The application discloses an AI real-time microseism monitoring node, which includes a processor and a data acquisition device, an AI calculation device, and a communication device connected to the processor, wherein the AI calculation device is provided with pre-trained microseism data analysis Device, and the processor is configured to perform the following operations: controlling the data acquisition equipment to acquire microseism data; turning on the AI calculation device to calculate the acquired microseism data by means of the microseism data analysis device to determine the valid event data associated with the microseism; and sending the valid event data to the remote data center through the communication device.

This disclosure presents a system, method, and apparatus for classifying fracture quantity and quality of fracturing operation activities during hydraulic fracturing operations, the system comprising: a sensor coupled to a fracking wellhead, circulating fluid line, or standpipe of a well and configured to convert acoustic vibrations infracking fluid in the fracking wellhead into an electrical signal; a memory configured to store the electrical signal; a converter configured to access the electrical signal from the memory and convert the electrical signal in a window of time into a current frequency domain spectrum; a machine-learning system configured to classify the current frequency domain spectrum, the machine-learning system having been trained on previous frequency domain spectra measured during previous hydraulic fracturing operations and previously classified by the machine-learning system; and a user interface configured to return a classification of the current frequency domain spectrum to an operator of the fracking wellhead.

A seismic warning system comprises: a plurality of sensors, each sensor sensitive to a physical phenomenon associated with seismic events and operative to output an electronic signal representative of the sensed physical phenomenon; a data acquisition unit communicatively coupled to receive the electronic signal from each of the plurality of sensors, the data acquisition unit comprising a processor configured to estimate characteristics of a seismic event based on the electronic signal associated with a P-wave from each of the plurality of sensors; and a local device communicatively coupled to the data acquisition unit.

An acquisition system is configured to acquire seismic data representing a subsurface formation during a fracking process. The system includes at least one acoustic sensor that is configured to obtain vibration data representing vibrations relating to three orthogonal directions relative to the at least one acoustic sensor. The system is configured to receive the vibration data from the at least one acoustic sensor, identify one or more resonance frequencies represented in the vibration data, determine, based on the identified one or more resonance frequencies, a stage of a fracking process being performed, identify, based on the stage of the fracking process that is identified, a feature of one or more fractures in a borehole that is configured for the fracking process, and generate a seismic image of the subsurface formation based on the feature of the one or more fractures.

The present invention discloses a microseismic wireless monitoring, receiving and early warning system of rock, which is connected with microseismic intelligent acquisition and data wireless transmission systems of rocks through a satellite. The microseismic wireless monitoring, receiving and early warning system of rock comprises a wireless receiving module, used for receiving a microseismic data packet processed by each microseismic signal wireless transmission system of rock through the satellite; a storage module, connected with the wireless receiving module, internally saving basic data information of each microseismic signal transmission system of the rock, automatically and correspondingly storing the microseismic data packet in real time and managing the microseismic data packet; a processing module, connected with the storage module and used for computing and analyzing to obtain microseismic source level information of a rock breakage signal and transmitting the information to the storage module to be stored.

The present invention discloses a microseismic intelligent acquisition and data wireless transmission system of rock. The microseismic intelligent acquisition and data wireless transmission system of rock comprises a data acquisition and intelligent process module, used for acquiring an original microseismic signal and intelligently processing the original microseismic signal to obtain a timed second microseismic signal data packet; a wireless transmission module, connected with the data acquisition and intelligent process module. The data acquisition and intelligent process module transmits the timed second microseismic signal data packet to a satellite in a wireless manner through the wireless transmission module such that the satellite receives and stores the timed second microseismic signal data packet. The microseismic intelligent acquisition and data wireless transmission system of rock of the present invention is free from the wire transmission, largely reduces the workload of manual field monitoring, and improves the quality of monitoring data.

An acquisition system is configured to acquire seismic data representing a subsurface formation during a fracking process. The system includes at least one acoustic sensor that is configured to obtain vibration data representing vibrations relating to three orthogonal directions relative to the at least one acoustic sensor. The system is configured to receive the vibration data from the at least one acoustic sensor, identify one or more resonance frequencies represented in the vibration data, determine, based on the identified one or more resonance frequencies, a stage of a fracking process being performed, identify, based on the stage of the fracking process that is identified, a feature of one or more fractures in a borehole that is configured for the fracking process, and generate a seismic image of the subsurface formation based on the feature of the one or more fractures.

A smart holster system may provide notifications of weapon danger, and may include a holster body with a first sensor. The first sensor may detect removal of the weapon from the holster body and indicate the weapon has been drawn. A second sensor coupled to the holster body may detect a gunshot. An indicator panel may include first, second, and third indicators. The first indicator may activate when the weapon has been drawn or the gunshot has been detected. The second indicator may activate after the weapon has been drawn and until the gunshot is detected or a predetermined amount of time elapses. The third indicator may activate after the gunshot is detected or the predetermined amount of time elapses after the weapon has been drawn. A transmitter may notify a Public Safety Access Point (PSAP) without entering a phone number in response to the third indicator being activated.

A seismic observation device includes a data acquisition unit that acquires measurement data from each of a plurality of sensors that measure different types of state quantities related to movement of a ground, and an event determination unit that determines whether or not a predetermined event related to the movement of the ground has occurred on the basis of the measurement data from the plurality of sensors.

A well system includes a fiber optic cable positionable downhole along a length of a wellbore. The well system also includes a reflectometer communicatively coupleable to the fiber optic cable. The reflectometer injects optical signals into the fiber optic cable and receives reflected optical signals from the fiber optic cable. Further, the reflectometer identifies strain detected in the reflected optical signals generated from seismic waves of a microseismic event. Additionally, the reflectometer identifies a focal mechanism of the microseismic event and velocities of the seismic waves. The reflectometer also determines a position of the microseismic event using the strain detected in the reflected optical signals, the focal mechanism of the microseismic event, and the velocities of the seismic waves.