Abstract: A method for automatically diagnosing a part of a rotating machine based on a time signal generated by the rotating machine, includes constructing a diagram from the signal, including the following procedures: splitting the signal into a plurality of sub-signals; for each sub-signal, calculating the Fourier transform of the sub-signal to obtain a vibratory energy per frequency; constructing the diagram, the diagram being a matrix having rows each corresponding to a speed of rotation of the rotating machine, and columns each corresponding to a frequency of the Fourier transform divided by a speed of rotation of the rotating machine, the matrix including, for each row and each column, the corresponding vibratory energy; supervised training of an artificial neural network to provide, from a diagram, an operating class included in a set of operating classes including at least one nominal operating class and one defective operating class, using the trained network.

Abstract: Integrated dynamic impact or risk maps can be generated using borehole operation parameters, with associated impact parameters (representing a severity of an event) and softness parameters (representing a range or a percentage of the impact while not exceeding a critical threshold or an impact transition mechanism). As borehole operations are in progress, factors change over time, such as a change in depth, a change in temperature, a change in drilling fluid composition, the number of rotations, and other drilling and environmental factors. As these factors change, the associated impact and softness parameters can be dynamically updated with the current information. The resulting generation of dynamic impact or risk maps using this information is therefore updated to represent the most current conditions. The dynamic impact or risk maps can be utilized to determine modifications to borehole operations to reduce risk, costs, maintenance downtime, and improve return on investment of the borehole.

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: The present invention provides novel binding compounds and therapeutic applications thereof.

Abstract: A method for monitoring an epicyclic gear train of an aircraft includes the following steps: acquiring, at a predetermined sampling frequency, first values (5(ti)) of a signal formed by a progressive mechanical wave generated in the epicyclic gear train; measuring, at a plurality of successive instants, values (Vmes _r(tj)) of a speed of rotation of at least one of the toothed wheels of the gear train; calculating values (Vc(tj)) of a speed of rotation of a point of contact between two toothed wheels of the epicyclic gear train; determining second values (S(ç½)) of the signal formed by a progressive mechanical wave generated in the epicyclic gear train, the second values being sampled depending on a phase of the point of contact and forming secondary mechanical wave data; and using the secondary mechanical wave data (S(ç½)) to detect an anomaly related to the operation of the epicyclic gear train.

Abstract: The disclosed embodiments include systems and methods to determine the steering of a bit. The method includes receiving input parameters associated with a model of a bottomhole assembly having a housing and a shaft that runs through an interior of the housing. The method also includes analyzing the housing as a first beam, and analyzing the shaft as a second beam that is nested within the first beam. The method further includes estimating a force and moment at a contact point between the shaft and the housing, determining a housing deflection based on the force and the moment, determining a shaft deflection at the contact point, and determining whether the shaft deflection is within a threshold of the housing deflection. In response to a determination that the shaft deflection is within the threshold of the housing deflection, the method further includes providing an output indicative of steering of a bit.

Abstract: Methods and compositions for estimating one or more downhole qualities of a drilling apparatus by obtaining axial acceleration data. The axial acceleration data may be acquired by measuring an axial acceleration of a bottom hole assembly. The axial acceleration may then be used to estimate one or more of a downward weight on a drill bit of the drilling apparatus or a rate of penetration of the drill bit.

Abstract: A method for forming a model of a bottom hole assembly (BHA) in a borehole, wherein the BHA is connected to a drill string. The method may further comprise segmenting the model into one or more segments and solving a multipoint boundary value problem (BVP) based at least in part on the one or more segments.

Abstract: The present invention provides novel binding compounds and therapeutic applications thereof.

Abstract: A method for forming a model of a bottom hole assembly (BHA) in a borehole, wherein the BHA is connected to a drill string. The method may further comprise segmenting the model into one or more segments and solving a multipoint boundary value problem (BVP) based at least in part on the one or more segments.

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: Methods and compositions for estimating one or more downhole qualities of a drilling apparatus by obtaining axial acceleration data. The axial acceleration data may be acquired by measuring an axial acceleration of a bottom hole assembly. The axial acceleration may then be used to estimate one or more of a downward weight on a drill bit of the drilling apparatus or a rate of penetration of the drill bit.

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: The disclosure provides for a method for identifying a mud motor drilling mode. The method comprises accessing historical run information stored in a memory of a controller and determining drilling measurements based on the historical run information. The method further comprises training at least one initial model with a machine learning method using the determined drilling measurements, wherein the at least one initial model comprises one or more inputs selected from a group consisting of revolutions per minute, tool-face, torque, flowrate, weight on bit, rate of penetration, differential pressure, a derivative thereof, and any combination thereof. The method further comprises utilizing the trained at least one initial model to determine the mud motor drilling mode for a mud motor.

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 method for monitoring an epicyclic gear train of an aircraft includes the following steps: acquiring, at a predetermined sampling frequency, first values (5(ti)) of a signal formed by a progressive mechanical wave generated in the epicyclic gear train; measuring, at a plurality of successive instants, values (Vmes_r(tj)) of a speed of rotation of at least one of the toothed wheels of the gear train; calculating values (Vc(tj)) of a speed of rotation of a point of contact between two toothed wheels of the epicyclic gear train; determining second values (S(ç½)) of the signal formed by a progressive mechanical wave generated in the epicyclic gear train, the second values being sampled depending on a phase of the point of contact and forming secondary mechanical wave data; and using the secondary mechanical wave data (S(ç½)) to detect an anomaly related to the operation of the epicyclic gear train.

Abstract: Techniques for estimating a current inclination and azimuth of a drill bit of a wellbore drilling system are described. The estimates for the current inclination and azimuth are generated using measurements obtained for one or more parameters associated with the drilling process performed by the drill bit and taken over a range of the wellbore falling within a sliding window having a predefined distance D extending along the wellbore.

Abstract: The present invention provides novel binding compounds and therapeutic applications thereof.