The claimed invention relates to means for analysis of a mineral deposit under development using noise logging. The aim of invention consists in increasing accuracy of sound source position determining at surveying in wells with complicated multi-barrier design. The method for locating an acoustic noise source in a well comprises the stages of: computer simulation of acoustic field generated by one or more sources of acoustic signal in the well; simultaneous recording of acoustic signals inside the wellbore using a device for recording acoustic signals comprising at least two acoustic sensors; locating the sought acoustic signal sources in the well by means of co-processing of computer simulation data and data on acoustic signals inside the wellbore recorded using the aforementioned device.

A computer implemented method for analyzing a reservoir grid modeling a reservoir geological formation is provided in which the reservoir grid corresponds to a 3D grid of cells associated to respective values of at least one geological property. The method includes obtaining a 4D seismic image of the reservoir geological formation. A skeleton of the 4D seismic image is calculated, and the skeleton extends between at least one origin and a plurality of extremities. Each point of the skeleton is associated to a value of the at least one geological property of the reservoir grid. Flow time values are calculated for a fluid flowing from the origin to the extremities along the skeleton, based on the at least one geological property values associated to the points of the skeleton. The reservoir grid is calculated based on the flow time values.

A network of motion sensors employs sensitive accelerometers to issue time-domain measurements of building movement from multiple locations within and between buildings and other structures. The time-domain measurements from the various motion sensors are synchronized and converted into frequency-domain measurements of building movement. Individual motion sensors can be equipped with the requisite processor and memory to synchronize and covert the time-domain measurements. The motions sensors can classify detected events into various event types, such as earthquakes, wind events, or bipedal locomotion. The sensors can also communicate with one another or other resources to calculate event probabilities. A motion sensor may, for example, receive an earthquake-verification signal responsive to an earthquake-verification request. The network of motion sensors can calculate local soil stiffness and financial loss estimations responsive to their individual or collective frequency-domain measurements.

A method of identifying inflow locations along a wellbore comprises obtaining an acoustic signal from a sensor within the wellbore, determining a plurality of frequency domain features from the acoustic signal, and identifying, using a plurality of fluid flow models, a presence of at least one of a gas phase inflow, an aqueous phase inflow, or a hydrocarbon liquid phase inflow at one or more fluid flow locations. The acoustic signal comprises acoustic samples across a portion of a depth of the wellbore, and the plurality of frequency domain features are obtained across a plurality of depth intervals within the portion of the depth of the wellbore. Each fluid flow model of the plurality of fluid inflow models uses one or more frequency domain features of the plurality of the frequency domain features, and at least two of the plurality of fluid flow models are different.

According certain aspects, embodiments of the invention consider the problem of microseismic event localization from a parameter estimation perspective, and include a method and system for computing and displaying characteristics of event localization errors. According to certain other aspects, embodiments of the invention include techniques for deriving aggregate statistics from a set of event location estimates, including methods for computing and displaying the probability that an event occurred in any given volume, and methods for describing and displaying the smallest volume that contains a specified percentage of the event probability or expected to contain the specified percentage of the events.

An apparatus and method of using drilling vibrations generated by the deformation of a rock formation in response to forces acting on the rock formation, where the forces are related to a drill bit and/or drilling fluid system, to identify the nature and occurrence of fractures, fracture swarms and other mechanical discontinuities (boundaries) such as bedding planes and/or faults that offset or otherwise separate rock formations with different mechanical rock properties.

A correction method for a microseism interpretation fracturing fracture parameter result. The method includes classifying the communication modes of a block sampling fractured wells to be corrected according to the matching degree of micro seismic monitoring result and sand adding amount; correcting the volume coefficient of each said classified fractured well single well, and the volume correction coefficient By of each said fractured well is:

[00001]$B_v=\frac{{\left[L^{5/4}H\right]}_T}{{\left[L^{5/4}H\right]}_W},$

wherein, [L.sup.5/4H].sub.W is a calculation value of a micro seismic monitoring interpretation result; [L.sup.5/4H].sub.T is a theoretical calculation value obtained by using field construction parameters; C, calculating the classification volume correction coefficient of each class of fractured wells according to the calculated single well volume correction coefficient of each said fractured well. The micro seismic interpretation result can be corrected in combination with the field construction parameters, so that the micro seismic monitoring data can be utilized to truly interpret the effective fracture morphology after fracturing.

A method detects seismic events, in particular detects foreshocks for earthquake prediction. The events are detected by a plurality of sensors, wherein at least a part of a water pipe network on which the sensors are arranged is used for detection. An ultrasonic water meter to be connected to a water pipe network and an ultrasonic water meter system connected to a water pipe network are provided to detect seismic events.

A computer system manages model information for defining a U-Net configured to execute, on the input time-series data, an encoding operation for extracting a feature map relating to the target wave by using downsampling blocks and a decoding operation for outputting data for predicting the first motion time of the target wave by using upsampling blocks, executes the encoding operation and the decoding operation on the input time-series data by using the model information. The downsampling blocks and the upsampling blocks each includes a residual block. The residual block includes a time attention block calculates a time attention for emphasizing a specific time domain in the feature map. The time attention block includes an arithmetic operation for calculating attentions different in time width, and calculates a feature map to which the time attention is added by using the attentions.

The present application discloses an artificial intelligence calculation method and apparatus for monitoring an earthquake in real time based on edge cloud cooperation, and a storage medium. Wherein, the method is applied to a micro-earthquake data processing system. The micro-earthquake data processing system comprises an edge calculation device and a remote server that is in communication connection with the edge calculation device, wherein the remote server deploys a micro-earthquake data analyzing model based on an artificial intelligence to the edge calculation device in advance. Moreover, the method comprises: receiving, by the remote server, effective event data related to the micro-earthquake from the edge calculation device, wherein the effective event data is obtained, by the edge calculation device, by means of calculating and analyzing the micro-earthquake data collected by the edge calculation device by using the micro-earthquake data analyzing model; performing a transfer training to the micro-earthquake data analyzing model by the remote server according to the effective event data; and updating the model after the micro-earthquake data analyzing model that has been transfer-trained is transmitted to the edge calculation device by the remote server.