READ ME File For 'Optimisation of Near-Surface Seismic Reflection Data'

Dataset DOI: 10.5258/SOTON/D3111

ReadMe Author: Samuel Callum Clay, University of Southampton, ORCID ID 0000-0001-9819-0428

This dataset supports the thesis entitled:
Optimisation of Near-Surface Seismic Reflection Data
AWARDED BY: Univeristy of Southampton
DATE OF AWARD: 2024

DESCRIPTION OF THE DATA
3 Main Folders, within each of these you will find further folders where the relevant raw & processed seismic data (if applicable), parameter grids, and additional datasets are stored. The main folders and accompanying secondary folders are listed below:

 Chapter 2 - Modelling the Acquisition Geometry of Near-Surface Marine Seismic Reflection Data
	- Synthetic models

 Chapter 3 - The importance of Velocity Modelling and Uncertainties in Deriving Physical Properties for the Marine Near-Surface
	- Monte Carlo Simulation Codes
	- P190 Navigation Codes
	- Porosity Grids
	- Raw and Processed SEGY Data
	- Velocity 

 Chapter 4 - A Quantitative Geophysical Analysis of Amplitude Anomalies in Hollandse Kust West
	- Inversion Grids
	- Original Survey Reports (Fugro)
	- Physical Properties
	- Raw and Processed SEGY
	- Velocity Models



In order to open the Seismic Data it is recommended to use:
- Seisee
- LandMark's Seispace or Promax processing software 
- Interpretation Software such as IHS Kingdom or Petrel
- Seismic Unix

For the Monte Carlo and P190 Codes it is recommended to use:
- Bash Scripting
- C



Date of data collection: 26/09/2017 - 10/08/2023
 

Licence:
CC BY

Related projects/Funders:
NERC Centre for Doctoral Training in Oil and Gas 

Related publication:
Optimisation of Source and Receiver Geometry for Ultra High Frequency Seismic Data - Samuel Callum Clay, Mark E Vardy & Timothy Henstock - DOI:https://doi.org/10.3997/2214-4609.201802673

Assessment of Imaging Approaches for Ultra-High Frequency Seismic Data in the Shallow Subsurface - Samuel Callum Clay, Mark E Vardy & Timothy Henstock - DOI: https://doi.org/10.3997/2214-4609.202020121


Date that the file was created: June 2024

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