Edited by
M. Nikravesh, BISC Program, Electrical Engineering and Computer Sciences Department, University of California, Berkeley, CA, USA
L.A. Zadeh, BISC Program, Electrical Engineering and Computer Sciences Department, University of California, Berkeley, CA, USA
Fred Aminzadeh, FACT Corp., Sugar Land, USA
Description
This comprehensive book highlights soft computing and geostatistics applications in hydrocarbon exploration and production, combining
practical and theoretical aspects.
It spans a wide spectrum of applications in the oil industry, crossing many discipline boundaries
such as geophysics, geology, petrophysics and reservoir engineering. It is complemented by several tutorial chapters on fuzzy logic,
neural networks and genetic algorithms and geostatistics to introduce these concepts to the uninitiated. The application areas include
prediction of reservoir properties (porosity, sand thickness, lithology, fluid), seismic processing, seismic and bio stratigraphy, time
lapse seismic and core analysis.
There is a good balance between introducing soft computing and geostatistics methodologies that
are not routinely used in the petroleum industry and various applications areas. The book can be used by many practitioners such as processing
geophysicists, seismic interpreters, geologists, reservoir engineers, petrophysicist, geostatistians, asset mangers and technology application
professionals. It will also be of interest to academics to assess the importance of, and contribute to, R&D efforts in relevant areas.
Included in series
Developments in Petroleum Science
