Abstract: A wave energy capture system can include a plurality of arm assemblies. Each arm assembly includes a floatation device and an arm that is coupled to the floatation device and to a body via a pivot. The arm assemblies independently pivot around the pivots with respect to the body in response to movement of the floatation devices caused by waves in water. A mechanical energy capture system converts the independent pivoting of the plurality of arm assemblies around the pivots to electrical energy and provides the electrical energy to either an electronic device that is electrically coupled to the mechanical energy capture system to power the electronic device, or to a battery to recharge the battery.

Abstract: Disclosed in certain embodiments are processes for heavy hydrocarbon removal that implement a regeneration loop to reduce an amount of liquid hydrocarbons exposed by the separator to the regeneration stream over one or more durations for which an average C5+ hydrocarbon content of the regeneration stream is reduced or minimal.

Abstract: A wave energy capture system deployed in water converts mechanical motion induced by waves in the water to electrical energy. A controller of the wave energy capture system receives input regarding real-time wave conditions in a vicinity of the wave energy capture system. The controller applies a control model to the received input to select a value of a control parameter for the wave energy capture system, where the control model includes a model that has been trained using machine learning to take wave condition data as input and to output control parameter values selected based on the wave condition data in order to increase an amount of energy captured by the wave energy capture system. The controller implements the selected value of the control parameter on the wave energy capture system.

Abstract: Disclosed in certain embodiments are processes for heavy hydrocarbon removal that implement a regeneration loop that introduces an absorbent into a regeneration gas stream, and systems for implementing the same.

Abstract: Disclosed in certain embodiments are methods of removing water, mercaptans, C5+ or C6+ hydrocarbons, or any combination thereof from a gas feed stream during an adsorption step of an adsorption cycle.

Abstract: Disclosed in certain embodiments are processes for heavy hydrocarbon removal that implement a regeneration loop to reduce an amount of liquid hydrocarbons exposed by the separator to the regeneration stream over one or more durations for which an average C5+ hydrocarbon content of the regeneration stream is reduced or minimal.

Abstract: An improved system and method of selectively transmitting asset data from one or more sensors associated with the vehicle to a backend server, which is configured to analyze the asset data and, if necessary for further analysis of the asset data (e.g., to determine whether a safety event has occurred) and/or to provide actionable data for review by a safety analyst, requests further asset data from a vehicle device.

Abstract: Disclosed in certain embodiments are methods of removing water from a gas feed stream comprising mercaptans and water during an adsorption step of an adsorption cycle.

Abstract: A vehicle dash cam may be configured to execute one or more neural networks (and/or other artificial intelligence), such as based on input from one or more of the cameras and/or other sensors associated with the dash cam, to intelligently detect safety events in real-time. Detection of a safety event may trigger an in-cab alert to make the driver aware of the safety risk. The dash cam may include logic for determining which asset data to transmit to a backend server in response to detection of a safety event, as well as which asset data to transmit to the backend server in response to analysis of sensor data that did not trigger a safety event. The asset data transmitted to the backend server may be further analyzed to determine if further alerts should be provided to the driver and/or to a safety manager.

Abstract: An improved system and method of selectively transmitting asset data from one or more sensors associated with the vehicle to a backend server, which is configured to analyze the asset data and, if necessary for further analysis of the asset data (e.g., to determine whether a safety event has occurred) and/or to provide actionable data for review by a safety analyst, requests further asset data from a vehicle device.

Abstract: Disclosed in certain embodiments are methods of removing water from a gas feed stream comprising hydrocarbons and water during an adsorption step of an adsorption cycle.

Abstract: A vehicle dash cam may be configured to execute one or more neural networks (and/or other artificial intelligence), such as based on input from one or more of the cameras and/or other sensors associated with the dash cam, to intelligently detect safety events in real-time. Detection of a safety event may trigger an in-cab alert to make the driver aware of the safety risk. The dash cam may include logic for determining which asset data to transmit to a backend server in response to detection of a safety event, as well as which asset data to transmit to the backend server in response to analysis of sensor data that did not trigger a safety event. The asset data transmitted to the backend server may be further analyzed to determine if further alerts should be provided to the driver and/or to a safety manager.

Abstract: An improved system and method of selectively transmitting asset data from one or more sensors associated with the vehicle to a backend server, which is configured to analyze the asset data and, if necessary for further analysis of the asset data (e.g., to determine whether a safety event has occurred) and/or to provide actionable data for review by a safety analyst, requests further asset data from a vehicle device.

Abstract: Disclosed in certain embodiments are methods of removing water from a gas feed stream comprising hydrocarbons and water during an adsorption step of an adsorption cycle.

Abstract: An ethane recovery process resulting in a reduction in the amount of carbon dioxide in the recovered NGL stream is provided. To reduce the amount of carbon dioxide, a fractionation tower is provided with a bottom reboiler, and possibly one or more side reboilers higher up in the tower that are integrated with the cooling train. The process disclosed modifies the flow of cold liquid from the separator and tower reboiling to reject some of the more volatile components such as carbon dioxide from the less volatile fraction while maintaining recovery of desirable components such as C2+ hydrocarbon components. The modification includes heating a part of the separator liquid and introducing it at least one stage below the remaining liquid.