Chinese Academy of Sciences

Changchun Yang

Zongwei Li

Jing Liu

Kedu Han

Wenxiu Zhang

Fei Tian

Xu Xue

Yongjian Zhou

Qingyun Di

Jian Nan Guo

Yongyou Yang

Wenxuan Chen

Jian Zheng

Yuntao Sun

Naigui Liu

Yang Dong

Fangfang Feng

Xiaoxiao Zhang

Shanhui Xu

Guangding Liu

Muming Xia

Canyun Wang

Xingyin Xiong

The present disclosure relates to the technical field of acoustic detection while drilling, in particular to a method and a device for identifying near-bit lithology based on intelligent voiceprint identification, including acquiring rock sound data; pre-processing the acquired rock sound data; extracting voiceprint features of pretreated rock sounds; establishing a rock voiceprint feature database; training the intelligent voiceprint identification algorithms according to the lithology labels and voiceprint feature data in the rock voiceprint feature database; intelligently identifying or predicting the rock voiceprint features using the intelligent voiceprint identification algorithms and outputting the lithology identification results. The present disclosure can greatly enhance the real-time availability and accuracy of obtaining near-bit stratum lithology data in-site, which can effectively improve the reservoir drilling rate and timely avoid drilling risks.

Method and device for identifying near-bit lithology based on intelligent voiceprint identification

The present disclosure belongs to the field of geological exploration, and particularly relates to a seismic acquisition system based on a frequency domain expansion MEMS sensor, aiming at solving the problem that vibration frequencies exceed the frequency range of the MEMS sensor due to strong vibrations and cross coupling of multi-frequency signals usually occurring in well logging while drilling. When the MEMS sensor suffers strong vibrations or the MEMS sensor that can be selected cannot ensure that the frequency requirement of a measurement signal is stably met, the frequency domain expander of the present disclosure expands the frequency domain of a detection signal, so that the MEMS sensor can measure strong vibrations and out-of-band frequencies to a certain extent, the application range of the seismic acquisition system is extended, and the anti-mutation capability of the seismic acquisition system is improved.

Seismic acquisition system based on frequency domain expansion mems sensor

The present disclosure belongs to the field of geological exploration, and particularly relates to a seismic acquisition system and a sensor based on an MEMS sensor with low power consumption, so as to solve the problem that the existing seismic wave acquisition technology cannot balance high accuracy and low power consumption when the MEMS sensor is used. The present disclosure comprises: the MEMS sensor is used for receiving seismic wave signals and outputting MEMS sensor electrical signals; a common-mode voltage adjustment module is used for adjusting the MEMS sensor signals to be within the input range of common-mode voltage of a readout circuit, so as to obtain low voltage MEMS sensor signals. In the present disclosure, high voltage ensures the detection accuracy of the MEMS sensor; and low voltage is supplied to the readout circuit, thereby reducing the power consumption of the overall seismic acquisition system.

Seismic acquisition system and sensor based on MEMS sensor with low power consumption

The invention discloses a MEMS sensor detection device and a MEMS sensor system, wherein the MEMS sensor detection device comprises: a readout circuit used for analog signal processing of the output signal of the MEMS sensor to generate detection voltage; a cancellation voltage generation circuit used for generating a gravity cancellation voltage according to the detection voltage, wherein the gravity cancellation voltage and the gravity acceleration are in a positive proportional relationship; a selection circuit used for selecting the detection voltage output in a feedback phase and selecting the gravity cancellation voltage output in a gravity cancellation phase, wherein in one detection period, the feedback phase is located after the gravity cancellation phase; and a feedback circuit used for generating a feedback voltage according to the output voltage of the selection circuit, wherein the feedback voltage is in a positive proportional relationship with the output voltage of the selection circuit. The MEMS sensor detection device and the MEMS sensor system disclosed by the invention can cancel the influence of gravity acceleration and improve the sensitivity of the MEMS sensor system.

