Data-fusion-based reservoir bottom mud density detection method and system

Abstract

The invention discloses a data-fusion-based reservoir bottom mud density detection method and system. The system comprises a sampling device, a testing device and an analyzing device, wherein the sampling device is used for acquiring a bottom mud sample; the testing device is used for acquiring the relationship between the wave speed and depth of the bottom mud sample, the relationship between density and depth of the bottom mud sample, and the relationship between a reflection signal main frequency and the depth of the bottom mud sample; the analyzing device obtains the density of the bottom mud sample by analyzing and calculating the relationship between the density and the depth, the wave speed and the reflection signal main frequency; the testing device comprises a sub-bottom profiler, a transmitting transducer, a receiving transducer and a density testing instrument. The reservoir bottom ground layer reflection signal is recognized automatically by the method or the system provided by the invention; parameters of density and the like of a reservoir bottom ground layer are determined with combination of a low-disturbance sampling testing result, so that the bottom mud sampling is accurate, and the density detection is efficient.

Description

technical field [0001] The invention belongs to the technical field of reservoir bottom mud detection, in particular to a reservoir bottom mud density detection method and system based on data fusion. Background technique [0002] The identification of reservoir sediment characteristics involves a variety of detection methods, and the amount of data is large. If different detection and measurement results are combined and a certain data fusion method is used, the sediment characteristics can be better identified, manpower and material resources are saved, and the Quick and precise identification. [0003] At present, reservoir sediment detection methods include sediment sampling, acoustic detection, drilling and other methods. The sampling equipment used for reservoir sediment sampling includes grab type, box type, freezing type, gravity type and other sampling equipment. Underwater sediment acoustic wave detection equipment mainly includes: multi-beam bathymetry system, s...

AI Technical Summary

Problems solved by technology

Sampling equipment such as grab type, box type, freezing type, and gravity type mainly have two major problems: the problem of disturbance to the sample during sampling and the problem of sample leakage during sampling, which will lead to large deviations in the test results of the samples taken and cannot be well tested. Represents the true properties of the sediment

[0004] Shallow strata profilers are used for acoustic detection, which is suitable for a wide range of water depths and penetrates thick sediment in the reservoir area, but it can only generate reflected echoes when encountering the bottom (bottom) or obstacles. The echo information represents the The interface between objects in different media, but it is impossible to quantify the density data of the sediment at different positions, and it is impossible to use the acoustic wave information to calculate the density characteristics of the sediment

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