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81.
河道砂体内部夹层作为储层构型界面,厚度较薄,岩性、遮挡性存在差异,对河道砂体内流体渗流及剩余油分布的影响不尽相同。本文以大庆油田萨北二区为例,利用密闭取芯井岩芯和纵向分辨率较高的微电极测井曲线等资料,以岩芯识别夹层岩性为基础,通过对测井曲线幅值、幅差、回返率交汇分析,优选出微电位回返最低值和微梯度回返率作为夹层岩性判别标准,夹层岩性识别符合率达82%;并以夹层含油性为依据,将夹层按遮挡性分为完全阻流型、强限流型、弱限流型等三种类型;分析密闭取芯井河道砂体内部夹层岩性与遮挡性对应关系,建立了非取芯井河道砂体内部夹层遮挡性的岩性解释法,夹层遮挡性识别符合率达72%。以此为深入研究地下河道砂体内部构型对注入剂驱替路径及剩余油分布的影响奠定基础。 相似文献
82.
Mineral and Lithology Mapping of Drill Core Pulps Using Visible and Infrared Spectrometry 总被引:1,自引:0,他引:1
A novel approach for using field spectrometry for determining both the mineralogy and the lithology of drill core pulps (powders) is developed and evaluated. The methodology is developed using material from a single drillhole through a mineralized sequence of rocks from central New South Wales. Mineral library spectra are used in linear unmixing routines to determine the mineral abundances in drill core pulps that represent between 1 m and 3 m of core. Comparison with X-Ray Diffraction (XRD) analyses shows that for most major constituents, spectrometry provides an estimate of quantitative mineralogy that is as reliable as that provided by XRD. Confusion between the absorption features of calcite and those of chlorite causes the calcite contents determined by spectrometry to be unreliable. Convex geometry is used to recognize the spectra of those samples that are extreme and are representative of unique lithologies. Linear unmixing is used to determine the abundance of these lithologies in each drillhole sample and these abundances are used to interpret the geology of the drillhole. The interpreted geology agrees well with conventional drillhole logs of the visible geology and photographs of the split core. The methods developed provide a quick and cost-effective way of determining the lithology and alteration mineralogy of drill core pulps. 相似文献
83.
本文主要应用岩石学理论,对雪1井三叠系雷口坡组、嘉陵江储集层段的沉积、成岩作用进行综合研究。探讨了雪1井三叠系雷口坡组、嘉陵江组储集层段的沉积模式,划出了有利的沉积相带(滩亚相)。认为三叠系雷口坡组、嘉陵江组储层气藏的形成主要受控于沉积和成岩作用,储层主要发育于滩亚相发育部位,滩亚相沉积物必须配之与有利的成岩作用演化序列,才有可能发育成有利储层。 相似文献
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AVO处理解释和岩性识别 总被引:8,自引:5,他引:8
从AVO技术最初用于识别“亮点”等振幅异常开始,特别是近几年来新科技的发展和应用,使该技术在油气勘探领域中具有不可替代的作用。用AVO拟合的纵横波、梯度、近道和远道迭加等剖面,结合AVOC、AVO偏振性分析、交汇图、流体替换、声阻抗、波阻抗、LMR等技术,可以从地震剖面中提取与地层直接相关的岩石物理参数,如λ、μ、K、σ等,进而预测储层的岩性和合流体性。在对这些技术进行了详细的研究后,用实际资料对每一种方法进行验证,总结了一套适用于碳酸岩储层的岩性识别处理解释流程。 相似文献
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89.
Bedrock lithology control on contemporaneous alluvial fan facies, Oligo-Miocene, southern Pyrenees, Spain 总被引:1,自引:0,他引:1
Climate and tectonics play important roles in controlling processes of transport and deposition on alluvial fans, but the bedrock lithology in the fan catchment area is also a significant, independent factor. Adjacent Oligo-Miocene alluvial fan deposits on the northern margin of the Ebro Basin display contrasting depositional characteristics with one dominated by the deposits of debris flows and the other by deposition from flows of water. A difference in clast compositions indicates that the two studied fans (the Nueno and San Julián fans) had contrasting bedrock lithology in their drainage basins. The proximal facies of the Nueno fan body contains matrix-supported conglomerate beds with up to 80% pebble clasts of gypsum in a matrix of gypsiferous sand, interbedded with gypsarenite beds. The drainage basin of this fan was dominated by Triassic bedrock consisting of beds of gypsum, marl and micritic limestone. The San Julián fan body comprises clast-supported, polymict conglomerate beds containing pebbles from Triassic, Cretaceous and Palaeogene limestone units that are exposed in the adjacent part of the basin margin. The interfingering of the deposits of these two fans demonstrates that they were contemporaneous. Given the consistent climate, the differences in fan depositional processes must therefore be attributed to the contrasting bedrock lithology in their drainage basins. A drainage basin consisting mainly of marl and gypsum bedrock provided sufficient fine-grained material to generate debris flows, whereas more dilute, water-lain processes dominated where the drainage basin was largely limestone strata. 相似文献
90.
基于微粒群算法的神经网络在岩性识别上的应用 总被引:1,自引:0,他引:1
针对前馈多层神经网络BP算法存在的易陷入局部最优的不足,采用了微粒群算法(PSO)加以改进。通过胜利油田及其它油田的岩性识别所做的实例验证,并与BP神经网络进行比较,结果表明,在同等条件下,此方法效果较为满意。 相似文献