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首页> 外文OA文献 >Porosity Characterization Utilizing Petrographic Image Analysis: Implications for Identifying and Ranking Reservoir Flow Units, Happy Spraberry Field, Garza County, Texas.
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Porosity Characterization Utilizing Petrographic Image Analysis: Implications for Identifying and Ranking Reservoir Flow Units, Happy Spraberry Field, Garza County, Texas.

机译：利用岩相图像分析进行孔隙度表征：确定和分级储层流动单元的意义，德克萨斯州加尔萨县快乐Spraberry油田。

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摘要

The Spraberry Formation is traditionally thought of as deep-water turbidites in the central Midland Basin. At Happy Spraberry field, Garza County, Texas, however, production is from a carbonate interval about 100 feet thick that has been correlated on seismic sections with the Leonardian aged, Lower Clear Fork Formation. The "Happy field" carbonates were deposited on the Eastern Shelf of the Midland Basin and consist of oolitic skeletal grainstones and packstones, rudstones and floatstones, in situ Tubiphytes bindstones, and laminated to rippled, very-fine grained siltstones and sandstones. The highest reservoir "quality" facies are in the oolitic grainstones and packstones where grain-moldic and solution-enhanced intergranular porosity dominate. Other pore types present include incomplete grain moldic, vuggy, and solution-enhanced intramatrix.The purpose of this study was to relate pore geometry measured by digital petrographic image analysis to petrophysical characteristics, and finally, to reservoir quality. Image analysis was utilized to obtain size, shape, frequency, and total abundance of pore categories. Pore geometry and percent porosity were obtained by capturing digital images from thin sections viewed under a petrographic microscope. The images were transferred to computer storage for processing with a commercial image analysis program trademarked as Image Pro Plus (Version 4.0). A classification scheme was derived from the image processing enabling "pore facies" to be established. Pore facies were then compared to measured porosity and permeability from core analyses to determine relative "quality" of reservoir zones with different pore facies. Pore facies are defined on pore types, sizes, shapes, and abundances that occur in reproducible associations or patterns. These patterns were compared with porosity and permeability values from core analyses. Four pore facies were identified in the Happy field carbonates; they were examined for evidence of diagenetic change, depositional signatures, and fractures. Once the genetic categories were established for the four pore facies, the pore groups could be reexamined in stratigraphic context and placed in the stratigraphic section across Happy field. Finally, the combined porosity and permeability values characteristic of each pore facies were used to identify and rank good, intermediate, and poor flow units at field scale.
机译：传统上，Spraberry组被认为是Midland盆地中部的深水浊积体。然而，在得克萨斯州加尔萨县的Happy Spraberry油田，产量来自约100英尺厚的碳酸盐岩层段，该地震层段与Leonardian年代久远的下透明前叉地层相关。 “快乐田”碳酸盐沉积在米德兰盆地东部的陆架上，由鲕粒骨架的花岗石和堆积石，rutstone和浮石，原位的Tubiphytes粘结石组成，并层压成波纹状的细粒粉砂岩和砂岩。储层“品质”相最高的是鲕粒粒岩和堆积岩，其中粒状和固溶增强的粒间孔隙度占主导。目前存在的其他孔隙类型包括不完整的颗粒发霉，蓬松和溶液增强的基质。本研究的目的是将通过数字岩相图像分析测量的孔隙几何形状与岩石物理特征相关，最后与储层质量相关联。利用图像分析来获得孔类别的大小，形状，频率和总丰度。孔的几何形状和孔隙率百分数是通过在岩石显微镜下观察薄壁部分的数字图像而获得的。图像被转移到计算机存储器中，并使用商标为Image Pro Plus（版本4.0）的商业图像分析程序进行处理。从图像处理中得出分类方案，从而可以建立“孔相”。然后将孔隙相与岩心分析中测得的孔隙度和渗透率进行比较，以确定具有不同孔隙相的储层的相对“质量”。孔隙相以可再现的关联或模式出现的孔隙类型，大小，形状和丰度定义。将这些模式与岩心分析中的孔隙度和渗透率值进行了比较。在快乐油田碳酸盐岩中发现了四个孔隙相；他们检查了成岩变化，沉积特征和裂缝的证据。一旦确定了四个孔隙相的成因类别，就可以在地层学背景下重新检查孔隙组，并将其置于Happy油田的地层剖面中。最后，结合每个孔隙相的孔隙度和渗透率特征值，在田间尺度上识别并确定良好，中等和较差的流动单位。

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    Layman John Morgan II;

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  • 年度 2004
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