Abstract: Analyzing solid components in the return line of a borehole can be accomplished by implementing a bar or disc in the return line. As solid components pass by, they will generate an acoustic wave on impact. In another aspect, solid components can be directed to a shaker system where the solid components will impact a soundboard. The acoustic waves can be captured, such as by a microphone or transducer. The acoustic waves can be processed and transformed into acoustic data. A machine learning system can use previously trained models to determine the solid component parameters using the acoustic data. The parameters can include the size, shape, composition, density, softness, wettability, and other parameters of the solid components. These parameters can then be used as inputs to users or other borehole systems, such as a well site controller to improve drilling operations or to identify the need to implement corrective actions.

Abstract: Determining the likelihood of an event occurring during a drilling operation can utilize various input parameters collected from one or more sensors located downhole or at a surface location of the borehole undergoing the drilling operation. The collected input parameters can be weighted according to user parameters and then calculated over time to determine a trend in the input parameters. The trend can be analyzed against one or more probability models, such as using a machine learning process, to determine a potential for the event to occur and an estimated time interval over which the event may occur. The results of this analysis can be used by users or drilling systems to implement corrective actions to reduce or avoid the potential for the event occurring.

Abstract: A method for creating generated formatted data, that includes receiving, by a sequential data generator, raw data, where the raw data includes formation data at a drilling environment, processing the raw data to obtain generated recommendation data, where the generated recommendation data includes a proposed drilling location, and creating the generated formatted data, where the generated formatted data includes the generated recommendation data.