Practical approach for sand-shale mixtures classification based on rocks multi-physical properties

IF 2.2 3区 地球科学 Q2 GEOSCIENCES, MULTIDISCIPLINARY
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Abstract

Sandstones are the most common reservoir rocks, providing reservoirs for oil and gas and serving as reservoirs for groundwater. The Gulf of Mexico is known for its sand-shale mixtures and potential for its oil and hydrate gas resources in sandstone units. Understanding these variations is essential for assessing hydrocarbon potential and unconventional prospectivity. In this study, we utilized the Elastic, Electrical, and Radioactive (EER) properties of rocks for lithological categorization of well logging data, leading to the development of a novel rock physics template. The electrical and radioactive properties of the rocks facilitated a broad lithological classification, while their elastic characteristics helped distinguish between porous and low-porosity zones. Electrical and radioactive properties are utilized for well data classification because in sandstone formations, there is a decrease in log gamma and an increase in log resistivity. As a result, these opposing shifts in the two geophysical logs enhance the spread of data points on the lithological resistivity-gamma ray scatter plot, thereby simplifying the process of lithological categorization. Ultimately, the well logging data was sorted into three distinct categories: low shale sands (shale volume < 30 %), sand-shale mixtures (shale volume = 30 to 80 %), and shale-dominated areas. Subsequently, the Thomas Stieber model was employed to identify the types of clay minerals present in both sandstones and sand-shale mixtures. The model's findings revealed that dispersed type clay minerals are predominantly found in sandstones, with laminar and structured types being relatively rare. However, in sand-shale mixtures, both dispersed and laminar clays observed.
基于岩石多物理特性的砂页岩混合物分类实用方法
砂岩是最常见的储层岩石,既是石油和天然气的储层,也是地下水的储层。墨西哥湾以其砂岩-页岩混合物以及砂岩单元中的石油和水合物气体资源潜力而闻名。了解这些变化对于评估油气潜力和非常规勘探至关重要。在这项研究中,我们利用岩石的弹性、电性和放射性(EER)特性对测井数据进行岩性分类,从而开发出一种新型岩石物理模板。岩石的电特性和放射性特性有助于进行广泛的岩性分类,而岩石的弹性特性则有助于区分多孔区和低孔区。电学和放射性特性可用于油井数据分类,因为在砂岩地层中,测井伽马值会降低,而测井电阻率会升高。因此,这两种地球物理测井中的对立变化增强了岩性电阻率-伽马射线散点图上数据点的分布,从而简化了岩性分类过程。最终,测井数据被分为三个不同的类别:低页岩砂(页岩体积 < 30 %)、砂页岩混合物(页岩体积 = 30 至 80 %)和页岩为主的区域。随后,利用托马斯-斯蒂伯模型确定了砂岩和砂页岩混合物中的粘土矿物类型。该模型的研究结果表明,砂岩中主要存在分散型粘土矿物,层状和结构型粘土矿物相对较少。然而,在砂页岩混合物中,既能观察到分散粘土,也能观察到层状粘土。
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来源期刊
Journal of Applied Geophysics
Journal of Applied Geophysics 地学-地球科学综合
CiteScore
3.60
自引率
10.00%
发文量
274
审稿时长
4 months
期刊介绍: The Journal of Applied Geophysics with its key objective of responding to pertinent and timely needs, places particular emphasis on methodological developments and innovative applications of geophysical techniques for addressing environmental, engineering, and hydrological problems. Related topical research in exploration geophysics and in soil and rock physics is also covered by the Journal of Applied Geophysics.
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