CRM interwell analytics
Capacitance-resistance model on a simulated injector–producer pattern.
Why this matters for a field-trial decision
What the lab proves
Corefloods show a water can release more oil from rock under controlled conditions (e.g. CO₂ nanobubbles +12.4 % OOIP in the reference summary). They cannot say how a real well pattern will respond.
What CRM adds
Using only routine injection and production rates, CRM maps which injector feeds which producer, and how fast. That tells you where to run a pilot so the effect can actually be seen.
Fair baseline
CRM fitted before treatment predicts what the wells would have produced anyway. Incremental oil = measured − baseline, instead of “before vs after”, which is confused by decline and rate changes.
Decision value
Together: lab evidence justifies the trial, CRM picks the pattern, sets the success threshold, and measures the result. Approval remains a human decision by the review board.
P1 · observed vs CRM baseline
Baseline fitted on pre-treatment months onlyFitted connectivity fᵢⱼ
Share of each injector's water reaching each producer| Producer | I1 | I2 | I3 | τ | R² |
|---|---|---|---|---|---|
| P1 | 0.43 | 0.11 | 0.05 | 2.75 | 0.985 |
| P2 | 0.29 | 0.46 | 0.01 | 4.25 | 0.978 |
| P3 | 0.09 | 0.39 | 0.32 | 2.75 | 0.981 |
| P4 | 0.00 | 0.17 | 0.45 | 5.5 | 0.969 |
High-pressure nanobubble diameter is not measured. Demonstration data is synthetic and cannot qualify evidence. The field and final test matrix remain unconfirmed; no validated proprietary Qualitization method is supplied.