Groundwater Monitoring

Use Case 02 · Plume tracking around a tailings pond, Athabasca River corridor.

Case Study

Demo: The “Legacy Tailings” Integrity Lifecycle

Note: This is a simulated use case using synthetic data to demonstrate the end-to-end data management capabilities of the aQRate platform.

The Premise

A major SAGD (Steam-Assisted Gravity Drainage) operator in the Athabasca Region maintains a network of groundwater monitoring wells. These wells are a regulatory “tripwire” between a secondary tailings pond and a sensitive natural wetland. The company uses aQRate to replace their legacy process of paper field notes, disjointed Excel sheets, and manual lab data entry.

This use case simulates a liner failure in the tailings pond which causes the leakage of contamination to the groundwater sources, creating a Groundwater Under the Direct Influences (GUDI) scenario.

What aQRate provides to this situation is simple: total data connection and clarity. The interactive map above is a simple example. Read below for further explanation of this use case.

Schematic diagram showing the tailings pond, plume affected area, monitoring wells MW-01 through MW-05, groundwater flow direction, and the Athabasca River/Wetland

Fig. 1 — Plume affected area showing tailings pond liner failure, groundwater flow direction, and monitoring well network relative to the Athabasca River/Wetland.

1 Period 1: The Routine Months 1–4

The operator performs Monthly Baseline Monitoring to satisfy their EPEA (Environmental Protection and Enhancement Act) approval.

  • The Problem: In the past, data sat in a technician’s truck before being typed into a spreadsheet — a delay in communication.
  • The aQRate Advantage: Field technicians use the aQRate mobile app to log Depth to Water (m) and Field_EC (µS/cm). Data is synced to the cloud instantly.
  • Outcome: Management sees a “Green” dashboard. Historical trend lines for MW-01 through MW-05 are stable, proving the facility’s integrity to the regulator.
5Monitoring Wells
12Parameters
100Samples
Jan–Nov 2023Monitoring Window

Plume footprint · Plan view

Click a well to open chart and stats for any of 12 parameters.

Control / Sentinel Source Plume wells
ATHABASCA RIVER TAILINGS POND Process-Affected Water REGIONAL GROUNDWATER FLOW → PLUME · TAILINGS WATER MW-01 CONTROL MW-02 SOURCE MW-03 MID-PLUME MW-04 PLUME EDGE MW-05 SENTINEL

Sample data only. Phase shading shows baseline, remediation, and post-remediation periods. Open circles indicate values below the lab detection limit.

2 Period 2: The Detection Month 5 / Week 1

During a routine spring check, the system detects an anomaly.

  • The Moment of Discovery: Upon syncing the data, office staff see and flag the Field_EC at MW-02 — a reading of 4,500 µS/cm (a 10× increase).
  • The aQRate Advantage: Before the technician even leaves the site, aQRate communicates the data to the Project Manager in Calgary, instantly notifying the spike in conductivity with visualization.

3 Period 3: The Investigation & Remediation Weeks 1–12 after Detection

The company identifies a liner failure and initiates an emergency “Pump and Treat” remediation.

  • The Challenge: Sampling frequency is ramped up to Weekly. Data volume increases 400%.
  • Task Management: The Manager uses aQRate to schedule weekly recurring “Remediation Tasks” for all 5 wells.
  • Lab Integration: As lab results for Naphthenic Acids (mg/L) and Benzene (mg/L) arrive, aQRate automatically merges them with the field data using unique Sample IDs.
  • Leading Indicators: The team monitors Field_ORP (mV) as a leading indicator of groundwater health, seeing it slowly return from negative (contaminated) to positive (healthy) values. Together with the lab data, a complete picture of the extent of the issue and the health of the affected groundwater can be drawn.

4 Period 4: Compliance & Close-Out Months 9–12

Remediation is complete. The operator must now prove to the Alberta Energy Regulator (AER) that the site has returned to its baseline state.

  • The Challenge: Compiling 12 months of field notes, lab COAs (Certificates of Analysis), and trend graphs usually takes an environmental consultant 40+ hours of manual labour.
  • The aQRate Advantage: With one click, the operator generates a Comprehensive Compliance Report.
  • The Visual Proof: The report features a “Bell Curve” graph for MW-02, showing the sharp spike in Sodium and Naphthenic Acids, followed by a steady 12-week decline back to the original baseline.

Conclusion

Moving away from traditional disjointed manual data handling (from field to office to lab) towards the end-to-end seamless process that aQRate offers creates a whole suite of benefits for everyone involved:

  1. Major saving in time and resources by not having to manually copy data into different places.
  2. Major reduction in errors. In this use case, imagine what crisis a simple Sample ID mistake can cause.
  3. Use all the data to your advantage. When your data is structured and clean in one place, the applications are limitless.

MW Roles in This Demo

Well ID Role / Designation Location Logic Behavior in the Story
MW-01 Up-Gradient (Control) Located “above” the tailings pond relative to groundwater flow. The “Reference”: Stays clean throughout the year. Proves background water quality is good and the company isn’t being blamed for someone else’s leak.
MW-02 Source Zone (Impacted) Directly adjacent to the suspected leak point — the “Smoking Gun.” The “Crisis”: Shows the highest and earliest spike in Conductivity and Naphthenic Acids. First well to trigger an aQRate Automated Alert.
MW-03 Mid-Plume (Impacted) Down-gradient from MW-02, in the path toward the wetland. The “Tracker”: Shows a delayed spike as the plume travels through the soil. Used to calculate the seepage velocity.
MW-04 Plume Edge (Marginal) Near the lateral boundary of the predicted impact zone. The “Boundary”: Shows only minor fluctuations. Proves to the regulator that the leak is narrow and hasn’t spread sideways.
MW-05 Sentinel (Compliance) Between the facility and the natural wetland/river. The “Protector”: Stays clean the entire time. Proves the “Pump and Treat” system stopped the leak before it reached the natural environment.

Want to see the data behind this simulation? Reach out to us and we will walk through the scenario, dataset and aQRate platform together.

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