Chinese Academy of Sciences

Lu, Yi

Zhongxing Wang

Qingyun Di

Yongyou Yang

Tianxin Zhang

Renzhong Pei

Wenxiu Zhang

Fei Tian

Lili Kang

Zhiyao Liu

Wenhao Zheng

Jiangyun Zhang

Xiong Yin

Ruo Wang

Zhiguo An

Wenxuan Chen

Jian Zheng

Guoqiang Xue

Yujie Yang

Xinzhen He

Jiansheng Du

Zili Wang

Qijun Xie

Linfeng Hong

Changmin Fu

Binbin Chen

Yi Lu

Da Lei

Xianjun Zhuo

Shujun Wu

Zihang Li

A device and a processing method for offsetting an attitude error of a semi-airborne electromagnetic system. The method includes following steps: adjusting attitude angles of the adjustable offset coil based on the changing attitude angle of the measuring coil; obtaining a magnetic induction intensity of offset coils based on the offset coil pairs after an attitude angle adjustment; performing a calculation based on the magnetic induction intensity of the offset coils to obtain attitude error data of the measuring coil; obtaining a magnetic induction intensity of the measuring coil with an attitude error offset based on the magnetic induction intensity and the attitude error data of the measuring coil.

Device and processing method for offsetting attitude error of semi-airborne electromagnetic system

Provided are a method and a device for mobile rapid exploration of mineral resources. The device includes a main magnetic sensor, a slave magnetic sensor and a ground vertical magnetic field sensor arranged in a ground reference station. During exploration, on the one hand, a semi-airborne artificial source exploration method is used to collect signals with the main magnetic sensor and the slave magnetic sensor, in which the slave magnetic sensor collects low-frequency motion noise, and the main magnetic sensor collects low-frequency motion noise and vertical magnetic field signals synchronously. On the other hand, vertical magnetic field signals in a same survey area are collected by the ground vertical magnetic field sensor, and then the low-frequency motion noise collected by the main magnetic sensor is estimated twice through two correlation mappings, so as to obtain a final vertical magnetic field measurement signal.

Method and device for mobile rapid exploration of mineral resources

A semi-airborne electromagnetic survey device and a semi-airborne electromagnetic survey method based on coaxial coplanar mutual reference coil assembly are provided. The device includes a measuring coil and a reference coil with linear correlation of additive motion noise; the reference coil and the measuring coil have a same bandwidth, are coaxial and coplanar and are in hard connection or soft connection; detection resolution of the reference coil only distinguishes the additive motion noise; detection resolution of the measuring coil distinguishes real vertical magnetic field signals and motion noise simultaneously; the reference coil has a much smaller outer diameter than the measuring coil. In the method, one coil only receives the additive motion noise, and an other coil simultaneously receives the additive motion noise and the real vertical magnetic field signals; and the additive motion noise received by the two coils is cancelled to obtain the real vertical magnetic field signals.

Semi-airborne electromagnetic survey device and method based on coaxial coplanar mutual reference coil assembly

The present invention provides a processing method and device for data of a well site test based on a knowledge graph. The processing method for the data of the well site test based on the knowledge graph comprises: carrying out format identification on received historical data of the well site test to generate format identification results; establishing a mind map according to the format identification results; generating the knowledge graph of the data of the well site test according to the mind map; and processing the historical data of the well site test and new data of the well site test according to the knowledge graph.

Processing method and device for data of well site test based on knowledge graph

The present invention belongs to the field of treatment for data identification and recording carriers, and specifically relates to a method and system for analyzing filling for a karst reservoir based on spectrum decomposition and machine learning, which aims to solve the problems that by adopting the existing petroleum exploration technology, the reservoir with fast lateral change cannot be predicted, and the development characteristics of a carbonate cave type reservoir in a large-scale complex basin cannot be identified. The method comprises: acquiring data of standardized logging curves; obtaining a high-precision 3D seismic amplitude data body by mixed-phase wavelet estimation and maximum posteriori deconvolution and enhancing diffusion filtering. According to the method and the system, the effect of identifying the development characteristics of the carbonate karst cave type reservoir in the large-scale complex basin can be achieved, and the characterization precision is improved.

Method and system for analyzing filling for karst reservoir based on spectrum decomposition and machine learning

Disclosed is a magnetotelluric inversion method based on a fully convolutional neural network. The magnetotelluric inversion method includes: constructing a multi-dimensional geoelectric model; constructing a fully convolutional neural network structure model to obtain initialized fully convolutional neural network model parameters; training and testing the fully convolutional neural network structure model based on the training sets and the test sets to obtain optimized fully convolutional neural network structure model parameters; determining whether training of the fully convolutional neural network structure model is completed according to fitting error changes corresponding to the training sets and the test sets; and finally, inputting measured apparent resistivity into a trained fully convolutional neural network structure model for inversion, and further optimizing the fully convolutional neural network structure model by analyzing precision of an inversion result until an inversion fitting error satisfies a set error requirement.

Magnetotelluric inversion method based on fully convolutional neural network

The present invention relates to alternating stress fatigue testing equipment. The alternating stress fatigue testing equipment includes a pedestal on which linear guide rails are arranged; a deflection loading device which is arranged on the pedestal and configured to, in response to a clamped to-be-measured object being driven to slide to a first position, enable the to-be-measured object to be bent to a target degree and keep the to-be-measured object after the to-be-measured object is bent to the target degree, wherein the deflection loading device is rotatably connected to the to-be-measured object; two hinged shaft supports which are arranged on the linear guide rails, wherein the hinged shaft supports are symmetrically arranged about a longitudinal center line of the deflection loading device, connected to both ends of the to-be-measured object respectively, and configured to be adjusted obliquely to adapt to the bending of the to-be-measured object to the target degree.

Alternating stress fatigue testing equipment

The present disclosure provides a real-time correction method for an Oven Controlled Crystal (Xtal) Oscillator (OCXO) and an electromagnetic receiver. The real-time correction method for an OCXO includes: performing frequency multiplication on a reference clock signal to generate a first measurement signal and a second measurement signal; identifying a rising edge of each pulse per second on the basis of the first measurement signal to obtain a gate time T; obtaining a frequency of the second measurement signal according to the gate time T; and adjusting a frequency of the reference clock signal at least on the basis that an absolute value of a difference between two adjacent frequencies obtained of the second measurement signal is greater than a standard frequency difference.

Real-time correction method for oven controlled crystal oscillator and electromagnetic receiver

Disclosed is an ocean bottom electromagnetic acquisition station communication apparatus and method. The ocean bottom electromagnetic acquisition station communication apparatus includes: ocean bottom electromagnetic acquisition stations () for acquiring ocean bottom electromagnetic information; a control terminal () for sending control signals; and a relay timing module () connected to the ocean bottom electromagnetic acquisition stations () and the control terminal () and used for processing the ocean bottom electromagnetic acquisition stations () on the basis of the control signals before placement. The ocean bottom electromagnetic acquisition station communication apparatus in the present disclosure has a simple structure, and a plurality of ocean bottom electromagnetic acquisition stations () are controlled by means of the relay timing module () between the control terminal () and the ocean bottom electromagnetic acquisition stations (), such that structures of the ocean bottom electromagnetic acquisition stations () are simplified.

Ocean bottom electromagnetic acquisition station communication apparatus and method

The present invention belongs to the field of treatment for data identification and recording carriers, and specifically relates to a method and system for evaluating the filling characteristics of a deep paleokarst reservoir through well-to-seismic integration, which aims to solve the problems that by adopting the existing petroleum exploration technology, the reservoir with fast lateral change cannot be predicted, and the development characteristics of a carbonate cave type reservoir in a large-scale complex basin cannot be identified. The method comprises: acquiring data of standardized logging curves; obtaining a high-precision 3D seismic amplitude data body by mixed-phase wavelet estimation and maximum posteriori deconvolution and enhancing diffusion filtering. According to the method and the system, the effect of identifying the development characteristics of the carbonate karst cave type reservoir in the large-scale complex basin can be achieved, and the characterization precision is improved.

Method and system for evaluating filling characteristics of deep paleokarst reservoir through well-to-seismic integration

The present invention discloses a device for performing temperature correction on an induction logging tool and deep stratum environmental simulation, including: a box body, configured to accommodate the induction logging tool and a deep stratum environmental simulation system; an air channel, configured to make heated air fill the box body; a circulating fan, configured to make the heated air enter the air channel; an electric heater, configured to heat air; a temperature controller, configured to control power of the electric heater; the deep stratum environmental simulation system, configured to simulate lithological and fluid situations in different stratum environments; a data collection system, configured to collect, store, process, and display a signal in real time; and a control unit, configured to control operation of the entire device. The device for performing temperature correction on an induction logging tool and deep stratum environmental simulation provided in the embodiments of the present invention can accurately simulate a complex environment of a deep stratum, thereby increasing measurement precision.

Device for performing temperature correction on induction logging tool and deep stratum environmental simulation

The present disclosure provides an earthquake evaluation method based on multi-type geophysical data. The method includes: acquiring natural seismic data about intraplate earthquakes that had occurred, surface elevation data, Bouguer gravity anomaly data, aeromagnetic anomaly data, seismic wave tomography, crustal GPS movement rate and focal mechanism solution in a target region; constructing planar grids of the target region, and respectively performing plane gridding processing on the natural seismic data about the intraplate earthquakes that had occurred, the surface elevation data, the Bouguer gravity anomaly data, and the aeromagnetic anomaly data based on the constructed planar grids of the target region; determining a plane distribution map of a meizoseismal area in the target region based on the data subjected to the plane gridding processing; and superimposing a surface elevation map and the plane distribution map of the meizoseismal area in the target region with the seismic wave tomography, and analyzing the crustal movement on both sides of the meizoseismal area and the matching relationship between the meizoseismal area and the crustal geological structure in combination with the crustal GPS movement rate and the focal mechanism solution so as to determine the geologic origin of a pleistoseismic zone.

Earthquake evaluation method based on multi-type geophysical data

Disclosed is a downhole vibration and impact data recording method, comprising: performing analog-to-digital conversion on analog data, outputting digital format data obtained at a sampling rate f, and performing sampling storage processing and analysis storage processing on the same. The sampling storage processing includes outputting the digital format data obtained at a sampling rate fn through multiple samplings; storing the same continuously into a storage module. The analysis storage processing includes: buffering the digital format data obtained at the sampling rate finto a memory; analyzing the same to determine whether an impact event occurs, and if yes, storing the current data in the memory into the storage module, and then jumping back to the buffering step; otherwise, jumping directly back to the buffering step. With the above method, the amount of data storage can be effectively reduced, while the characteristics of the vibration and impact data can be analyzed.

Downhole vibration and impact data recording method

A WEM-based method for deep resource detection using sky waves refers to the technical field of deep resource detection. The proposed method of deep detection using sky waves improves the traditional 'atmospheric-lithosphere' half-space propagation theory into a full-space 'sky wave' theory of &#x201c;ionosphere-atmosphere-rock layer&#x201d;, that is, the influence of the ionosphere and the displacement current in the air are taken into consideration to obtain a new precise expression of &#x201c;sky wave&#x201d; response, which is suitable for full space, slow attenuation and long distance propagation. A receiving device for sky wave signal has been developed. Through theoretical model calculation and actual data measurement, it is known that it is possible to use the sky wave for detection within the scope of China's national territory to realize the high-precision electrical structural exploration within a depth of 10 kilometers and open a new era of artificial source electromagnetic detection.

WEM-based method for deep resource detection using sky waves

Disclosed is a magnetotelluric measurement system, comprising: a magnetic sensor probe for collecting an electromagnetic signal as an impulse response of an earth and transmitting the same to a signal readout circuit; the signal readout circuit configured for receiving and amplifying the electromagnetic signal collected by the magnetic sensor probe; a data acquisition and processing module configured for receiving and processing electromagnetic signal amplified by the signal readout circuit; a storage module configured for storing the electromagnetic signals amplified by the signal readout circuit and processed by the data acquisition and processing module; a first casing for enclosing the magnetic sensor probe and the signal readout circuit; and a second casing for enclosing the data acquisition and processing module and the storage module. The disclosure realizes the detection of low-noise wide-frequency band magnetic field signal, and solves problems involving deep detection of the mineral resources in complex areas.

Growing community of inventors

Beijing, China

Zhongxing Wang