潘保芝,
房春慧,
郭宇航^,,
张丽华,
雷健,
范雨霏
吉林大学地球探测科学与技术学院, 长春 130046

基金项目: 中国博士后科学基金（2017M621200，2018T110245）资助


详细信息

作者简介: 潘保芝, 女, 1962年生, 教授, 从事岩石物理和测井解释研究.E-mail:panbz@jlu.edu.cn

通讯作者: 郭宇航, 男, 1988年生, 博士后, 从事岩石物理和测井解释研究.E-mail:guoyuhang@jlu.edu.cn

中图分类号: P631

收稿日期:2017-11-27
修回日期:2018-10-12
上线日期:2018-12-05

Logging evaluation and productivity prediction of Sulige tight sandstone reservoirs based on petrophysics transformation models

PAN BaoZhi,
FANG ChunHui,
GUO YuHang^,,
ZHANG LiHua,
LEI Jian,
FAN YuFei
College of Geo-exploration Science and Technology, Jilin University, Changchun 130046, China



More Information

Corresponding author: GUO YuHang,E-mail:guoyuhang@jlu.edu.cn

MSC: P631

--> Received Date: 27 November 2017
Revised Date: 12 October 2018
Available Online: 05 December 2018


摘要
摘要:苏里格地区致密砂岩储层勘探开发难度很大，测井解释遇到了储层参数计算和产能预测不准确的问题.本文针对这些难点，基于已有的转换模型，推导并验证了T₂-I和T₂-K_r转换模型，提出了采用转换模型应用于测井综合解释和产能预测的方法.基于实验数据设定孔径大于1 μm的孔隙为大孔，中孔孔径在1 μm和0.03 μm之间，小孔孔径为0.03 μm以下.并建立了不同孔径范围模型中关键参数α与核磁参数T_2lm的关系，这为转换模型在测井解释中的应用提供了必要条件.本文在苏里格西区分别应用T₂-I和T₂-K_r转换模型求取含水饱和度和相对渗透率曲线，并进行产能预测，处理结果显示该方法具有很好的应用效果.
关键词: 致密砂岩/
转换模型/
相对渗透率/
核磁T₂分布/
产能预测

Abstract:The exploration and development of tight sandstone reservoirs in the Sulige area are very difficult. Log interpretation has encountered inaccuracies in reservoir parameters calculation and productivity prediction. In view of these difficulties, the T₂-I and T₂-K_r models were derived and validated based on the existing transformation models. We also put forward a method of applying the transformation models to comprehensive logging interpretation and productivity prediction. Based on the experimental results, the transformation process needs to be divided into sections, we set the pore radius which greater than 1 μm as the macropore, the mesopore ranged from 1 μm and 0.03 μm, and the micropore was set as the pore radius below 0.03 μm. And we established the relationship between the key parameter α and NMR (Nuclear Magnetic Resonance) logging parameter T_2lm in different sections of pore size, which provided the necessary conditions for the application of the transformation models in logging interpretation. Using the T₂-I and T₂-K_r models in the western Sulige area, the water saturation and relative permeability curves were obtained and the productivity prediction was carried out. The conclusions of comprehensive logging interpretation showed that our method achieved good results.
Key words:Tight sandstone/
Transformation model/
Relative permeability/
NMR T₂ distribution/
Productivity prediction



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