Accurate Prediction of Feed Enthalpy and Mass Flow Using Flowing Survey Analysis Workflow by Combining Production Logging Analysis (PLA) and Wellbore Simulation

Abstract

Wellbore simulation is used to build a well model based on the flowing PTS logs. The solution is usually non-unique for multiple feed wells since feed parameters such as enthalpy and mass flow are assumed arbitrarily based from a broad range of values. A workflow that combines standard production logging analysis (PLA) and wellbore simulation using flowing PTS data was developed to derive a more accurate estimate of feed enthalpy and massflow. PLA generates volumetric gas and liquid flowrates per feed using pressure, temperature, fluid velocity and pressure-derived density using multiphase flow correlation. Standard thermodynamic relationships are used to convert volume to mass flow rates and calculate enthalpy per feed. Well model is constructed using wellbore simulation by matching flowing pressure, temperature, fluid velocity and bore output curve. The workflow was tested and validated using multiple flowing survey data. The number of iteration in the simulation is significantly reduced with increased confidence in the well model. The well model will serve as a baseline for future intervention. Furthermore, these parameters are inputs to the reservoir model, analytics project and well design and therefore can increase prediction accuracy.