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ASTM Selected Technical Papers
Computerization and Networking of Materials Databases: Fifth Volume
By
S Nishijima
S Nishijima
1
Center for Advanced Physical Fields, National Research Institute for Metals
,
Tsukuba
;
symposium chairman and editor
Search for other works by this author on:
S Iwata
S Iwata
2Research into Artifacts,
Center for Engineering, University of Tokyo
,
Tokyo
;
symposium chairman and editor
Search for other works by this author on:
ISBN-10:
0-8031-2419-8
ISBN:
978-0-8031-2419-6
No. of Pages:
293
Publisher:
ASTM International
Publication date:
1997

Materials data are used in all aspects of the development of natural gas resources. Unconventional gas resources require special attention in their development and may benefit from heuristic assessments of the materials data, geological site conditions, and the knowledge base accumulated from previous unconventional site developments. Opportunities for using expert systems in the development of unconventional natural gas resources are discussed. A brief introduction to expert systems is provided in a context that emphasizes the practical nature of their service. The discussion then focuses on the development of unconventional gas reserves. Whenever possible, the likelihood of success in constructing useful expert systems for gas resource development is indicated by comparisons to existing expert systems that perform comparable functions in other industries. Significant opportunities are found for applications to site assessment, the interpretation of well log data, and the monitoring and optimization of gas processing in small-scale recovery operations.

1.
Walker
,
T. C.
and
Miller
,
R. K.
,
Expert Systems Handbook
,
Fairmont Press
,
Lilburn, GA
,
1990
, p. 1.
2.
Dreyfus
,
D. A.
, “
Viewpoint
,”
Gas Research Institute Digest
, Vol.
13
, No.
4
,
1991
, pp. 16–17.
3.
Baseline Projection Data Book: 1989 GRI Baseline Projection of U.S. Energy Supply and Demand to 2010
, PB90-164-377,
National Technical Information Service
,
Springfield, VA
,
1989
.
4.
Parent
,
L.
, “
Clean Air, Ready or Not
,”
Gas World International
, Vol.
196
, No.
4867
,
1991
, p. 18.
5.
Hay
,
N. E.
,
Guide to New Natural Gas Utilization Technologies
,
Fairmont Press
,
Atlanta, GA
,
1985
, pp. 1–24.
6.
Kelly
,
J. L.
, “
Research in the Rockies
,”
Gas Research Institute Digest
, Vol.
13
,No.
4
,
1991
,pp. 3–15.
7.
Ruiz
,
R.
,
Syska
,
A.
, and
Singh
,
S.
, “
Reducing NOX Emissions from High-Performance Burners
,”
Gas Research Institute Digest
, Vol.
13
, No.
4
,
1991
, pp. 29–30.
8.
Jones
,
H.
, “
Hard Sell Needed to Push NGVs along Road to Success
,”
Gas World International
, Vol.
195
, No.
4864
,
1990
, pp. 44–46.
9.
Thompson
,
H. A.
, “
The Vital Link: Moving Natural Gas from Wellhead to Burner Tip
,”
Gas Research Institute Digest
, Vol.
13
, No.
3
,
1991
, pp. 2–13.
10.
Gilmore
,
V. E.
, “
The World's Smartest Houses
,”
Popular Science
,
09
1990
, pp. 56–57.
11.
Carrington
,
B. M.
, “
Expert Systems: Power to the Experts
,”
Database
,
04
1990
, pp. 47–50.
12.
Waterman
,
D. A.
,
A Guide to Expert Systems
,
Addison-Wesley
,
Reading, MA
,
1986
, p. 12.
13.
Beerel
,
A. C.
,
Expert Systems: Strategic Implications and Applications
,
Ellis Horwood Limited
,
Chichester, England
,
1987
, pp. 84–85.
14.
GRI Baseline Projection of U. S. Energy Supply and Demand to 2010
,
Gas Research Institute
,
Chicago
,
1991
.
15.
Kelly
,
J. L.
, “
Research in the Rockies
,”
Gas Research Institute Digest
, Vol.
13
, No.
4
,
1991
, pp. 3–15.
16.
Tight Gas Sands Evaluation and Technology Development: Final Report, NTIS PB87-144366,
National Technical Information Service
, Springfield, VA,
1987
.
17.
Campbell
,
A. N.
,
Hollister
,
V. F.
,
Duda
,
R. O.
, and
Hart
,
P. E.
, “
Recognition of a Hidden Mineral Deposit by an Artificial Intelligence Program
,”
Science
 0036-8075, Vol.
217
, No.
4563
,
1982
, pp. 927–929.
18.
Gaschnig
,
J.
, “
Application of the PROSPECTOR System to Geological Exploration Problems
,”
Proceedings, Machine Intelligence 10
,
Hayes
J. E.
,
Michie
D.
, and
Pao
Y. H.
, Eds.,
Ellis Horwood Ltd.
,
Chichester, England
,
1982
, pp. 301–323.
19.
Davis
,
R.
,
Austin
,
H.
