利用井资料研究生产系列岩石物性参数

IF 0.6 Q4 GEOCHEMISTRY & GEOPHYSICS Geofizicheskiy Zhurnal-Geophysical Journal Pub Date : 2023-07-03 DOI:10.24028/gj.v45i3.282421
K. Kerimova
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引用次数: 0

摘要

过去几年来,现有地球物理技术的进步使使用这套工具解决的问题范围更广。这些工具可以解决关键任务,如地质剖面的岩性研究、对比、饱和度、孔隙度、渗透率和粘土含量的评估,以及油气和水饱和层的轮廓。在解决这些问题的过程中出现的复杂问题直接取决于储层的岩石物理参数。例如,油层和水层的电阻率值相似,导致粘土分数值高,孔隙度变化范围大,这使得油层和水层的区分变得复杂。另一方面,储层胶结粘土量的增加导致孔隙度(Kpor)下降,残余含水饱和度增加。本文利用综合井资料,设计了定义储层岩石物性参数相互关系的模型,并根据这些参数的分布建立了回归方程。设计了不同井段孔隙度、渗透率、粘土含量、含油饱和度的变化模型。这使得评价储层的过滤能力特征和建立储层岩石物性参数之间的相关性成为可能,从而获得该油田的相关信息。利用Balakhany油田条件标记为1、2、3、4的井段,绘制了Qirmaky套储层(QD-1、QD-2、QD-3、QD-4)渗透率系数变化的条形图。通过分析所构建的直方图,我们可以根据渗透率对所研究的集电极层进行分类。井1剖面所研究的17层中,只有17层渗透率很好,其余16层渗透率都很好;2井17层渗透率均较好;3井17层中,第3层渗透率较差,第6、7、14层渗透率一般,其余层渗透率较好;4井12层渗透率均较好。研究对象为Balakhany油田生产系列Qirmaky套(QD-1、QD-2、QD-3、QD-4)。
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Study of petrophysical parameters of productive series by use of well data
The progress of existing geophysical techniques for the last years led to a wider scope of the problems resolved using this set of tools. The tools allow tackling pivotal tasks such as the study of lithology in a geological section, correlation, evaluation of saturation, porosity, permeability, and clay fraction, and outlining of oil-gas and water-saturated layers. Complications emerging while resolving these problems directly depend on the petrophysical parameters of reservoir layers. For instance, similar values of resistivity in oil and water layers result in high value of clay fraction and variation of porosity in a wide range and this complicates distinguishing the oil and water layers. On the other hand, it is known that an increase of cementing clay amount in reservoirs causes drop of porosity (Kpor.) and increase of residual water saturation. This paper is devoted to design of models defining correlation between petrophysical parameters of reservoir layers by use of integrated well data and establishing regression equations from these parameters’ distributions. Models of variation of porosity, permeability, clay fraction and oil and gas saturation through the sections of wells were also designed. They made it possible to evaluate filtration-capacity characteristics and establish correlation between petrophysical parameters of reservoir layers and gain information about this field. The bar graph was drawn for permeability coefficient variation through studied reservoirs in Qirmaky suite (QD-1, QD-2, QD-3, QD-4) by use of sections of wells conditionally marked as 1, 2, 3, and 4 in the Balakhany field. Analysis of the constructed histograms allows us to classify the studied collector layers according to their permeability. Of the 17 layers studied in section of well 1, only Layer 17 has very good permeability, the other 16 are of good permeability; all 17 layers of well 2 have good permeability characteristics; of the 17 layers of well 3, Layer 3 is of poor permeability, layers 6, 7, and 14 have average permeability, and the rest are of good permeability; all 12 layers of well 4 have good permeability. The study target is Qirmaky suite (QD-1, QD-2, QD-3, QD-4) of the Productive Series in Balakhany field.
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来源期刊
Geofizicheskiy Zhurnal-Geophysical Journal
Geofizicheskiy Zhurnal-Geophysical Journal GEOCHEMISTRY & GEOPHYSICS-
自引率
60.00%
发文量
50
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