GB/Z 230-2026 人工智能 岩石薄片智能鉴定
GB/Z 230-2026 Artificial intelligence—Intelligent identification of rock thin-section
基本信息
本文件适用于砂岩和碳酸盐岩的普通薄片和铸体薄片的智能鉴定。
发布历史
-
2026年08月
文前页预览
研制信息
- 起草单位:
- 中国石油天然气股份有限公司勘探开发研究院、中国石油天然气股份有限公司华北油田分公司、中国石油天然气股份有限公司塔里木油田分公司、中国石油天然气股份有限公司油气和新能源分公司、中国电子技术标准化研究院、中国石油天然气股份有限公司长庆油田分公司、中国石油天然气股份有限公司西南油气田分公司、中国石油天然气股份有限公司大港油田分公司、中国石油天然气股份有限公司新疆油田分公司、大庆油田有限责任公司、中国石油天然气股份有限公司吉林油田分公司、中国石油天然气股份有限公司吐哈油田分公司、中国石油大学(北京)、中国石油化工股份有限公司胜利油田分公司勘探开发研究院、中国石油化工股份有限公司石油勘探开发研究院、中海油能源发展股份有限公司、中国石油化工股份有限公司西北油田分公司、北京航空航天大学、成都理工大学、中国石油大学(华东)、中国石油集团长城钻探工程有限公司、东北石油大学、新疆维吾尔自治区地质局区域地质调查中心
- 起草人:
- 刘合、任义丽、范科峰、李欣、曾昌民、方辉、胡延旭、王孝明、闫林、罗凯、刘茜、苏乾潇、严玉霞、满玲、杨艳宁、惠芳、梁婷、史燕青、吴健平、郑紫路、蒲秀刚、韩文中、周基贤、刘明、王秀伟、王伟、洪淑新、李忠诚、华树常、杨天红、李昌朋、毕建中、董建、徐洋、马珊珊、任肇才、王慧玲、白雪晶、刘锋、陈永慧、滕建彬、邓岳、李洪珏、余晓露、黄向胜、阳国进、苏中堂、康强、孟凡超、吴玉其、田伟志、赵茗钧、林盛斓、孟思炜、李艳春、王瑞、宋倩倩、刘兵
- 出版信息:
- 页数:32页 | 字数:50 千字 | 开本: 大16开
内容描述
ICS35.240
CCSL70
中华人民共和国国家标准化指导性技术文件
GB/Z230—2026
人工智能岩石薄片智能鉴定
Artificialintelligence—Intelligentidentificationofrockthin-section
2026⁃08⁃27发布
国家市场监督管理总局
国家标准化管理委员会发布
GB/Z230—2026
目次
前言··························································································································Ⅲ
引言··························································································································Ⅳ
1范围·······················································································································1
2规范性引用文件········································································································1
3术语和定义··············································································································1
4方法概要·················································································································2
5设备、软件和材料······································································································2
5.1设备·················································································································2
5.2软件·················································································································2
5.3材料·················································································································3
6砂岩岩石薄片智能建模·······························································································3
6.1建模流程···········································································································3
6.2图像采集···········································································································3
6.3数据标注···········································································································4
6.4智能鉴定模型构建·······························································································4
7碳酸盐岩岩石薄片智能建模·························································································8
7.1建模流程···········································································································8
7.2图像采集···········································································································9
7.3数据标注···········································································································9
7.4智能鉴定模型构建······························································································10
8鉴定程序···············································································································14
