Synthetic Seismic Profile Plot

Work is partially supported by the U.S. Department of Energy (DOE) National Energy Technology Laboratory (NETL) under Grant Number DE-FE0002056.

This web application is a well profile presentation of the well data plotted against acoustic travel time in millisec with synthetic seismic plot tracks. In the same manner as Proile this program allows the user to turn plot tracks on or off or reorder the plot tracks. This web application requires sonic log curve data.

The synthetic seismogram is a seismic trace that has been contructed from well log data. It represents the idealize trace that should be observed with the seismic method at the location of the well. The Synthetic Seismic can be compared with the seismic trace actually measured at the well to improve the picking of seismic horizons, and to improve the accuracy and resolution of formations of interest.

The observed seismic trace is primarily a record of the ability of interfaces between formations to reflect elastic waves, which is called the reflection coefficent R. The reflection coefficient depends on the properties of the rock at the interface of the beds and in particular on its acoustic impedance. The acoustic impedance is the product of the seismic velocity and the density of the rock.
   

Sections:

  Main Page(this page)
  Description Description
  AppletJava Application accessible from the browser.
  HelpHelp with Synthetic Seismic Web Application Dialogs.


     
Donations
Developing software takes time and effort. If you like our web tools and would like to help support future versions, please consider making a donation! Donations of all sizes are appreciated.

We accept checks payable to the Kansas Geological Survey (KGS). Checks must be in US$ and drawn on a U.S. bank.

Kansas Geological Survey
1930 Constant Ave.
Lawrence, KS
66047-3726 USA
To assist administration please add "Seismic" in the "For" section of the check.
You may contact us
by e-mail at doveton@kgs.ku.edu
by phone 785-864-2100
by fax 785-864-5317

Author: John R. Victorine jvictor@kgs.ku.edu

The URL for this page is http://www.kgs.ku.edu/software/SS/