Al-Shareif Ahmed W, Khalifa Mohamed A, Nabawy Bassem S, Abu-Hashish Mohamed F, Hassan Noha M
Department of Geology, Faculty of Science, Menoufia University, Shibin El Kom, El Menoufia, Egypt.
El Wastani Petroleum Company (WASCO), 5th Settlement, New Cairo, Egypt.
Sci Rep. 2025 May 7;15(1):15926. doi: 10.1038/s41598-025-97780-z.
Exploration of the heterogeneous sandstone reservoirs presents a significant opportunity within the Nile Delta Basin. This study uses the well log, core, and petrographical data to describe the different rock types and characterizes the heterogenous sandstone of the Late Miocene Messinian Abu Madi reservoir as one of the main prolific reservoirs in the South Abu El Naga Gas Field in the Nile Delta. However, accurate assessment of the potential of these complex and heterogeneous sandstone reservoirs requires a meticulous approach. The available data was imported from four wells: SAEN-2, SAEN-4, SAEN-6, and SAEN-9. A total of 35 core plugs, which were derived from two cored intervals in the SAEN-2 well, were used in a well-integrated workflow for reservoir characterization, facies analysis, and rock typing. Core analysis (grain density 'ρ', helium porosity '∅', horizontal and vertical permeabilities 'k & k', and water saturation 'Sw') and well log data (caliper, gamma-ray, spontaneous potential, PEF, density, neutron, and resistivity logs) provided crucial insights into the lithology, pore systems, and textures. This information allowed us to define the dominant microfacies types as quartz arenite, feldspathic arenite, quartz wacke/wacke, feldspathic wacke, and subfeldspathic wacke. With the core data, it was also possible to estimate the reservoir quality index (RQI), flow zone indicator (FZI), and the effective pore radius (R) from core data, while the net pay thickness, the effective porosity, the shale volume (V), and the water saturation (Sw) from the well log data. It also enabled the identification of the potential zones of the gas-bearing reservoirs. Hydraulic flow units (HFUs) were established using well logs and core data. These units represent zones with similar fluid flow properties, facilitating the prediction of gas deliverability. Additionally, the flow zone indicator (FZI) that derived from the well logs further characterized the flow regime within the reservoir. Sedimentological studies, including thin section petrography, XRD, and SEM, complemented with the well log interpretation. This integrated workflow provided a comprehensive perspective of the reservoir, including pore structures, mineral composition, and textures. The Abu Madi Formation in the SAEN-9 well, to the northeast of the field, has the lowest net pay (7.3 m), while the SAEN-2 well, in the center of the field, has the highest net pay thickness (16.6 m). The core studies indicate that SAEN samples could be divided into four reservoir rock types (RRTs). The RRT1 has the lowest reservoir quality (0.12 ≤ ∅ ≤ 0.26, 2.4 ≤ k ≤ 429 mD, 54.9 ≤ Sw ≤ 70.5%, 0.14 ≤ RQI ≤ 1.22 μm, 0.82 ≤ FZI ≤ 3.863 μm, and 1.055 ≤ R ≤ 11.41 μm), while the RRT4 has the best reservoir quality (0.25 ≤ ∅ ≤ 0.28, 2680 ≤ k ≤ 4893 mD, 45.4 ≤ Sw ≤ 55.3%, 3.24 ≤ RQI ≤ 4.13 μm, 9.72 ≤ FZI ≤ 10.59 μm, and 34.668 ≤ R ≤ 44.78 μm). This study demonstrates the effectiveness of an integrated approach in comprehensively assessing the potential gas-bearing reservoirs and defining their quality in the Abu Madi Formation in the Nile Delta, which is characterized by very good reservoir quality (net pay thickness = 7.3-16.6 m, av. porosity = 23.3-30.35%, and av. water saturation = 31.7-64.0% for the various wells). The findings contribute significantly to optimizing exploration and development strategies for gas-bearing hydrocarbon resources in the Nile Delta Basin, especially for the Abu Madi reservoir.
对非均质砂岩储层的勘探为尼罗河三角洲盆地带来了重大机遇。本研究利用测井、岩芯和岩石学数据来描述不同的岩石类型,并将中新世晚期墨西拿阶阿布马迪储层的非均质砂岩表征为尼罗河三角洲南阿布埃尔纳加气田的主要高产储层之一。然而,要准确评估这些复杂非均质砂岩储层的潜力,需要采用细致的方法。现有数据来自四口井:SAEN - 2、SAEN - 4、SAEN - 6和SAEN - 9。总共35个岩芯塞取自SAEN - 2井的两个取芯间隔,用于一个综合的工作流程,以进行储层表征、相分析和岩石分类。岩芯分析(颗粒密度“ρ”、氦孔隙度“∅”、水平和垂直渗透率“k & k”以及含水饱和度“Sw”)和测井数据(井径、伽马射线、自然电位、光电效应、密度、中子和电阻率测井)为岩性、孔隙系统和结构提供了关键见解。这些信息使我们能够确定主要的微相类型为石英砂岩、长石砂岩、石英杂砂岩/杂砂岩、长石杂砂岩和亚长石杂砂岩。利用岩芯数据,还可以从岩芯数据估算储层质量指数(RQI)、流动带指标(FZI)和有效孔隙半径(R),同时从测井数据估算净产层厚度、有效孔隙度、页岩体积(V)和含水饱和度(Sw)。这也使得能够识别含气储层的潜在区域。利用测井和岩芯数据建立了水力流动单元(HFU)。这些单元代表具有相似流体流动特性的区域,便于预测气体产能。此外,从测井数据得出的流动带指标(FZI)进一步表征了储层内的流动状态。沉积学研究,包括薄片岩石学、XRD和SEM,并辅以测井解释。这种综合工作流程提供了对储层的全面认识,包括孔隙结构、矿物成分和结构。气田东北部的SAEN - 9井中的阿布马迪组净产层最低(7.3米),而气田中心的SAEN - 2井净产层厚度最高(16.6米)。岩芯研究表明,SAEN样品可分为四种储层岩石类型(RRT)。RRT1储层质量最低(0.12≤∅≤0.26,2.4≤k≤429毫达西,54.9≤Sw≤70.5%,0.14≤RQI≤1.22微米,0.82≤FZI≤3.863微米,1.055≤R≤11.41微米),而RRT4储层质量最佳(0.25≤∅≤0.28,2680≤k≤4893毫达西,45.4≤Sw≤55.3%,3.