A system and method for performing a test procedure on a system under test are provided. An actuation unit operatively coupled to the system under test is configured to perform at least one operation thereon. A visual recognition unit is configured to capture at least one image of the system under test in real-time. A test unit remotely interfaced with the system under test is configured to perform the test procedure. Using the test unit, the test procedure is retrieved from the memory, at least one control signal is output to the actuation unit for causing the at least one operation to be performed in real-time for testing the system under test in accordance with the one or more test instructions, and the at least one image of the system under test is monitored as the at least one operation is performed for validating the test procedure in real-time.

A method and apparatus for generating an image of a subsurface region including obtaining geophysical data/properties for the subsurface region; resampling the geophysical data/properties to generate a resampled data set; iteratively (a) inverting the resampled data set with an initial prior model to generate a new model; and (b) updating the new model based on learned information to generate an updated prior model; substituting the initial prior model in each iteration with the updated prior model from an immediately-preceding iteration; and determining an end point for the iteration. A final updated model may thereby be obtained, which may be used in managing hydrocarbons. Inversion may be based upon linear physics for the first one or more iterations, while subsequent iterations may be based upon non-linear physics.

An electromagnetic (EM) sensor includes a front end module generating an EM signal using electromagnetic waves transmitted from an external source, a sensor memory storing a portion of a plurality of machine learning models used to recognize the EM signal, and a microcontroller unit for recognizing the external electronic device emitting the electromagnetic waves by inputting feature values extracted from the EM signal to the machine learning models. If the machine learning models stored in the sensor memory are not able to recognize the external device, the feature values may be transmitted to a main processor, and the main processor may compare the feature values to another set of machine learning models.

A multivariate analysis may be used to correlate seismic attributes for a subterranean formation with petrophysical properties of the subterranean formation and/or microseismic data associated with treating, creating, and/or extending a fracture network of the subterranean formation. For example, a method may involve modeling petrophysical properties of a subterranean formation, microseismic data associated with treating a complex fracture network in the subterranean formation, or a combination thereof with a mathematical model based on measured data, microseismic data, completion and treatment data, or a combination thereof to produce a petrophysical property map, a microseismic data map, or a combination thereof; and correlating a seismic attribute map with the petrophysical property map, the microseismic data map, or the combination thereof using the mathematical model to produce at least one quantified correlation, wherein the seismic attribute map is a seismic attributed modeled for the complex fracture network.

The present disclosure involves processes for assessing and modifying pavement surfaces using a mobile platform. An emitter associated with the mobile platform generates electromagnetic waves directed towards a portion of a pavement surface. A condition sensor associated with the mobile platform receives electromagnetic radiation from a first portion of the pavement surface and generates a first electronic signal representative of a current condition of the portion of the pavement surface. A location sensor generates a second electronic signal containing location data corresponding to the first portion of the pavement surface. A computing platform is used to process the electronic signals and create a current pavement condition data point. The computing platform may compare the first electronic signal against a reference representative of a target condition of the portion of the pavement surface, determine if there is a condition variance, and determine whether any condition variance exceeds a predetermined threshold. If a condition variance exceeds a predetermined threshold, the computing platform may generate a condition control signal which is transmitted to a pavement surface modification system, and which operates to modify operation of the pavement surface modification system in order to reduce the condition variance.

A mobile platform for assessing and modifying pavement surfaces. An emitter generates electromagnetic waves towards a portion of a pavement surface. A condition sensor receives electromagnetic radiation from a first portion of the pavement surface and generates a first electronic signal representative of a current condition of the portion of the pavement surface. A location sensor generates a second electronic signal containing location data corresponding to the first portion of the pavement surface. A computing platform processes the electronic signals and creates a current pavement condition data point. The computing platform may compare the first electronic signal against a reference representative of a target condition, determine if there is a condition variance, and, if a condition variance exceeds a predetermined threshold, generate a condition control signal which is transmitted to and operates to modify operation of the pavement surface modification system in order to reduce the condition variance.

A disclosed downhole drilling system may include a drill bit electrically coupled to a pulse-generating circuit to generate electrical arcs between first and second electrodes during pulsed drilling operations, a sensor to record responses to electromagnetic or acoustic waves produced by the electrical arcs, and a sensor analysis system. The electrical arcs occur at different azimuthal locations between the electrodes. The sensor analysis system may obtain a plurality of measurements representing first responses recorded by the sensor during a pulsed drilling operation, generate a model of a source of the electrical arcs based on the measurements, obtain an additional measurement representing a second response recorded by the sensor during the operation, and determine a characteristic of a formation near the drill bit using an inversion based on the model and the additional measurement. The determined characteristic may be used to determine dip parameters or construct images of the formation.

The present aspects provide a tracking and spatial location system of magnetic sensors applied in extraction and transport processes in open pit mines or underground mines, allowing spatially locating one or more sensors that transmit magnetic signals through of one or more collectors that perform a reading and processing of these signals. The present aspects also to provide a tracking and location method that makes use of the magnetic sensors tracking and spatial location system, comprising the necessary steps to perform the tracking and determine the location of the sensors.

The present disclosure describes methods and systems for downhole well integrity reconstruction in a hydrocarbon reservoir. One method for downhole well integrity reconstruction in a hydrocarbon reservoir includes: positioning, a laser head at a first subterranean location, wherein the laser head is attached to a tubular inside of a wellbore; directing, by the laser head, a laser beam towards a leak on the wellbore; and sealing the leak using the laser beam.

A method includes receiving well log data for a plurality of wells. A flag is generated based at least partially on the well log data. The wells are sorted into groups based at least partially on the well log data, the flag, or both. A model is built for each of the wells based at least partially on the well log data, the flag, and the groups.