地学前缘 ›› 2025, Vol. 32 ›› Issue (2): 277-289.DOI: 10.13745/j.esf.sf.2024.2.1

• 非主题来稿选登 • 上一篇    下一篇

辽河坳陷西部凹陷雷家地区沙四段杜三层细粒沉积岩储层特征及评价

李阳1,2(), 李晓光1, 陈昌1, 崔向东1, 赖鹏1, 郭鹏超1, 任铌2, 刘洋1, 戚雪晨1, 郭美伶1   

  1. 1.中国石油天然气股份有限公司辽河油田分公司, 辽宁 盘锦 124010
    2.西南石油大学 地球科学与技术学院, 四川 成都 610500
  • 收稿日期:2023-10-20 修回日期:2024-01-09 出版日期:2025-03-25 发布日期:2025-03-25
  • 作者简介:李 阳(1988—),男,在站博士后,主要从事沉积储层和数据挖掘研究。E-mail: 7891235@qq.com
  • 基金资助:
    辽宁省自然科学基金计划项目(2024-BS-338);中国石油天然气股份有限公司辽河油田分公司重点科技项目(2023KJXM-11)

Reservoir characteristics and evaluation of fine-grained sedimentary rocks in E2 s 4 d 3 in the Leijia area of the Western Sag, Liaohe Depression

LI Yang1,2(), LI Xiaoguang1, CHEN Chang1, CUI Xiangdong1, LAI Peng1, GUO Pengchao1, REN Ni2, LIU Yang1, QI Xuechen1, GUO Meiling1   

  1. 1. PetroChina Liaohe Oilfield Company, Panjin 124010, China
    2. School of Geoscience and Technology, Southwest Petroleum University, Chengdu 610500, China
  • Received:2023-10-20 Revised:2024-01-09 Online:2025-03-25 Published:2025-03-25

摘要:

西部凹陷雷家地区沙四段杜三层沉积了以黏土、长英质、碳酸盐和方沸石矿物混合的湖相细粒沉积岩,为该区近年致密油和页岩油勘探重点对象。在前人研究基础上,使用钻井、测井、录井和分析化验等资料,并结合无监督学习方法,对研究区目的层细粒沉积岩进行分类,研究细粒岩储层基本地质特征并对其评价和有利区带预测。对303个X射线衍射全岩定量分析数据进行K-means聚类分析,将杜三层岩性划分为碳酸盐岩类、长英质混合细粒岩类和方沸石质混合细粒岩类3种类型,其中碳酸盐岩类和方沸石质混合细粒岩类具有更好的脆性特征,容易产生裂缝,并且溶孔和溶洞沿着裂缝发育,使得此类岩石储渗性能更佳,杜三层储层孔喉半径细小,分选差,均质系数小,孔隙结构较差,形成有效储层依赖微孔隙和微裂缝。基于叠合概率评价方法,将脆性指数、碳酸盐岩和方沸石质混合细粒岩厚度、裂缝密度、平均孔隙度、平均渗透率和总有机碳含量6种影响储层发育因素进行融合并评价,储层发育有利区沿湖盆长轴雷15井—雷84井—雷59井—曙90井—雷93井等井区分布。

关键词: 辽河坳陷, 西部凹陷, 细粒沉积岩, 无监督学习, 叠合概率, 储层评价

Abstract:

The E2 s 4 d 3 layer in the Leijia area of the western sag is characterized by lacustrine fine-grained sedimentary rocks, intermixed with clay, felsic, carbonate, and analcime minerals. Recent exploration efforts have been primarily directed towards tight oil and shale oil within this region. Previous research amalgamated drilling, logging, and analytical testing data to comprehend the geological characteristics of fine-grained rock reservoirs. Employing unsupervised learning techniques, particularly K-means cluster analysis, facilitated the classification of fine-grained sedimentary rocks into distinct types based on 303 X-ray diffraction whole-rock quantitative analysis data. The lithology of the E2 s 4 d 3 layer was categorized into carbonate rock type, felsic mixed fine-grained rock type, and analcitic mixed fine-grained rock type. Notably, carbonate rocks and analcite mixed fine-grained rocks exhibit superior brittleness characteristics, are prone to cracking, and have developed dissolved pores and caves along fractures, thereby enhancing storage and seepage properties. Evaluation of the E2 s 4 d 3 reservoir revealed a small pore throat radius, poor sorting, small homogeneity coefficient, and inadequate pore structure. Effective reservoir formation predominantly relies on micropores and microfractures. Through the overlapping favorability method, six factors influencing reservoir development were integrated and assessed, including brittleness index, thickness of carbonate rock and analcitic mixed fine-grained rock, fracture density, average porosity, average permeability, and organic carbon content. Favorable zones for reservoir development are primarily distributed along the long axis of the lake basin, encompassing specific wells such as Lei 15, Lei 84, Lei 59, Shu 90, and Lei 93. This summary provides a comprehensive overview of the geological study, encompassing methodologies, findings, and implications for oil exploration in the Leijia area.

Key words: Liaohe Depression, western sag, fine-grained sedimentary rocks, unsupervised learning, overlapping favourability method, reservoir evaluation

中图分类号: