摘要
CT扫描和扫描电镜是获取油气钻井岩心内部结构和成分参数的主要技术。为减少数据获取成本,提升数据共享能力,根据不同分辨率CT扫描和扫描电镜等数据的综合分析功能需求,建立基础支撑环境层、数据资源层、分析服务层、应用层分层架构,设计岩心数据管理、可视化及综合分析模块,提出基于最大球算法的三维孔隙网络建模和UNet深度学习模型的岩心图像特征提取技术,研发基于B/S架构的油气钻井岩心数字分析系统。结果表明:岩心数字分析系统能够管理多类型数据,可以高效提供烃源岩评价、储层物性等关键参数,在一定程度上解决岩心重复分析和数据孤岛的现状,为油气勘探开发提供地质调查服务。
Main ways to obtain the internal structure and composition parameters of oil and gas drilling cores are CT and scanning electron microscopy.In order to reduce the experimental cost and improve the ability of data sharing,moreover, supporting the comprehensive analysis of different resolution data of CT and scanning electron microscopy,an information system integrating core data management,visualization and data analysis is designed and developed.The system which is based on B/S structure is named Oil and Gas Drilling Core Digital Analysis System(OGDCDAS).A 4-layer layered architecture including supporting environment layer,data resource layer,analysis and service layer,and application layer is established in OGDCDAS.In addition,some key technologies such as 3D pore network modeling based on maximum ball method,core image feature extraction method based on UNet deep learning model are applied in the system.The results demonstrate that the OGDCDAS can firstly manage different kinds of core data,secondly generate key parameters of source rock evaluation and reservoir physical properties of source rocks efficiently,thirdly offer the researchers core data conveniently,avoiding the repeated analysis and the information island of core data to some extent,and finally provide some geological survey services and supports for the petroleum exploration and development.
作者
张聪
韩慧萍
王艳红
方镕慧
陈维堃
李志伟
董虎
田迎春
罗军
张云波
ZHANG Cong;HAN Huiping;WANG Yanhong;FANG Ronghui;CHEN Weikun;LI Zhi-wei;DONG Hu;TIAN Yingchun;LUO Jun;ZHANG Yunbo(The Key Laboratory of Unconventional Oil&Gas Geology,CGS,Beijing,100083,China;Oil&Gas Survey,China Geological Survey,Beijing,100083,China;China University of Geosciences(Beijing),Beijing,100083,China;IRock Technologies,Beijing,100094,China)
出处
《东北石油大学学报》
CAS
北大核心
2022年第6期88-99,I0006,I0007,共14页
Journal of Northeast Petroleum University
基金
国家自然科学基金项目(42172171)
中国地质调查局项目(DD20221674)
中国地质调查局项目(DD20201114)。
关键词
岩心数字化
岩心数据
数据服务
油气钻井岩心数字分析系统
最大球算法
油气勘探
core digital
core data
data services
Oil and Gas Drilling Core Digital Analysis System
maximum ball method
oil and gas exploration
