CN112099097B - Electromagnetic data processing method and device based on cloud platform - Google Patents
Electromagnetic data processing method and device based on cloud platform Download PDFInfo
- Publication number
- CN112099097B CN112099097B CN202010827885.8A CN202010827885A CN112099097B CN 112099097 B CN112099097 B CN 112099097B CN 202010827885 A CN202010827885 A CN 202010827885A CN 112099097 B CN112099097 B CN 112099097B
- Authority
- CN
- China
- Prior art keywords
- data
- field
- measuring point
- electromagnetic
- cloud platform
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
Images
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01V—GEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS; TAGS
- G01V3/00—Electric or magnetic prospecting or detecting; Measuring magnetic field characteristics of the earth, e.g. declination, deviation
- G01V3/12—Electric or magnetic prospecting or detecting; Measuring magnetic field characteristics of the earth, e.g. declination, deviation operating with electromagnetic waves
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
- G01S19/00—Satellite radio beacon positioning systems; Determining position, velocity or attitude using signals transmitted by such systems
- G01S19/38—Determining a navigation solution using signals transmitted by a satellite radio beacon positioning system
- G01S19/39—Determining a navigation solution using signals transmitted by a satellite radio beacon positioning system the satellite radio beacon positioning system transmitting time-stamped messages, e.g. GPS [Global Positioning System], GLONASS [Global Orbiting Navigation Satellite System] or GALILEO
- G01S19/42—Determining position
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01V—GEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS; TAGS
- G01V3/00—Electric or magnetic prospecting or detecting; Measuring magnetic field characteristics of the earth, e.g. declination, deviation
- G01V3/38—Processing data, e.g. for analysis, for interpretation, for correction
Abstract
The application discloses an electromagnetic data processing method and device based on a cloud platform, comprising the following steps: the cloud platform receives emission data uploaded by the emission subsystem, and field detection instrument data and field electromagnetic data uploaded by the reception subsystem of each measuring point, wherein the field electromagnetic data comprise field construction data and field original electromagnetic data, and the emission data are parameter information corresponding to electromagnetic signals emitted by the emission subsystem; the data preprocessing module of the cloud platform preprocesses the field original electromagnetic data of each measuring point according to the emission data, the field detection instrument data and the field construction data of each measuring point; the data inversion module of the cloud platform performs inversion operation on the field original electromagnetic data of each measuring point according to the field original electromagnetic data preprocessing result of each measuring point to obtain the inversion result of each measuring point; and the result interpretation module of the cloud platform analyzes the inversion result of each measuring point to obtain the detection result of each measuring point.
Description
Technical Field
The application relates to the field of geological survey, in particular to an electromagnetic data processing method and device based on a cloud platform.
Background
Among geophysical exploration methods, the frequency domain electromagnetic exploration method has the advantages of high working efficiency, good resolution capability and the like, and is widely applied to the detection of the internal structure of the earth and underground resources such as oil gas, mineral products, geothermal heat and the like. Frequency domain electromagnetic methods can be classified into two broad categories, depending on the field source, one being methods of detection using a natural field source, for example, Magnetotelluric (MT); another type is a method of surveying using an artificially controllable source to emit an electromagnetic signal, for example, controlled source audio frequency magnetotelluric (CSAMT), sky wave method.
The magnetotelluric method and the controllable source audio magnetotelluric method have been widely used in recent years, but each method has some disadvantages. The magnetotelluric sounding method has large measurable range and depth, but because of adopting natural field source, the signal intensity is weak, and it is easy to be affected by various disturbances, so it must increase the number of superposition times during the measurement, thus the observation time is long and the working efficiency is low. Although the signal intensity of the controllable source audio frequency geoelectromagnetic method adopting the artificial field source is higher, the method has a near field effect when the frequency is lower, and the detection depth of the method is only 1-2 km at present, so that the requirement of deep exploration is difficult to meet. Thus, a high power fixed source very low frequency electromagnetic survey method called "WEM" was developed that combines the advantages of both MT and CSAMT methods. The basic idea of the method is to construct a fixed high-power electromagnetic signal emission source in a high-resistance area, the source scale can reach hundreds of kilometers, and high signal-to-noise ratio electromagnetic field signals covering the whole country can be generated. By utilizing signals generated by a high-power emission source, electromagnetic signal receiving equipment can be distributed in a plurality of exploration areas nationwide, electromagnetic exploration data is collected and processed, and the purpose that the exploration depth extends to 10 kilometers can be achieved. The WEM method can be applied to various exploration fields and can be used for oil and gas resource detection, mineral resource detection, electrical structure general survey and the like.
The signal intensity of WEM emission is big, and the signal-to-noise ratio is high, and effective signal can cover nationwide scope, consequently can lay a plurality of collection stations simultaneously in many places nationwide, carries out large tracts of land electromagnetic prospecting work. Signals acquired in the field of WEM need to be subjected to data processing, and a required WEM inversion result can be obtained. The obtained inversion result needs geological interpretation by professional personnel to guide subsequent work such as drilling construction and the like. Because the WEM data processing and inversion calculation processes are complex, an experienced expert is required for the processing. The geological interpretation of the inversion result can be effectively carried out by combining professional geophysical experts and geological experts with the prior professional experience and the collected geological and geophysical data.
The conventional WEM electromagnetic probe consists of a transmitting subsystem and receiving subsystems, and is shown in fig. 1 as a schematic diagram of the conventional WEM electromagnetic probe. And the transmitting subsystem is responsible for transmitting the WEM electromagnetic signal. In the process of transmitting the WEM signals, WEM electromagnetic detection groups located in all parts of the country work independently, and acquisition stations are distributed in all measurement areas respectively to acquire the WEM signals. A plurality of WEM detection teams of each receiving subsystem simultaneously detect in a plurality of measurement areas of the whole country. Each sounding team needs to contact with the transmitting subsystem to acquire transmitting data for subsequent data processing, and each sounding team is completely independent. All WEM signal detection subsystems need to be equipped by all personnel, and all teams are in full charge of the whole detection work of data acquisition, preprocessing, data inversion and result interpretation. The electromagnetic field data processing and inversion interpretation process is complex and needs professional staff to take charge. Each field detection team mainly comprises an acquisition engineer and a data processing engineer, the data processing engineer usually needs to independently complete data preprocessing, inversion, interpretation and other work, the data processing work has high speciality and requires a processor to have higher business level and work experience, and due to the fact that the area of some measuring areas is large, the data can be processed by multiple persons in the same working area, the levels of the data processors in different receiving subsystems are different, the data quality standards of the same working area are different or the adopted inversion parameters are different, the data inversion effect is poor, false abnormality exists, and the reliability of the final geological interpretation result is poor.
