复杂储层多尺度数字岩石评价

朱如凯; 金旭; 王晓琦; 刘晓丹; 李建明; 孙亮; 吴松涛; 苏玲; 焦航; 崔景伟

doi:10.3799/dqkx.2018.429

复杂储层多尺度数字岩石评价

doi: 10.3799/dqkx.2018.429

朱如凯^1,2,3,,
金旭^1,2,3,
王晓琦^1,2,3,
刘晓丹^1,2,3,
李建明^1,2,3,
孙亮^1,2,3,
吴松涛^1,2,3,
苏玲^1,2,3,
焦航^1,2,3,
崔景伟^1,2,3

1.
中国石油勘探开发研究院, 北京 100083
2.
国家能源致密油气研发中心, 北京 100083
3.
中国石油油气储层重点实验室, 北京 100083

基金项目:

国家油气重大专项 2016ZX05001

国家重点基础研究发展计划（973计划）项目 2014CB239000

详细信息

作者简介:
朱如凯(1968-), 男, 博士, 教授级高级工程师, 博士研究生导师, 研究方向为沉积储层与非常规油气

中图分类号: P618
计量
- 文章访问数: 4776
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- PDF下载量: 60
- 被引次数: 0
出版历程
- 收稿日期: 2017-07-18
- 刊出日期: 2018-05-15

Multi-Scale Digital Rock Evaluation on Complex Reservoir

Zhu Rukai^{1,2,3
,},
Jin Xu^1,2,3,
Wang Xiaoqi^1,2,3,
Liu Xiaodan^1,2,3,
Li Jianming^1,2,3,
Sun Liang^1,2,3,
Wu Songtao^1,2,3,
Su Ling^1,2,3,
Jiao Hang^1,2,3,
Cui Jingwei^1,2,3

1.
PetroChina Research Institute of Petroleum Exploration & Development, Beijing 100083, China
2.
National Research Center of Tight Oil, Beijing 100083, China
3.
Key Laboratory of Oil and Gas Reservoirs, China National Petroleum Corporation, Beijing 100083, China

摘要

摘要: 复杂储层岩石矿物组成非均质性强，孔喉结构细小.储集空间有效性评价、岩石结构精细评价及流体赋存状态与运移规律评价是决定复杂储层油气勘探成效的关键.针对复杂储层的储集空间（孔喉、裂缝）、岩石结构（矿物、有机质）、流体特征3方面，建立了复杂储层多尺度数字岩石评价技术及工作流程.储集空间表征方面：二维大面积分析技术可建立跨越6~7个数量级的多尺度选取及非均质性评价；多尺度CT及FIB-SEM联用可精确刻画孔喉和裂缝的三维空间分布；电化学和显影剂技术可以有效地帮助分析微观孔隙连通性.固体组分分析方面：XRF及Qemscan联用可定量评价矿物组成与分布；三维FIB-SEM技术可以实现有机质形态和分布的定量分析.流体特性方面：荷电效应可用于微量残留有机流体的识别与表征；通过合成孔径、润湿性、表面微结构均可调控的纳米材料，开展地层条件下页岩油赋存及流动物理模拟研究，确定了单一因素对页岩油赋存及可动孔径下限的影响；利用分子模拟研究油气在无机、有机质纳米孔隙中的聚集机理与扩散潜力.复杂储层多尺度数字岩石评价技术体系和一系列具体应用可以有效地填补常规储层分析手段的不足，为页岩油气、致密砂岩油气储层以及深部油气储层等复杂储层有效性评价和含油气性定量评价提供技术支撑.
- 复杂储层 /
- 储集空间 /
- 岩石结构 /
- 流体特征 /
- 数字岩石 /
- 油气地质
Abstract: Mineral compositions of complex reservoir are characterized by heterogeneity and small pore structure. Oil and gas exploration on complex reservoirs are determined by evaluations of reserving space, rock structure, fluid saturation and migration. Two-and three-dimensional space distribution of pore throat can be depicted precisely by multiscale CT and FIB-SEM, XRF and Qemscan can assess mineral compositions and distribution, fluid saturation and migration can be observed by multi-scale CT-ESEM, selecting sample target step by step, forming work flow on pore-mineral-fluid three-dimensional quantitative analysis, analysis scale across 6-7 orders of magnitude. Writing digital rock analysis software modules, dividing precisely micro pore throat three-dimensional distribution, assessing quantitatively on effective reservoir connectivity, establishing quantitative analysis methods of heterogeneity samples scales and pore-seam spatial configuration, can provide the basis for complex reservoir fluid percolation ability evaluation. To carry out the research on shale oil saturation and migration physical simulation which is based on nano porous materials, to compound adjustable nanomaterials in some respects such as pore size, wettability and surface microstructure, to imitate shale oil reservoir, we can find out the impact of each factor on shale oil saturation and pore size lower limit where fluid could migrate. Extracting key parameters based on hole network model of real core, carrying out the research on the best path of oil and gas migration using lattice boltzmann and finite element modelling, molecular simulation is used for the study on oil and gas aggregation mechanism and diffusion potential in inorganic and organic nano pores. Finally we could uncover the oil and gas flow mechanism in micro-nano reservoir space, and provide technical support for the effective assessment of shale oil and gas, tight sandstone and complex resesvoirs, and quantitative evaluation of oil-gas possibility.
- complex reservoir /
- reservoir space /
- rock structure /
- fluid character /
- digital rock /
- petroleum geology

HTML全文

图 1 孔喉结构三维分析表征

a.三维图像获取与图像处理过程；b.经图像处理后获得的三维孔隙结构

Fig. 1. Three-dimensional analysis and characterization of pore throat structure

下载: 全尺寸图片幻灯片

图 2 致密砂岩裂缝三维空间展布表征结果

Fig. 2. Characterization results of three-dimensional distribution of tight sandstone fractures

下载: 全尺寸图片幻灯片

图 3 页岩有机质孔三维重构图

红色为有机质；蓝色为孔隙.a.FIB-SEM三维切片成像示意图；b.三维体渲染图像；c.按灰度进行物质相划分；d.有机质与孔隙空间分布

Fig. 3. Three-dimensional reconstruction diagram of shale organic pore

下载: 全尺寸图片幻灯片

图 4 鄂尔多斯盆地环317井延长组含油页岩残留油分布图像

a.残留油二维大面积分布识别(1.524 mm×1.016 mm)；b.选区内残留油高分辨三维分布；c.残留油在有机质网络中的空间分布

Fig. 4. Residual oil distribution image of shale in Yanchang Formation in Huan 317 well in Ordos basin

下载: 全尺寸图片幻灯片

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