[1]李婷婷,成志刚,石玉江,等.基于地层元素测井资料的陇东长7储层矿物含量精确计算[J].测井技术,2019,43(03):303-309.[doi:10.16489/j.issn.1004-1338.2019.03.016]
 LI Tingting,CHENG Zhigang,SHI Yujiang,et al.An Accurate Method of Computing the Mineral Content in Longdong Chang 7 Reservoir by Elemental Capture Spectroscopy Logging Data[J].WELL LOGGING TECHNOLOGY,2019,43(03):303-309.[doi:10.16489/j.issn.1004-1338.2019.03.016]
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基于地层元素测井资料的陇东长7储层矿物含量精确计算()
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《测井技术》[ISSN:1004-1338/CN:61-1223/TE]

卷:
第43卷
期数:
2019年03期
页码:
303-309
栏目:
解释评价
出版日期:
2019-08-30

文章信息/Info

Title:
An Accurate Method of Computing the Mineral Content in Longdong Chang 7 Reservoir by Elemental Capture Spectroscopy Logging Data
文章编号:
1004-1338(2019)03-0303-07
作者:
李婷婷1 成志刚1 石玉江2 席辉1 罗少成1 郭笑锴1
(1.中国石油集团测井有限公司, 陕西 西安 710077; 2.长庆油田勘探开发研究院, 陕西 西安 710018)
Author(s):
LI Tingting1 CHENG Zhigang1 SHI Yujiang2 XI Hui1 LUO Shaocheng1 GUO Xiaokai1
(1. China Petroleum Logging CO. LTD., Xi'an, Shaanxi 710077, China; 2. Research Institute of Exploration and Development, Changqing Oilfield Company, Xi'an, Shaanxi 710018, China)
关键词:
测井解释 地层元素测井 元素含量 矿物含量 陇东长7储层
Keywords:
log interpretation elemental capture spectroscopy element content mineral content Longdong Chang 7 reservoir
分类号:
P631.84
DOI:
10.16489/j.issn.1004-1338.2019.03.016
文献标志码:
A
摘要:
陇东长7油藏具有储层致密、岩性复杂、非均质性强等特征,传统方法难以准确计算矿物含量,容易漏失储层。利用地层元素测井资料可以建立针对地区地质特点的高精度矿物含量计算模型,从而准确划分出有效储层。以鄂尔多斯盆地陇东延长组长7储层为研究主体,以X衍射数据和地层元素测井数据为基础,利用地层元素测井资料分别建立元素识别矿物大类、岩石精细矿物计算模型; 在没有岩心资料的情况下,则采用另一种方法,即在明确了地区矿物大类的基础上,建立元素含量与主要矿物含量的解释模型,并通过最优化算法计算出矿物含量。经过岩心资料的验证,模型计算矿物含量平均绝对误差为2.75%,平均相对误差为0.216%,满足了该区矿物含量精确计算的要求。
Abstract:
Chang 7 reservoir is tight, complex and heterogenous. It is difficult to accurately calculate the mineral content by a traditional method, which often neglects effective reservoir. Elemental capture spectroscopy logging can be used to establish a high-precision mineral content model based on regional geological features, for accurately identifying effective reservoirs. In this paper, taking the Chang 7 reservoir of the Yanchang formation in the Ordos basin as an example, and based on X-ray diffraction and Elemental Capture Spectroscopy logging data, a regional element identification model and a fine mineral calculation model are established. Without core data, another method is used, that is to first establish an interpretation model for estimating element content and primary minerals after understanding regional mineral composition, and then calculate the mineral content by an optimization algorithm. Verification with core data to the mineral content from the models indicates that the average absolute error is 2.75%, and the average relative error is 0.216%. The models are useful in this area.

参考文献/References:

[1] 孙建孟, 姜东, 尹璐. 地层元素测井确定矿物含量的新方法 [J]. 天然气工业, 2014, 34(2): 42-47. [2] 张文正, 杨华, 李剑锋, 等. 论鄂尔多斯盆地长7段优质油源岩在低渗透油气成藏富集中的主导作用-强生排烃特征及机理分析 [J]. 石油勘探与开发, 2006, 33(3): 289-293. [3] 吴松涛, 邹才能, 朱如凯, 等. 鄂尔多斯盆地上三叠统长7段泥页岩储集性能 [J]. 地球科学, 2015(11): 1810-1823. [4] 章海宁, 张金功, 岳爱忠, 等. 利用地层元素识别沉积岩岩性和矿物含量计算方法 [J]. 测井技术, 2016, 40(6): 683-688. [5] 赵政璋, 杜金虎. 致密油气 [M]. 北京: 石油工业出版社, 2012: 197-209. [6] 邹才能, 杨智, 崔景伟, 等. 页岩油形成机制、地质特征及发展对策 [J]. 石油勘探与开发, 2013, 40(1): 14-25. [7] 吴勇, 侯雨庭, 李会庚, 等. 高精度地层元素测井在页岩油储层评价中的应用: 以鄂尔多斯盆地长7段为例 [J]. 非常规油气, 2016.3(2): 1-10. [8] 廖东良, 陆黄生, 赵文杰. 运用ECS评价页岩地层矿物含量解释方法研究 [C]∥中国石油学会”第十八届测井年会”学术论文集, 2014.

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备注/Memo

备注/Memo:
基金项目: 中国石油天然气股份有限公司重大科技专项“复杂油气藏地震预测与测井识别技术研究”(2016E-0503) 第一作者: 李婷婷,女,1986年生,从事测井资料解释与评价工作。E-mail:569710061@qq.com
更新日期/Last Update: 2019-08-30