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About this Training Course
Marginal and late-life fields require a different approach from large conventional developments. The objective is not to build the most complicated model, but to identify rapidly the technical and commercial factors that determine whether a field can be developed economically.
This four-day practical course provides an integrated approach to screening discovered resources, marginal fields and brownfield redevelopment opportunities. It combines AI-assisted technical review, rapid reservoir evaluation, independent production-forecast cross-checks, well-performance assessment, development concept selection and screening economics.
The emphasis is on engineering judgement, uncertainty and decision quality. Participants are not expected to build full technical models from scratch during the course. Instructor-prepared datasets, populated models and economic templates are used so that class time is spent interpreting results, challenging assumptions, comparing alternatives and making investment decisions.
The course culminates in one major greenfield/discovered-resource case and a shorter brownfield optimisation case, followed by concise investment-committee recommendations.
Q1. What is marginal field evaluation?
Marginal field evaluation determines whether a discovered or producing field can create enough technical and commercial value to justify further investment.
The process reviews recoverable volumes, production potential, well performance, facilities, CAPEX, OPEX and field life. It also considers price and other commercial assumptions.
Marginal field evaluation and development focuses on the factors that have the greatest effect on value. It also helps teams decide whether more technical work is worth the cost.
Q2. What makes an oil or gas field economically marginal?
An oil or gas field may become economically marginal when expected production cannot justify the required investment and operating costs.
Several factors can reduce value. These include small recoverable volumes, declining production, high water cut, well limits and infrastructure constraints. High CAPEX, OPEX or low production rates can also affect the result.
Teams should assess technical and commercial marginality separately. A field may contain recoverable hydrocarbons but still fail to create enough economic value.
Q3. How are production forecasts developed for marginal fields?
Engineers can use several methods to forecast production from marginal fields. These include decline-curve analysis, material balance and fractional-flow forecasting.
Decline curves use production history to estimate future performance. Material balance considers pressure behaviour, reservoir support and connected volume.
Teams can compare the different forecasts to identify major differences. They should also check the results against reservoir behaviour, well limits and operating history.
This approach helps establish a practical low, base and high production range.
Q4. What is the role of AI in reservoir and field evaluation?
AI can speed up technical reviews during marginal field evaluation.
It can help teams review reports, extract key facts and assumptions, identify inconsistencies and organise information. AI can also support production-history reviews and alternative scenario development.
However, engineers should verify important AI outputs. They should compare them with original documents, calculations and field behaviour.
AI supports faster analysis, but engineering judgement remains essential.
Q5. How does well performance affect marginal field economics?
Well performance directly affects production and project value.
Reservoir inflow, productivity index, skin and vertical lift performance all influence deliverability. Tubing size, PVT, wellhead pressure and separator pressure can also affect production.
Teams may improve performance through gas lift, ESPs, choke optimisation or backpressure reduction. They should then compare the extra production with the cost of the intervention.
Even small production improvements can affect the economic case for a marginal field.
Q6. What is the difference between greenfield and brownfield field evaluation?
Greenfield evaluation focuses on an undeveloped or discovered resource. The main question is whether the field should move toward development.
Teams assess recoverable volumes, production potential, development concepts, costs and project value.
Brownfield evaluation focuses on an existing producing asset. Teams review remaining reserves, declining production, water cut, pressure support and existing facilities.
They may also assess options such as gas-lift optimisation, ESP installation, sidetracks or increased liquid handling.