Disclosure of Invention
In view of this, the embodiment of the present application provides an electromagnetic data processing method based on a cloud platform, which is used for solving the problem in the prior art that the reliability of a geological interpretation result is poor.
The embodiment of the application adopts the following technical scheme:
the embodiment of the application provides an electromagnetic data processing method based on a cloud platform, and the method comprises the following steps:
the cloud platform receives emission data uploaded by the emission subsystem, and field detection instrument data and field electromagnetic data uploaded by the reception subsystem of each measuring point, wherein the field electromagnetic data comprise field construction data and field original electromagnetic data, and the emission data are parameter information corresponding to electromagnetic signals emitted by the emission subsystem;
the data preprocessing module of the cloud platform preprocesses the field original electromagnetic data of each measuring point according to the emission data, the field detection instrument data and the field construction data of each measuring point;
the data inversion module of the cloud platform performs inversion operation on the field original electromagnetic data of each measuring point according to the field original electromagnetic data preprocessing result of each measuring point to obtain the inversion result of each measuring point;
and the result interpretation module of the cloud platform analyzes the inversion result of each measuring point to obtain the detection result of each measuring point.
It should be noted that, the data processing cloud platform in the embodiments of the present specification is organically connected to the transmitting subsystem and each receiving subsystem. The transmitting subsystem only needs to transmit electromagnetic signals and uploads related transmitting data to the data processing cloud platform. Each receiving subsystem only needs to collect field electromagnetic signals in each measuring area and upload the collected data to the cloud platform, and the processing and inversion interpretation of the electromagnetic data can be all carried out by the cloud platform, so that the accuracy of exploration is greatly enhanced.
Furthermore, the cloud platform receives the emission data uploaded by the emission subsystem, and the field detection instrument data and the field electromagnetic data uploaded by the reception subsystem of each measuring point specifically include:
a transmitting system module of the cloud platform receives transmitting data uploaded by a transmitting subsystem;
and a receiving system module of the cloud platform receives field detection instrument data and field electromagnetic data uploaded by a receiving subsystem of each measuring point.
It should be noted that the cloud platform can be subdivided into a transmitting system module and a receiving system module, the transmitting system module can receive transmitting data uploaded by the transmitting subsystem, and the receiving system module can receive field electromagnetic data of a field detection instrument data set uploaded by the receiving subsystem of each measuring point, so that division of labor in the cloud platform is more definite.
Furthermore, the receiving system module comprises a field detecting instrument data module and a field electromagnetic data module, wherein the field detecting instrument data module is used for receiving field detecting instrument data, and the field electromagnetic data module is used for receiving field electromagnetic data.
It should be noted that the receiving system module can be subdivided into a field detection instrument data module and a field electromagnetic data module, the field detection instrument data module can receive field detection instrument data, the field electromagnetic data module can receive field electromagnetic data, and further subdivides modules in the cloud platform, so that division of labor in the cloud platform is more definite.
Further, the transmitting data comprises: the transmitting subsystem transmits an electromagnetic signal corresponding to a transmitting waveform, a transmitting frequency, a transmitting current and a transmitting time;
the field detection instrument data comprises: the serial number of the receiver, the serial number of the sensor and a calibration file;
the field construction data comprises: measuring point GPS information, acquisition parameters of a receiver corresponding to a measuring point, a serial number of the receiver corresponding to the measuring point, a serial number of a sensor corresponding to the measuring point, a field construction video image and field office report data;
the field detection of the raw electromagnetic data comprises: GPS information corresponding to the electromagnetic data, acquisition time corresponding to the electromagnetic data and a data value of the electromagnetic data.
It should be noted that, the above specifically discloses the content included in the transmission data, the content included in the field detection instrument data, the content included in the field construction data, and the content included in the field detection original electromagnetic data.
Further, before the data preprocessing module of the cloud platform preprocesses the field original electromagnetic data of each measuring point according to the emission data, the field detection instrument data and the field construction data of each measuring point, the method further comprises the following steps:
and the cloud platform performs data integration according to the emission data, the field detection instrument data, the field construction data and the field original electromagnetic data so as to establish a database corresponding to the emission data, the field detection instrument data, the field construction data and the field original electromagnetic data of each measuring point.
It should be noted that, when the subsequent steps are executed, the processing can be performed according to the emission data of each measuring point, the data of the field detection instrument, the data of the field construction and the database corresponding to the field original electromagnetic data.
Further, the cloud platform performs data integration according to the emission data, the field detection instrument data, the field construction data and the field original electromagnetic data so as to establish a database corresponding to the emission data, the field detection instrument data, the field construction data and the field original electromagnetic data of each measuring point, and specifically includes:
the data integration module of the cloud platform matches the field original electromagnetic data with the emission data according to the emission time of the emission data and the acquisition time corresponding to the electromagnetic data in the field original electromagnetic data;
a data integration module of the cloud platform matches the field construction data with the field original electromagnetic data according to measuring point GPS information in the field construction data and GPS information corresponding to the electromagnetic data in the field original electromagnetic data;
and matching the field construction data with the field detection instrument data according to the serial numbers of the receivers corresponding to the measuring points and the serial numbers of the sensors corresponding to the measuring points in the field construction data and the serial numbers of the receivers and the serial numbers of the sensors in the field detection instrument data so as to establish a database corresponding to the emission data, the field detection instrument data, the field construction data and the field original electromagnetic data of each measuring point.
It should be noted that the above steps specifically disclose a specific process of establishing a database corresponding to emission data, field detection instrument data, field construction data, and field original electromagnetic data of each measurement point.
Further, the data preprocessing module of the cloud platform preprocesses the field original electromagnetic data of each measuring point according to the emission data, the field detection instrument data and the field construction data of each measuring point, and specifically comprises:
and the data preprocessing module of the cloud platform performs one or more processes of transmitting frequency time matching, electromagnetic data amplitude calibration and estimation, data denoising and dimensional analysis on the field original electromagnetic data of each measuring point according to the transmitting data, the field detecting instrument data and the field construction data of each measuring point.
The steps are specific steps for preprocessing field original electromagnetic data of each measuring point. When the field original electromagnetic data of each measuring point is preprocessed, one or more of emission frequency time matching, electromagnetic data amplitude calibration and estimation, data denoising and dimensional analysis can be performed on the field original electromagnetic data of each measuring point.
