石油勘探与开发 >

2019 , Vol. 46 >Issue 1: 185 - 194

DOI: https://doi.org/10.11698/PED.2019.01.19

学术讨论

复杂断块油藏三维地质模型多参数定量评价

  • 谭学群 ,
  • 刘云燕 ,
  • 周晓舟 ,
  • 刘建党 ,
  • 郑荣臣 ,
  • 贾超
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  • 1. 中国石化石油勘探开发研究院,北京 100083;
    2. 大庆油田有限责任公司第八采油厂,黑龙江大庆 163514;
    3. 北京阿什卡技术开发有限公司,北京 100101
谭学群（1967-）,男,山东临朐人,博士,中国石化石油勘探开发研究院高级工程师,主要从事油气田开发工作。地址：北京市海淀区学院路31号,中国石化石油勘探开发研究院,邮政编码：100083。Email: tanxq.syky@sinopec.com

收稿日期: 2018-03-14

  修回日期: 2018-08-20

  网络出版日期: 2018-10-16

基金资助

中国石化股份公司科技部项目（G5800-17-ZS-KJB009）

收起

Multi-parameter quantitative assessment of 3D geological models for complex fault-block oil reservoirs

  • TAN Xuequn ,
  • LIU Yunyan ,
  • ZHOU Xiaozhou ,
  • LIU Jiandang ,
  • ZHENG Rongchen ,
  • JIA Chao
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  • 1. Research Institute of Petroleum Exploration and Production, Sinopec, Beijing 100083, China;
    2. No.8 Oil Production Plant of Daqing Oilfield Company Ltd., PetroChina, Daqing 163514, China;
    3. ESSCA Beijing Technical Development Company Ltd., Beijing 100101, China

Received date: 2018-03-14

  Revised date: 2018-08-20

  Online published: 2018-10-16

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摘要

在三维地质建模领域,研究人员更重视建模的方法和流程,而忽略了模型的定量评价。如果把评价范围缩小至同一油气藏类型,定量评价的可比性和实用性就会显现。研究认为,定量评价体系应包括资料验证、地质认识及过程检查这3个部分。资料验证主要是根据实际资料验证模型局部预测是否准确,地质认识主要是验证模型全局预测是否符合地质规律和前期认识,两者是从不同的角度对结果进行的定量验证,互为补充,是定量评价的重点;过程检查是为了避免偶然性。以复杂断块砂岩油藏为例,在征集业内专家意见的基础上,提炼并建立三维地质模型多参数定量评价标准,共选取13个特征参数,按重要性设置权重,按百分制确定各特征参数高、中、低三级评价标准,根据累积得分得出评价结论。评价结果表明,按此标准,既能客观、全面地评价模型质量,还能根据扣分项指出模型有待改进和提升的方面。图8表1参42

关键词： 油藏描述; 地质建模; 质量评价; 特征参数; 储量估算; 断块油藏

本文引用格式

谭学群 , 刘云燕 , 周晓舟 , 刘建党 , 郑荣臣 , 贾超 . 复杂断块油藏三维地质模型多参数定量评价[J]. 石油勘探与开发, 2019 , 46(1) : 185 -194 . DOI: 10.11698/PED.2019.01.19

Abstract

In the field of 3D geologic modeling, researchers often pay more attention to modeling methods and workflows, but neglect the quantitative evaluation of models. If the evaluation is narrowed to the same reservoir type, the comparability and practicality of quantitative assessment would be emerging. The evaluation system should include three parts: data verification, geological understanding and process check. Data verification mainly involves testing the accuracy of local prediction with actual data, and geological understanding is to examine whether the global estimation of the model honors geological principles and prior insights. They are quantitative verifications from different perspectives, complementary to each other, and the keys in quantitative evaluation. Process check is also indispensable to avoid occassionality. Taking complex fault-block sandstone oil reservoir as an example, based on feedback from experts in the petroleum industry, the authors established the quantitative assessment criterion of 3D geological models by multi-parameters. To be specific, thirteen characteristic parameters were chosen, and given weights according to their rated importance, and evaluation standards in percentage with three levels: high, medium and low were established for them, and the final evaluation results were obtained according to the cumulative score. The results show that such evaluation can not only assess the quality of the model objectively and comprehensively, but also identify the aspects in need of improvement through the items of deduction.

Key words： reservoir characterization; geological modeling; quality evaluation; characteristic parameter; reserves estimation; fault-block oil reservoir

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