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: 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: Systems and methods to determine an activity associated with an object of interest are presented. The method includes receiving a sequence of a plurality of frames that capture an area of interest during a threshold period of time, wherein an object of interest is present in the area of interest during the threshold period of time. The method also includes analyzing the plurality of frames to detect the object of interest. The method also includes tracking the object of interest in the area of interest during the threshold period of time. The method also includes extracting data indicative of the object of interest. The method also includes predicting, based on the data indicative of the object of interest, an activity associated with the object of interest.

Abstract: Introduced herein are techniques that can create descriptive taxonomies of expected data streams and identify and associate each incoming data stream with the taxonomies automatically. The introduced techniques can significantly reduce the human intervention and efforts and hence the number of human errors in identifying and mapping signals. The introduced techniques can also automatically store values of the data streams and their corresponding taxonomies as facts and dimensions in a business intelligence (BI) data repository/warehouse. Doing so, the techniques create a BI data repository with various sets of logically nested dimensions and facts that can be used to analyze performances of various assets in petroleum service environment. Leveraging their similar hierarchical structures and elements, the techniques can expand and combine taxonomies and allow an end user to, not only analyze performances of assets in a specific rig, but across multiple rigs and projects, which were not possible before.

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: A plurality of input data to be used to compute a first output is received. The first output is computed. It is determined that the computed first output is outside a pre-determined first-output limit. A plurality of hyperlinks is displayed on a display device. Each hyperlink provides a link to a process for making adjustments to the plurality of input data to bring the first output within the pre-determined first-output limit. Selection of one of the plurality of hyperlinks (the “selected hyperlink”) is detected. A process associated with the selected hyperlink is followed to produce an adjustment to the plurality of input data to bring the first output within the first pre-determined first-output limit. The adjusted plurality of input data is used to plan implementation of a system. The sequence of selection of hyperlinks is tracked in order to reinforce the prioritization and order of future suggestions. The system is implemented.

Abstract: A data mining and analysis system which analyzes clusters of outlier data (i.e., rimliers) to detect and/or predict downhole events.

Abstract: An example method of providing a digital representation of a well schematic includes storing a set of text strings and a set of image regions into a coordinate map. The method includes associating one or more text strings with one or more image regions. A text string is associated with an image region based on a context of the text string in the coordinate map. The method further includes linking one or more image regions with a corresponding catalogued image stored in a component database. The catalogued image represents a well schematic component. The method also includes generating a well schematic topology in accordance with the coordinate map and the one or more catalogued images linked with the one or more image regions. The method further includes updating the well schematic topology in accordance with one or more business rules.

Abstract: Systems and methods for total asset modeling by updating a preexisting integrated asset model in the form of a unique type model during different stages of an asset lifecycle to identify and evaluate a new asset during the asset lifecycle.

Abstract: Systems and methods for total asset modeling by updating a preexisting integrated asset model in the form of a unique type model during different stages of an asset lifecycle to identify and evaluate a new asset during the asset lifecycle.

Abstract: A plurality of input data to be used to compute a first output is received. The first output is computed. It is determined that the computed first output is outside a pre-determined first-output limit. A plurality of hyperlinks is displayed on a display device. Each hyperlink provides a link to a process for making adjustments to the plurality of input data to bring the first output within the pre-determined first-output limit. Selection of one of the plurality of hyperlinks (the “selected hyperlink”) is detected. A process associated with the selected hyperlink is followed to produce an adjustment to the plurality of input data to bring the first output within the first pre-determined first-output limit. The adjusted plurality of input data is used to plan implementation of a system. The sequence of selection of hyperlinks is tracked in order to reinforce the prioritization and order of future suggestions. The system is implemented.

Abstract: A data mining and analysis system which analyzes clusters of outlier data (i.e., rimliers) to detect and/or predict downhole events.

Abstract: Systems and methods for optimal positioning of drilling pads for horizontal well field development considering the location and spacing of each horizontal well, boundaries and surface/subsurface hazards.

Abstract: Systems and methods for optimal positioning of drilling pads for horizontal well field development considering the location and spacing of each horizontal well, boundaries and surface/subsurface hazards.

Abstract: This disclosure relates to determining optimal parameters for a downhole operation. In a general aspect, a computer-implemented method for managing a downhole operation is described in this disclosure. The method includes receiving a continuous stream of real-time data associated with an ongoing downhole operation at a data ware house. In the meantime, a selection of a downhole parameter is received from a user. Then, with a computing system, the selected downhole parameter is optimized based on a portion of the received stream of data to approach a target value of the selected downhole parameter. The optimized downhole parameter can then be used in the ongoing operation.