Halliburton Energy Services, Inc.

Cristian Lenin Sosareyes

Reena Agarwal Chanpura

Jie Yang

Umut Zalluhoglu

A computer-implemented method includes receiving sensor signals from at least one sensor at a bottom hole assembly within a wellbore. The method further includes identifying at least two downlink signal triggers from the sensor signals and detecting a downlink signal between the at least two downlink signal triggers. Further, the method includes decoding the downlink signal detected between the at least two downlink signal triggers and controlling a downhole tool using the decoded downlink signal.

Wellbore downlink communication

Systems and methods are disclosed for identifying one or more vibration mechanisms or other mechanism associated with tool failure. In one example, a machine learning data system comprises a data pre-processing module, a machine learning training module, and a predictive module. The pre-processing module analyzes dynamic sensor input to identify one or more vibration mechanisms associated with a downhole tool. The machine learning training module identifies a correlation between dynamic sensor data and failure data for a plurality of downhole tools. The predictive module correlates the one or more vibration mechanism with tool failure or performance.

Use of vibration indexes as classifiers for tool performance assessment and failure detection

A method and system for a rotary steerable system (RSS). The method may comprise performing a tool position calculation from the one or more measurements and creating one or more event flags based at least in part on a location of the RSS in a formation, wherein the one or more event flags are created by an information handling system disposed on a bottom hole assembly. The method may also comprise selecting an algorithm for the tool position calculation based on the one or more event flags. The system may comprise one or more sensors configured to take one or more measurements and an information handling system disposed on a bottom hole assembly.

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Houston, TX, United States of America

Cristian Lenin Sosareyes