Further, the data inversion module of the cloud platform performs inversion operation on the field original electromagnetic data of each measuring point according to the field original electromagnetic data preprocessing result of each measuring point to obtain the inversion result of each measuring point, and the method specifically includes:
the data inversion module of the cloud platform establishes an underground electrical property initial model, inversion trial calculation of different inversion parameters is carried out, final inversion parameters are determined, the field original electromagnetic data preprocessing result and the final inversion parameters of each measuring point are submitted to the cloud computing module, three-dimensional parallel inversion calculation of each measuring point is carried out, and the inversion result of each measuring point is obtained.
It should be noted that the above steps are a specific process of performing an inversion operation on each measurement point to obtain an inversion result of each measurement point.
Further, before the cloud platform receives the emission data uploaded by the emission subsystem and the field detection instrument data and the field electromagnetic data uploaded by the reception subsystem of each measuring point, the method further comprises:
the cloud platform login account with different authorities is distributed to a collection engineer, a launch engineer, a data preprocessing engineer, an inversion expert and a result explanation expert, wherein the collection engineer and the launch engineer have the authorities for uploading and checking data, the data preprocessing engineer has the authorities of a data preprocessing module, the inversion expert has the authorities of an inversion module, and the result explanation expert has the authorities of a result explanation module.
It should be noted that the working efficiency can be greatly improved by the embodiment of the specification, and based on a cloud platform, all relevant persons with authority can log in to obtain data inversion and interpretation results. The field engineers can cooperate with the remote experts in real time on line to form a virtual team, so that the efficiency is greatly improved, the scheme is divided into work and refined, the professional works are charged by the professionals in the design, the experts with rich experience can simultaneously perform data processing and quality control on a plurality of construction work areas, and the exploration accuracy is greatly enhanced.
The embodiment of the present application further provides an electromagnetic data processing apparatus based on a cloud platform, the apparatus includes:
the receiving unit is used for receiving the transmitting data uploaded by the transmitting subsystem and the field detecting instrument data and field electromagnetic data uploaded by the receiving subsystem of each measuring point by the cloud platform, wherein the field electromagnetic data comprise field construction data and field original electromagnetic data, and the transmitting data are parameter information corresponding to electromagnetic signals transmitted by the transmitting subsystem;
the data preprocessing module is used for preprocessing the field original electromagnetic data of each measuring point according to the emission data, the field detection instrument data and the field construction data of each measuring point;
the inversion unit is used for the data inversion module of the cloud platform to perform inversion operation on the field original electromagnetic data of each measuring point according to the field original electromagnetic data preprocessing result of each measuring point to obtain the inversion result of each measuring point;
and the result unit is used for analyzing the inversion result of each measuring point by the result interpretation module of the cloud platform to obtain the detection result of each measuring point.
The embodiment of the application adopts at least one technical scheme which can achieve the following beneficial effects: the data processing cloud platform of the embodiment of the description is organically connected with the transmitting subsystem and the receiving subsystems. The transmitting subsystem only needs to transmit electromagnetic signals and uploads related transmitting data to the data processing cloud platform. Each receiving subsystem only needs to collect field electromagnetic signals in each measuring area and upload the collected data to the cloud platform, and the processing and inversion interpretation of the electromagnetic data can be all carried out by the cloud platform, so that the accuracy of exploration is greatly enhanced.
Drawings
The accompanying drawings, which are included to provide a further understanding of the application and are incorporated in and constitute a part of this application, illustrate embodiment(s) of the application and together with the description serve to explain the application and not to limit the application. In the drawings:
FIG. 1 is a schematic diagram of a prior art WEM electromagnetic detection provided by the background of the present specification;
fig. 2 is a schematic flowchart of an electromagnetic data processing method based on a cloud platform according to an embodiment of the present disclosure
Fig. 3 is a schematic flowchart of a cloud platform-based electromagnetic data processing method provided in the second embodiment of the present specification;
FIG. 4 is a diagram of a data processing platform according to an embodiment of the present disclosure;
FIG. 5 is a schematic diagram of an electromagnetic data processing and inversion interpretation cloud platform according to an embodiment of the present disclosure;
fig. 6 is a cloud platform-based electromagnetic data processing flow proposed in an embodiment of the present specification;
fig. 7 is a schematic structural diagram of an electromagnetic data processing apparatus based on a cloud platform according to a second embodiment of this specification.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the technical solutions of the present application will be described in detail and completely with reference to the following specific embodiments of the present application and the accompanying drawings. It should be apparent that the described embodiments are only some of the embodiments of the present application, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
The technical solutions provided by the embodiments of the present application are described in detail below with reference to the accompanying drawings.
Fig. 2 is a schematic flowchart of an electromagnetic data processing method based on a cloud platform according to an embodiment of the present specification, where the electromagnetic data processing system according to the embodiment of the present specification may perform the following steps, and the specific steps may include:
step S101, the cloud platform receives emission data uploaded by the emission subsystem, and field detection instrument data and field electromagnetic data uploaded by the reception subsystem of each measuring point, wherein the field electromagnetic data comprise field construction data and field original electromagnetic data, and the emission data are parameter information corresponding to electromagnetic signals emitted by the emission subsystem.
And S102, preprocessing the field original electromagnetic data of each measuring point by a data preprocessing module of the cloud platform according to the emission data, the field detection instrument data and the field construction data of each measuring point.
And S103, performing inversion operation on the field original electromagnetic data of each measuring point by the data inversion module of the cloud platform according to the field original electromagnetic data preprocessing result of each measuring point to obtain the inversion result of each measuring point.
And step S104, analyzing the inversion result of each measuring point by the result interpretation module of the cloud platform to obtain the detection result of each measuring point.
Corresponding to the first embodiment of the present specification, fig. 3 is a schematic flowchart of a cloud platform-based electromagnetic data processing method provided in the second embodiment of the present specification, where the electromagnetic data processing system in the embodiment of the present specification may perform the following steps, and the specific steps may include:
step S201, the cloud platform receives emission data uploaded by the emission subsystem, and field detection instrument data and field electromagnetic data uploaded by the reception subsystem of each measuring point, wherein the field electromagnetic data comprise field construction data and field original electromagnetic data, and the emission data are parameter information corresponding to electromagnetic signals emitted by the emission subsystem.
In step S201 of the embodiment of this specification, the cloud platform receives the emission data uploaded by the emission subsystem, and the field detection instrument data and the field electromagnetic data uploaded by the reception subsystem of each measurement point, which specifically includes:
a transmitting system module of the cloud platform receives transmitting data uploaded by a transmitting subsystem;
and a receiving system module of the cloud platform receives field detection instrument data and field electromagnetic data uploaded by a receiving subsystem of each measuring point.
