Wireless
Geophone Networks
Oil and gas
industries have been directing their interest and resources towards monitoring
and exploring the Earth’s subsurface and its underlying stratigraphy/structure.
They have increased their investments in seismic exploration to discover new
hydrocarbon reservoirs in pursuit of efficient production. The tendency towards
wireless seismic acquisition has motivated many researchers and companies to
investigate Wireless Geophone Networks (WGNs) as a transition from traditional
cable-based seismic acquisition systems in exploration. During these surveys,
geophones are placed at the surface -typically in an array configuration- to
cover the area under exploration, then they detect reflected waves, e.g. P- and
S-waves, surface waves, after a seismic sweep by truck-mounted vibrators on
ground. Upon proper processing of the collected seismic data from all geophones,
high quality seismic images/maps of the subsurface can be obtained. We have
investigated and proposed novel WGN architectures for high-density seismic
acquisition with high-speed and efficient power consumption in collecting
seismic data.
Underwater
Wireless Communications
Underwater
wireless communication has recently attracted attention for many applications
including oceanographic data collection, pollution monitoring, seismic
activities measurement, exploration of natural resources among others.
Orthogonal frequency division multiplexing (OFDM) combined with multi-relay
cooperative transmission provides additional spatial diversity compared to
conventional non-cooperative underwater acoustic (UWA) systems. We have analyzed
the Intercarrier interference (ICI) due to non-uniform Doppler distortion,
proposing different receiver structures, and deriving expressions for ICI
matrices. We have also investigated the outage performance for a cooperative
OFDM UWA communication system, both amplify-and-forward (AF) and
decode-and-forward (DF) relaying schemes. Analytical expressions as bounds on
outage probability and outage capacity were derived. Monte-Carlo simulations
corroborate the enhanced performance of cooperative OFDM UWA communication
systems.
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