Doctoral Dissertations

Abstract

"Identifying reservoir parameters through well test analysis requires the use of numerous heuristic rules, such as establishing the initial data (time prior to test, flowrates, etc.) and selecting the type of analysis (multiphase, multirate, fracture, etc.), to evaluating the correct data for analysis or matching the best type curve.

This paper describes an application of artificial intelligence through a compilation of facts, rules-of-thumb, and procedures in the form of an interactive computer program, an expert system. Differing from previous work, this program solves well tests in a traditional manner, proceeding forward through the problem from fluid and rock properties, analyzing the pressure and flow rate data, and then conducting the appropriate analyses while employing expertise at every step. Previous works have solved the problem backwards, guessing reservoir parameters until a reasonable match of the pressure test data is found. Programs of the forward type have reflected both extremes: the simpler offers interactive manipulation of the data, while the more complex are "black box" programs. This expert system is between these two extremes.

The system follows the semilog and type curves analyses systematically for any combination of oil, gas (gas pseudo pressure), and/or water flow, multirate, or fracture flow (vertical and dual porosity). Unlike previous works, which offer the options to conduct these procedures separately, the expert system decides which methods should be used and in what order.

The results from this expert system compared well with published or accepted values for several buildup well tests"--Abstract, page iii.

Advisor(s)

Koederitz, Leonard

Committee Member(s)

Barr, David J.
Harvey, A. Herbert
Dekock, Arlan R.
Numbere, Daopu Thompson, 1951-

Department(s)

Geosciences and Geological and Petroleum Engineering

Degree Name

Ph. D. in Petroleum Engineering

Publisher

University of Missouri--Rolla

Publication Date

Fall 1989

Pagination

viii, 103 pages

Note about bibliography

Includes bibliographical references (pages 56-61).

Rights

© 1989 Scott Michael Frailey, All rights reserved.

Document Type

Dissertation - Restricted Access

File Type

text

Language

English

Thesis Number

T 5936

Print OCLC #

22000366

Electronic OCLC #

1000538670

Download
Off-campus S&T users

Share My Dissertation If you are the author of this work and would like to grant permission to make it openly accessible to all, please click the button above.

Share

 
COinS