The receiving system module comprises a field detecting instrument data module and a field electromagnetic data module, wherein the field detecting instrument data module is used for receiving field detecting instrument data, and the field electromagnetic data module is used for receiving field electromagnetic data.
The transmission data in the embodiment of the present specification includes: the transmitting subsystem transmits an electromagnetic signal corresponding to a transmitting waveform, a transmitting frequency, a transmitting current and a transmitting time;
the field detection instrument data in the embodiments of the present description include: the serial number of the receiver, the serial number of the sensor and a calibration file;
the field construction data in the embodiments of this specification include: measuring point GPS information, acquisition parameters of a receiver corresponding to a measuring point, a serial number of the receiver corresponding to the measuring point, a serial number of a sensor corresponding to the measuring point, a field construction video image and field office report data;
the field detection of raw electromagnetic data in the embodiments of the present specification includes: GPS information corresponding to the electromagnetic data, acquisition time corresponding to the electromagnetic data and a data value of the electromagnetic data.
Step S202, a data preprocessing module of the cloud platform preprocesses the field original electromagnetic data of each measuring point according to the emission data, the field detection instrument data and the field construction data of each measuring point.
In step S202 in the embodiment of this specification, this step may specifically include:
and the data preprocessing module of the cloud platform performs one or more processing of emission frequency time matching, electromagnetic data amplitude calibration and estimation, data denoising and dimensional analysis on the field original electromagnetic data of each measuring point according to the emission data, the field detection instrument data and the field construction data of each measuring point. And the electromagnetic data amplitude calibration is carried out on the field original electromagnetic data of each measuring point according to a calibration file in the field detecting instrument data.
Further, before step S202 is executed, the cloud platform performs data integration according to the emission data, the field detection instrument data, the field construction data, and the field original electromagnetic data, so as to establish a database corresponding to the emission data, the field detection instrument data, the field construction data, and the field original electromagnetic data of each measurement point.
The step may specifically include:
a data integration module of the cloud platform matches the field original electromagnetic data with the emission data according to the emission time of the emission data and the acquisition time corresponding to the electromagnetic data in the field original electromagnetic data;
a data integration module of the cloud platform matches the field construction data with the field original electromagnetic data according to measuring point GPS information in the field construction data and GPS information corresponding to the electromagnetic data in the field original electromagnetic data;
and matching the field construction data with the field detection instrument data according to the serial numbers of the receivers corresponding to the measuring points and the serial numbers of the sensors corresponding to the measuring points in the field construction data and the serial numbers of the receivers and the serial numbers of the sensors in the field detection instrument data so as to establish a database corresponding to the emission data, the field detection instrument data, the field construction data and the field original electromagnetic data of each measuring point.
When the subsequent steps are executed, the processing can be carried out according to the emission data of each measuring point, the data of a field detecting instrument, the data of field construction and a database corresponding to the field original electromagnetic data.
Step S203, the data inversion module of the cloud platform performs inversion operation on the field original electromagnetic data of each measuring point according to the field original electromagnetic data preprocessing result of each measuring point to obtain the inversion result of each measuring point.
In step S203 in the embodiment of this specification, this step may specifically include:
the data inversion module of the cloud platform establishes an underground electrical property initial model, inversion trial calculation of different inversion parameters is carried out, final inversion parameters are determined, the field original electromagnetic data preprocessing result and the final inversion parameters of each measuring point are submitted to the cloud computing module, three-dimensional parallel inversion calculation of each measuring point is carried out, and the inversion result of each measuring point is obtained.
And S204, analyzing the inversion result of each measuring point by the result interpretation module of the cloud platform to obtain the detection result of each measuring point.
Further, before the cloud platform receives the emission data uploaded by the emission subsystem and the field detection instrument data and the field electromagnetic data uploaded by the reception subsystem of each measuring point, the method further comprises the following steps:
the cloud platform login account with different authorities is distributed to a collection engineer, a launch engineer, a data preprocessing engineer, an inversion expert and a result explanation expert, wherein the collection engineer and the launch engineer have the authorities for uploading and checking data, the data preprocessing engineer has the authorities of a data preprocessing module, the inversion expert has the authorities of an inversion module, and the result explanation expert has the authorities of a result explanation module.
The invention can solve the following problems in the prior art:
each field detection team only needs to be responsible for data acquisition, and a specially-assigned person is not needed to be responsible for data processing and inversion interpretation. The embodiment of the specification can solve the problem that a field construction team needs to carry data to process and invert and explain related hardware, and greatly reduces the field exploration cost.
Inversion parameters directly affect the final inversion result, so that the selection of the inversion parameters needs a professional to determine. The embodiment of the specification can solve the problem of detection failure caused by low technical level of data processing personnel;
the embodiment of the specification can also solve the problem of inconsistent inversion parameters of the same work area and the problem of inconsistent software versions, and solve the problem of artificial false abnormality possibly existing;
the embodiment of the specification can also solve the problem of high workload of the transmitting subsystem;
embodiments of the present description may also address data islanding issues and data security issues.
The embodiment of the specification can also solve the problem of overlarge calculation amount caused by processing data by a single machine.
In view of the above problems, the embodiments of the present specification may be solved by the following solutions:
referring to fig. 4, a schematic diagram of a data processing platform is shown, wherein the data processing platform is organically connected with an emission subsystem and each receiving subsystem. The transmitting subsystem only needs to transmit electromagnetic signals and uploads related transmitting data to the data processing cloud platform. Each receiving subsystem only needs to collect field electromagnetic signals in each measuring area and upload the collected data to the cloud platform. The processing and inversion interpretation of the WEM electromagnetic data can be both handled by the cloud platform.
1. And establishing an electromagnetic detection cloud platform professional working group by relying on a cloud platform for electromagnetic data processing.
The cloud platform staff can comprise a data preprocessing group, a data inversion group and a result interpretation group.
The data preprocessing group is formed by engineers with abundant experience and familiarity with processing software and is mainly responsible for preprocessing the acquired field data for data inversion.
The data inversion group consists of experienced geophysical experts and is responsible for performing data inversion calculation by utilizing a developed forward and backward algorithm, and the main contents of the data inversion group comprise the work of resistivity initial model establishment, inversion parameter selection, inversion trial calculation, inversion result analysis and comparison, three-dimensional parallelization inversion calculation and the like.
