Abstract: Disclosed herein is a method of canceling noise in a wellbore telemetry system. The method includes, acquiring at least one signal in the system, predicting at least one deterministic component of the at least one signal based upon a change of at least one deterministic component from past signal values, and subtracting the at least one predicted deterministic component from the acquired at least one signal.

Abstract: Standard video compression techniques apply motion-compensated prediction combined with transform coding of the prediction error. In the context of prediction with fractional-pel motion vector resolution it was shown, that aliasing components contained in an image signal are limiting the prediction efficiency obtained by motion compensation. In order to consider aliasing, quantization and motion estimation errors, camera noise, etc., we analytically developed a two dimensional (2D) non-separable interpolation filter, which is independently calculated for each frame by minimizing the prediction error energy. For every fractional-pel position to be interpolated, an individual set of 2D filter coefficients is determined. Since transmitting filter coefficients as side information results in an additional bit rate, which is almost constant for different image resolutions and total bit rates, the loss in coding gain increases when total bit rates sink.

Abstract: Separation of telemetry and noise signals in a telemetry system is accomplished by modeling the system as one in which two sources are operating simultaneously. Direct and indirect implementations by IIR and FIR filters are discussed.

Abstract: The transfer function of the communication channel in a mud pulse telemetry system is determined by sending a known signal through the channel and spectral analysis of the received signal. The known signal may be a chirp signal or a stepped frequency signal. Based on the determined transfer function, operating parameters of the pulser are adjusted.

Abstract: Measurements made with dual sensors (flow rate or pressure) are used to attenuate pump noise in a mud pulse telemetry system.

Abstract: Measurements made with at least two sensors (flow rate or pressure) during generation of a message concurrently with operation of a noise source are used to estimate a channel transfer function. The estimated transfer function is then used to attenuate pump noise in a mud pulse telemetry system. It is emphasized that this abstract is provided to comply with the rules requiring an abstract which will allow a searcher or other reader to quickly ascertain the subject matter of the technical disclosure. It is submitted with the understanding that it will not be used to interpret or limit the scope or meaning of the claims.

Abstract: A decision feedback equalizer (DFE) structure which uses a reference signal based adaptive equalizer as forward filter and a blind adaptive equalizer as feedback filter is used for surface processing of mud pulse telemetry data.

Abstract: A system for transmitting information in a well comprises a tubular string disposed in the well and having a drilling fluid flowing therethrough. A pulser is disposed in the tubular string and transmits a pulse synchronization marker comprising a chirp signal. A surface controller, acting under programmed instructions, detects the chirp signal adjusts a signal decoding technique based on the detected chirp signal.

Abstract: Channel estimation and signal equalization is used in a mud-pulse telemetry system for uplink communication during drilling of wellbores.

Abstract: Measurements made with dual sensors (flow rate or pressure) are used to attenuate pump noise in a mud pulse telemetry system.

Abstract: The transfer function of the communication channel in a mud pulse telemetry system is determined by sending a known signal through the channel and spectral analysis of the received signal. The known signal may be a chirp signal or a stepped frequency signal. Based on the determined transfer function, operating parameters of the pulser are adjusted.