石油地球物理勘探2025，Vol.60Issue(3)：728-738,11.DOI:10.13810/j.cnki.issn.1000-7210.20240155
基于压力自适应岩石物理模型的深水少井区储层预测
Reservoir prediction in sparsely drilled deepwater zones based on pressure adaptive petrophysical model
摘要
Abstract
In deepwater zones under high-pressure conditions,the complex and heterogeneous pore structures of reservoirs lead to significant variations in rock elastic properties,making conventional forward modeling and in-version techniques insufficient for accurate reservoir prediction.Petrophysical models serve as a critical bridge between physical properties and elastic parameters of reservoirs.To improve reservoir prediction accuracy in sparsely drilled deepwater zones under high pressure with limited well data,this study incorporates the effects of effective pressure into the petrophysical modeling process.A pressure-dependent correction is applied to the aspect ratio of sandstone pores,and adaptive sandstone porosity is fitted.Based on this,a deepwater sandstone-mudstone petrophysical model with effective pressure correction is established.The proposed petrophysical modeling approach is applied to the deepwater A block in the southern offshore region of China.Compared with conventional petrophysical models,the developed model exhibits higher accuracy in well log reconstruction.Furthermore,to address the low prediction accuracy due to sparse well data,the pressure adaptive petrophysi-cal model is utilized to generate pseudo-wells.The practical application of the method demonstrates that incor-porating multiple pseudo-wells facilitates more accurate reservoir identification with inversion results.The in-version outcomes show strong agreement with sedimentary facies and drilling data,which validates the effec-tiveness and reliability of the proposed approach.关键词
深水少井/有效压力/砂泥岩储层/岩石物理模型/储层预测Key words
sparsely drilled deepwater zone/effective pressure/sandstone-mudstone reservoir/petrophysical model/reservoir prediction分类
天文与地球科学引用本文复制引用
刘兵,周怀来,王元君,刘兴业,陶柏丞..基于压力自适应岩石物理模型的深水少井区储层预测[J].石油地球物理勘探,2025,60(3):728-738,11.基金项目
本项研究受国家自然科学基金项目"基于生成对抗网络倾角预测反演插值的地震数据重建与规则化"(42204136)和四川省自然科学基金项目"深层—超深层页岩储层参数智能化半监督表征方法研究"(2024NSFSC1984)联合资助. （42204136）
