最优尺度回归在储层孔隙度主控因素分析中的应用

马鹏杰; 佟昕; 张世奇; 慕小水

最优尺度回归在储层孔隙度主控因素分析中的应用

1. 中国石油大学地球科学与技术学院, 山东青岛 266580;
2. 中国石化中原油田分公司, 河南濮阳 457001

基金项目:

国家科技重大专项"东濮凹陷油气富集规律与增储领域"(2011ZX05006-004)、中央高校科研专项资金(10CX04009A)

详细信息

作者简介:
马鹏杰(1989-),男,硕士研究生,研究方向主要为储层地质学。E-mail:mpj1989@126.com

通讯作者:
张世奇(1971-),男,博士,教授,从事层序地层学和油气地质学方面的教学与科研工作。E-mail:shqzhang@upc.edu.cn

中图分类号: TE122.2
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出版历程
- 收稿日期: 2014-08-27
- 修回日期: 2014-08-31
- 发布日期: 2015-09-29

Applications of optimal scaling regression to the analysis of main controlling factors of reservoir porosity

1. School of Geosciences, China University of Petroleum, Qingdao 266580, Shandong, China;
2. Research Institute of Petroleum Exploration and Development, Zhongyuan Oil Field Company, SINOPEC, Puyang 457001, Henan, China

摘要

摘要: 本文以实测物性、粒度分析及铸体薄片鉴定为基础,结合对东濮凹陷濮卫地区沙二-沙四段储层孔隙度影响因素的分析,利用最优尺度回归方法,定量分析了储层孔隙度的主控因素。研究表明,最优尺度回归可以简便快捷地定量分析多因素对孔隙度的重要程度。分析结果显示各类影响因素重要性排序为:含油级别、层位、胶结物含量、储层与膏盐岩位置关系、压实减孔率及分选系数。成岩作用早期,分选性决定了储层的初始孔隙,压实作用是孔隙度减小的最主要的原因;成岩作用中后期,烃类充注是储层孔隙度得以保存的最主要的原因。
- 最优尺度回归 /
- 控制因素 /
- 烃类充注 /
- 膏盐岩 /
- 濮卫地区
Abstract: In the light of physical properties, grain-size analysis and thin-section examination, the optimal scaling regression analysis is introduced in the applications to the quantitative analysis of main controlling factors of reservoir porosity development in the second to fourth members of the Shahejie Formation in the Puwei region, Dongpu depression, Shandong. The results of research indicate that the multivariate influencing factors of reservoir porosity development can be simply and rapidly judged by the optimal scaling regression analysis. These influencing factors include oil grades, stratigraphic horizons, cement contents, relationship between the reservoir rocks and gypsolith, porosity reduction by compaction, and sorting coefficients. In the early stages of diagenesis, the sorting determines the initial porosity of reservoir rocks, and compaction is the main reason for the reduction of reservoir porosity. Till the middle and late stages of diagenesis, the hydrocarbon charging contributes a lot to the preservation of reservoir porosity.
- optimal scaling regression /
- controlling factor /
- hydrocarbon charging /
- gypsum rock /
- Puwei region