The inversion result geological interpretation group is composed of expert teams with abundant experience such as geology, geophysics and the like, and the expert teams are responsible for carrying out geological interpretation on the inversion result based on the existing geological and geophysics related data according to different detection requirements, so that the aim of the whole WEM electromagnetic detection is finally fulfilled.
Referring to fig. 5, a schematic diagram of an electromagnetic data processing and inverting interpretation cloud platform is shown, and the electromagnetic data processing and inverting interpretation cloud platform includes a transmitting system module, a receiving system module, a data processing module, a result interpretation module, a communication module, and a security module.
The transmitting system module is responsible for receiving transmitting data uploaded by the transmitting subsystem, wherein the transmitting data comprises transmitting waveforms, transmitting frequencies, transmitting currents and transmitting time corresponding to different transmitting data.
The receiving system module comprises an instrument information module and a field data module and is responsible for receiving and storing field detection instrument information and field data information uploaded by each field electromagnetic signal acquisition subsystem.
The field detecting instrument information mainly comprises a serial number of a receiver, a calibration file of the receiver, a serial number of a sensor and a calibration file of the sensor. The field data information comprises field construction data and field original electromagnetic data. The field construction data comprises: measuring point GPS information, receiver acquisition parameters corresponding to the measuring points, serial numbers of receivers corresponding to the measuring points, serial numbers of sensors, field construction video images and field office report data. The field original electromagnetic data comprise GPS information corresponding to the electromagnetic data, acquisition time corresponding to the electromagnetic data and data values of the electromagnetic data.
The data processing module comprises a data integration module and a data processing module, wherein the data integration module is used for establishing emission data, field construction data, field original electromagnetic data and an instrument information database of each measuring point; the data preprocessing module is used for carrying out data preprocessing work such as emission frequency time matching, electromagnetic data amplitude calibration and estimation, data denoising, dimensional analysis and the like on the field original electromagnetic data; the data inversion module is used for establishing an underground electrical property initial model, performing inversion trial calculation on different inversion parameters and determining final inversion parameters; and the cloud computing module performs three-dimensional parallel rapid inversion computation on the whole measurement area and obtains an inversion result.
And the result interpretation module is used for a geologist to analyze the inversion result, endowing the inversion result with geological meaning, and determining a next drilling plan.
The communication module is used for data communication between the transmitting subsystem and the cloud platform, and between the receiving subsystem and the cloud platform.
The security module is used for distributing accounts with different authorities and recording the operation behaviors of all users.
Before the acquisition work starts, cloud platform login accounts with different authorities are allocated to an acquisition engineer, a data preprocessing engineer, an inversion expert and an interpretation expert, for example, the acquisition and emission engineer has data uploading and viewing authorities, the data preprocessing engineer has data preprocessing authorities, the inversion expert has authorities of an inversion module and a cloud computing module, and the interpretation expert has authorities of a result interpretation module, so that the data security is improved; and the staff of different posts are clearly divided and professionally refined, thereby avoiding the defect that one technician must finish all the work in the old method.
2. WEM electromagnetic signal transmission and field data acquisition work
WEM electromagnetic signal transmission can be composed of experienced high-power signal transmission engineers, and is responsible for transmitting electromagnetic wave signals of different frequencies at different transmission times according to a plan, and finally, an electromagnetic wave field covering the whole country can be generated. The transmitting system module is responsible for receiving transmitting data uploaded by the transmitting subsystem, wherein the transmitting data comprises transmitting waveforms, transmitting frequencies, transmitting currents and transmitting time corresponding to different transmitting data.
The WEM electromagnetic field detection construction can be carried out by a collection engineer with abundant field work experience, and is responsible for arranging an electromagnetic signal receiver and an electromagnetic field sensor at each measuring point in a field measuring area according to field data collection operation rules, so that high-quality effective field data can be collected.
3. Data upload
After the field transmitting and receiving tasks of the measuring points or the measuring areas are completed, the transmitting subsystem logs in a cloud platform transmitting system module and submits transmitting data.
The receiving subsystem logs on the cloud platform and uploads instrument information and field original electromagnetic data information to the receiving system module.
4. Remote cloud data integration
And the cloud platform matches the field original electromagnetic data with the transmitted data according to the transmitting time of the data uploaded by the transmitting subsystem and the collecting time of the original data uploaded by the receiving subsystem. And matching the field construction data with the field original electromagnetic data according to the measuring point GPS in the field construction data and the measuring point GPS information in the field original electromagnetic data. And matching the field construction data with the adopted instrument information according to the instrument serial number in the construction data and the serial number in the instrument information, and establishing a database corresponding to the emission data, the field detection instrument data, the field construction data and the field original electromagnetic data of each measuring point. When the subsequent steps are executed, the processing can be carried out according to the emission data of each measuring point, the data of a field detecting instrument, the data of field construction and a database corresponding to the field original electromagnetic data.
5. Remote expert data processing
And (3) a data preprocessing group engineer comprehensively acquires the field data acquisition condition of each measuring point based on the emission information, the instrument acquisition parameters, the field work report and the field construction video image corresponding to each measuring point, and performs data preprocessing work such as electromagnetic data amplitude calibration and estimation, data denoising, dimensional analysis and the like on each measuring point.
And (4) performing forward and backward calculation on the electromagnetic data by experts of the data inversion group according to the data preprocessing result of each measuring point. And establishing an underground electrical property initial model, performing inversion trial calculation on different inversion parameters, and determining final inversion parameters. After the preparation work before the three-dimensional inversion is finished, data and inversion parameters required by the inversion are submitted to a cloud computing module, the three-dimensional parallel rapid inversion computation of the whole measurement area is carried out, and an inversion result is obtained.
6. And an inversion result geological interpretation group expert comprehensively analyzes the transmitting data of the transmitting subsystem, the instrument data of the receiving subsystem and the parameters of field data, data preprocessing and data inversion, performs geological interpretation on the inversion result by combining the collected relevant geological and geophysical information of each work area to form a final WEM electromagnetic detection result, and issues the interpretation result to a cloud platform result interpretation module.
7. And remotely logging a field engineer of each measurement area data receiving subsystem to a cloud platform, acquiring a final interpretation result of the corresponding measurement area in real time, and performing drilling construction according to the interpretation result.
Referring to fig. 6, an electromagnetic data processing flow based on a cloud platform is shown, wherein data are uploaded by a transmitting system and data are uploaded by a receiving system, remote cloud data integration is performed, remote expert data processing is performed, geological interpretation is performed, and processing and interpretation results are remotely checked in real time.
