Abstract: Systems and methods for intelligent monitoring of a site may be useful for ascertaining the operational integrity of said site. Said systems and methods may use data fusion, neural features, and integrated reasoning to achieve the intelligent monitoring. For example a method may comprise: capturing a plurality of images over time from a site; transmitting the plurality of images to a hub; identifying at least one element in at least one of the plurality of images; querying at least one sensor and/or related sensor data for at least one attribute of the at least one element; tracking the at least one element to produce spatio-temporal attributes of the at least one element; ascertaining a state of the environment at the site; and applying an integrated reasoning model to the state of the environment to identify events that may occur and/or are occurring at the site that require operator intervention.

Abstract: A method of moving a string assembly within a wellbore is disclosed. In some embodiments, the method comprises moving the string assembly within the wellbore; obtaining surface data regarding at least one parameter associated with moving the string assembly within the wellbore over a range of depths; modeling the at least one parameter over the range of depths for a plurality of assumed friction factors to obtain modeled data for each assumed friction factor; calculating a derivative of the surface data over the range of depths; calculating a derivative of the modeled data over the range of depths; comparing the derivative of the surface data to the derivative of the modeled data; determining one or more local friction factors for the range of depths based on the comparison; and adjusting at least one string assembly operating parameter based on the one or more local friction factors.

Abstract: A method of moving a string assembly within a wellbore is disclosed. In some embodiments, the method comprises moving the string assembly within the wellbore; obtaining surface data regarding at least one parameter associated with moving the string assembly within the wellbore over a range of depths; modeling the at least one parameter over the range of depths for a plurality of assumed friction factors to obtain modeled data for each assumed friction factor; calculating a derivative of the surface data over the range of depths; calculating a derivative of the modeled data over the range of depths; comparing the derivative of the surface data to the derivative of the modeled data; determining one or more local friction factors for the range of depths based on the comparison; and adjusting at least one string assembly operating parameter based on the one or more local friction factors.