新疆大学学报（自然科学版中英文）2025，Vol.42Issue(3)：257-268,12.DOI:10.13568/j.cnki.651094.651316.2024.12.27.0002
从储层物性到叠前叠后地震数据的分步正演模拟方法与油气识别
A Step-by-Step Forward Modeling Approach for Bridging Reservoir Properties to Pre-Stack and Post-Stack Seismic Data in Hydrocarbon Identification
摘要
Abstract
Forward modeling methods for seismic data are crucial for revealing the lithology and fluid-bearing characteristics of underground formations,but directly correlating microscopic reservoir physical properties with macroscopic seismic data is extremely challenging.By introducing elastic parameters as a bridge and combining rock physics theory,a successful connection between microscopic reservoir parameters and macroscopic seismic data has been established.Based on this,a step-by-step forward modeling method from reservoir physical properties to seismic Amplitude Versus Offset(AVO)data was developed using Python scripting.Through case studies of a post-stack wedge model and a pre-stack three-layer cake model,the thin-layer tuning effect and the differences between the convolution results of the AVO gather and the theoretical results of the exact Zoeppritz equation were analyzed.The results show that high-porosity reservoirs exhibit more significant responses on pre-stack AVO gathers than low-porosity reservoirs,with AVO intercepts being 4.1 times higher and slopes being 4.6 times steeper,which facilitates oil-water identification.Furthermore,amplitude responses are stronger for natural gas reservoirs compared to liquid oil reservoirs,with AVO intercepts being 32.9％higher and slopes being 8.3％steeper,making natural gas identification more accurate.关键词
油藏地球物理/地震正演/储层物性/油气识别Key words
reservoir geophysics/seismic forward modeling/reservoir physical properties/oil and gas identification分类
天文与地球科学引用本文复制引用
李胜阁,张季,耶合亚·扎依尔,刘桂萍,程远锋..从储层物性到叠前叠后地震数据的分步正演模拟方法与油气识别[J].新疆大学学报（自然科学版中英文）,2025,42(3):257-268,12.基金项目
新疆维吾尔自治区自然科学基金面上项目"基于物理数据双驱的油气薄储层智能地震预测方法"(2022D01C422). （2022D01C422）
