Author_Institution :
Dept. of Electr. Eng., King Fahd Univ. of Pet. & Miner., Dhahran, Saudi Arabia
Abstract :
The purpose of this paper is to share the experience gained in, and the efforts made toward, introducing and implementing a new course in the challenging and important area of geophysical signal processing at the Electrical Engineering (EE) Department, King Fahd University of Petroleum and Minerals (KFUPM), Dhahran, Saudi Arabia. The new course, titled “Geo-Signal Processing,” was offered both at the graduate level and as a special topics course to undergraduates. The course was developed in collaboration with the Earth Sciences Department at KFUPM. This paper contributes new information because it stresses the multidisciplinary aspects of digital signal processing (DSP) technologies when applied to estimating the Earth´s layered structure on the basis of seismic data. Unlike many Earth sciences seismic data processing courses, this Geo-Signal Processing course also emphasizes that the perspective taken by those working in DSP is different from that taken by geophysicists. The course presents DSP with particular emphasis on seismic data signals and the artifacts accompanying them while covering the principles and algorithms needed for processing seismic signals in both deterministic and statistical fashion. Topics include, but are not limited to, basic seismic theory, acquisition of seismic data, analysis of seismic signals and noise, deterministic filtering of seismic data, and statistical processing of seismic data.
Keywords :
data acquisition; electrical engineering education; geophysical signal processing; physics education; seismology; statistical analysis; DSP perspective; Dhahran; Earth Sciences Department; Earth sciences seismic data processing courses; KFUPM; King Fahd University of Petroleum and Minerals; Saudi Arabia; basic seismic theory; deterministic filtering; digital signal processing; electrical engineering; geo-signal processing; geophysical signal processing; graduate level course; multidisciplinary course; seismic data acquisition; seismic signal analysis; statistical processing; undergraduate course; Data processing; Digital signal processing; Earth; Materials; Noise; Petroleum; Petroleum industry; Applications of digital signal processing; deterministic signal processing; geo-signals; seismic data processing; statistical signal processing;