ABSTRACT

In this paper we consider the problem of maximizing the information theoretic sum-rate in a wireless geo-seismic acquisition system. Successive interference cancellation decoding is assumed at the gateway nodes, and Shannon capacity bounds are used to search for the optimal set of geophones to be decoded at each gateway. These optimization algorithms are simulated and compared, where it is shown that the ant system achieves the highest sum-rate compared to other algorithms.

Presentation Date: Tuesday, October 16, 2018

Start Time: 9:20:00 AM

Location: Poster Station 11

Presentation Type: Poster

Keywords:
wireless seismic data acquisition system, search space, artificial intelligence, interference, decode, upstream oil & gas, bps hz, machine learning, constraint, optimization problem
Subjects:
Reservoir Characterization, Information Management and Systems, Seismic processing and interpretation, Artificial intelligence
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2018. Society of Exploration Geophysicists
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