Abstract: The disclosure presents processes to determine one or more recommendations to well construction operations, generated by analyzing impacts on well construction operations. The impacts can include impacts to the drilling assembly, impacts of the subterranean formation characteristics, impacts on cost, time and performance of the well construction operation, impacts on the service quality, impacts to system integrity, impacts to surface equipment, as well as other impact types, such as geological surveys, seismic surveys, stratigraphic analysis, or reservoir estimations. Each impact can be analyzed using an impact parameter and a softness parameter. An impact map can be computed for each of the parameters, and then the impact maps can be combined to compute one or more integrated impact maps from which the recommendations can be determined. The recommendations can be communicated to a well construction system, such as a geo-steering system, a user system, a well site controller, or other systems.

Abstract: A video clip showing a wellsite activity can be extracted from a video and then labeled for use in training a machine-learning model in some examples described herein. In one such example, a system can train a model with a set of training data to identify an object and a corresponding spatial location of the object in each image frame in a video depicting a wellsite activity. The system can analyze image frames in the video using the trained model to identify a target image frame in which the object is present in a predefined spatial area thereof, where the predefined spatial area is associated with the wellsite activity. The system can then generate a video clip that includes only a subpart of the video based on the target image frame, where the subpart includes a series of consecutive image frames containing the target image frame.

Abstract: Some embodiments are related to a system for estimating a harvest volume in a vineyard operation organized into rows of vine stocks, including: a photographic device for capturing a photographic image of a set of stocks when the system passes between two rows of the vineyard operation; a device for measuring a distance between the vine stocks and the photographic device; and a calculator for detecting the berries within the photographic image, determining a number of berries in a bunch, determining a number of bunches on a stock, and determining an indicator of the volume depending on the number of berries in a bunch, the number of bunches on a stock and the diameter of the berries determined from the photographic image and the distance measurement.

Abstract: Some embodiments are related to a system for estimating a harvest volume in a vineyard operation organized into rows of vine stocks, including: a photographic device for capturing a photographic image of a set of stocks when the system passes between two rows of the vineyard operation; a device for measuring a distance between the vine stocks and the photographic device; and a calculator for detecting the berries within the photographic image, determining a number of berries in a bunch, determining a number of bunches on a stock, and determining an indicator of the volume depending on the number of berries in a bunch, the number of bunches on a stock and the diameter of the berries determined from the photographic image and the distance measurement.