测井技术2023，Vol.47Issue(6)：746-752,7.DOI:10.16489/j.issn.1004-1338.2023.06.013
基于改进电成像孔隙度谱的海洋低孔低渗砂岩渗透率评价方法
Permeability Evaluation Method for Marine Low Porosity and Permeability Sandstone Based on Improved Electrical Imaging Porosity Spectrum
刘君毅 1冯进 1管耀 1肖张波 1王清辉 1刘伟男1
作者信息
- 1. 中海石油(中国)有限公司深圳分公司,广东 深圳 518000
- 折叠
摘要
Abstract
The reservoirs of Enping and Wenchang formation in Lufeng sag,Pearl River Mouth basin are mainly low porosity and low permeability sandstone reservoirs,with strong heterogeneity and complex pore structures.The permeability calculated by conventional methods is difficult to meet the actual needs of exploration and development,while the vertical resolution of nuclear magnetic logging is low,which makes it difficult to effectively identify high-quality thin layer.In response to the above issues,the author chose electrical imaging logging with higher vertical resolution,based on core experiment and forward modeling,after deeply analyzes the reasons for the shortcomings of traditional porosity spectrum in characterizing the rock pore structure,the author innovatively proposed a method for constructing porosity spectrum based on pore volume statistics.By comparing with core nuclear magnetic resonance T2 spectrum,the improved porosity spectrum can truly reflect the characteristics of reservoir pore structure.On this basis,referring to the SDR permeability calculation formula of nuclear magnetic logging,a permeability calculation model based on improved porosity spectrum is constructed.The actual well evaluation results show that the relative error of permeability calculation is reduced by 77.3%compared to conventional pore permeability methods,and it can more effectively identify high-quality thin sand layers,which can provide reliable basic data for fine reservoir description and productivity prediction.关键词
陆丰凹陷/低孔隙度低渗透率砂岩/渗透率/电成像/孔隙度谱Key words
Lufeng sag/low porosity and permeability sandstone/permeability/electrical imaging/porosity spectrum分类
天文与地球科学引用本文复制引用
刘君毅,冯进,管耀,肖张波,王清辉,刘伟男..基于改进电成像孔隙度谱的海洋低孔低渗砂岩渗透率评价方法[J].测井技术,2023,47(6):746-752,7.
