Drilling systems and related methods are disclosed. A drilling system may include a drill bit positioned at an end of a drill string, and one or more sources and receivers positioned on the drill string behind the drill bit. The sources may be configured to emit signals into a medium surrounding a borehole in which the drill string extends, and the signals may cause a response in the medium at one or more predetermined positions ahead of the drill bit, and response signals may be measured by the one or more receivers. A processor may use the measured response signals to iteratively update an estimate of a property of the medium at the predetermined position, which in some embodiments, may be done using a sequential estimation process, as the drill string is advanced into the medium.

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 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 relates to detecting subterranean formations using electromagnetic depth sounding. A method for detecting formation properties may comprise of disposing a transmitter at a surface, disposing a receiver at the surface, coupling a high frequency wave to a low frequency wave to form an electromagnetic pulse, transmitting the electromagnetic pulse into a formation from the transmitter, receiving a reflected electromagnetic wave from the formation with the receiver, and determining the depth and nature of the formation from the surface. A formation measuring system may comprise a transmitter, wherein the transmitter is configured to couple a high frequency wave to a low frequency wave to form an electromagnetic pulse. The formation measuring system may further comprise at least one receiver, a data acquisition system, and an analysis unit.

Systems, methods, and computer programs for monitoring production of fluids from a subterranean formation includes receiving, from a first sensor array at a first time, a first set of electromagnetic signals generated by an electroseismic or seismoelectric conversion of seismic signals caused, at least in part, by the production of fluid from the subterranean formation; receiving, from the first sensor array at a second time, a second set of electromagnetic signals generated by an electroseismic or seismoelectric conversion of seismic signals caused, at least in part, by the production of fluid from the subterranean formation; and determining one or more reservoir properties based, at least in part, on the first and second sets signals received from the first sensor array. The first sensor array are arranged to monitor the production operation.

Systems, methods, and computer programs for monitoring a drilling operation in a subterranean formation include receiving, from a first sensor array, one or more seismic signals caused, at least in part, by the drilling operation in the subterranean formation; receiving, from the first sensor array, one or more electromagnetic signals generated by an electroseismic or seismoelectric conversion of the one or more seismic signals caused, at least in part, by the drilling operation in the subterranean formation; and determining a property of one or more of the drillstring and the subterranean formation based, at least in part, on the seismic signals and the corresponding electromagnetic signals received from the first sensor array. The first sensor array is arranged to monitor the drilling operation.

A system for surveying a subsurface formation includes one or more electromagnetic sensors located at or above the surface of the Earth. The sensors are configured to detect passive-source source signals and return signals that are based on seismoelectric or electroseismic conversion of the source signal in the subsurface formation. The system includes a processor communicatively coupled to the one more electromagnetic sensors. The at least one processor is configured to align and stack the passive-source source signals and the return signals and determine a property of the subsurface formation based, at least in part, on the aligned and stacked passive-source source signals and the return signals.

The method for enhanced depth penetration of energy into a formation may include mechanically stimulating the formation at a first frequency to induce mechanical stress in the formation and directing electromagnetic radiation towards the formation while mechanically stimulating the formation.

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 of passive surveying comprises generating one or more detected signals by passively detecting a signal generated within a subsurface earth formation due to a seismoelectric response or an electroseismic response in at least one porous subsurface earth formation containing at least one fluid, and processing the one or more detected signals to determine at least one property of the subsurface earth formation.

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.