海洋地质前沿2024，Vol.40Issue(7)：87-95,9.DOI:10.16028/j.1009-2722.2023.263
基于成分指示因子的复杂岩相识别
Identification of complex lithofacies based on compositional indicators:a case study of deep-water low-permeability gas reservoir in Baodao Sag,South China Sea
摘要
Abstract
Aiming at the problem of complex lithology of deep offshore low-permeability sandstone reservoirs and difficulty in identifying favorable reservoirs,the complex lithology in the area was classified based on litholo-gical laser particle size analysis and thin section identification.Through the analysis of the relationship between lithofacies and well logging curves,the sensitive well logging curves that can identify the lithofacies of the low-permeability reservoir were selected.By utilizing the principle of principal component analysis,component factor curves that can accurately identify three types of lithofacies were constructed.Results show that the lithology of the low-permeability reservoir is complex and variable,ranging from siltstone to gravelly medium and coarse sandstone.In the median particle size,the lithology in the lithofacies of this area could be divided into three types,i.e.,coarse-grained lithofacies(median particle size(Ms)＞0.1 mm),fine-grained lithofacies(Ms 0.1-0.062 5 mm),and very fine-mudstone lithofacies(Ms＜0.062 5 mm).The coarse-grained lithofacies is the relatively high-quality lithofacies zone.In addition,lithological component indicator factors were constructed with which the ac-curacy of the lithofacies identification was improved significantly compared to the conventional methods using single well logging curve.The lithofacies identification method we established could better guide the sand entry position of horizontal well in the study area,which has important significance for the development of the low-per-meability reservoir in the study area.关键词
低渗储层/复杂岩性识别/成分指示因子/岩石相/宝岛凹陷/南海Key words
low-permeability reservoir/complex lithology identification/component indicator factor/lithofacies/Baodao Sag/South China Sea分类
海洋科学引用本文复制引用
张华,叶青,郇金来,张冲,陈儒贤..基于成分指示因子的复杂岩相识别[J].海洋地质前沿,2024,40(7):87-95,9.基金项目
中海油有限公司综合科研项目"深水砂岩油气田高效开发关键技术(一期)"(联合2_24) （一期）
