PR-01Foundational
Production Forecasting
Forecasts what each well will produce next month, and tells you which wells it is not confident about.
Production & Artificial LiftAI
PR-12FoundationalWave 1AIDomain
Workover Candidate Prioritization
In one sentence
Ranks which wells to intervene on next by expected barrels per dollar, with rig availability in the calculation.
The problem
The workover list is usually assembled from field requests and reviewed in a monthly meeting. Ranking is by whoever argued most persuasively, and there is no consistent estimate of what each job is worth against what it costs.
How it works
Each candidate gets an expected incremental rate from its diagnosed problem type and the field’s own outcome history for that job type, with a success probability attached. Jobs are then sequenced against rig availability and cost as a scheduling problem, so the ranking reflects what can actually be executed this quarter.
Data required
- Current and historical rates per well with decline behaviour
- Historical workover records with job type, cost, and measured post-job gain
- Rig and crew availability calendar
- Well diagnosis input from the problem-diagnosis capability
What you get
- Ranked candidate list with expected gain, success probability and cost
- Executable schedule against rig availability
- Post-job reconciliation feeding back into the success-rate estimates
What it cannot do
Expected gain is estimated from the field’s own history, so a job type with only a handful of past executions carries an estimate too uncertain to rank confidently. The system shows the sample size behind every estimate, and for thin job types it reports a range rather than a point value.
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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