Abstract: The system, in one aspect, includes a first bulk storage container for holding a first bulk dry flowable material having a first dispensing assembly coupled with a first outlet, and a second bulk storage container for holding a second bulk dry flowable material having a second dispensing assembly coupled with the second outlet. The system, in one aspect, may further include a mixed storage vessel, as well as a controller in communication with the first dispensing assembly and the second dispensing assembly, the controller programmed to cause the first dispensing assembly to discharge the first amount of the first dry flowable material to the mixed storage vessel and cause the second dispensing assembly to discharge the second amount of the second dry flowable material to the mixed storage vessel over a comparable time period based upon weight based readings the controller receives from first and second load cells.

Abstract: A computer implemented method of predicting a future maintenance event of a pumping equipment on a wellbore pumping unit comprising loading a pump usage log and a pump maintenance log into a predictive maintenance model. The predictive maintenance model is trained by a machine learning process with a historical database of completed pumping jobs. The predictive maintenance model determines a probability of a future maintenance event in response to the current pump usage. The unit controller displays an alert of the remaining pump life in comparison to a threshold value for a recommended pump maintenance period or a required pump maintenance period.

Abstract: A computer implemented method of predicting a future maintenance event of a pumping equipment on a wellbore pumping unit comprising loading a pump usage log and a pump maintenance log into a predictive maintenance model. The predictive maintenance model is trained by a machine learning process with a historical database of completed pumping jobs. The predictive maintenance model determines a probability of a future maintenance event in response to the current pump usage. The unit controller displays an alert of the remaining pump life in comparison to a threshold value for a recommended pump maintenance period or a required pump maintenance period.

Abstract: A computer implemented method of predicting a future maintenance event of a pumping equipment on a wellbore pumping unit comprising loading a pump usage log and a pump maintenance log into a predictive maintenance model. The predictive maintenance model is trained by a machine learning process with a historical database of completed pumping jobs. The predictive maintenance model determines a probability of a future maintenance event in response to the current pump usage. The unit controller displays an alert of the remaining pump life in comparison to a threshold value for a recommended pump maintenance period or a required pump maintenance period.

Abstract: A method and apparatus are disclosed for a mixing system with a recirculation pump and a sensor configured to measure a property of a fluid discharged from the recirculation pump, wherein the sensor may transmit the property to a control system to allow an operator to adjust the mixing system in response to changes in the measurement signal.

Abstract: A method and apparatus are disclosed for a mixing system with a recirculation pump and a sensor configured to measure a property of a fluid discharged from the recirculation pump, wherein the sensor may transmit the property to a control system to allow an operator to adjust the mixing system in response to changes in the measurement signal.