The embodiment of the specification has the following advantages:
the embodiment of the specification can greatly reduce the personnel cost, and exploration teams in all survey areas of the whole country only need to be equipped with field data acquisition personnel without arranging special personnel for data processing;
the embodiment of the specification can greatly reduce the equipment cost, and exploration teams located in all survey areas of the whole country only need to carry data acquisition related instrument equipment and do not need to carry data processing related software and hardware equipment;
the embodiment of the specification can greatly improve the working efficiency, and based on the cloud platform, all related personnel with authority can log in to obtain data inversion and interpretation results. The field engineers can cooperate with the remote experts in real time on line to form a virtual team, so that the efficiency is greatly improved, the scheme is divided into multiple parts and refined, a professional is designed to take charge of professional work, and the experts with rich experience can simultaneously perform data processing and quality control on a plurality of construction work areas, so that the exploration accuracy is greatly enhanced;
the embodiment of the specification can adopt cloud computing to carry out inversion computing, so that the inversion time can be greatly reduced;
the embodiment of the specification can eliminate data islands, and uniformly manage the data of different work areas in a cloud manner, so that the data of different work areas can be conveniently compared and analyzed;
the embodiment of the specification can improve the data security, the receiving subsystem is only responsible for acquiring original data, the processing, inversion and interpretation results are all stored on the cloud, the authority is given by the aid of the authentication and recording system of the cloud platform, the records are accessed, and the data security is improved;
the embodiment of the specification can improve the stability of the transmitting subsystem, each receiving subsystem and the transmitting subsystem are decoupled by means of the cloud platform, the transmitting subsystem uploads transmitting data to the cloud platform, the receiving subsystem does not need to be directly communicated with the transmitting subsystem, the receiving subsystem acquires the transmitting data from the cloud platform, and the load pressure of the transmitting subsystem is reduced.
It should be noted that, in the embodiment of the present specification, a working mode of a cloud platform is adopted, all people can log in the cloud platform, data is uploaded in the field, other data are processed, inverted and analyzed, and various data processing is completed by a remote base based on the cloud platform. The field group is only responsible for data acquisition and related data uploading, data of the WEM transmitting system and data of all receiving subsystems are transmitted to the cloud, data processing and interpretation are uniformly carried out by remote experts, and final processing results are returned to the WEM electromagnetic data processing mode of all receiving subsystems.
Corresponding to the second embodiment of this specification, fig. 7 is a schematic structural diagram of an electromagnetic data processing apparatus based on a cloud platform provided in the second embodiment of this specification, and specifically includes: the device comprises a receiving unit 1, a preprocessing unit 2, an inversion unit 3 and a result unit 4.
The receiving unit 1 is used for receiving transmission data uploaded by the transmission subsystem and field detection instrument data and field electromagnetic data uploaded by the receiving subsystems of all the measuring points by the cloud platform, wherein the field electromagnetic data comprise field construction data and field original electromagnetic data, and the transmission data are parameter information corresponding to electromagnetic signals transmitted by the transmission subsystem;
the preprocessing unit 2 is used for preprocessing the field original electromagnetic data of each measuring point by a data preprocessing module of the cloud platform according to the emission data, the field detection instrument data and the field construction data of each measuring point;
the inversion unit 3 is used for the data inversion module of the cloud platform to perform inversion operation on the field original electromagnetic data of each measuring point according to the field original electromagnetic data preprocessing result of each measuring point to obtain the inversion result of each measuring point;
and the result unit 4 is used for analyzing the inversion result of each measuring point by the result interpretation module of the cloud platform to obtain the detection result of each measuring point.
It should also be noted that the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.
The application may be described in the general context of computer-executable instructions, such as program modules, being executed by a computer. Generally, program modules include routines, programs, objects, components, data structures, etc. that perform particular tasks or implement particular abstract data types. The application may also be practiced in distributed computing environments where tasks are performed by remote processing devices that are linked through a communications network. In a distributed computing environment, program modules may be located in both local and remote computer storage media including memory storage devices.
The embodiments in the present specification are described in a progressive manner, and the same and similar parts among the embodiments are referred to each other, and each embodiment focuses on the differences from the other embodiments. In particular, for the system embodiment, since it is substantially similar to the method embodiment, the description is simple, and for the relevant points, reference may be made to the partial description of the method embodiment.
The above description is only an example of the present application and is not intended to limit the present application. Various modifications and changes may occur to those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application should be included in the scope of the claims of the present application.
Claims (2)
1. A cloud platform-based electromagnetic data processing method is characterized by comprising the following steps:
the method comprises the steps that cloud platform login accounts with different authorities are distributed to an acquisition engineer, a launch engineer, a data preprocessing engineer, an inversion expert and a result explanation expert, wherein the acquisition engineer and the launch engineer have the authorities for uploading and checking data, the data preprocessing engineer has the authorities of a data preprocessing module, the inversion expert has the authorities of an inversion module, and the result explanation expert has the authorities of a result explanation module;
the cloud platform receives the emission data that transmission subsystem uploaded, and the field detection instrument data and the field electromagnetic data that receive subsystem uploaded of each measurement station specifically include:
a transmitting system module of the cloud platform receives transmitting data uploaded by a transmitting subsystem;
a receiving system module of the cloud platform receives field detection instrument data and field electromagnetic data uploaded by a receiving subsystem of each measuring point;
the receiving system module comprises a field detecting instrument data module and a field electromagnetic data module, the field detecting instrument data module is used for receiving field detecting instrument data, the field electromagnetic data module is used for receiving field electromagnetic data, and the field electromagnetic data comprises field construction data and field original electromagnetic data;
the transmitting data comprises: the transmitting subsystem transmits an electromagnetic signal corresponding to a transmitting waveform, a transmitting frequency, a transmitting current and a transmitting time; the field detection instrument data comprises: the serial number of the receiver, the serial number of the sensor and a calibration file; the field construction data comprises: measuring point GPS information, acquisition parameters of a receiver corresponding to a measuring point, a serial number of the receiver corresponding to the measuring point, a serial number of a sensor corresponding to the measuring point, a field construction video image and field office report data; the field raw electromagnetic data comprises: GPS information corresponding to the electromagnetic data, acquisition time corresponding to the electromagnetic data and a data value of the electromagnetic data;
