To improve the efficiency and accuracy of carbonate reservoir research, a unified reservoir knowledge base linking geological knowledge management with reservoir research is proposed. The reservoir knowledge base serves high-quality analysis, evaluation, description and geological modeling of reservoirs. The knowledge framework is divided into three categories: technical service standard, technical research method and professional knowledge and cases related to geological objects. In order to build a knowledge base, first of all, it is necessary to form a knowledge classification system and knowledge description standards; secondly, to sort out theoretical understandings and various technical methods for different geologic objects and work out a technical service standard package according to the technical standard; thirdly, to collect typical outcrop and reservoir cases, constantly expand the content of the knowledge base through systematic extraction, sorting and saving, and construct professional knowledge about geological objects. Through the use of encyclopedia based collaborative editing architecture, knowledge construction and sharing can be realized. Geological objects and related attribute parameters can be automatically extracted by using natural language processing (NLP) technology, and outcrop data can be collected by using modern fine measurement technology, to enhance the efficiency of knowledge acquisition, extraction and sorting. In this paper, the geological modeling of fracture-cavity reservoir in the Tarim Basin is taken as an example to illustrate the construction of knowledge base of carbonate reservoir and its application in geological modeling of fracture-cavity carbonate reservoir.

为了提高碳酸盐岩储层研究的效率和准确性，提出了一个将地质知识管理与储层研究相联系的统一储层知识库。油藏知识库服务于油藏的高质量分析、评价、描述和地质建模。知识框架分为技术服务标准、技术研究方法和与地质对象相关的专业知识和案例三类。建立知识库，首先要形成知识分类体系和知识描述标准；其次，梳理不同地质对象的理论认识和各种技术方法，根据技术标准制定技术服务标准包；第三，收集典型的露头和油藏案例，通过系统的提取、整理和保存，不断扩展知识库的内容，构建地质对象的专业知识。通过使用基于百科全书的协同编辑架构，可以实现知识的构建和共享。利用自然语言处理（NLP）技术自动提取地质对象及相关属性参数，利用现代精细测量技术采集露头数据，提高知识获取、提取和整理的效率。在这篇论文中，