基于东河1油田东河砂岩储层的岩石物理模型与非均质性表征
发布时间:2018-05-04 00:01
本文选题:东河砂岩 + 岩石物理相 ; 参考:《中国石油大学(北京)》2016年博士论文
【摘要】:东河1油田石炭系滨岸相东河砂岩碎屑岩油藏是国内首例海相整装块状底水油藏,然而针对其储层特征的研究缺乏完整性,非均质性主控因素、成因机理认识存在不足,而基于常规渗透率模型的非均质性表征方法又无法真实地反映储层特征的井间差异变化。因此,本论文从沉积、成岩和构造分析入手,重新厘定了不同类型储层的主控因素,确定了微观储集空间的成因机理,并结合岩石物理研究,将岩心、测井、地震资料综合应用于不同类型储层岩石物理表征中,以期达到指导油田开发调整的目的。东河砂岩储层为三角洲背景下的滨岸沉积,根据沉积环境的差异将滨岸相储层划分为12种具有不同成因类型的微相;通过薄片分析发现东河砂岩储层主要发育压实、胶结、交代和溶蚀4大类成岩作用,经历了同沉积、早期压实、表生成岩、早成岩和中成岩5个阶段,目前主体处于中成岩阶段A期,主要发育6种不同的成岩相类型。综合沉积相和成岩相的研究成果认为:河道改造型坝、河口坝改造型坝和粘土环边胶结成岩相叠合区的储层物性最好,储层内部孔喉连通性好,非均质性弱。通过沉积相、成岩相主控要素的叠加,将东河砂岩储层划分为8大类岩石物理相,其中PF2类岩石物理相宏观物性最好,微观孔喉连通性好。东河砂岩储层特征分析表明,其岩石基质主要由石英、长石、岩屑和填隙物组成,孔隙类型主要为剩余原生粒间孔、次生粒间溶孔和粒内溶孔,孔隙流体为油、水两相,据此建立了东河砂岩储层的岩石物理模型,并通过岩石物理理论公式的推导,确定了微观储层特征和宏观岩石弹性模量之间的定量关系。在此基础上,基于东河砂岩岩石物理模型进行了横波预测,并通过与其他不同预测方法的类比,发现其具有更高的表征精度。通过沉积相、成岩相的叠合分析,并考虑不同尺度资料的统一,最终确定了岩心、测井、地震尺度3大类岩石物理相的划分方案;不同岩石物理相类型的储层具有不同的测井响应和地震AVO特征,据此,通过岩石物理分析,确定了基于不同尺度资料岩石物理相定量参数的表征方法,且避免了干岩模量的求解,并以此定量参数为约束重建了渗透率模型,实现了非均质性的高精度表征;最后,利用叠前地震资料进行了基于岩石物理分析的岩石物理相参数、孔隙度和渗透率反演,并结合静态地质分析结果,对潜在优势通道进行了预测。
[Abstract]:Carboniferous shoreline Donghe sandstone clastic rock reservoir in Donghe 1 oilfield is the first case of marine integrated bulk bottom water reservoir in China. However, the study on its reservoir characteristics lacks integrity, heterogeneity dominating factors, and insufficient understanding of genetic mechanism. However, the heterogeneity representation method based on the conventional permeability model can not truly reflect the cross-well variation of reservoir characteristics. Therefore, starting with the analysis of deposition, diagenesis and structure, this paper redefined the main controlling factors of different types of reservoirs, determined the genetic mechanism of microreservoir space, and combined with the study of rock physics, the core, logging, The seismic data are comprehensively applied to the petrophysical characterization of different types of reservoirs in order to guide the development and adjustment of oil fields. Donghe sandstone reservoir is a shoreline deposit in the delta background, which is divided into 12 microfacies with different genetic types according to the difference of sedimentary environment, and it is found that the Donghe sandstone reservoir is mainly compacted and cemented by thin slice analysis. Four types of diagenesis, metasomatism and dissolution, have undergone five stages: synsedimentary, early compaction, epigenetic rock, early diagenesis and middle diagenesis. At present, the main body is in stage A of middle diagenesis, and six types of diagenetic facies are mainly developed. The research results of sedimentary facies and diagenetic facies show that the reservoir physical properties are the best, the porosity and throat connectivity are good, and the heterogeneity is weak in the combination area of sedimentary facies and diagenetic facies. Through the superposition of sedimentary facies and diagenetic facies, Donghe sandstone reservoir can be divided into 8 types of petrophysical facies, in which PF2 type rock physical facies is the best in macroscopic physical properties and microcosmic pore throat connectivity is good. The analysis of the reservoir characteristics of Donghe sandstone shows that the rock matrix is mainly composed of quartz, feldspar, lithic debris and interstitial matter. The pore types are mainly residual primary intergranular pore, secondary intergranular dissolved pore and intragranular dissolved pore, and the pore fluid is oil and water. Based on this, the rock physical model of Donghe sandstone reservoir is established, and the quantitative relationship between microscopic reservoir characteristics and macroscopic rock elastic modulus is determined by deducing the theoretical formula of rock physics. On this basis, the S-wave prediction is carried out based on the Donghe sandstone petrophysical model and compared with other prediction methods, it is found that it has higher characterization accuracy. Through the superposition analysis of sedimentary facies and diagenetic facies and considering the unification of data of different scales, the classification scheme of rock physical facies of core, logging and seismic scale is finally determined. The reservoir with different petrophysical facies types has different logging response and seismic AVO characteristics. Based on the analysis of rock physics, the quantitative parameters of rock physical facies based on different scales are determined. The calculation of dry rock modulus is avoided, and the permeability model is reconstructed with quantitative parameters as constraints, which realizes the high accuracy characterization of heterogeneity. Finally, the rock physical phase parameters based on rock physical analysis are carried out by using prestack seismic data. Porosity and permeability inversion are combined with static geological analysis to predict the potential dominant channels.
【学位授予单位】:中国石油大学(北京)
【学位级别】:博士
【学位授予年份】:2016
【分类号】:P618.13
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本文编号:1840659
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