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.

Abstract: An aerosol delivery system that includes an aerosol generator that aerosolizes a fluid for delivery to a patient as a patient inhales. The aerosol delivery system includes a pump coupled to the aerosol generator that pumps the fluid to the aerosol generator, and a breath sensor that emits a signal as the patient breathes. A controller couples to the aerosol generator, the pump, and the breath sensor. In operation, the controller receives the signal from the breath sensor, controls a flow of fluid to the aerosol generator in response to the signal, and controls the aerosol generator to start aerosolizing the fluid before the patient inhales.