INDUSTRYNORTH / Oil & gas
Give production and reliability teams a shared view of the wells worth investigating, the evidence behind each finding, and the operating options to review.
01 / THE CORE PACKAGE
Start with the assets and data that matter. We agree on scope and success criteria before building.
Data assessment, model validation, and delivery into your tools: Power BI, Tableau, custom applications or CMMS.
Optional modules selected for value and data readiness.
ESP health and validated failure-risk models
Constrained gas-lift allocation
Rod-pump dynamometer-card classification
Virtual flow metering and compressor analytics
Pressures, temperatures, motor current, drive frequency, well tests, lift configuration and intervention history. Gas lift needs injection and compressor limits; rod lift needs load/displacement cards.
Scope is agreed by lift or equipment family. Without labeled failures, report anomalies rather than failure probabilities. Setpoint proposals stay subject to engineering review and operating limits.
CONTEXT MATTERS
Bring well conditions, equipment behavior and intervention history together to prepare an informed decision.
02 / WHAT A FINDING LOOKS LIKE
Motor current rises above the operating baseline while the example well-test rate weakens.
ILLUSTRATIVE EXAMPLE · NOT A CLIENT RESULTSynthetic measurements and an illustrative expected profile. Select a point to inspect its values.
| Time | Expected (A) | Observed (A) |
|---|---|---|
| D1 | 48 | 48.2 |
| D2 | 49.2 | 49.4 |
| D3 | 49.3 | 49.5 |
| D4 | 48.2 | 48.4 |
| D5 | 46.9 | 47.1 |
| D6 | 46.7 | 47.8 |
| D7 | 47.6 | 49.8 |
| D8 | 48.9 | 52.2 |
| D9 | 49.4 | 53.8 |
| D10 | 48.6 | 54.1 |
| D11 | 47.2 | 53.8 |
| D12 | 46.6 | 54.3 |
Synthetic well-test observations. No failure probability or remaining-life estimate is inferred.
| Time | Expected (bbl/d) | Observed (bbl/d) |
|---|---|---|
| D1 | 410 | 410 |
| D2 | 408 | 408 |
| D3 | 406 | 406 |
| D4 | 404 | 404 |
| D5 | 402 | 402 |
| D6 | 400 | 395 |
| D7 | 398 | 388 |
| D8 | 396 | 381 |
| D9 | 394 | 374 |
| D10 | 392 | 367 |
| D11 | 390 | 360 |
| D12 | 388 | 353 |
03 / FROM EVIDENCE TO DECISION
Explore each stage. See the sources, the proposal, and the point where your team decides.
OPERATIONS INTELLIGENCESIMULATIONMotor current rises above the operating baseline while the example well-test rate weakens.
Synthetic measurements and an illustrative expected profile. Select a point to inspect its values.
An ESP investigation joins motor behavior, well tests and intervention history.
Evidence connected
Evidence connected
Evidence connected
Sample documents prepared for this demonstration.
Review intake conditions, load and frequency together before diagnosing a performance change.
The sample well test reports a rate decline; operating and fluid conditions need reconciliation.
The two signals justify a well-and-pump review [1][2]. Check sensor consistency and changed fluid or intake conditions before attributing the deviation to wear. No failure probability is inferred.
The proposal retains its supporting data and documents.
A well-specific investigation is ready for engineering review.
Evidence reviewed · proposal prepared
A synthetic allocation predicts 3% more total production at the same 6 MMscf/d gas supply.
Synthetic response model, 6 MMscf/d total, 1–4 MMscf/d per well. Forecast comparison; no achieved production claim.
A constrained model compares well responses before an engineer reviews a field trial.
Evidence connected
Evidence connected
Evidence connected
Sample documents prepared for this demonstration.
Use validated well-response curves and the available compression capacity.
Total injection: 6 MMscf/d. Per-well range: 1–4 MMscf/d. Verify all other limits before testing.
The proposal redistributes supply across different marginal well responses [1] while respecting the sample gas limits [2]. Predicted uplift remains a scenario until verified by a controlled field trial.
The proposal retains its supporting data and documents.
A constrained trial proposal is ready. No setpoints have been changed.
Evidence reviewed · proposal prepared
The example card loses part of its loaded shape while the inferred fillage indicator declines.
Illustrative surface dynamometer card. Similar patterns may have multiple causes; confirm with operating and well data.
Pattern recognition links dynamometer cards with operating context and previous service records.
Evidence connected
Evidence connected
Evidence connected
Sample documents prepared for this demonstration.
Card patterns require corroboration from stroke settings, fluid conditions and measurement quality.
The sample history includes previous investigation of incomplete pump filling.
Incomplete filling is a hypothesis to assess against stroke conditions and well evidence [1][2]. Similar shapes may arise from other causes; the classifier does not settle the diagnosis.
The proposal retains its supporting data and documents.
A documented diagnostic checklist is ready.
Evidence reviewed · proposal prepared
Illustrative data · sample documents · simulated workflow. These are not client results.
Motor current rises above the operating baseline while the example well-test rate weakens.
The two signals justify a well-and-pump review [1][2]. Check sensor consistency and changed fluid or intake conditions before attributing the deviation to wear. No failure probability is inferred.
A well-specific investigation is ready for engineering review.
A synthetic allocation predicts 3% more total production at the same 6 MMscf/d gas supply.
The proposal redistributes supply across different marginal well responses [1] while respecting the sample gas limits [2]. Predicted uplift remains a scenario until verified by a controlled field trial.
A constrained trial proposal is ready. No setpoints have been changed.
The example card loses part of its loaded shape while the inferred fillage indicator declines.
Incomplete filling is a hypothesis to assess against stroke conditions and well evidence [1][2]. Similar shapes may arise from other causes; the classifier does not settle the diagnosis.
A documented diagnostic checklist is ready.
04 / MANAGED ANALYTICS
Equipment changes. Sensors drift. Operations evolve. We keep models aligned with that reality.
See model care in action ↗