the data preprocessing module of the cloud platform preprocesses the field original electromagnetic data of each measuring point according to the emission data, the field detection instrument data and the field construction data of each measuring point;
the data preprocessing module of the cloud platform preprocesses the field original electromagnetic data of each measuring point according to the emission data, the field detection instrument data and the field construction data of each measuring point, and the data preprocessing module specifically comprises the following steps:
the data preprocessing module of the cloud platform performs one or more processing of emission frequency time matching, electromagnetic data amplitude calibration and estimation, data denoising and dimensional analysis on the field original electromagnetic data of each measuring point according to the emission data, the field detection instrument data and the field construction data of each measuring point;
before the data preprocessing module of the cloud platform preprocesses the field original electromagnetic data of each measuring point according to the emission data, the field detection instrument data and the field construction data of each measuring point, the cloud platform integrates the data according to the emission data, the field detection instrument data, the field construction data and the field original electromagnetic data so as to establish a database corresponding to the emission data, the field detection instrument data, the field construction data and the field original electromagnetic data of each measuring point;
the cloud platform performs data integration according to the emission data, the field detection instrument data, the field construction data and the field original electromagnetic data so as to establish a database corresponding to the emission data, the field detection instrument data, the field construction data and the field original electromagnetic data of each measuring point, and the method specifically comprises the following steps:
the data integration module of the cloud platform matches the field original electromagnetic data with the emission data according to the emission time of the emission data and the acquisition time corresponding to the electromagnetic data in the field original electromagnetic data;
a data integration module of the cloud platform matches the field construction data with the field original electromagnetic data according to measuring point GPS information in the field construction data and GPS information corresponding to the electromagnetic data in the field original electromagnetic data;
matching the field construction data with field detection instrument data according to the serial numbers of the receivers corresponding to the measuring points and the serial numbers of the sensors corresponding to the measuring points in the field construction data and the serial numbers of the receivers and the serial numbers of the sensors in the field detection instrument data so as to establish a database corresponding to the emission data, the field detection instrument data, the field construction data and the field original electromagnetic data of each measuring point;
the data inversion module of the cloud platform performs inversion operation on the field original electromagnetic data of each measuring point according to the field original electromagnetic data preprocessing result of each measuring point to obtain the inversion result of each measuring point;
the data inversion module of the cloud platform performs inversion operation on the field original electromagnetic data of each measuring point according to the field original electromagnetic data preprocessing result of each measuring point to obtain the inversion result of each measuring point, and the data inversion module specifically comprises the following steps:
the data inversion module of the cloud platform establishes an underground electrical property initial model, inversion trial calculation of different inversion parameters is carried out, final inversion parameters are determined, the field original electromagnetic data preprocessing result and the final inversion parameters of each measuring point are submitted to the cloud computing module, three-dimensional parallel inversion calculation of each measuring point is carried out, and the inversion result of each measuring point is obtained;
the result interpretation module of the cloud platform analyzes the inversion result of each measuring point to obtain the detection result of each measuring point; the electromagnetic data processing method is a WEM electromagnetic data processing method.
2. An apparatus for electromagnetic data processing based on a cloud platform, the apparatus comprising:
the receiving unit is configured to enable the cloud platform to receive transmission data uploaded by the transmission subsystem, and field detection instrument data and field electromagnetic data uploaded by the receiving subsystem of each measuring point, wherein the field electromagnetic data comprise field construction data and field original electromagnetic data, and the transmission data are parameter information corresponding to electromagnetic signals transmitted by the transmission subsystem; the cloud platform receives the emission data that transmission subsystem uploaded, and before open-air detecting instrument data and the open-air electromagnetic data that receive subsystem upload of each measurement station, still include: the method comprises the steps that cloud platform login accounts with different authorities are distributed to an acquisition engineer, a launch engineer, a data preprocessing engineer, an inversion expert and a result explanation expert, wherein the acquisition engineer and the launch engineer have the authorities for uploading and checking data, the data preprocessing engineer has the authorities of a data preprocessing module, the inversion expert has the authorities of an inversion module, and the result explanation expert has the authorities of a result explanation module; the cloud platform receives the emission data that transmission subsystem uploaded, and the field detection instrument data and the field electromagnetic data that receive subsystem uploaded of each measurement station specifically include: a transmitting system module of the cloud platform receives transmitting data uploaded by a transmitting subsystem; a receiving system module of the cloud platform receives field detection instrument data and field electromagnetic data uploaded by a receiving subsystem of each measuring point; the receiving system module comprises a field detecting instrument data module and a field electromagnetic data module, the field detecting instrument data module is used for receiving field detecting instrument data, the field electromagnetic data module is used for receiving field electromagnetic data, and the field electromagnetic data comprises field construction data and field original electromagnetic data; the transmitting data comprises: the transmitting subsystem transmits an electromagnetic signal corresponding to a transmitting waveform, a transmitting frequency, a transmitting current and a transmitting time; the field detection instrument data comprises: the serial number of the receiver, the serial number of the sensor and a calibration file; the field construction data comprises: measuring point GPS information, acquisition parameters of a receiver corresponding to a measuring point, a serial number of the receiver corresponding to the measuring point, a serial number of a sensor corresponding to the measuring point, a field construction video image and field office report data; the field raw electromagnetic data comprises: GPS information corresponding to the electromagnetic data, acquisition time corresponding to the electromagnetic data and a data value of the electromagnetic data;
