System and method for lightweight in-field compression of seismic data
AssigneeKing Fahd University of Petroleum and Minerals
InventorNaveed Iqbal
Life of this patent
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Abstract
A system, method, and non-transitory computer readable medium for in-field seismic data compression. The system includes geophones each having a 1-bit adaptive delta modulation for converting analog seismic signals to a modulated signal and transmitting the modulated signal, and a data collection center having a 1D convolutional neural network for receiving and compressing the transmitted modulated signal. The 1D CNN is configured to suppress quantization and random noise in the modulated signal.
Claims20
A seismic acquisition system, comprising:
- at least one seismic sensor having a 1-bit adaptive delta modulation (ADM) for converting analog seismic signals to a modulated signal and transmitting the modulated signal;
- and
- a data collection center, communicatively coupled to the least one seismic sensor, having processing circuitry and memory storing program instructions, which when executed by the processing circuitry perform a 1D convolutional neural network (CNN) for receiving and recovering the transmitted modulated signal,
- wherein the 1D CNN is trained to suppress quantization and random noise in the modulated signal.
A method of in-field seismic data compression, comprising:
- converting, via a 1-bit adaptive delta modulation (ADM) in at least one seismic sensor, an analog seismic signal to a modulated signal and transmitting the modulated signal;
- and
- receiving and recovering, via processing circuitry configured with a 1D convolutional neural network (CNN) in a data collection center, the transmitted modulated signal,
- wherein the 1D CNN is trained to suppress quantization and random noise in the modulated signal.
A non-transitory computer readable medium having instructions stored therein that, when executed by one or more processors, cause the one or more processors to perform a method of in-field seismic data compression, comprising:
- converting, via a 1-bit adaptive delta modulation (ADM) in at least one seismic sensor, an analog seismic signal to a modulated signal and transmitting the modulated signal;
- and
- receiving and recovering, via a 1D convolutional neural network (CNN) in a data collection center, the transmitted modulated signal,
- wherein the 1D CNN is trained to suppress quantization and random noise in the modulated signal.
Dependencies are inferred from the claim text.