Zobrazeno 1 - 10
of 33
pro vyhledávání: '"Ulf Nordlund"'
Publikováno v:
GFF; September 1991, Vol. 113 Issue: 2-3 p271-271, 1p
Publikováno v:
Netherlands Journal of Geosciences - Geologie en Mijnbouw. 80:53-70
Aeolian sands are the main reservoir rock in some of the largest gas fields, such as the Shell-Exxon Groningen Field, operated by NAM. Although aeolian reservoirs have been studied for many years, there is still room for improvement in the predictive
Autor:
Ulf Nordlund
Publikováno v:
Computers & Geosciences. 25:449-456
FUZZIM is a simple but powerful 3-D forward stratigraphic modeling tool developed at Uppsala University, Sweden. It differs from other stratigraphic modeling programs in that it uses fuzzy logic instead of conventional mathematics for controlling the
Autor:
Ulf Nordlund, Björn A. Malmgren
Publikováno v:
Palaeogeography, Palaeoclimatology, Palaeoecology. 136:359-373
Artificial neural networks are computer systems that have the ability to ‘learn’ a set of output, or target, vectors from a set of input vectors. Learning is achieved by self-adjustment of a set of parameters to minimize the error between a desir
Autor:
Ulf Nordlund, Björn A. Malmgren
Publikováno v:
Paleoceanography. 11:505-512
Artificial neural networks, a branch of artificial intelligence, are computer systems formed by a number of simple, highly interconnected processing units that have the ability to learn a set of target vectors from a set of associated input signals.
Autor:
Cedric M. Griffiths, Ulf Nordlund
Publikováno v:
Computers & Geosciences. 19:1185-1205
The steps involved in the automatic construction of chronostratigraphic sections in two and three dimensions are presented and discussed. Solutions to some of the practical problems involved in chronostratigraphic analysis of seismic data are suggest
Autor:
Cedric M. Griffiths, Ulf Nordlund
Publikováno v:
Geoinformatics. 4:313-325
Autor:
Cedric M. Griffiths, Ulf Nordlund
Publikováno v:
Geoinformatics. 4:327-336
Autor:
Ulf Nordlund
Publikováno v:
SEPM Journal of Sedimentary Research. 66
This paper examines the potential of using methods derived from fuzzy set theory to utilize qualitative geological data in numerical modeling. An example application involving dynamic stratigraphic modeling is used to describe the basic design and fu