Stratya2D - Kinematic Decompaction and Backstripping

Straya2D enhances traditional basin analysis by extending 1D decompaction and backstripping methodologies to a 2D framework using seismic cross-sections. This Python-based tool leverages image processing techniques to integrate horizon extraction, depth normalisation, and Monte Carlo Simulation for uncertainty quantification.

Features

• Backstripping and Decompaction: Uses Monte Carlo simulation for uncertainty estimation.
• Horizon Extraction: Automatically detects and processes seismic horizons from PNG or JPEG images.
• 2D Decompaction and Backstripping: Calculates changes in depositional thickness over time across a 2D seismic cross-section.
• Monte Carlo Simulation: Quantifies uncertainties in tectonic subsidence and sediment compaction.
• Visualisation: Provides dynamic 2D visualisations of basin evolution and horizon dynamics.
• Horizon Flattening: Adjusts seismic horizons to a common reference level, enabling clearer stratigraphic interpretation and basin evolution analysis.

Installation

1. Clone the Repository

   git clone https://github.com/harikrishnannalinakumar/Stratya2D.git
   cd Stratya2D

2. Install the Dependencies

   pip install -r requirements.txt

   (Ensure you have Python installed before running this command.)

User Guide

Configure parameters

1. Open main.py and input the following parameters:

• Tectonic subsidence calculations (Monte Carlo simulation).
• Horizon extraction and smoothing settings (default values generally work well in most cases).
• Vertical and horizontal distance normalisation for seismic data.
• Well location.

Input image with horizons marked

2. Place an input image with marked horizons inside: input/{figure_name}
   (You can use the default image provided in the folder for testing.)

Run the Code

3. Execute

     python main.py