石油地球物理勘探2025，Vol.60Issue(3)：783-793,11.DOI:10.13810/j.cnki.issn.1000-7210.20230001
基于测井的正演模拟分析与复杂岩性划分
Forward modeling analysis and complex lithology classification based on well logging data
徐大维 1李琼 2陈子杰 1何建军3
作者信息
- 1. 成都理工大学地球物理学院,四川 成都 610059
- 2. 成都理工大学地球物理学院,四川 成都 610059||地球勘探与信息技术教育部重点实验室（成都理工大学）,四川 成都 610059
- 3. 成都理工大学计算机与网络安全学院,四川 成都 610059
- 折叠
摘要
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.关键词
蚌湖向斜/K-均值算法/正演模拟/自然伽玛/岩性划分Key words
Banghu Syncline/K-means algorithm/forward modeling/gamma/lithology classification分类
天文与地球科学引用本文复制引用
徐大维,李琼,陈子杰,何建军..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):783-793,11.
