基于测井的正演模拟分析与复杂岩性划分

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中图分类号：P631 文献标识码：A DOI：10. 13810/j. cnki. issn. 1000-7210. 20230001

Abstract：The research object of oil and gas exploration is gradually shifting toward complex oil and gas reser⁃ voirs. The periphery of the Banghu Syncline in the Qianjiang Sag is a typical inland salt lake deposit. The com ⁃ plex thin sand and mudstone interbedded reservoir structure in the Qian⁃3 section of the Banghu Syncline area re⁃ quires high ⁃ precision and high ⁃ resolution exploration technology to support actual production. In view of this， the study conducts forward modeling analysis and complex lithology classification based on well logging data. First，it analyzes and calculates the lithological data based on the original logging data，analyzes the lithological characteristics of sandstones containing different fluids（water ⁃ bearing sandstones，oil⁃ bearing sandstones，and dry⁃layer sandstones），establishes different wedge forward models based on the convolution theory，and investi⁃ gates the seismic response characteristics of different lithological combinations. Then，lithology curves are re⁃ constructed using the K ⁃ means algorithm with known logging lithology data，and density attributes are used to correct natural gamma values for lithology classification. Finally，a geological model of the Eq43 oil formation is designed to study the effects of changes in reservoir thickness and fluid content on amplitude. Model analysis and the example demonstrate K ⁃means algorithm can effectively divide salt rock，sandstone，and gypsum mud⁃ stone with a prediction accuracy of 90.4% ，and the forward model based on high⁃resolution logging information is consistent with actual geological characteristics. Therefore，it is feasible to analyze the reflection characteris⁃ tics of salt rock and mudstone interbedded layers and thin sandstone layers by the forward model established through lithology curve reconstruction with logging data.

Keywords：Banghu Syncline，K⁃means algorithm，forward modeling，gamma，lithology classification徐大维，李琼，陈子杰，等 . 基于测井的正演模拟分析与复杂岩性划分［J］. 石油地球物理勘探，2025，60（3）

783‑793.

XU Dawei ，LI Qiong ，CHEN Zijie ，et al. Forward modeling analysis and complex lithology classification based on well logging data［J］. Oil Geophysical Prospecting，2025，60（3）：783‑793.

0 引言

江汉盆地是一个含盐陆相沉积盆地，含油气藏丰富，主要的含盐地层分布在江陵、潜江、小板和云梦凹陷，其中潜江凹陷位于江汉盆地中部，基底最深，沉降速度最快，含盐地层最为发育。（剩余11130字）