ABSTRACT

We present an artificial intelligence approach for enhancing the frequency spectrum of seismic data. We used synthetic seismic data as a training dataset for constructing a neural networks operator that can solve the posed problem. We then applied this operator to real seismic data and obtained broader frequency spectrum.

Presentation Date: Wednesday, September 27, 2017

Start Time: 1:50 PM

Location: 360A

Presentation Type: ORAL

Keywords:
synthetic dataset, algorithm, wavelet, dataset, frequency spectrum, seismic data, operator, machine learning, spectrum, artificial intelligence
Subjects:
Reservoir Characterization, Information Management and Systems, Seismic processing and interpretation
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2017. Society of Exploration Geophysicists
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