Abstract: A system includes a container unit and a processor. The container unit includes a first fluid pathway having an inlet configured to couple to a first component of a drilling fluid circulation system, and having an outlet configured to couple to a second component of the drilling fluid circulation system. The container unit also includes a second fluid pathway having an inlet configured to couple to a third component of the drilling fluid circulation system, and having an outlet configured to couple to the third component. The container unit includes a first sensor coupled to the first fluid pathway and a second sensor coupled to the second fluid pathway. The processor is configured to determine a drilling fluid profile based on data from the sensors, and compare the determined drilling fluid profile to a target drilling fluid profile to determine an adjustment for an actual drilling fluid profile.

Abstract: A system includes a container unit and a processor. The container unit includes a first fluid pathway having an inlet configured to couple to a first component of a drilling fluid circulation system, and having an outlet configured to couple to a second component of the drilling fluid circulation system. The container unit also includes a second fluid pathway having an inlet configured to couple to a third component of the drilling fluid circulation system, and having an outlet configured to couple to the third component. The container unit includes a first sensor coupled to the first fluid pathway and a second sensor coupled to the second fluid pathway. The processor is configured to determine a drilling fluid profile based on data from the sensors, and compare the determined drilling fluid profile to a target drilling fluid profile to determine an adjustment for an actual drilling fluid profile.

Abstract: Methods, systems, and devices for image processing are described. A device may determine a split-screen condition associated with a video image and perform an additional analysis to confirm the split-screen condition. In some examples, the device may generate a truncated image composed of one or more pixels located at each corner of a first image (e.g., a displayed image), and the device may process the truncated image to determine whether a split-screen condition is present for the displayed image. The device may use a continuality analysis, in which the device determines pixel values associated with multiple rows (or columns, or both) of a video image and compares differences between the pixel values at opposite ends of a video image to a threshold, to determine whether a split-screen condition is present. The device may then confirm a split-screen condition by processing the video image using an edge detection filter.