oil-gas-production-data-analyzer

To run Arps decline curve analysis, you provide monthly oil and gas production data with units, and the analyzer fits exponential, hyperbolic, or harmonic models to the declining phase while excluding shutdown periods. It then reports fit quality metrics like R² alongside forecast tables.

Generating production forecasts to economic limits from daily rates involves parsing mixed input formats with units, validating sufficient declining-phase data points, and computing forward forecasts with explicitly stated assumptions and limitations. The analyzer outputs structured forecasting tables based on the fitted decline models.

Assessing water cut trends and water-drive characteristic curves requires analyzing water cut evolution over time from production measurements to classify water drive types. The analyzer applies Type A or Type B characteristic curve methods when supported by the data to forecast future water cut behavior.

Evaluating injection-production response without formation volume factors is possible, as the analyzer computes voidage and injection-production metrics using clear assumptions to handle missing data. It processes available injection data alongside production series to assess reservoir pressure maintenance behavior.

Decline curve fitting limitations arise when production data includes shutdown periods, which must be excluded from the fitting process to avoid skewing the decline model. The analyzer requires sufficient declining-phase data points to validate the fit and will state limitations explicitly if data is inadequate.

Diagnosing production anomalies like sudden rate drops and water cut spikes involves analyzing production surveillance reports to identify abnormal behavior in rates, water cut, or injection data. The analyzer applies engineering reasoning to suggest likely causes and data-backed mitigation actions.