Fluid bulk modulus parameter extraction method, fluid identification method, device, and medium

By combining seismic and well logging data and optimizing the inverted fluid bulk modulus parameters, the problem of low resolution in conventional inversion methods was solved, enabling high-precision fluid identification of thin layers and thin interlayers, and improving the drilling encounter rate and thickness matching rate.

CN117111149BActive Publication Date: 2026-06-26CHINA PETROLEUM & CHEMICAL CORP +1
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
CHINA PETROLEUM & CHEMICAL CORP
Filing Date
2023-08-24
Publication Date
2026-06-26

AI Technical Summary

Technical Problem

The conventional inversion methods in the existing technology have low resolution and cannot meet the requirements of fine fluid characterization, resulting in a decrease in the reliability of fluid identification, especially in thin layers and thin interlayers where artifacts exist.

Method used

By determining the effective incident angle range of seismic data, dividing the angle intervals and performing multi-scale filtering, and combining the elastic impedance curves of well logging data for inversion, a standardized elastic impedance equation is constructed. The inversion results are then optimized using Markov chain Monte Carlo stochastic simulation to extract fluid bulk modulus parameters.

Benefits of technology

It improves the resolution of the elastic impedance data volume, reduces artifacts in fluid identification, and improves identification accuracy and reliability, especially in thin layers and thin interlayers, thereby increasing the drilling rate and thickness matching rate.

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Abstract

The application provides a fluid bulk modulus parameter extraction method, a fluid identification method, equipment and a medium, wherein the parameter extraction method comprises the following steps: dividing a seismic gather into at least three angle intervals, selecting a typical angle for each interval, and obtaining a corresponding partial stack for each interval; obtaining an elastic impedance curve and a curve of K f , f m and p for each typical angle from well logging data; performing elastic impedance inversion on the elastic impedance curve and the partial stack to obtain elastic impedance data of the typical angle; extracting wellside elastic impedance data from the corresponding elastic impedance data body by well logging; constructing a calculation relationship by using the curve of K f , f m and p and the elastic impedance curve of each typical angle, and bringing the curve of K f , f m and p and the wellside elastic impedance data into the calculation relationship to extract fluid bulk modulus. The technical scheme of the application can improve the resolution of the elastic impedance data body, reduce fluid identification artifacts, and improve the drilling rate of fluid inversion.
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