8.1流程················································································································14
8.2标本观察··········································································································14
8.3岩石制片··········································································································14
8.4图像采集··········································································································14
8.5智能鉴定··········································································································14
8.6审核校正··········································································································14
8.7报告输出··········································································································14
9质量要求···············································································································14
9.1智能建模质量要求······························································································14
9.2薄片智能鉴定质量要求························································································15
附录A(规范性)岩石组分类别属性················································································16
附录B(规范性)储集空间类别属性················································································20
附录C(资料性)薄片智能鉴定表示例·············································································22
Ⅰ
GB/Z230—2026
前言
本文件为规范类指导性技术文件。
本文件按照GB/T1.1—2020《标准化工作导则第1部分:标准化文件的结构和起草规则》的规
定起草。
请注意本文件的某些内容可能涉及专利。本文件的发布机构不承担识别专利的责任。
本文件由全国信息技术标准化技术委员会(SAC/TC28)提出并归口。
本文件起草单位:中国石油天然气股份有限公司勘探开发研究院、中国石油天然气股份有限公司
华北油田分公司、中国石油天然气股份有限公司塔里木油田分公司、中国石油天然气股份有限公司油
气和新能源分公司、中国电子技术标准化研究院、中国石油天然气股份有限公司长庆油田分公司、中国
石油天然气股份有限公司西南油气田分公司、中国石油天然气股份有限公司大港油田分公司、中国石
油天然气股份有限公司新疆油田分公司、大庆油田有限责任公司、中国石油天然气股份有限公司吉林
油田分公司、中国石油天然气股份有限公司吐哈油田分公司、中国石油大学(北京)、中国石油化工股份
有限公司胜利油田分公司勘探开发研究院、中国石油化工股份有限公司石油勘探开发研究院、中海油
能源发展股份有限公司、中国石油化工股份有限公司西北油田分公司、北京航空航天大学、成都理工大
学、中国石油大学(华东)、中国石油集团长城钻探工程有限公司、东北石油大学、新疆维吾尔自治区地
质局区域地质调查中心。
本文件主要起草人:刘合、任义丽、范科峰、李欣、曾昌民、方辉、胡延旭、王孝明、闫林、罗凯、刘茜、
苏乾潇、严玉霞、满玲、杨艳宁、惠芳、梁婷、史燕青、吴健平、郑紫路、蒲秀刚、韩文中、周基贤、刘明、
王秀伟、王伟、洪淑新、李忠诚、华树常、杨天红、李昌朋、毕建中、董建、徐洋、马珊珊、任肇才、王慧玲、
白雪晶、刘锋、陈永慧、滕建彬、邓岳、李洪珏、余晓露、黄向胜、阳国进、苏中堂、康强、孟凡超、吴玉其、
田伟志、赵茗钧、林盛斓、孟思炜、李艳春、王瑞、宋倩倩、刘兵。
Ⅲ
GB/Z230—2026
引言
本文件的目的在于为岩石薄片智能鉴定提供规范类指导性技术文件。传统岩石薄片鉴定是专家
用偏光显微镜肉眼观察鉴定,执行SY/T5368《岩石薄片鉴定》。随着人工智能技术发展以及鉴定专家
的紧缺,岩石薄片鉴定从传统人工鉴定转向智能鉴定,工作模式发生变革,本文件是工作模式发生变革
后产生的新标准。
Ⅳ
GB/Z230—2026
人工智能岩石薄片智能鉴定
1范围
本文件规定了岩石薄片智能鉴定的设备、软件和材料选用要求以及智能建模、智能鉴定的流程、方
法和要求。
本文件适用于砂岩和碳酸盐岩的普通薄片和铸体薄片的智能鉴定。
2规范性引用文件
下列文件中的内容通过文中的规范性引用而构成本文件必不可少的条款。其中,注日期的引用文
件,仅该日期对应的版本适用于本文件;不注日期的引用文件,其最新版本(包括所有的修改单)适用于
本文件。
GB/T41864信息技术计算机视觉术语
GB/T41867信息技术人工智能术语
GB/T45288.2人工智能大模型第2部分:评测指标与方法
SY/T5368岩石薄片鉴定
SY/T5913岩石制片方法
SY/T6103岩石孔隙结构特征的测定图像分析法
3术语和定义
GB/T41867、GB/T41864、GB/T45288.2界定的以及下列术语和定义适用于本文件。
3.1
组分constituent
岩石薄片图像中能被识别、不可再拆分的单元。
注:砂岩组分的类别包括附录A中表A.1中的陆源碎屑、非陆源碎屑、填隙物。碳酸盐岩组分的类别包括表A.2中
的矿物组分、表A.3中的结构组分、表A.4中的构造。
3.2
组分分割constituentsegmentation
利用图像分割技术提取组分的边缘及类别的活动。
3.3
储集空间分割pore-spacesegmentation
利用语义分割技术提取孔、洞、缝的边缘及类别的活动。
3.4
视域fieldofview
图像采集软件下呈现的薄片局部图像。
3.5
全视域full-fieldview
整个薄片样本内所有视域图像依次拼接而成的全部图像。
1
定制服务
推荐标准
- MT 188-1988 煤矿用乳化液泵站 1988-04-08
- GB/T 8988-1988 缩微摄影技术 检验技术图纸缩微摄影质量测试标板的制作 1988-04-11
- GB/T 7165.2-1988 气态排出流(放射性)活度连续监测设备 第二部分 气溶胶排出流监测仪的特殊要求 1988-04-12
- GB/T 8987-1988 缩微摄影技术 缩微摄影时检验负像光学密度用测试标板 1988-04-11
- MT 189-1988 矿用隔爆型检漏继电器 1988-04-03
- GB/T 8990-1988 缩微摄影技术 用于“检验技术图纸缩微摄影质量测试标板”的反射率灰板 1988-04-11
- DZ 58-1988 地质矿产部单位代码 1988-04-12
- GB/T 8937-1988 食用猪油 1988-03-30
- GB 8959-1988 铸造防尘技术规程 1988-04-01
- GB 8999-1988 电离辐射监测质量保证一般规定 1988-04-12