Impact — SCI-MIP Field Evidence · GW-AZ-2024-001
Field Evidence · GW-SCI Module

Measured. Not modelled.

SCI-MIP does not project what systems should do. It measures what they actually do — and quantifies the verified gap between the two. Every figure on this page originates from physical field data.

GW-AZ-2024-001 · Active Pilot 1,069 Wells Inventoried 34.2 MW Installed Capacity Phase II Verification Ongoing Projections Indicative — Not Guaranteed
Wells Inventoried
1,069
Cadastral + field-verified
Installed Capacity
34.2 MW
Metered baseline · avg 32 kW/well
Annual Consumption
138M kWh
Verified metered electricity · 2024
Service Area
27,000 ha
Agricultural irrigation coverage
Active Pilot Case

GW-AZ-2024-001 — Kur-Araz Valley Groundwater System

The first SCI-MIP field verification case. All figures derive from physical inventory, metered consumption records, and multi-point field measurements conducted in January 2024.

Case Reference Number
GW-AZ-2024-001
Groundwater System — Kur-Araz Valley, Azerbaijan
Phase II Active GW-SCI Module Baseline Confirmed · Jan 2024
Wells Inventoried
1,069
Subartezan groundwater wells
Installed Capacity
34.2MW
Total nominal power · avg 32 kW/well
Service Area
27,000ha
Agricultural irrigation coverage
Annual Consumption
138MkWh
Verified metered electricity · 2024
System Baseline — Verified Field Data
Annual electricity cost15,042,000 AZN/yr
Energy intensity0.492 kWh/m³
Average annual well operation~4,034 hours/yr
Average pump flow rate (nominal)65 m³/h
Irrigation efficiency (current)~53% of FAO norm
Dominant pump typeESV-10 series · 10″ bore
Electricity tariff0.109 AZN/kWh
SCI-MIP Measurement Protocol Applied
Measurement periodJanuary 2024 (Phase I)
Wells with full metered data1,013 records
Wells with yield deviation study11 wells (Phase I)
Parameters measured per well
Flow rate / debi✓ Metered
Power consumption✓ kWh counter
Operating hours✓ Logged
Service area (hectares)✓ Cadastral
SCI-MIP moduleGW-SCI · Groundwater
Data Confidentiality Protocol — GW-AZ-2024-001: This case is published under SCI-MIP confidentiality protocols. The institutional operator has not been identified. All figures represent verified field measurements published for methodological transparency. Projections and savings scenarios are indicative forecasts derived from baseline data — not performance guarantees or contractual commitments.
Phase I Finding

Yield Deviation — 11 Wells Measured

The gap between each well's nameplate flow rate and its actual recorded output. What equipment is rated to do versus what it actually delivers — this is the core of what SCI-MIP quantifies.

Phase I Average
38%
Mean yield deviation
across 11 measured wells
Below nominal flow rate
Well · 11-423
25.8%
Deviation from nominal
Well · 11-374
18.8%
Deviation from nominal
Well · 11-409
42.1%
Deviation from nominal
Well · 11-697
59.4%
Deviation from nominal
Well · 11-262
74.8%
Deviation from nominal
Well · 24-19
49.7%
Deviation from nominal
Well · 11-818
20.7%
Deviation from nominal
Well · 16-12
48.0%
Deviation from nominal
Well · M16-12
32.3%
Deviation from nominal
Well · 11-815
8.6%
Deviation from nominal
<40% · Moderate
40–60% · High — intervention recommended
>60% · Critical — urgent replacement

What this means: On average, the 11 measured wells are delivering 38% less than their nameplate rating. This is not a prediction — it is a measured finding from Phase I field work. A well rated at 65 m³/h is, in practice, delivering around 40 m³/h. SCI-MIP's Baseline = 1.00 anchors this measured as-is state as the reference point for all future comparison.

