Methods of managing aggregate inventory. The methods include utilizing a dynamic protocol for an oilfield operation with aggregate from chambers of a multi-silo system wherein each chamber accommodates a single aggregate type throughout operations. However, the chambers also have a dynamic classification as either active, idle or reserved depending on the stage of operations. Once more, even though each silo may accommodate multiple chambers, unique techniques may be utilized to obtain real-time inventory information for each chamber via weight measurement of entire silos.

In various embodiments, methods, systems, and vehicle apparatuses are provided. In one exemplary embodiment, a method is provided that includes obtaining a set of inputs, by a processor, pertaining to one or more features that are used to predict the purge flow of a purge canister system of an intake system of a vehicle; obtaining data, by the processor, from sensors about the vehicle's intake system for use by a neural network to enable the processor to classify the set of inputs including the one or more features for purge flow control for use in predicting a presence of purge content in the vehicle's intake system; and obtaining, by the processor, an output from the neural network wherein the output is configured as a binary or continuous output to instruct a vehicle controller to execute an action to fueling control by letting fueling controller choose different gain sets and adaption strategy based on the binary output flag in a case of the binary-output model, or apply an adjustment factor to fueling command in case of a continuous model.

Systems and methods to provide low carbon intensity (CI) transportation fuels through one or more targeted reductions of carbon emissions based upon an analysis of carbon emissions associated with a combination of various options for feedstock procurement, feedstock refining, processing, or transformation, and fuel product distribution pathways to end users. Such options are selected to maintain the total CI (carbon emissions per unit energy) of the transportation fuel below a pre-selected threshold that defines an upper limit of CI for the transportation fuel.

A system that includes a fuel dispenser terminal and a remote controller. The fuel dispenser terminal is configured to send a service request for a fuel purchase to the remote controller and receive a personalized offer in response to sending the service request. The fuel dispenser terminal is further configured to display the personalized offer, receive a user response indicating the personalized offer was accepted, and send the user response to the remote controller. The fuel dispenser terminal is further configured to receive an authorization token for retrieving the personalized offer and output the authorization token to the customer. The remote controller is configured to update the service request by adding a purchase associated with the personized offer to the fuel purchase, send an encrypted service request to a service processor, generate the authorization token, and send the authorization token to the fuel dispenser terminal.

A system that includes a fuel dispenser terminal and a remote controller. The fuel dispenser terminal is configured to send a service request for a fuel purchase to the remote controller and receive a personalized offer in response to sending the service request. The fuel dispenser terminal is further configured to display the personalized offer, receive a user response indicating the personalized offer was accepted, and send the user response to the remote controller. The fuel dispenser terminal is further configured to receive an authorization token for retrieving the personalized offer and output the authorization token to the customer. The remote controller is configured to update the service request by adding a purchase associated with the personized offer to the fuel purchase, send an encrypted service request to a service processor, generate the authorization token, and send the authorization token to the fuel dispenser terminal.

In various embodiments, methods, systems, and vehicle apparatuses are provided. In one exemplary embodiment, a method is provided that includes obtaining a set of inputs, by a processor, pertaining to one or more features that are used to predict the purge flow of a purge canister system of an intake system of a vehicle; obtaining data, by the processor, from sensors about the vehicle's intake system for use by a neural network to enable the processor to classify the set of inputs including the one or more features for purge flow control for use in predicting a presence of purge content in the vehicle's intake system; and obtaining, by the processor, an output from the neural network wherein the output is configured as a binary or continuous output to instruct a vehicle controller to execute an action to fueling control by letting fueling controller choose different gain sets and adaption strategy based on the binary output flag in a case of the binary-output model, or apply an adjustment factor to fueling command in case of a continuous model.

A system that includes a fuel dispenser terminal and a remote controller. The fuel dispenser terminal is configured to send a service request for a fuel purchase to the remote controller and receive a personalized offer in response to sending the service request. The fuel dispenser terminal is further configured to display the personalized offer, receive a user response indicating the personalized offer was accepted, and send the user response to the remote controller. The fuel dispenser terminal is further configured to receive an authorization token for retrieving the personalized offer and output the authorization token to the customer. The remote controller is configured to update the service request by adding a purchase associated with the personized offer to the fuel purchase, send an encrypted service request to a service processor, generate the authorization token, and send the authorization token to the fuel dispenser terminal.

Systems and methods to provide low carbon intensity (CI) transportation fuels through one or more targeted reductions of carbon emissions based upon an analysis of carbon emissions associated with a combination of various options for feedstock procurement, feedstock refining, processing, or transformation, and fuel product distribution pathways to end users. Such options are selected to maintain the total CI (carbon emissions per unit energy) of the transportation fuel below a pre-selected threshold that defines an upper limit of CI for the transportation fuel.

Systems and methods to provide low carbon intensity (CI) ethanol through one or more targeted reductions of carbon emissions based upon an analysis of carbon emissions associated with a combination of various options for feedstock procurement, feedstock refining, processing, or transformation, and ethanol distribution pathways to end users. Such options are selected to maintain the total CI (carbon emissions per unit energy) of the ethanol below a pre-selected threshold that defines an upper limit of CI for the ethanol.

Systems and methods to provide low carbon intensity (CI) hydrogen through one or more targeted reductions of carbon emissions based upon an analysis of carbon emissions associated with a combination of various options for feedstock procurement, feedstock refining, processing, or transformation, and hydrogen distribution pathways to end users. Such options are selected to maintain the total CI (carbon emissions per unit energy) of the hydrogen below a pre-selected threshold that defines an upper limit of CI for the hydrogen.