,
Carlbom
,
I.
,
Frawley
,
B.
,
Pruchnik
,
Sneiderman
,
P. R.
, and
Gilreath
,
J. A.
, “
The DIPMETER ADVISOR: Interpretation of Geologic Signals
,” in
Proceedings of the Seventh International Joint Conference on Artificial Intelligence
,
Drinan
A.
, Ed.,
Morgan-Kaufmann Publishers
,
San Mateo, CA
,
1981
, pp. 846–849.
20.
Bonnet
,
A.
and
Dahan
,
C.
, “
Oil-Well Data Interpretation Using Expert System and Pattern Recognition Techniques
,” in
Proceedings of the Eighth International Joint Conference on Artificial Intelligence
,
Drinan
A.
, Ed.,
Morgan-Kaufmann Publishers
,
San Mateo, CA
,
1983
, pp. 185–189.
21.
Kimber
,
C. T.
,
White
,
K. L.
, and
Hendricks
,
F. S.
,
Texas Barrier Islands Region Ecological Characterization Atlas: Mineral Resources and Selected Oil and Gas Infrastructures Narrative
, NTIS PB85-188134,
National Technical Information Service
,
Springfield, VA
,
1984
.
22.
Kelley
,
J. L.
, “
Coalbed Methane: From Nuisance to New Source
,”
Gas Research Institute Digest
, Vol.
12
, No.
2
,
1989
, pp. 3–12.
23.
Kellar
,
S.
,
Thompson
,
T. W.
,
Strawn
,
J.
,
Holland
,
M.
, and
Owen
,
L.
,
Fracture Initiation Placement Technique Applied to Stimulating Tight Gas Sands with Weak Barriers
, NTIS PB85-192284,
National Technical Information Service
,
Springfield, VA
,
1985
.
24.
Holditch
,
S. A.
,
Carter
,
R. H.
,
Ely
,
J. W.
,
Semmelbeck
,
M. E.
, and
Hinkel
,
J.
,
Enhanced Gas Production Through Hydraulic Fracturing of Coal Seams
, NTIS PB89-125298,
National Technical Information Service
,
Springfield, VA
,
1988
.
25.
FRACPRO
,
Resources Engineering Systems, Inc.
, Cambridge, MA,
1991
.
26.
Park
,
W. T.
,
Urquidi-Macdonald
,
M.
,
Bergman
,
A.
, and
Lee
,
J.
,
Neural Network Computing Techniques Applied to Estimation of Porosity in Tight Sands Reservoirs: Phase Report January 11–March 20, 1990
, GRI-90/0186,
Gas Research Institute
, Chicago, IL,
1990
.
27.
Price
,
H. S.
, “
New Advances in Coal Bed Methane
,” in
First International Gas Research Conference
,
Gas Research Institute
,
Chicago, IL
,
1980
, p. 410.
28.
Kelley
,
J. L.
, “
Coalbed Methane: From Nuisance to New Source
,”
Gas Research Institute Digest
, Vol.
12
, No.
2
,
1989
, pp. 3–12.
29.
Bell
,
G. J.
and
Jones
,
A. H.
,
Coalbed Methane Production and Stimulation Database, COMPAS II: Documentation and User's Manual
, NTIS PB90-244377,
National Technical Information Service
,
Springfield, Virginia
,
1990
.
30.
Koenig
,
R. A.
,
Bumb
,
A. C.
,
Kunkel
,
J. R.
,
McKee
,
C. R.
, and
Murphy
,
C. L.
,
Hydrologic Characterization of Coal Seams for Methane Recovery: Final Report
, GRI-89/0220,
Gas Research Institute
, Chicago, IL,
1989
.
31.
Way
,
S. C.
,
Bumb
,
A. C.
,
Ramesh
,
M. S.
,
Pestotnik
,
C. C.
, and
Ali-Yallah
,
A.
,
Personal Computer Software for Well-Test Analysis
, NTIS Technical Note NTN89-0694,
National Technical Information Service
,
Springfield, VA
,
1987
.
32.
Covatch
,
G. L.
,
Layne
,
A. W.
, and
Salamy
,
S. P.
,
Coalbed Methane Modeling Analysis
, NTIS DE86001043,
National Technical Information Service
,
Springfield, VA
,
1985
.
33.
Waterman
,
D. A.
,
A Guide to Expert Systems
,
Addison-Wesley
,
Reading, MA
,
1986
, p. 264.
34.
Rauch-Hindin
,
W. B.
,
Artificial Intelligence in Business, Science, and Industry, Volume I: Fundamentals
,
Prentice-Hall
,
Englewood Cliffs, NJ
,
1986
, pp. 83–93.
35.
Chemical Process Research: Small-Scale Gas Processing Research
,” Technology Brief,
Gas Research Institute
,
Chicago, IL
,
07
1989
.
36.
Walker
,
T. C.
and
Miller
,
R. K.
,
Expert System Handbook
,
Fairmont Press
,
1990
, pp. 229–230.
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