CO2 Storage Analysis Tool

Overview

This repository contains the CO2 Storage Analysis Tool, an interactive software developed using R Studio and R Shiny. The tool is designed to evaluate the feasibility of depleted gas reservoirs for Carbon Capture and Storage (CCS).

The project focuses on a specific case study:

• Sink (Storage): Beckler-008 Depleted Gas Reservoir (Cooper/Eromanga Basin, South Australia).
• Source (Emissions): Major natural gas-fired power plants in the CALABARZON region, Philippines (Ilijan, Sta. Rita, and San Lorenzo).

Key Features

The application provides a comprehensive workflow for CCS assessment:

1. Reservoir Suitability Classification: an initial screening module based on Raza et al. (2016) criteria (Depth, Porosity, Permeability, etc.).
2. Capacity Calculation (OGIP Method): Calculates theoretical and usable CO2 storage capacity using the Volumetric Equation.
3. Emissions Forecasting: Projects future CO2 emissions using linear regression based on historical data (1994–2023).
4. Reservoir Simulation: Visualizes the fill-up process over time, modeling pressure changes using the Soave-Redlich-Kwong (SRK) Equation of State.
5. Sensitivity Analysis: A Spider Plot tool to rank which geological parameters like Porosity and Bgi, most significantly impact storage capacity.

Data & Methodology

Data Sources

• Reservoir Data: Geological parameters such as porosity, permeability, net thickness sourced from the Beckler-008 Well Completion Report.
• Emissions Data: Historical CO2 emissions (1994–2023) from the Department of Energy (DOE) for Ilijan, Sta. Rita, and San Lorenzo plants.

Key Findings

Based on the analysis performed by this tool:

• Usable Capacity: The Beckler-008 reservoir has an estimated usable capacity of ~145,935 kt CO2e (after applying a 10% safety factor).
• Storage Lifespan: The reservoir can accommodate the projected emissions from the three power plants for approximately 45.5 years (starting from 2025).
• Sensitivity: The Gas Formation Volume Factor (Bgi) was identified as the most influential parameter on capacity estimation.

Installation & Usage

To run this application locally, you need R and RStudio installed.

1. Clone the repository:

   git clone [https://github.com/your-username/CO2-Storage-Analysis-Tool-Beckler008.git](https://github.com/your-username/CO2-Storage-Analysis-Tool-Beckler008.git)

2. Install Required Libraries: Open Beckler 008 Final.R and ensure the following packages are installed:

   install.packages(c("shiny", "shinydashboard", "readxl", "dplyr", "tidyr", 
                      "ggplot2", "plotly", "shinyjs", "scales", "shinyWidgets", 
                      "RColorBrewer", "rlang", "stringr", "purrr", "glue", 
                      "zoo", "DT", "phaseR"))

3. Run the App: Open the R script and click the "Run App" button in RStudio.

Authors

• Kimm Z. Alvarez
• Oliven Diandly L. Cosep
• Lloyd Roldan A. Mejorada
• Benchz Nicole C. Sobrepeña (Leader)

Bachelor of Science in Petroleum Engineering, Palawan State University (2025)

License

This project is for educational and research purposes.