Rotational flow rotation deoiling method and device for oil-based mud rock debris

    公开(公告)号:US12017937B2

    公开(公告)日:2024-06-25

    申请号:US17275234

    申请日:2018-12-05

    CPC classification number: C02F11/127 E21B21/063 C02F11/13

    Abstract: Disclosed is a rotational flow rotation deoiling method for oil-based mud rock debris. The method comprises the following steps: (1) System viscosity control, wherein by means of heat exchange between a gas medium and the rock debris, the viscosity of the oil-based mud debris is reduced to reduce the interaction force between oil, water, and the surface and channels of solid particles, thereby facilitating the separation in a rotational flow field; (2) Rotational flow rotation deoiling, wherein the oil-based mud rock debris particles undergo a coupled motion of rotation and revolution, wherein by means of the rotation of the rock debris particles, the centrifugal desorption of oil on the surface of a solid phase, oil in capillaries and oil in pores is enhanced; and by means of the centrifugal force of periodic oscillation generated by the revolution thereof, the separation and enrichment of oil and gas and the solid phase are completed, thereby achieving the removal of the oil phase from the pore channels of the rock debris; and (3) gas-liquid separation and reuse, wherein an oil-containing mixture produced in step (2) is subjected to gas-liquid separation so as to realize the reuse of a base oil, circulation of the gas medium, and a harmless treatment of the rock debris; and a rotational flow rotation deoiling device for oil-based mud rock debris is further comprised.

    Solid-state nuclear magnetic resonance (ssNMR) method for detecting hydrogen bond structure

    公开(公告)号:US11971376B2

    公开(公告)日:2024-04-30

    申请号:US17951411

    申请日:2022-09-23

    CPC classification number: G01N24/087

    Abstract: An experimental technology for detecting a hydrogen bond based on an ssNMR technology includes: (1) exciting a 1H nucleus of an RNA sample with a π/2 pulse; (2) applying two π pulses every half rotation period on an X nucleus of the RNA sample; (3) applying a π pulse on the 1H nucleus of the RNA sample; (4) applying two π pulses every half rotation period on the X nucleus of the RNA sample; (5) applying a 90° pulse on 1H and X atoms of the RNA sample; r a chemical shift of X in indirect dimension; (7) applying the 90° pulse on the 1H and X nuclei of the RNA sample; (8) repeating steps 2, 3, and 4; and (9) collecting the 1H signal in direct dimension; where X is selected from the group consisting of 15N and 13C.

    MACHINE VISION-BASED AUTOMATIC FOCUSING AND AUTOMATIC CENTERING METHOD AND SYSTEM

    公开(公告)号:US20240062988A1

    公开(公告)日:2024-02-22

    申请号:US17976344

    申请日:2022-10-28

    CPC classification number: H01J37/21 G06T7/70 H01J37/20

    Abstract: The present disclosure provides a machine vision-based automatic focusing and automatic centering method and system, which belongs to the technical field of machine vision-based automatic control. An object stage is controlled to move in an imaging distance range of an electron microscope, and images scanned by the electron microscope when the object stage is at different imaging distances are acquired. The image definition of an object stage image is calculated according to a gray-scale value of each pixel in the object stage image, the imaging position when an image definition value is the maximum is determined, and the object stage is controlled to move to the position, so as to realize machine vision-based accurate focusing. After the accurate focusing is completed, the images that can clearly reflect the arrangement relationship between an indenter and a sample on the object stage are acquired by the electron microscope, and a midline of an indenter area and a midline of a sample area are aligned, so as to realize machine vision-based accurate centering, which avoids the problems of low efficiency and poor accuracy in manual focusing and centering, and improves the focusing and centering efficiency.

    TIME-DEPENDENT LOCAL STRESS-STRAIN METHOD AND TOOL SOFTWARE FOR HIGH-TEMPERATURE STRUCTURAL STRENGTH AND SERVICE LIFE ANALYSIS

    公开(公告)号:US20230384193A1

    公开(公告)日:2023-11-30

    申请号:US18031318

    申请日:2020-10-13

    CPC classification number: G01N3/066

    Abstract: The application discloses a time-dependent local stress-strain method for high-temperature structural strength and service life analysis. The method is aimed at a load component under high-temperature conditions, and the load component has a structural discontinuity area. The method includes: a step for obtaining working conditions, a step for obtaining material parameters, an elastoplasticity analysis step, a limit analysis step, an elasticity analysis step, a boundary condition setting step, an iterative operation step, and a result integration step. The application also discloses time-dependent local stress-strain tool software for high-temperature structural strength and service life analysis. The tool software includes: a parameter acquisition assembly, a finite element modeling and operation assembly, an iterative operation assembly, and a result display assembly.

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