Halliburton Energy Services, Inc.

Faisal Farooq Shah

Joni Polili Lie

Li Gao

Dingding Chen

Paravastu Badrinarayanan

Bipin Kumar Pillai

Mukul M Agnihotri

Brian Roberson

Murali Krishna Thottempudi

Hsu-Hsiang Wu

Matthew Chase Griffing

Wenquan Li

Lucian Popescu

Chris Gao

Thong Minh Nguyen

An electromagnetic interference (EMI) filter disposed in a downhole tool. The EMI filter may include at least one common mode choke. The at least one common mode choke may include a high permeability magnetic core and three coils wound around the high permeability magnetic core. The three coils may include an input and an output. The EMI filter may further include a power supply connected to two coils of the three coils and a common ground connected to a third coil of the three coils.

Noise filter design for imbalanced currents in downhole applications

Downhole telemetry systems and related methods to adaptively adjust pulse waveform width through digitally controlled pulsing parameters.

Adaptive pulse waveform for channel estimation in mud pulse telemetry

Downhole telemetry systems and related methods adaptively compensate for channel non-linearity effects. To compensate for channel non-linearity, the optimum signal generation parameters are determined that produce the desired modulated pressure variation at the surface. The signal generation parameters are optimized to minimize the discrepancy between the surface detected pressure signal and the intended signal. The mud propagation channel is first estimated in light of the known modulation scheme under an ideal linear-time-invariant channel assumption. The estimated channel is used to synthesize the modulated pressure signal undergoing the mud propagation given the initial signal generation parameters. The method then varies the synthesized signal generation parameters to search for the optimal signal generation parameters. The optimal signal generation parameters are then sent over downlink channel to the downhole pulser, which is ultimately used to generate the pulse waveform.

Optimization of pulse generation parameters to compensate for channel non-linearity in mud pulse telemetry

This disclosure presents a process for communications in a borehole containing a fluid or drilling mud, where a conventional mud pulser can be utilized to transmit data to a transducer. The transducer, or a communicatively coupled computing system, can perform pre-processing steps to correct the received data using an average of a moving time window of the received data, and then normalize the corrected data. The corrected data can then be utilized as inputs into a machine learning mud pulse recognition network where the data can be classified and an ideal or clean pulse waveform can be overlaid the corrected data. The overlay and the corrected data can be fed into a conventional decoder or decoded by the disclosed process. The decoded data can then be communicated to another system and used as inputs, such as to a well site controller to enable adjustments to well site operation parameters.

Machine learning mud pulse recognition networks

Systems, methods, and computer-readable media for in-situ calibration of magnetic field measurements. In some examples, a method can involve generating a magnetic field via a magnetic field source that is coupled to a downhole tool. The magnetic field source can be located within a fixed distance from one or more sensors coupled to the downhole tool. The method can also involve obtaining respective field measurements of the known magnetic field from the one or more sensors, and comparing the respective field measurements from the one or more sensors with respective reference measurements previously obtained from the one or more sensors to yield respective comparisons. The method can then involve determining, based on the respective comparisons, a respective sensitivity drift for each of the one or more sensors.

Technologies for in-situ calibration of magnetic field measurements

In some embodiments, an apparatus and a system, as well as methods, include sampling a received signal that represents a downhole signal source, at a sampling frequency and for a sampling duration, to provide a sampled signal. Further activity may comprise detecting a frequency of a component of the sampled signal from inspection of a frequency domain representation of the sampled signal. Further activity may comprise adjusting at least one operating frequency for the downhole tool such that the at least one operating frequency is outside a frequency range from the frequency of the component of the sampled signal. Additional methods, apparatus, and systems are disclosed.

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Houston, TX, United States of America

Faisal Farooq Shah