The Reference System

What Baseline = 1.00 actually means

SCI-MIP Reference Point
1.00
The verified as-is state.
All performance ratios
measured against this
confirmed baseline.
1
Field measurement establishes the baseline. Multi-point data collection records what the system actually does — energy consumed, water delivered, operating hours, efficiency ratios. This confirmed current state is expressed as 1.00. Not a target. Not an average. The actual measured state.
2
All future performance is expressed as a ratio. If after intervention a system delivers 30% more water per kWh, its water ratio becomes 1.30×. If energy consumption drops 25%, its energy ratio becomes 0.75×. Every claim is traceable back to the confirmed 1.00 — the denominator that makes percentage claims meaningful.
3
This eliminates unverifiable claims. A "30% savings" claim without a confirmed baseline is structurally meaningless. SCI-MIP's notation makes unanchored claims impossible — there is always a denominator, and it is always a verified measurement, not an assumed average or a vendor benchmark.
GW-AZ-2024-001 · Applied Example
The January 2024 metered data — 138M kWh annual consumption, 0.492 kWh/m³ energy intensity, ~53% FAO irrigation efficiency — constitutes the confirmed Baseline = 1.00 for this system. All Phase II and Phase III ratios will be calculated against this reference. Nothing can be claimed as an "improvement" unless it is an improvement over this confirmed state.
Baseline Diagnostics

System Performance — Current State

Three key performance indicators extracted from the verified baseline dataset. These are measured realities, not estimates.

Energy Intensity · Current
0.492
kWh per m³ water extracted

The energy cost of delivering one cubic metre of groundwater under current operating conditions. Higher values indicate inefficiency — worn impellers, ageing motors, or poor operating point selection relative to system curve.

▼ Target 2028: 0.40 kWh/m³
Irrigation Efficiency · Current
~53%
Versus FAO irrigation norm (Doc. 24/56)

FAO norms for the Kur-Araz Valley project a full irrigation demand of approximately 258M kWh/year. Actual measured consumption is 138M kWh — indicating 53% of theoretical required level. Phase II will determine whether this reflects under-irrigation or genuine efficiency.

⚠ Under-irrigation or efficiency gap — Phase II to confirm
Annual Electricity Cost · Baseline
15.0M
AZN per year · 0.109 AZN/kWh tariff

The annual energy expenditure for the 1,069-well system at the verified 2024 baseline. This figure is the financial reference against which all savings projections are calculated — any claimed reduction must be expressed as a ratio against this confirmed number.

▼ Target 2029: 10.5M AZN/yr (30% reduction)
Indicative Projections — Not Guarantees

Energy Savings Scenarios

Three scenarios modelled from the verified 138M kWh baseline. All projections require Phase II field verification before any financial or contractual use. These are strategic planning tools — not performance commitments.

Conservative Scenario
20% Reduction
20%
27.6M kWh/yr energy reduction
3.05M AZN
Annual savings potential
Remaining consumption110.4M kWh/yr
Est. payback period8–10 years
Primary interventionMotor audits + VFD
Aggressive Scenario
40% Reduction
40%
55.2M kWh/yr energy reduction
6.02M AZN
Annual savings potential
Remaining consumption82.8M kWh/yr
Est. payback period5–7 years
Primary interventionFull system + solar integration

Indicative Projections Only. These scenarios are computed from the verified baseline using SCI-MIP analytical protocols. They represent the envelope of achievable outcomes based on comparable system interventions. They do not constitute guarantees, contractual commitments, or certified outcomes. All scenarios require Phase II field verification and are subject to revision. Proportional — not additive — combination of interventions is assumed.

GW-AZ-2024-001 · Verification Timeline

Field Verification Roadmap

SCI-MIP structures verification in phases. Each phase produces evidence that informs the next. No phase output is used beyond its validated scope.

2024 · Complete
Phase I
Baseline Inventory
Full 1,069-well inventory. Metered consumption data. 11-well yield deviation study. Baseline = 1.00 confirmed.
2025–2026 · Active
Phase II
Extended Measurement
Multi-season energy and water metering. 100-well detailed flow measurement. FAO irrigation efficiency cross-validation.
2026 · Planned
Phase III
Scenario Verification
Pilot intervention on 50 wells. Before/after measurement under SCI-MIP protocols. Scenario calibration against actual results.
2027 · Planned
Phase IV
L4 Compliance Report
Full regulatory-grade verification report. Externally auditable data chain. Investment-grade evidence package for institutional use.
Sovereign Verification in Practice

This is what verified evidence
actually looks like

GW-AZ-2024-001 is the first. The same rigour applies to every system that enters the SCI-MIP framework — regardless of geography, technology, or scale.