Abstract
Within the Queensland energy industry, unconventional gas, such as Coal Seam Gas (CSG) production holds significant importance. This study employs the Continuous Wavelet Transform (CWT) to analyze variations in CSG production, aiming to comprehend its complex production dynamics. The primary objectives of this research are to identify and categorize gas rate production variations, quantify their attributes—such as frequencies, durations, and magnitudes—and explore their integration into forecasting models.
The study's results demonstrate successful identification and categorization of significant variations, specifically categorizing two types of variations impulse and step events. Through the CWT, the attributes of these events are quantified. Moreover, the obtained attributes are used to refine production forecasting via applying recreated production variations to conventionally smooth forecasting models such as type curves or history matching.
The broader impact of the study lies in its ability to provide deeper insights into CSG reservoir behavior. By uncovering patterns often obscured by traditional analysis methods, the CWT approach allows for better understanding of the operational dynamics. Quantifying the production variation into meaningful metrics results in more accurate and reliable production forecasts and more informed decision-making in optimizing production strategies.
