PR-12Foundational
Workover Candidate Prioritization
Ranks which wells to intervene on next by expected barrels per dollar, with rig availability in the calculation.
Production & Artificial LiftAIDomain
PR-09IntermediateWave 2AIDomain
Acidizing Design Optimization
In one sentence
Chooses which wells will actually respond to an acid job, and what volume and placement to use.
The problem
Acid jobs are often scheduled by rotation rather than by candidate quality. A significant share produce no measurable gain, and because post-job evaluation is inconsistent nobody learns which wells were the wrong candidates.
How it works
Candidate selection combines skin estimated from well test or nodal analysis with damage-mechanism inference from production and completion history. Treatment design — acid system, volume, diversion — is then matched against the inferred mechanism and the field’s own job outcome database.
Data required
- Pre-job well test or productivity index history
- Completion and perforation detail, formation mineralogy
- Historical acid job records with pre- and post-job rates
- Water chemistry and scale analysis
What you get
- Ranked candidate list with expected gain and the damage mechanism identified
- Treatment design recommendation with diversion strategy
- Standardised post-job evaluation comparing actual to predicted gain
What it cannot do
Skin is an aggregate number that does not distinguish between damage types, so the mechanism inference relies on indirect evidence and is wrong often enough to matter. The candidate ranking is reliable at the top and bottom of the list and weak in the middle; we present it that way rather than as a precise ordering.
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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