Polymodality of Secondary Kaolinite Distribution in Open Sandy Reservoir Systems

IF 0.6 4区 工程技术 Q4 ENGINEERING, CHEMICAL Theoretical Foundations of Chemical Engineering Pub Date : 2025-02-07 DOI:10.1134/S0040579524601456
I. A. Melnik
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Abstract

Numerous studies by various authors on the results of transformation of open systems have shown that the intensities and contents of the transformed elements have a polymodal form of statistical distribution in the case of external influence on the system. Apparently, the essence of the phenomenon of statistical polymodality of transformation of systems is universal. Therefore, the universal theory of polymodal distribution formation can be used to analyze samples of secondary mineral contents in permeable sand reservoirs, which are open systems. Obviously, each mode of the polymodal statistical distribution of the transformed elements will be the result of the manifestation of some attractor. The purpose of this paper is to present a universal kinematic theory of the formation of a polymodal statistical distribution of the number of transformed elements of an open system, where secondary clay minerals, kaolinites subjected to the process of superimposed epigenesis in a sandy reservoir, are considered as the formed elements. The objects of the study are samples of secondary kaolinitization intensity values in sand intervals of oil and gas fields of the Yamal Peninsula and the contents of secondary kaolinite (determined from the core) in the Upper Jurassic sand strata of the Stolbovoye oil-and-gas field. The process of secondary kaolinitization is due to the influence of deep fluids. The research method was determined on the basis of the obtained equation of unified modes of a polymodal distribution of the number of transforming elements (in the process of transformation of systems). The number (intensity) of transformed elements is proportional to the ratio of the system transformation time to the flow time of the external influence on the elements of this system. Seven basic constants (attractors) related to the “golden” proportion are theoretically calculated, bringing them into conformity with the universal principles of system transformation process states. Having compared the constants obtained theoretically with the calculated unified values of the modes of the empirical data, the states of the system-transformation processes with respect to each mode are determined. Analysis of the modes calculated in the polymodal distribution of the secondary kaolinite intensities and kaolinite content, as well as comparison of the mode values (with the corresponding transformation principle) with the empirical data on the transformation processes, give evidence for the validity of the universal kinematic theory. Thus, using universal principles of transformation, on the basis of the determined contents of secondary kaolinite in the studied intervals of the permeable strata, it is possible to identify zones with desired chemical and hydrodynamic properties and characteristics.

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开阔砂质储层体系次生高岭石分布的多态性
许多作者对开放系统变换结果的大量研究表明,在系统受到外部影响的情况下,变换元素的强度和含量具有统计分布的多模态形式。显然,系统变换的统计多态现象的本质具有普适性。因此,多模态分布地层的通用理论可用于分析开放体系的渗透砂岩储层中次生矿物含量的样品。显然,变换后的元的多模态统计分布的每一个模态都是某个吸引子表现的结果。本文的目的是提出一种普遍的运动学理论,说明开放体系中转化元素数量的多模态统计分布的形成,其中次生粘土矿物,即砂质储层中受叠加后成过程影响的高岭石,被认为是形成的元素。研究对象为亚马尔半岛油气田砂层次生高岭石化强度值样品和斯托尔博沃耶油气田上侏罗统砂层次生高岭石含量(岩心测定)样品。次生高岭土化过程受深部流体的影响。研究方法是在得到系统变换过程中变换单元数的多模态分布的统一模态方程的基础上确定的。转换元素的数量(强度)与系统转换时间与外部影响系统元素的流动时间之比成正比。从理论上计算了与“黄金”比例有关的七个基本常数(吸引子),使它们符合系统转换过程状态的普遍原理。将理论得到的常数与经验数据模态的计算统一值进行比较,确定了系统变换过程相对于每个模态的状态。分析了二次高岭石强度和高岭石含量多模态分布的计算模态,并将模态值(相应的变换原理)与变换过程的经验数据进行了比较,为通用运动学理论的有效性提供了证据。因此,利用普遍的转化原理,在研究的渗透层段中确定的次生高岭石含量的基础上,有可能确定具有所需化学和水动力性质和特征的区域。
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来源期刊
CiteScore
1.20
自引率
25.00%
发文量
70
审稿时长
24 months
期刊介绍: Theoretical Foundations of Chemical Engineering is a comprehensive journal covering all aspects of theoretical and applied research in chemical engineering, including transport phenomena; surface phenomena; processes of mixture separation; theory and methods of chemical reactor design; combined processes and multifunctional reactors; hydromechanic, thermal, diffusion, and chemical processes and apparatus, membrane processes and reactors; biotechnology; dispersed systems; nanotechnologies; process intensification; information modeling and analysis; energy- and resource-saving processes; environmentally clean processes and technologies.
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