火山岩储层分类方法在克百断裂带一区石炭系的应用

罗旭东; 邓世坤; 冯芸; 唐彬; 彭立才; 李响

doi:10.3969/j.issn.1006-6535.2023.01.008

特种油气藏 >

2023 , Vol. 30 >Issue 1: 57 - 64

DOI: https://doi.org/10.3969/j.issn.1006-6535.2023.01.008

地质勘探

火山岩储层分类方法在克百断裂带一区石炭系的应用

罗旭东 ,
邓世坤 ,
冯芸 ,
唐彬 ,
彭立才 ,
李响

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1.中国石油新疆油田分公司,新疆克拉玛依 834000;
2.清华大学,北京 100084;
3.安徽理工大学,安徽淮南 232001

罗旭东(1992—),男,工程师,2016年毕业于东北石油大学资源勘查工程专业,现主要从事油气田开发工作。

收稿日期: 2022-04-12

修回日期: 2022-10-24

网络出版日期: 2023-03-24

基金资助

中国石油新疆油田分公司重大科技专项“准噶尔盆地油藏富集规律及勘探技术研究与应用”(2017E—0401)

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Application of Volcanic Rock Reservoir Classification Method to Carboniferous System in Kebai Fault Area 1

Luo Xudong ,
Deng Shikun ,
Feng Yun ,
Tang Bin ,
Peng Licai ,
Li Xiang

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1. PetroChina Xinjiang Oilfield Company, Karamay, Xinjiang 834000, China;
2. Tsinghua University, Beijing 100084, China;
3. Anhui University of Technology, Huainan, Anhui 232001, China

Received date: 2022-04-12

Revised date: 2022-10-24

Online published: 2023-03-24

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摘要

针对克百断裂带一区石炭系火山岩储层分类难度大且分类标准不统一的问题,利用钻井、测井、测试等资料,分析影响该区火山岩储层分类的8个重要参数:岩性、岩相、基质孔隙度、裂缝孔隙度、渗透率、储集空间类型、岩相厚度和火山机构相带,依据研究区储层特征对这些参数赋值并进行相关储层分类数据计算,结合各单井储层分类成果,得到研究区石炭系火山岩储层分类方法和分类标准。研究结果表明,依据火山岩储层分类指标值(RCI)可将一区石炭系火山岩储层分为3类:Ⅰ类(0.6≤RCI＜1.0)、Ⅱ类(0.4≤RCI＜0.6)、Ⅲ类(0.0≤RCI＜0.4),其中Ⅰ类储层最好、Ⅱ类储层较好、Ⅲ类储层最差。将研究成果应用于未参与制订标准的16口井的储层分类中,准确率达到93.8%,表明该分类标准适用于研究区。研究成果对该区石炭系火山岩储层的分类与预测具有重要指导意义。

关键词： 一区石炭系; 火山岩; 储层分类影响参数; 储层分类方法与标准; 储层预测; 克百断裂

本文引用格式

罗旭东 , 邓世坤 , 冯芸 , 唐彬 , 彭立才 , 李响 . 火山岩储层分类方法在克百断裂带一区石炭系的应用[J]. 特种油气藏, 2023 , 30(1) : 57 -64 . DOI: 10.3969/j.issn.1006-6535.2023.01.008

Abstract

In view of the great difficulty in classifying Carboniferous volcanic rock reservoirs in Kebai Fault Area 1 and the inconsistent classification standards, eight important parameters affecting the classification of volcanic rock reservoirs in this zone are analyzed according to the drilling, logging, testing and other data. The parameters such as lithology, lithofacies, matrix porosity, fracture porosity, permeability, reservoir space type, lithofacies thickness and volcanic mechanism facies zone are assigned according to the reservoir characteristics of the research area and related reservoir classification data are calculated. Combined with the reservoir classification results of each single well, the classification method and classification standard of Carboniferous volcanic rock reservoirs in the research area are obtained. The study results show that according to the classification indicators of volcanic rock reservoirs, the Carboniferous volcanic rock reservoirs in Area 1 can be divided into three types: Type I (0.6≤RCI<1.0), Type II (0.4≤RCI＜0.6), Type (III 0.0≤RCI<0.4), among which Type I reservoirs are the best, Type II reservoirs are the better and Type III reservoirs are the worst. The research results are applied to the reservoir classification of 16 wells that are not involved in the formulation of the standard, and the accuracy rate reaches 93.8%, indicating that the classification standard is suitable for the research area. The research results have important guiding significance for the classification and prediction of Carboniferous volcanic reservoirs in this zone.

Key words： Carboniferous system in Area 1; volcanic rock; influence parameters for reservoir classification; reservoir classification method and standard; reservoir prediction; Kebai Fault

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