Skill: Analyze Well Production

Domain

energy

Description

Analyzes oil and gas well production data to predict decline curves, estimate ultimate recovery (EUR), and recommend optimization interventions based on reservoir engineering models.

Tags

energy, oil-gas, production-analysis, reservoir-engineering, decline-curve

Use Cases

• •Production decline forecasting
• •Artificial lift optimization
• •Workover candidate identification
• •EUR estimation for reserves

Proprietary Business Rules

Rule 1: Decline Curve Analysis

Proprietary decline models (exponential, hyperbolic, harmonic) selected based on reservoir and completion characteristics.

Rule 2: Water Cut Threshold

Economic limit calculations based on water handling costs and oil price assumptions.

Rule 3: Intervention Triggers

Production anomaly detection triggers workover or optimization recommendations.

Rule 4: Artificial Lift Selection

Lift method recommendations based on well conditions and production characteristics.

Input Parameters

• •well_id (string): Well API number or identifier
• •production_history (list): Monthly production data (oil, gas, water)
• •completion_type (string): Conventional, hydraulic fracture, horizontal
• •reservoir_type (string): Conventional, tight, shale
• •current_lift_method (string): Natural flow, rod pump, ESP, gas lift
• •wellhead_pressure (float): Current wellhead pressure (psi)
• •oil_price (float): Current oil price assumption ($/bbl)

Output

• •decline_forecast (dict): Production decline predictions
• •eur_estimate (float): Estimated ultimate recovery (bbl)
• •economic_limit (dict): Economic limit calculation
• •optimization_recommendations (list): Intervention recommendations
• •lift_efficiency (float): Current lift system efficiency

Implementation

The analysis logic is implemented in production_analyzer.py and references decline parameters from decline_models.csv.

Usage Example

from production_analyzer import analyze_production

result = analyze_production(
    well_id="42-123-45678",
    production_history=[
        {"month": "2025-01", "oil_bbl": 5000, "gas_mcf": 8000, "water_bbl": 2000},
        {"month": "2025-02", "oil_bbl": 4800, "gas_mcf": 7800, "water_bbl": 2200}
    ],
    completion_type="hydraulic_fracture",
    reservoir_type="shale",
    current_lift_method="rod_pump",
    wellhead_pressure=150,
    oil_price=75.00
)

print(f"EUR: {result['eur_estimate']} bbl")

Test Execution

from production_analyzer import analyze_production

result = analyze_production(
    well_id=input_data.get('well_id'),
    production_history=input_data.get('production_history', []),
    completion_type=input_data.get('completion_type'),
    reservoir_type=input_data.get('reservoir_type'),
    current_lift_method=input_data.get('current_lift_method', 'natural_flow'),
    wellhead_pressure=input_data.get('wellhead_pressure', 0),
    oil_price=input_data.get('oil_price', 70)
)