4 results about "Surface velocity" patented technology

The invention discloses a geological constraint velocity depth modeling method and device based on VSP velocity. According to the technical scheme, the method comprises the steps that first arrival pickup time, micro-logging data and logging data of a target work area are collected; performing micro-logging constraint step-by-step near-surface velocity inversion based on the first arrival pickup time and the micro-logging data to obtain a near-surface velocity model; establishing an initial velocity model of geological constraint based on VSP velocity based on the logging data; establishing a full-depth TTI anisotropic parameter model; and performing optimization based on the initial velocity model and the full-depth TTI anisotropy parameter model to obtain a geological constraint velocity depth model based on the VSP velocity. According to the technical scheme of the embodiment of the invention, the initial velocity model precision and the velocity depth model precision can be improved, the mountain front zone structure is accurately imaged, and the oil exploration risk is reduced.

The invention relates to a device (7) for measuring the surface velocity of a fluid (10) flowing in a confined space such as through a pipe or a channel (12), said device (7) comprising a patch antenna (1) with a transmitting area (1a) generating a microwave signal and a receiving area (1b) receiving the microwave signal reflected on the surface of the fluid (10), the device (7) being characterized in that it comprises an electrically conductive tube (8), called reflector tube, with at least the transmitting area (1a) of the patch antenna (1) mounted at one end (8a) of the reflector tube (8) to reduce the side lobes of the generated microwave signal. The invention also relates to the non-invasive method for measuring the surface velocity of the fluid using said device (7).

This invention belongs to the field of hydrological measurement technology and provides a method for calculating flow rate using surface velocity in edge computing devices. The method includes the following steps: S1, importing and storing a water level stratification velocity conversion parameter table into the edge computing device; S2, collecting real-time water level and real-time surface velocity, and calculating the cross-sectional water-passing area; S3, querying the water level stratification velocity conversion parameter table to obtain characteristic water levels, and reading the corresponding vertical lines and velocity conversion coefficients; S4, calculating the average velocity of the corresponding vertical lines based on the velocity conversion coefficients and real-time surface velocity, and calculating the average velocity of the river channel; S5, calculating the real-time flow rate of the river channel based on the average flow rate and the cross-sectional water-passing area. This invention is applicable to low-power edge computing devices in the field and can improve the accuracy of flow measurement in emergency river conditions.

This invention discloses a single-station UHF radar method for inverting surface velocity at river cross sections based on RAMPJI. The method includes acquiring radar echo data, dividing the observed flow field area into multiple equally spaced intervals according to the cross-sectional direction, estimating the main flow direction, back-projecting each radial velocity component to the main flow direction to construct a candidate set of velocity values ​​and eliminate outliers, then introducing a weighted fusion mechanism for each radial velocity angle pair within each partition to obtain stable observation values, and employing a Top-K strategy to weightedly fuse effective angle pairs to achieve cross-sectional surface velocity inversion. This invention achieves effective fusion of multi-angle radial velocity observation information and inversion of cross-sectional surface velocity. It can stably invert cross-sectional surface velocity under different environmental noise, different flow direction offsets, and missing measurement conditions. It maintains high inversion accuracy and spatial continuity in complex river environments, and its cross-sectional surface velocity results show good consistency with the velocity values ​​measured by an Acoustic Doppler Current Profiler (ADCP).