Drill Stem Test (DST) Data Entry & Quantitative Analysis

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

This Java Applet allows the user to enter or import Drill Stem Test (DST) Data directly into the program. There are essentially no standard ASCII DST data files formats existing that will allow the user to read and process DST Data. This program was written to assist the user in entering DST data, perform quantitative analysis on the shut in pressure data and then to save the information into a Log ASCII Standard (LAS) version 3.0 File developed by the Canadian Well Logging Society . This version provides a means to collect all the geological data in one file. Although the LAS 3.0 Format has default data types, the user can add their own data types to the file provided they use the primary section types, i.e., Parameter, Definition and Data whenever possible, which are briefly paraphrased below,

• ~NewSection_Parameter contains a one dimensional data item consisting of (usually but not restricted to) one or two elements. Each line also contains a full description of that data.
• ~NewSection_Definition although structurally identical to a Parameter Data lines (see above), each Column Definition line is used to describe each matching (by order) channel contained in the matching Column Data section. The name, unit, log code, description and format (if used) contained in each Column Definition line fully describe the channel it refers to.
• ~NewSection_Data | NewSection_Definition
Each line contains a series of delimited data values. The delimiting character is defined by the value of the DLM parameter in the ~Version section. Descriptions of each data are contained in the matching Column Definition section.

Note: This program can handle english units only at this time.

Sections:
	Main Page	(this page)
	Description	Description
	Applet	Java Application accessible from the browser.
	Help	Help with DST Web Application Dialogs.

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

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