Abstract: The present approach relates to providing image quality feedback to personnel (e.g., a technician) acquiring non-invasive images in real-time or near real-time. By way of example, the proposed approach may automatically assess the quality of images in real-time by evaluating the images for the presence or absence of non-conformities using processor-implemented, rule-based algorithms running partly or completely in parallel to one another. The proposed approach improves the image analysis pipeline by efficiently providing notification of and/or discarding low-quality or unsuitable images or exams after they are taken, such as in within seconds or minutes.

Abstract: A system for monitoring a position of a pipe joint as the pipe joint moves through a production system along a longitudinal axis of a wellbore of the production system includes an ultrasonic sensor configured to detect the pipe joint. The system also includes a controller configured to receive a signal from the ultrasonic sensor. The controller includes a processor configured to determine a first position of the pipe joint along the longitudinal axis at a first time based on the signal. The processor is further configured to determine a displacement from the first position of the pipe joint, and to determine a second position of the pipe joint along the longitudinal axis at a second time based on the displacement. The controller also includes a memory configured to store the first position and the second position.

Abstract: The present approach relates to providing image quality feedback to personnel (e.g., a technician) acquiring non-invasive images in real-time or near real-time. By way of example, the proposed approach may automatically assess the quality of images in real-time by evaluating the images for the presence or absence of non-conformities using processor-implemented, rule-based algorithms running partly or completely in parallel to one another. The proposed approach improves the image analysis pipeline by efficiently providing notification of and/or discarding low-quality or unsuitable images or exams after they are taken, such as in within seconds or minutes.

Abstract: Embodiments described herein provide an image analytics platform that follows a microservice-based architecture. The platform provides a set of algorithms implemented as microservices to design knowledge-based models. The image analytics platform is deployed in the cloud for management and storage of images. In order to facilitate the design, composition and integration of the algorithms, a web application facilitates design of the knowledge models by the use of directed graphs. The web application allows physicians to design specific knowledge models and share with others; developers can easily add and test new image processing algorithms; and physicians can design and test different algorithms and evaluate selected results in a more efficient way.