石油勘探与开发 >

2021 , Vol. 48 >Issue 4: 710 - 718

DOI: https://doi.org/10.11698/PED.2021.04.04

油气勘探

碳酸盐岩储集层知识库构建方法及其在缝洞型油藏地质建模中的应用

  • 何治亮 ,
  • 孙建芳 ,
  • 郭攀红 ,
  • 魏荷花 ,
  • 吕心瑞 ,
  • 韩科龙
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  • 1.中国石油化工股份有限公司,北京 100728;
    2.中国石化石油勘探开发研究院,北京 100083
何治亮（1963-）,男,湖北潜江人,博士,中国石油化工股份有限公司教授级高级工程师,主要从事石油地质与科技管理方面的工作。地址：北京市朝阳区北大街22号,中国石油化工集团股份有限公司科技部,邮政编码：100728。E-mail: hezhiliang@sinopec.com

收稿日期: 2020-09-22

  修回日期: 2021-06-20

  网络出版日期: 2021-07-23

基金资助

国家科技重大专项（2016ZX05014-002,2017ZX05005）; 中国科学院先导A类专项（XDA14010205）; 中国石化科技部项目群（P21038-2）

收起

Construction method of carbonate reservoir knowledge base and its application in fracture-cavity reservoir geological modeling

  • HE Zhiliang ,
  • SUN Jianfang ,
  • GUO Panhong ,
  • WEI Hehua ,
  • LYU Xinrui ,
  • HAN Kelong
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  • 1. Sinopec, Beijing 100728, China;
    2. Petroleum Exploration & Production Research Institute, Sinopec, Beijing 100083, China

Received date: 2020-09-22

  Revised date: 2021-06-20

  Online published: 2021-07-23

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摘要

通过构建应用型储集层知识库,实现储集层相关知识的管理与储集层研究有效融合,提升碳酸盐岩储集层研究效率和精度。储集层知识库以服务于高质量的储集层分析、评价、描述及地质建模为目标,将知识框架分为技术研究方法类、技术服务标准类及与地质对象有关的专业知识和案例3大类别。通过建立针对性的知识分类体系及知识描述标准,构建知识库结构,梳理不同地质对象的理论认识与各类技术方法,按规范形成技术服务标准包,采集典型的露头及油藏案例,通过系统抽提、整理及入库,构建地质对象有关的专业知识。采用基于多学科协同编辑架构共同完善知识内容、基于自然语言处理技术自动抽提地质对象及相关属性参数、基于现代精细测量技术开展数据采集等3个方面的信息化技术,能显著提高知识采集、抽提、整理的效率。以塔里木盆地复杂缝洞型油藏地质建模为例,阐述碳酸盐岩储集层知识库的构建及其在缝洞型油藏地质建模中的应用,取得较好效果。 图10 表1 参27

关键词： 知识管理; 储集层知识库; 缝洞型储集层; 地质建模; 碳酸盐岩; 古暗河系统; 塔河油田; 塔里木盆地

本文引用格式

何治亮 , 孙建芳 , 郭攀红 , 魏荷花 , 吕心瑞 , 韩科龙 . 碳酸盐岩储集层知识库构建方法及其在缝洞型油藏地质建模中的应用[J]. 石油勘探与开发, 2021 , 48(4) : 710 -718 . DOI: 10.11698/PED.2021.04.04

Abstract

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.

Key words： knowledge management; reservoir knowledge base; fracture-cavity reservoir; geological modeling; carbonates; paleo-underground river system; Tahe oilfield; Tarim Basin

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