Abstract: A wellhead includes a wellhead housing, a hanger configured to support a casing, and multiple passages formed in or along the wellhead housing, through the hanger, external to the wellhead housing, or any combination thereof. The wellhead also includes at least one movable component configured to move relative to the multiple passages to selectively enable a flow of fluid via the multiple passages from an annular space defined between the wellhead housing and the hanger below the hanger to a portion of a bore within the wellhead housing above the hanger.

Abstract: A wellhead system includes a wellhead housing and a hanger configured to support a casing within the wellhead housing. The hanger includes one or more passages formed through the hanger. The wellhead system also includes a seal assembly configured to move relative to the hanger to selectively enable a flow of fluid across the hanger via the one or more passages. The hanger, the seal assembly, and a lock ring may be run together into the wellhead housing.

Abstract: A wellhead system includes a wellhead including a position sensor disposed in an inner surface of the wellhead, and a wellhead component to be installed in the wellhead, the wellhead component including a position indicator disposed in an outer surface of the wellhead component, wherein the position sensor is configured to transmit a position signal in response to the wellhead component entering into a predetermined aligned position in the wellhead.

Abstract: Provided is a method for relocating a solar power unit in response to a redeployment event. A first location of a deployed solar power unit may be determined. A processor may detect a redeployment event for the solar power unit at the first location. In response to the redeployment event, the processor may determine a new location for the solar power unit. The method may further comprise relocating the solar power unit to the new location.

Abstract: A wellhead system includes a wellhead including a position sensor disposed in an inner surface of the wellhead, and a wellhead component to be installed in the wellhead, the wellhead component including a position indicator disposed in an outer surface of the wellhead component, wherein the position sensor is configured to transmit a position signal in response to the wellhead component entering into a predetermined aligned position in the wellhead.

Abstract: Provided is a method for deploying multiple solar power units to a location. The method comprises determining a location to which a solar power unit is deploying. The method further comprises determining that a second solar power unit is deploying to a same location as the solar power unit. A redeployment plan for the second solar power unit is generated. The redeployment plan is provided to the second solar power unit. The method further comprising deploying the solar power unit to the location.

Abstract: Provided is a method for relocating a solar power unit in response to a redeployment event. A first location of a deployed solar power unit may be determined. A processor may detect a redeployment event for the solar power unit at the first location. In response to the redeployment event, the processor may determine a new location for the solar power unit. The method may further comprise relocating the solar power unit to the new location.

Abstract: Provided is a method for deploying multiple solar power units to a location. The method comprises determining a location to which a solar power unit is deploying. The method further comprises determining that a second solar power unit is deploying to a same location as the solar power unit. A redeployment plan for the second solar power unit is generated. The redeployment plan is provided to the second solar power unit. The method further comprising deploying the solar power unit to the location.

Abstract: A wellhead system includes a wellhead including a position sensor disposed in an inner surface of the wellhead, and a wellhead component to be installed in the wellhead, the wellhead component including a position indicator disposed in an outer surface of the wellhead component, wherein the position sensor is configured to transmit a position signal in response to the wellhead component entering into a predetermined aligned position in the wellhead.

Abstract: An approach is provided for using a machine learning model to reduce food waste. Estimation models for food items are created by using a machine learning model. The estimation models have prediction functions specifying timelines during which the food items are not spoiled and are in a condition for consumption. Prediction function solutions are generated for a food item inventory to indicate menu items for respective time periods. Each menu item includes food item(s) which are in condition for consumption based on the estimation models. Menu recommendations corresponding to the time periods are generated. Each menu includes menu item(s) indicated by the prediction function solutions. The menu recommendations reduce a waste of the food items through spoilage by increasing a likelihood of consumption of the food items within the respective timelines.

Abstract: A wellhead system includes a wellhead including a position sensor disposed in an inner surface of the wellhead, and a wellhead component to be installed in the wellhead, the wellhead component including a position indicator disposed in an outer surface of the wellhead component, wherein the position sensor is configured to transmit a position signal in response to the wellhead component entering into a predetermined aligned position in the wellhead.

Abstract: Provided is a method for relocating a solar power unit in response to a redeployment event. A first location of a deployed solar power unit may be determined. A processor may detect a redeployment event for the solar power unit at the first location. In response to the redeployment event, the processor may determine a new location for the solar power unit. The method may further comprise relocating the solar power unit to the new location.

Abstract: Provided is a method for deploying multiple solar power units to a location. The method comprises determining a location to which a solar power unit is deploying. The method further comprises determining that a second solar power unit is deploying to a same location as the solar power unit. A redeployment plan for the second solar power unit is generated. The redeployment plan is provided to the second solar power unit. The method further comprising deploying the solar power unit to the location.

Abstract: Provided is a method for deploying multiple solar power units to a location. The method comprises determining a location to which a solar power unit is deploying. The method further comprises determining that a second solar power unit is deploying to a same location as the solar power unit. A redeployment plan for the second solar power unit is generated. The redeployment plan is provided to the second solar power unit. The method further comprising deploying the solar power unit to the location.

Abstract: Provided is a method for relocating a solar power unit in response to a redeployment event. A first location of a deployed solar power unit may be determined. A processor may detect a redeployment event for the solar power unit at the first location. In response to the redeployment event, the processor may determine a new location for the solar power unit. The method may further comprise relocating the solar power unit to the new location.

Abstract: A wellhead system includes a wellhead including a position sensor disposed in an inner surface of the wellhead, and a wellhead component to be installed in the wellhead, the wellhead component including a position indicator disposed in an outer surface of the wellhead component, wherein the position sensor is configured to transmit a position signal in response to the wellhead component entering into a predetermined aligned position in the wellhead.

Abstract: An approach is provided for using a machine learning model to reduce food waste. Estimation models for food items are created by using a machine learning model. The estimation models have prediction functions specifying timelines during which the food items are not spoiled and are in a condition for consumption. Prediction function solutions are generated for a food item inventory to indicate menu items for respective time periods. Each menu item includes food item(s) which are in condition for consumption based on the estimation models. Menu recommendations corresponding to the time periods are generated. Each menu includes menu item(s) indicated by the prediction function solutions. The menu recommendations reduce a waste of the food items through spoilage by increasing a likelihood of consumption of the food items within the respective timelines.

Abstract: A wellhead system includes a wellhead including a position sensor disposed in an inner surface of the wellhead, and a wellhead component to be installed in the wellhead, the wellhead component including a position indicator disposed in an outer surface of the wellhead component, wherein the position sensor is configured to transmit a position signal in response to the wellhead component entering into a predetermined aligned position in the wellhead.

Abstract: A wellhead hanger system that allows the use of either of two casing hangers depending upon whether the casing string to be suspended becomes stuck during installation and cannot be lowered to its expected depth is disclosed. A full bore test plug for use with the system is disclosed also.

Abstract: A running tool delivers a string through a wellhead in the same trip as a hanger with a seal and locking assembly. The string is secured downhole and the running tool is manipulated to release a lock to hold the hanger in a sealed position in the wellhead prior to a tensile force being applied. A ratchet assembly permits the string to stretch and the tensile force is then locked in. The running tool is rotated out of the string and the tree is installed on the wellhead for subsequent procedures or production.