F. Bouille : The Use of G.I.S. in Petroleum Industry
255
• the pipeline network, with all the basic equipment, connected to large
centers such as terminals or refineries (requiring approximately 500
classes). Pipelines are easily modeled by neurons, in order to provide a
more dynamic view of oil and gas flows; this theme is connected to
specific components allowing a real-time interaction.
The pipeline structure directly derives from the object-oriented
prototype "NETWORK" and is enriched by specific components.
6 CONCLUSION
The basis of the whole structuring activity in oil exploration and production is a
graphical object-oriented model managing implicit persistent abstract data types,
which can be grouped into prototypes and structures and can be re-used, thus
avoiding an important waste of brain, effort, time and money.
This model, named HBDS, integrates facts, rules, processes, neurons and
constraints, all objects of classes, possibly considered in a fuzzy context; it
provides the kernel of a GIS which is used as a basis for an object-oriented system
dealing with all the activities of oil exploration and production, at the different
steps of the studies, and including all the common tools of the field (geophysics,
diagraphies, platforms, piping, etc.).
The same model, used for databanking, problem solving, simulation, automated
learning, provides a convenient tool for decision-makers, and most of all, a
common tool providing easier communication between the different activities of a
very large industry.
KEYWORDS
GIS, petroleum industry, oil exploration, object oriented database, expert system,
neural system.
REFERENCES
[1]
Bouille, F., "A structured expert system for geodata banking", 9th Int. CODATA Conf.,
Jerusalem, June 24-27, in "the Role of Data in Scientific Progress", Elsevier, 417-420
(1984).
[2]
Bouille, F., "Developing strategies in GIS, by problem-solving methods based on a
structured expert system", Int. Conf. EUROCARTO Vll, Enschede, Sept.19-22, Proceed. 12p.
in "Environmental Applications of Digital Mapping", ITC.Pub., N-8, 42-50 (1988).
[3]
Bouille, F., "Prototyping in GIS: methodology, uses and benefits", EUROCARTO XI Int.
Conf. Kiruna, Dec. 8-11, Proceed. 48-66 (1993a).
[4]
Bouille, F., "Comparing processes, rules and neurons, for dynamical phenomenon modeling
in GIS", EUROCARTO Xl Int. Conf. Kiruna, Dec.8-11, Proceed. 177-194 (1993b).
[5)
Bouille, F., "Methodology of building a class-based integrated platform for GIS design and
development", EGIS/MARl '94 Int. Conf., Paris, March 29-April, Proceed., Vol. 1, 909-918
(1994a).
255
• the pipeline network, with all the basic equipment, connected to large
centers such as terminals or refineries (requiring approximately 500
classes). Pipelines are easily modeled by neurons, in order to provide a
more dynamic view of oil and gas flows; this theme is connected to
specific components allowing a real-time interaction.
The pipeline structure directly derives from the object-oriented
prototype "NETWORK" and is enriched by specific components.
6 CONCLUSION
The basis of the whole structuring activity in oil exploration and production is a
graphical object-oriented model managing implicit persistent abstract data types,
which can be grouped into prototypes and structures and can be re-used, thus
avoiding an important waste of brain, effort, time and money.
This model, named HBDS, integrates facts, rules, processes, neurons and
constraints, all objects of classes, possibly considered in a fuzzy context; it
provides the kernel of a GIS which is used as a basis for an object-oriented system
dealing with all the activities of oil exploration and production, at the different
steps of the studies, and including all the common tools of the field (geophysics,
diagraphies, platforms, piping, etc.).
The same model, used for databanking, problem solving, simulation, automated
learning, provides a convenient tool for decision-makers, and most of all, a
common tool providing easier communication between the different activities of a
very large industry.
KEYWORDS
GIS, petroleum industry, oil exploration, object oriented database, expert system,
neural system.
REFERENCES
[1]
Bouille, F., "A structured expert system for geodata banking", 9th Int. CODATA Conf.,
Jerusalem, June 24-27, in "the Role of Data in Scientific Progress", Elsevier, 417-420
(1984).
[2]
Bouille, F., "Developing strategies in GIS, by problem-solving methods based on a
structured expert system", Int. Conf. EUROCARTO Vll, Enschede, Sept.19-22, Proceed. 12p.
in "Environmental Applications of Digital Mapping", ITC.Pub., N-8, 42-50 (1988).
[3]
Bouille, F., "Prototyping in GIS: methodology, uses and benefits", EUROCARTO XI Int.
Conf. Kiruna, Dec. 8-11, Proceed. 48-66 (1993a).
[4]
Bouille, F., "Comparing processes, rules and neurons, for dynamical phenomenon modeling
in GIS", EUROCARTO Xl Int. Conf. Kiruna, Dec.8-11, Proceed. 177-194 (1993b).
[5)
Bouille, F., "Methodology of building a class-based integrated platform for GIS design and
development", EGIS/MARl '94 Int. Conf., Paris, March 29-April, Proceed., Vol. 1, 909-918
(1994a).