Chinese Academy of Sciences

Yongyou Yang

Yang Liu

Qingyun Di

Wenxiu Zhang

Wenxuan Chen

Jian Zheng

Yuntao Sun

Fei Tian

Wenhao Zheng

Qijun Xie

Zhongxing Wang

Qingbo Liu

Wenjing Cao

Zili Wang

Xinzhen He

Linfeng Hong

Jiansheng Du

Renzhong Pei

Tianxin Zhang

Jiangyun Zhang

Xiangyang Wang

Tsili Wang

Jingjing Wang

Jianguang Liu

Yujie Yang

Changchun Yang

Binbin Chen

Changqian Cao

Shujun Wu

Guangjun Guo

Shuangchi Liu

The present invention is in the field of geological measurement, and particularly relates to a method and system for intelligent removal of multi-dimensional logging data outliers, aiming to solve the problem that it is difficult to achieve stable parameter acquisition in the drilling process when there are more outliers in the prior art. The present invention comprises: acquiring a multi-dimensional logging curve; obtaining two-dimensional logging curve data by using the Umap dimensionality reduction algorithm to perform dimensionality reduction; establishing a first data point index of the multi-dimensional logging curve and the two-dimensional logging curve data; obtaining valid logging data by processing outliers with an isolation forest algorithm based on the two-dimensional logging curve data; acquiring a second data point index based on the first data point index and valid logging data; finding marked data points where the second data point index exists in the multi-dimensional logging curve data.

Method and system for intelligent removal of multi-dimensional logging data outliers

The present invention belongs to the technical field of geological exploration deep Earth. The system of the present invention is configured to: collect seismic data, and preprocess original seismic data to obtain standardized gamma ray logging parameters; extract features from the standardized gamma ray logging parameters to obtain a variance attribute curve while drilling; obtaining a formation thickness prediction model of each set based on the variance attribute curve while drilling; acquire frequency-division seismic data based on the standardized seismic data by means of a frequency-division processing method based on wavelet transform; acquire optimal seismic frequency band information based on a predicted formation thickness value of each set; establish a geological prediction model of the current formation based on the frequency-division seismic data, the optimal seismic frequency band information, historical gamma ray logging parameters and the standardized gamma ray logging parameters.

System for updating clastic rock lithology model by well-to-seismic integration with deep earth oil and gas precision navigation

A sand shale formation lithology evaluation method and system for precise deep oil and gas navigation aims to solve the problem in the prior art, that is, the accuracy of the logging-while-drilling (LWD) azimuthal resistivity is insufficient due to an equipment or technology deficiency. The method includes: acquiring density distribution data, gamma distribution data, and resistivity distribution data of a target location; amplifying the data to acquire amplified logging distribution data; clustering the data to acquire clustered logging data; adding stratigraphic information to the clustered data; performing dimensionality reduction by a principal component analysis (PCA) method, and taking dimensionality-reduced data as a weight of azimuthal logging data to acquire an LWD feature dataset; predicting missing LWD photoelectric data through the LWD feature dataset; and acquiring a formation lithology evaluation result based on an LWD photoelectric data prediction curve. The method and system improves the accuracy of LWD lithology evaluation.

Sand shale formation lithology evaluation method and system for precise deep oil and gas navigation

A sand shale formation physical property evaluation method and system for precise deep oil and gas navigation aims to solve the problem that the prior art cannot acquire a real-time and accurate logging-while-drilling (LWD) Rt curve. The method includes: acquiring basic data of a target well location as well as basic data and an LWD resistivity (Rt) of an adjacent well; dividing the data into different groups; retaining data with a maximum correlation value with the LWD Rt in each group of data; eliminating outliers, and performing standardization; constructing a two-dimensional input feature map by taking the correlation value and standardized data as a weight; acquiring an LWD Rt prediction curve based on the two-dimensional input feature map; calculating a hydrocarbon parameter in a window based on the LWD Rt prediction curve; and locating an area with a high hydrocarbon potential based on the hydrocarbon parameter at each position.

Sand shale formation physical property evaluation method and system for precise deep oil and gas navigation

The present invention is in the field of geological exploration and particularly relates to a method and system for gamma ray (GR) while drilling parameter data optimization for deep-filed oil and gas precise navigation, aiming to solve the problem of insufficient measurement accuracy of the depth of a well in the existing drilling technology. The present invention comprises: eliminating outliers from the obtained GR while drilling parameter data and determining the rationality of the eliminated outlier; performing derivation on a real-time updated variance attribute while drilling curve to obtain a real-time updated formation change-point detection result; searching the formation change-point detection result of a pre-drilling predicted well curve; and correcting the drilling depth by comparing the two formation change-point detection results to obtain the accurate depth while drilling.

Method and system for GR LWD curve optimization for deep-field oil and gas precise navigation

The present invention belongs to the field of deep navigation, and in particular to a high-precision modeling method and system of three-dimensional velocity field for precise navigation of deep oil and gas. The present invention includes: extracting wave impedance characteristics based on standardized well logging data to obtain a wave impedance curve; acquiring a velocity vector of each location at current depth, to obtain a one-dimensional velocity curve; based on the one-dimensional velocity curve, training a velocity value prediction model based on wave impedance at the current depth; performing wave impedance inversion based on the wave impedance curve at the current depth to obtain a wave impedance inversion data volume; and based on the wave impedance inversion data volume, through the velocity value prediction model based on wave impedance at the current depth, acquiring a three-dimensional high-accuracy velocity volume.

High-precison modeling method and system of three-dimensional velocity field for precise navigation of deep oil and gas

The present invention belongs to the field of geologic survey, and particularly relates to a real-time calibration method and system of acoustic logging data while drilling for precise navigation of deep oil and gas, aiming to solve a problem of inability to automatically identify stratum boundaries to adapt to geology at various different depths in an existing drilling process. The method of the present invention includes: acquiring standardized acoustic parameter data while drilling; acquiring time-depth relationship of historical acoustic curve data of drilled wells, and current actual drilling time-depth relationship; performing interpolation based on the current actual drilling time-depth relationship, to acquire interpolated current actual drilling time-depth relationship; correcting the interpolated current actual drilling time-depth relationship; and completing current precise depth correction based on the current actual drilling acoustic curve.

Real-time calibration method and system of acoustic logging data while drilling for precise navigation of deep oil and gas

A precise deep oil and gas navigation system based on structural evaluation of a sand/shale formation, and a device are provided. The precise deep oil and gas navigation system is implemented by: acquiring basic data of a target well location as well as basic data and an acoustic LWD curve of an adjacent well; dividing a basic data group; retaining extremely strongly correlated data and strongly correlated data of the basic data group, and performing dimensionality reduction; constructing a three-dimensional fusion feature data volume based on a dimensionality-reduced fusion feature parameter and a time-frequency spectrum; predicting a missing curve according to the three-dimensional fusion feature data volume; and correcting a stratigraphic structure model based on the missing curve to guide the design of a drilling trajectory.

Precise deep oil and gas navigation system based on structural evaluation of sand/shale formation, and device

The present disclosure relates to a method and a system for updating a three-dimensional lithology model for precision navigation of deep oil and gas in real time, aiming to solve the problem that an existing while drilling model is difficult to adapt to a real-time update of the model in a strong heterogeneous reservoir, which leads to a decrease in accuracy of an established prediction model and a lack of a drilling ratio. The present disclosure includes: dividing pre-processed seismic data into three pieces of single-frequency seismic waveform data by a wavelet frequency division method; selecting an optimal single-frequency combination according to a correlation coefficient between gamma ray prediction curves and measured curves at different depths; and computing a single-frequency gamma ray prediction model while drilling, updated with drilling, and a full-band gamma ray distribution model while drilling, updated with drilling, by means of the optimal single-frequency combination.

Method and system for updating three-dimensional lithology model for precision navigation of deep oil and gas in real time

A magnetofluid enhanced electromagnetic heating device and method for preventing and treating secondary hydrates around a well are provided. When exploiting natural gas hydrates by depressurization, secondary hydrates or ice can form due to the decreasing temperature around the well, so that gas migration in sediment is blocked, and the gas production is reduced. According to this disclosure, a coil is arranged outside a casing pipe to generate an alternating electromagnetic field radiated to sediment. As a result, magnetite nanoparticles naturally contained in the sediment generate magnetothermal effect to heat the sediment. Additionally, the magnetofluid containing the ferromagnetic nanoparticles can be injected together with fracturing fluid during hydraulic fracturing of the reservoir, so that the magnetothermal effect of the sediment is further enhanced. Thus, secondary hydrates or ice can be prevented from forming around the well so that the exploitation efficiency of natural gas hydrates is improved.

Magnetofluid enhanced electromagnetic heating device and method for preventing and treating secondary hydrates around well

The present invention belongs to the field of geological exploration and specifically relates to the fault characterization method and system for precise navigation of deep oil and gas based on image fusion, aiming to solve the problem that faults in deep formations are difficult to characterize with conventional seismic interpretation methods. The present invention includes: obtaining amplitude gradient images by calculating amplitude gradient vectors; calculating dip attribute images based on the enhanced seismic data; fusing gradient amplitude attribute fault confidence region with dip angle attribute data volume that defines the fault position through a hierarchical wavelet transform method to obtain a superimposed fault attribute map; dividing bead-like structures based on superimposed fault attribute maps; calculating the score of branch fault data points based on the center point position of bead-like structures, and dividing and analyzing the dominant fault areas.

Fault characterization method and system for precise navigation of deep oil and gas based on image fusion

Disclosed is a signal processing circuit, a contactless connector, a signal processing method and a storage medium. One end of a cable of the signal processing circuit can be connected to a device and the other end of the cable of the signal processing circuit is connected to a port processing unit for receiving a signal transmitted by the device and/or transmitting a signal to the device; one end of the port processing unit is connected to the cable, and the other end of the port processing unit is connected to a signal processing unit for acquiring a data communication transmission mode of a port of the device connected to a connector, and performing interface configuration on the cable according to the data communication transmission mode; and the signal processing unit is connected to the main coil or the secondary coil, and is configured to, if receiving the signal transmitted by the device, transmit the signal to the main coil and/or the secondary coil, and/or is configured to, if receiving the signal transmitted by the main coil and/or the secondary coil, transmit the signal to the device according to the data communication transmission mode. According to the present application, the contactless connector adapts to different transmission protocols of the device port while remote wireless signal transmission is realized.

Signal processing circuit, contactless connector, signal processing method and storage medium

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 contactless connector, a signal processing method and a storage medium. The contactless connector can be in communication connection to a plug matched with the contactless connector. The plug is provided with a second magnetic core and a second coil, and the second coil is spirally arranged at the periphery of the second magnetic core and forms a secondary coil with the second magnetic core. The contactless connector includes: at least two plug interfaces, each of the plug interfaces including a first magnetic core; and a first coil, spirally arranged at an inner periphery of the first magnetic core of each of the plug interfaces and forming a main coil with the first magnetic core. When the contactless connector and a plurality of plugs are connected through at least two plug interfaces, the main coil and the secondary coil are electromagnetically coupled to realize communication connection between the contactless connector and the plurality of plugs. According to the present application, it can be achieved that the wiring difficulty between devices may be reduced while the service life of the connector is ensured.

Growing community of inventors

Beijing, China

Yongyou Yang