西南石油大学学报（自然科学版）2026，Vol.48Issue(3)：27-38,12.DOI:10.11885/j.issn.1674-5086.2025.03.14.01
应力场约束的多信息裂缝建模技术在页岩油开发中的应用
Application of Stress Field-constrained Multi-information Fracture Modeling Technology in the Development of Shale Oil
摘要
Abstract
The shale oil in the Fengcheng Formation of the Mabei Area has emerged as a key successor field for reserve and production growth in the Junggar Basin.The matrix physical properties of the Fengcheng Formation reservoirs are relatively poor,with fractures serving as the primary controlling factor for high production.Additionally,differentiated supporting frac-turing technologies are required for reservoirs with varying degrees of fracture development.Traditional well-seismic joint fracture modeling methods exhibit low accuracy and struggle to quantitatively characterize multi-scale,azimuthally distributed fractures.This paper innovates methods in the following aspects:1)azimuthal fracture modeling based on well data and seismic information is conducted to enhance the pertinence of the research;2)tectonic evolution analysis and multi-constraint stress field inversion are performed to simulate the distribution of fracture development in different geological stages driven by pa-leotectonic stress field;3)through the method of deep learning,the fracture information from well logging,seismic data,and stress fields is effectively integrated into a unified framework,enabling precise characterization of fractures of different scales and periods.The application of these methods raises the accuracy of natural fracture prediction to more than 80％,providing technical support for the fracturing design of 6 wells in the M Area.The daily production capacity of individual wells has increased by more than 22％,contributing to cost reduction and efficiency enhancement in the oilfield.关键词
页岩油/裂缝建模/地震属性/古应力场/神经网络融合/缝网模拟Key words
shale oil/fracture modeling/seismic attribute/paleostress field/neural network fusion/fracture simulation分类
天文与地球科学引用本文复制引用
张稳,王群,周东言,姚菊琴,曹洋,于江龙..应力场约束的多信息裂缝建模技术在页岩油开发中的应用[J].西南石油大学学报（自然科学版）,2026,48(3):27-38,12.基金项目
中国石油天然气股份有限公司重大科技专项(2023ZZ15YJ02) （2023ZZ15YJ02）