MEMS sensor detection device and MEMS sensor system

A gyro measurement while drilling system, which includes a strapdown inertial unit, a filtering and level conversion module, a data acquisition and data communication module, a driving mechanism, a driving control module and a navigation computer. A gyro measurement while drilling method, which is used in the measurement while drilling system and includes one or a combination of the following methods: a full parameter variable compensation method, an initial alignment algorithm and a continuous measurement while drilling method. The system and method of the present disclosure can meet the most demanding application scenarios in the field of petroleum drilling measurement, i.e., measurement while drilling (MWD), and are compatible with other scenarios, such as wireline measurement, gyro steerable measurement and other application fields; the system and method also solve the problems of environmental adaptability, bias repeatability and bias error of a gyroscope in a high-temperature and vibration environment, and solve the technical problems of an inertial instrument in a deep steerable drilling application scenario from the perspective of systems.

Gyro measurement while drilling system and method therefor

The disclosure relates to the field of drilling tool attitude measurement, and particularly to a dynamic testing device suitable for a drilling tool attitude measurement module. The dynamic testing device may comprise a test fixture for attitude measurement module, an azimuth rotation device for adjusting an azimuth angle, an inclination angle swing device for adjusting an inclination angle, and a toolface angle rotation device for driving the test fixture for attitude measurement module to rotate, and a rotation speed measurement device for measuring a rotation speed and a self-rotation angle of the test fixture for attitude measurement module in a rotating state. The testing device has characteristics of large bearing weight, high rotation speed which is measurable and controllable, convenient for mounting and fixing a tested module, etc. It can simulate conditions of downhole rotation of a drilling tool, and be used for dynamic testing of the attitude measurement module.

Dynamic testing device suitable for drilling tool attitude measurement module

The present invention discloses a system-level packaging method and packaging system based on 3D printing. The packaging method includes the following steps: providing a carrier; printing a first packaging substrate on the surface of the carrier by using a 3D printing method, wherein metal wires are disposed on the first packaging substrate; fixing a first component to the first packaging substrate, and electrically connecting the first component to the first packaging substrate; continuing to print a second packaging substrate on the surface of the first packaging substrate by using the 3D printing method, wherein metal wires are disposed on the second packaging substrate, and the second packaging substrate has an electrical connection with the first packaging substrate; fixing a second component to the second packaging substrate, and electrically connecting the second component to the second packaging substrate; repeating the above steps to form a multilayer system-level packaging structure in which all components are embedded; and printing a packaging cover plate by using the 3D printing method. The packaging method has the advantages of simple process, low cost, less pollution, high efficiency and high reliability, and meets the requirements of system-level packaging.

System-level packaging method and packaging system based on 3D printing

The invention relates to the technical field of oilfield exploration and development, and particularly relates to a method for characterizing the rock physical characteristics of deeply buried carbonate rocks, comprising the following steps: determining a rock type of a rock thin section by identifying the surface structure characteristics of the rock thin section corresponding to a core plunger sample; performing a normal pressure nuclear magnetic resonance test and rock physical characteristic tests on the core plunger sample; establishing an identification plate, a first relation, a second relation and a third relation; characterizing the rock physical characteristics of a target rock sample under normal pressure and its buried depth according to the normal pressure nuclear magnetic resonance test result and the overburden pressure nuclear magnetic resonance test result of the target rock sample respectively.

Method for characterizing rock physical characteristics of deeply buried carbonate rocks

An efficient adaptive seismic data flow lossless compression and decompression method, which aims at solving the problem that data occupies the storage space and affects the transmission efficiency and is used for efficiently compressing geophysical instrument data, particularly seismic data after 24-bit analog-to-digital conversion. In the method, a data flow is compressed in a lossless mode in real time, and sampling data is adaptively compressed into 1 byte or 2 bytes or 3 bytes from original 24 bits and 3 bytes in a coding manner. Besides the foregoing data ranges, other integers that can be expressed by other 24-bit integer data with symbols are required to be expressed by 4 bytes after being operated through a compression algorithm. The method has the advantages of saving a large amount of storage space and remarkably increasing the data transmission efficiency.

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Beijing, China

Changchun Yang