the data preprocessing module of the cloud platform is configured to preprocess the field original electromagnetic data of each measuring point according to the emission data, the field detection instrument data and the field construction data of each measuring point; the data preprocessing module of the cloud platform preprocesses the field original electromagnetic data of each measuring point according to the emission data, the field detection instrument data and the field construction data of each measuring point, and the data preprocessing module specifically comprises the following steps: the data preprocessing module of the cloud platform performs one or more processing of emission frequency time matching, electromagnetic data amplitude calibration and estimation, data denoising and dimensional analysis on the field original electromagnetic data of each measuring point according to the emission data, the field detection instrument data and the field construction data of each measuring point; the data preprocessing module of the cloud platform is used for preprocessing the data of the cloud platform according to the emission data of each measuring point, the data of a field detection instrument and the data of field construction, before preprocessing the field original electromagnetic data of each measuring point, the cloud platform integrates the data according to the emission data, the field detecting instrument data, the field construction data and the field original electromagnetic data, so as to establish a database corresponding to the emission data, the field detection instrument data, the field construction data and the field original electromagnetic data of each measuring point; the cloud platform carries out data integration according to the emission data, the field detection instrument data, the field construction data and the field original electromagnetic data, so as to establish a database corresponding to the emission data, the field detection instrument data, the field construction data and the field original electromagnetic data of each measuring point, which specifically comprises the following steps: the data integration module of the cloud platform matches the field original electromagnetic data with the emission data according to the emission time of the emission data and the acquisition time corresponding to the electromagnetic data in the field original electromagnetic data; a data integration module of the cloud platform matches the field construction data with the field original electromagnetic data according to measuring point GPS information in the field construction data and GPS information corresponding to the electromagnetic data in the field original electromagnetic data; matching the field construction data with field detection instrument data according to the serial numbers of the receivers corresponding to the measuring points and the serial numbers of the sensors corresponding to the measuring points in the field construction data and the serial numbers of the receivers and the serial numbers of the sensors in the field detection instrument data so as to establish a database corresponding to the emission data, the field detection instrument data, the field construction data and the field original electromagnetic data of each measuring point;
the inversion unit is configured to enable the data inversion module of the cloud platform to perform inversion operation on the field original electromagnetic data of each measuring point according to the field original electromagnetic data preprocessing result of each measuring point to obtain the inversion result of each measuring point; the data inversion module of the cloud platform performs inversion operation on the field original electromagnetic data of each measuring point according to the field original electromagnetic data preprocessing result of each measuring point to obtain the inversion result of each measuring point, and the data inversion module specifically comprises the following steps: the data inversion module of the cloud platform establishes an underground electrical property initial model, inversion trial calculation of different inversion parameters is carried out, final inversion parameters are determined, the field original electromagnetic data preprocessing result and the final inversion parameters of each measuring point are submitted to the cloud computing module, three-dimensional parallel inversion calculation of each measuring point is carried out, and the inversion result of each measuring point is obtained;
the result unit is configured to enable the result interpretation module of the cloud platform to analyze the inversion result of each measuring point to obtain the detection result of each measuring point; the electromagnetic data is electromagnetic data acquired by the WEM.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010827885.8A CN112099097B (en) | 2020-08-17 | 2020-08-17 | Electromagnetic data processing method and device based on cloud platform |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010827885.8A CN112099097B (en) | 2020-08-17 | 2020-08-17 | Electromagnetic data processing method and device based on cloud platform |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN112099097A CN112099097A (en) | 2020-12-18 |
| CN112099097B true CN112099097B (en) | 2022-04-01 |
Family
ID=73753906
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202010827885.8A Active CN112099097B (en) | 2020-08-17 | 2020-08-17 | Electromagnetic data processing method and device based on cloud platform |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN112099097B (en) |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102866424A (en) * | 2012-09-18 | 2013-01-09 | 中国石油天然气股份有限公司 | Seismic data remote processing system based on cloud computing |
| CN103942911A (en) * | 2014-03-17 | 2014-07-23 | 石杰 | System and method for detecting forest fires based on cloud computing |
| CN107481496A (en) * | 2017-08-31 | 2017-12-15 | 电子科技大学 | A kind of field inspection data remote transmission system based on GPRS network and cloud platform |
| CN111200663A (en) * | 2020-02-20 | 2020-05-26 | 南京理工大学 | Converter steelmaking on-line monitoring and early warning system and method based on cloud platform |
-
2020
- 2020-08-17 CN CN202010827885.8A patent/CN112099097B/en active Active
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102866424A (en) * | 2012-09-18 | 2013-01-09 | 中国石油天然气股份有限公司 | Seismic data remote processing system based on cloud computing |
| CN103942911A (en) * | 2014-03-17 | 2014-07-23 | 石杰 | System and method for detecting forest fires based on cloud computing |
| CN107481496A (en) * | 2017-08-31 | 2017-12-15 | 电子科技大学 | A kind of field inspection data remote transmission system based on GPRS network and cloud platform |
| CN111200663A (en) * | 2020-02-20 | 2020-05-26 | 南京理工大学 | Converter steelmaking on-line monitoring and early warning system and method based on cloud platform |
Non-Patent Citations (1)
| Title |
|---|
| 用于深部采空区探测的可控源音频大地电磁法抗强干扰数据采集及处理策略;张凯;《地球物理学进展》;20191231;第34卷(第5期);第1-4部分 * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN112099097A (en) | 2020-12-18 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Stork et al. | Application of machine learning to microseismic event detection in distributed acoustic sensing data | |
| Doran et al. | Ocean‐bottom seismometer instrument orientations via automated Rayleigh‐wave arrival‐angle measurements | |
| US7127353B2 (en) | Method and apparatus for imaging permeability pathways of geologic fluid reservoirs using seismic emission tomography | |
| CN103645503B (en) | A kind of three-dimensional time territory illumination analysis and vibration amplitude compensation method | |
| Jakkampudi et al. | Footstep detection in urban seismic data with a convolutional neural network | |
| CN108693561B (en) | Coal mining seismic acquisition system and method based on wave detector subdivision array | |
| CN104280775A (en) | Microseism monitoring and positioning method based on full-waveform vector offset superposition | |
| CN106896415A (en) | A kind of short offset distance transient electromagnetic detecting method of ground well grounded source | |
| CN103454681B (en) | Evaluate the method and apparatus of 3 D seismic observation system imaging effect | |
| CN113484910B (en) | Tunnel advanced geological prediction method and system based on seismic interferometry | |
| CN102928878A (en) | Amplitude balance quantitative evaluation method for three-dimensional earthquake observing system | |
| CN114384593A (en) | Distributed three-dimensional induced polarization data acquisition and processing device and method | |
| CN115016006B (en) | Microseism positioning method and positioning system based on mine safety monitoring | |
| CN101609163B (en) | Multi-scale seismic data joint imaging method based on fluctuation theory | |
| US7353132B2 (en) | Data acquisition system | |
| Albarello et al. | Seismic characterization and reconstruction of reference ground motion at accelerometric sites of the Italian national accelerometric network (RAN) | |
| CN112099097B (en) | Electromagnetic data processing method and device based on cloud platform | |
| CN102798888B (en) | Method for calculating velocity ratio of longitudinal wave to transverse wave by using non-zero wellhead distance data | |
| AU2021104229A4 (en) | Method and device for cloud terminal intelligent processing of electromagnetic data | |
| Jia et al. | Artificial seismic source field research on the impact of the number and layout of stations on the microseismic location error of mines | |
| EP2743737A2 (en) | Methods and systems for quality control of seismic illumination maps | |
| CN112379412A (en) | Quality monitoring method and device for collecting seismic data | |
| JPS60133387A (en) | Method and apparatus for underground prospecting | |
| Clausolles et al. | Stochastic velocity modeling for assessment of imaging uncertainty during seismic migration: Application to salt bodies | |
| Strumia et al. | Sensing optical fibers for earthquake source characterization using raw DAS records |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |