into a bankable cash flow model, and why the model's uncertainty treatment should reflect the same probabilistic basis used in the underlying reserve estimate.

Production Sharing Contract Models

Building a production sharing contract (PSC) into a financial model requires a specific waterfall structure: a cost recovery ceiling limiting how much cost oil or cost gas can be claimed in a period, a carry-forward mechanism for unrecovered cost, and a profit oil or profit gas split that frequently varies with production rate or a cumulative revenue-to-cost ratio known as an R-factor. This guide sets out how to construct that waterfall as a modelling exercise, extending the conceptual definition covered in the Production Sharing Contract glossary entry.

Joint Venture Financial Models

Oil and gas assets are frequently developed and operated through joint ventures, with an operator managing day-to-day activity on behalf of itself and non-operating partners holding working interests. This guide sets out how joint venture financial models represent working interest versus net revenue interest, the cash call process funding joint operations, and the authorization for expenditure (AFE) mechanism governing capital commitments under a joint operating agreement.

Oil Price Scenario Analysis

Oil price is one of the single most influential variables in any oil and gas financial model, and should be tested through a defined set of scenarios, a forward curve or bank price deck base case, and explicit upside and downside stress cases, rather than a single flat assumed price held constant across the model's full life. This guide sets out how oil price scenarios are constructed, the difference between forward curve pricing and a flat long-term assumption, and how scenario results should be presented alongside the base case rather than replacing it.

Gas Price Scenario Analysis

Natural gas price scenario analysis differs from oil price scenario analysis in one key respect: gas trades at materially different prices across regional hubs, and long-term contracts, particularly in LNG, are frequently priced against a specific indexation formula rather than a single global benchmark. This guide sets out how gas price scenarios should reflect the relevant regional hub or contract indexation basis, and why applying an oil-style single global benchmark misrepresents gas price exposure.

Fiscal Regime Modelling

Oil and gas fiscal regimes take one of several forms across jurisdictions, concession and royalty-tax regimes, production sharing contracts, or service contracts, each dividing value between operator and host government through a different mechanism. This guide sets out how to identify which fiscal regime applies to a given asset and jurisdiction, the modelling implications of each type, and why a generic effective tax rate cannot substitute for the actual regime's specific mechanics.

Oil & Gas Sensitivity Analysis

Sensitivity analysis in oil and gas financial modelling applies the general sensitivity analysis technique to the specific variables that matter most in this sector: commodity price, production decline rate, capital and operating cost, and fiscal regime terms. This guide sets out which variables to flex, why decline rate sensitivity is distinct from price sensitivity, and why fiscal terms should be tested in combination with price given their frequent interaction through mechanisms such as an R-factor.

Oil & Gas Monte Carlo Risk Analysis

Monte Carlo simulation applies the general Monte Carlo technique to the specific, overlapping sources of uncertainty in an oil and gas financial model, reserve volume, commodity price, and production decline rate, running many combined iterations to produce a probability distribution of outcomes rather than a fixed set of discrete scenarios. This guide sets out how Monte Carlo simulation should be applied in this sector, how it complements rather than replaces the P10/P50/P90 reserve-based cases and defined sensitivity scenarios covered elsewhere in this domain, and where it adds genuine value over a simpler scenario-based approach.

A Reserve-Based Lending Model Understates Redetermination Risk After a Price Deck Revision

This is an illustrative, composite scenario, not a specific real transaction. It follows an upstream operator financed under a reserve-based lending facility whose internal financial model continued to use an outdated, more favourable price deck after the lender's own price deck was revised downward, masking an emerging borrowing base shortfall until the actual redetermination arrived. The core lesson: a reserve-based lending model should be updated to reflect the lender's current price deck proactively, not only at the point of formal redetermination.

An Unmodelled R-Factor Threshold Understates Government Take in a Production Sharing Contract Model

This is an illustrative, composite scenario, not a specific real transaction. It follows an international oil company operating under a production sharing contract whose internal financial model applied a flat profit oil split throughout the contract life, rather than the contract's actual R-factor-based sliding scale, overstating the contractor's projected share of profit production in later years. The core lesson: an R-factor-based profit split must be modelled as a running, cumulative calculation, not a static figure carried forward unchanged.

Oil & Gas Project Model Template

A bankable oil and gas asset or project financial model needs a consistent structure connecting its reserve and decline basis, fiscal regime waterfall, contracted revenue mechanics, and decommissioning provisioning. This template sets out that structure section by section, so a model is built with each sector-specific mechanic represented explicitly rather than collapsed into generic corporate model assumptions.

Sensitivity Analysis

Sensitivity analysis is the quantitative assessment of how much a financial model's output changes when a single input variable is changed by a defined amount, while all other variables are held at their base case values. It measures the responsiveness — or sensitivity — of outputs to individual assumption changes. Sensitivity analysis is distinct from scenario analysis, which changes multiple assumptions simultaneously to reflect a coherent alternative state. Sensitivity analysis isolates the effect of individual variables; scenario analysis tests the combined effect of assumption sets.

Monte Carlo Simulation

Monte Carlo simulation is a quantitative technique that builds a distribution of possible outcomes by running a large number of trials, each drawing its inputs from specified probability distributions, rather than relying on a single point estimate or a small set of discrete scenarios. In financial modelling and investment analysis, it is applied wherever a decision depends on several uncertain inputs whose combined effect is difficult to characterize through sensitivity or scenario analysis alone, most prominently in capital budgeting and DCF valuation, where the DCF-specific application of the technique is treated as its own dedicated guide.

Oil & Gas Model Validation

Validating an oil and gas financial model requires procedures beyond general model validation practice: reconciling the model's decline and reserve assumptions against the current reserve engineering report, independently replicating any reserve-based lending borrowing base calculation, and verifying fiscal regime waterfall mechanics against the actual contract terms. This guide sets out these procedures as a step-by-step validation methodology, extending the general model validation discipline with the sector-specific checks this domain requires.

Oil & Gas Due Diligence

Financial model due diligence on an oil and gas transaction requires checks beyond general transaction due diligence practice: reconciling the target model against its underlying reserve engineering report, confirming production sharing contract or joint venture terms transfer correctly to the acquirer, and quantifying any decommissioning liability being assumed. This guide sets out these sector-specific due diligence checks, extending the general financial model due diligence and transaction due diligence disciplines already covered in the Knowledge Centre.

Oil & Gas Lender Model Review

A lender reviewing an oil and gas financial model, whether ahead of a reserve-based lending redetermination or a project finance drawdown, applies checks specific to the sector on top of the general lender model review discipline: independent borrowing base replication, reserve report currency, and hedging programme compliance. This guide sets out these sector-specific review points and how they extend the Knowledge Centre's general Lender Model Review Checklist.

Oil & Gas Investment Committee Review

An investment committee reviewing an oil and gas Final Investment Decision submission should confirm a set of sector-specific disclosures beyond a general investment committee review: the reserve category basis presented, the fiscal regime and its specific mechanics, and whether both base and stress price scenarios have been presented rather than a single case. This guide sets out these confirmation points and extends the Knowledge Centre's general Investment Committee Model Checklist with oil and gas-specific review requirements.

Common Oil & Gas Modelling Errors

This guide consolidates the recurring structural errors identified throughout the Oil & Gas Financial Modelling domain into a single reference catalogue: decline curve drift from the reserve report, reserve-based lending borrowing base approximation, flat fiscal regime splits, and decommissioning under-provisioning, among others. Each entry links to the specific guide addressing it in full, so this page functions as a quick-reference index rather than a duplicate treatment of content covered elsewhere in the domain.

Oil & Gas Documentation Standards

An oil and gas financial model requires documentation beyond standard model documentation practice: a clear reference to the specific reserve engineering report and its version, citation of the actual fiscal or commercial contract terms modelled, the source and date of the price deck used, and evidence of the decommissioning financial security in place. This guide sets out these documentation requirements, so a model's technical and commercial basis remains traceable and independently verifiable after the fact.

Oil & Gas Independent Model Assurance

Independent model assurance for an oil and gas financial model is most effective when its review cadence is tied to the events that actually change the model's basis, a new reserve engineering report, a reserve-based lending redetermination, or a material fiscal or contractual change, rather than a generic annual cadence alone. This guide sets out how to structure an ongoing assurance cycle around these trigger events, connecting periodic independent review with the validation and governance practices covered elsewhere in this domain.

Oil & Gas Model Governance

Model governance for an oil and gas financial model requires an explicit connection between the reserve engineering function, which owns the underlying technical basis, and the finance function, which owns the financial model built on it, since the two are frequently maintained separately and can drift apart without a defined governance link. This guide sets out how oil and gas model governance should structure named ownership, change control triggers, and review cadence around this cross-functional dependency, extending the Knowledge Centre's general financial model governance discipline.

Oil & Gas Financial Modelling Best Practices

This guide synthesises the Oil & Gas Financial Modelling domain into three disciplines that together define institutional best practice: building each segment, upstream, midstream, downstream, and LNG, on its own structurally correct basis; maintaining fidelity between the model and its underlying reserve, fiscal, and contractual basis rather than approximating any of them; and connecting validation, assurance, and governance into a single, demonstrable, ongoing programme rather than isolated review events. This page is the standing reference point for evaluating any oil and gas financial model against the domain's accumulated guidance.

Financial Model Due Diligence

Financial model due diligence is the discipline of testing whether the financial model used to price, structure, or finance a transaction is itself structurally sound — a distinct question from whether the target business's historical financials are reliable (the domain of financial due diligence) or whether its commercial prospects are durable (commercial due diligence). A model can be structurally unsound — an untraceable synergy figure, a broken purchase price allocation link, a hardcoded override masking the true output of a formula — independent of whether the underlying business is fundamentally healthy, and this risk is what financial model due diligence is specifically built to catch. This page is the hub for the Knowledge Centre's model-risk-in-transactions content: how model review differs by audience (independent, lender, investor, vendor), how it differs from a quality of earnings review, and how transaction-specific model risk maps onto FMAE's own structural rule set.

M&A and Transaction Due Diligence

Transaction due diligence is the structured process by which a party to a proposed transaction — most often a buyer, but also a seller preparing for sale or a lender financing the deal — investigates a target business before committing capital. It is organized into distinct workstreams (financial, commercial, operational, technical, legal, tax, ESG), run from one of three process postures (buy-side, sell-side, or vendor), and its findings feed directly into the financial model used to price the transaction and support the investment decision. This page is the hub for the Knowledge Centre's transaction due diligence content: what due diligence is, how each workstream and process posture differs, and how model risk specifically enters a transaction — the angle this platform is built to address in depth.

What Is Financial Model Governance?

Financial model governance is the set of policies, roles, and controls an organisation puts in place to manage the risk that comes from relying on financial models for material decisions. It is the organisational layer that sits above any individual financial model audit: governance determines when a model gets audited, who owns that decision, how versions are tracked, and what happens to findings once they exist. Most published governance content online is written for large, tier one banks operating under formal regulatory regimes. A private equity firm, a family office, or a mid market corporate finance team rarely has that scale of infrastructure, and does not need it, but still carries real exposure if no governance exists at all. This page defines governance at the level that actually applies to most organisations relying on Excel models, not just the largest ones.

Independent Model Audit

An independent model audit is a financial model audit performed by a party who is separate from both the model's author and the party relying on the model's output. Independence is one of the two features, alongside systematic coverage, that distinguish an audit from a lighter touch review. Independence can be provided by an internal team separate from the model's builder, a third-party advisory firm, or a deterministic audit engine run by a party other than the model's author — what matters is the structural separation between who built the model and who is checking it, not the specific form the checking party takes.

Climate Finance & Climate Financial Modelling

Climate finance is the mobilisation and allocation of capital toward mitigation, adaptation, and transition activity, and climate financial modelling is the discipline of representing that activity's cash flows, risk, and concessionality in a financial model. This page is the hub for the Knowledge Centre's climate finance content: how sustainable, green, and transition finance are distinct but related capital allocation frames, how a climate investment model differs from a standard project or corporate model in its treatment of concessional capital and additionality, how physical and transition climate risk are quantified at portfolio and entity level, and how carbon markets, climate-sector investment, and institutional governance practice build on these foundations as this domain expands.

Infrastructure Asset Management Financial Modelling

Infrastructure asset management financial modelling is the discipline of modelling an infrastructure asset's ongoing operation, maintenance, and renewal across its full economic life, from the perspective of the owner or operator responsible for that asset once it is in service, rather than the transaction-close or lender perspective covered elsewhere. This page is the hub for the Knowledge Centre's asset management and operations modelling content: how a lifecycle model is structured across planning, construction, operations, renewal, and disposal, how whole-life cost and lifecycle cost analysis compare competing options, and how maintenance, renewal, and capital replacement should be planned and funded. Sector-specific operations models, performance and reliability modelling, and institutional assurance practice for this domain are indexed here as it expands.

Financial Model Audit for Oil & Gas

Upstream oil and gas financial models project revenue and debt capacity from a depleting reserve base, using production decline curves rather than a going-concern volume forecast. Reserve-based lending structures, where the borrowing base is periodically redetermined against updated reserve and price estimates, fiscal terms specific to production sharing contracts or concession agreements, and mandatory decommissioning liabilities each interact with that declining production profile in ways a standard corporate model does not test. This page sets out the modelling risks specific to oil and gas, the audit findings that recur in upstream financing models, and what lenders typically expect under a reserve-based lending structure.

What Is a Project Finance Model Audit?

A project finance model audit is a financial model audit applied to the specific class of model used to finance infrastructure, energy, and long dated capital projects: debt sculpted, multi decade, cash flow driven structures with mechanics that do not appear in a typical corporate model. It is frequently a formal condition of financial close, not an optional check, and lender requirements for it exist almost entirely inside non public bank credit policy rather than any single consolidated public source. This page defines what makes project finance models structurally distinct, why lenders require independent verification of them specifically, and what the audit process looks like in this context.

Energy Financial Modelling

Energy financial modelling is the discipline of building financial models for power generation assets, independent power producers, and renewable energy projects — structured around a technical output schedule and an electricity revenue stack that a standard corporate or general project finance model has no direct equivalent for. This page is the hub for the Knowledge Centre's energy and power modelling content: how a power project model is architected, how electricity markets and dispatch mechanics translate into revenue, and how power purchase agreements, capacity payments, and merchant exposure combine into a project's revenue structure. Technology-specific renewable energy models (solar, wind, storage, hydro, and others), technical and commercial modelling mechanics, and institutional practice for this asset class are indexed here as the domain expands.

What Is a Financial Model Audit?

A financial model audit is an independent, structured examination of an Excel based financial model to confirm that its mechanics, logic, and outputs are reliable enough to support a decision. It is not a check of whether the assumptions are optimistic or conservative. It is a check of whether the model actually calculates what its author believes it calculates. Every year, lenders extend debt, investment committees approve capital, and boards sign off on transactions using numbers that came out of a spreadsheet nobody outside the immediate deal team has independently verified. A financial model audit exists to close that gap before it becomes expensive.

Discounted Cash Flow (DCF) Valuation

Discounted cash flow (DCF) valuation values a business, project, or asset as the present value of the cash flows it is expected to generate in the future. It is the most theoretically grounded of the major valuation methodologies, resting directly on the principle that a dollar of cash flow is worth more today than the same dollar received in the future, and that value is created when future cash flows exceed what capital providers require as compensation for the time value of money and risk. This page is the hub for the Knowledge Centre's DCF content: what DCF is and why it works, how free cash flow and discount rates are built, how terminal value is calculated and stress-tested, the method variants practitioners choose between, and — distinctively — how DCF failure modes map onto FMAE's existing structural audit rule taxonomy, since no generic valuation resource ties DCF mechanics to a named, testable audit standard.