Meana Petro
SR-09FoundationalWave 2DomainAI

EOR Method Screening

In one sentence

Rules out the EOR methods that cannot work in this reservoir before anyone spends a year simulating them.

The problem

Screening is still done against published criteria tables from the 1980s, applied by hand, with no record of why a method was dropped. The same argument is then re-run two years later.

How it works

Reservoir and fluid properties are scored against both classical screening criteria and a database of field-scale outcomes, producing a ranked shortlist with the specific disqualifying property named for every rejected method. Minimum miscibility pressure is computed rather than assumed.

Data required

  • Reservoir properties: depth, temperature, pressure, permeability, net pay, heterogeneity
  • Fluid properties: API gravity, viscosity, composition
  • Current recovery factor and drive mechanism
  • Surface constraints and injectant availability

What you get

  • Ranked method shortlist with pass/fail against each criterion
  • Computed MMP for miscible gas options
  • Analogue field list with outcomes

What it cannot do

Screening criteria are statistical generalisations from mostly North American sandstone experience. Fractured carbonates, which dominate this region, are badly represented in the published criteria, and we weight the analogue database more heavily than the criteria tables for those reservoirs and label the result accordingly.

Every capability page states a real limitation. If a vendor cannot tell you where their product stops, you are not being told the truth about where it starts.

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