Petroleum & Petrochemical Engineering Journal (PPEJ)

ISSN: 2578-4846

Research Article

Numerical Simulation of a Multilateral Saturated Reservoir using MATLAB-based Simulator

Authors: Ekrem Alagoz*, Emre Can Dundar and Mouad Al Krmagi

DOI: 10.23880/ppej-16000399

Abstract

This paper presents a detailed numerical simulation study of a multilateral saturated reservoir using a MATLAB-based simulator. The study focuses on the calculation of various parameters such as pressure, temperature, flow regime, gas and oil velocity, and pressure drops. The simulator uses four MATLAB script files and five function files to perform these calculations. The simulation results are analyzed and presented in various graphs and charts, including pressure vs depth, temperature vs depth, flow regime vs depth, gas and oil velocity vs depth, delta pressures vs depth, mixture density vs depth, liquid holdup vs depth, and production rates. In addition to presenting the simulation results, the study also conducts sensitivity analyses to examine the effects of varying wellhead pressure, reservoir thickness, and reservoir permeability. The sensitivity analyses provide useful insights into how changes in these parameters can affect the behavior of multilateral saturated reservoirs. Overall, the study concludes that the MATLAB-based simulator provides an effective tool for analyzing the behavior of multilateral saturated reservoirs. The simulator can be further improved by incorporating additional features and functionalities. The findings of this study can be useful for reservoir engineers and other professionals in the oil and gas industry who are involved in the design and optimization of production systems for multilateral saturated reservoirs. In summary, this paper contributes to the existing body of knowledge on numerical simulation of multilateral saturated reservoirs and provides a valuable resource for researchers and practitioners in the field.

Keywords: MATLAB-Based Simulator; Multilateral Reservoirs; Numerical Simulation; Production Optimization; Sensitivity Analysis

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