Reservoir Description of the Subsurface Eagle Ford Formation, Maverick Basin Area, South Texas, USA (SPE 154528)
Reservoir Description of the Subsurface Eagle Ford Formation, Maverick Basin Area, South Texas, USA (SPE 154528)
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美国德克萨斯州南部 Maverick 盆地地区 Eagle Ford 地层地下储层描述 (SPE 154528)
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发表时间：
2012
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通讯作者：
N. Suurmeyer
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作者：
B. Driskill;A. Garbowicz;A. Govert;N. Suurmeyer
鹰滩组（EF）是一个泥灰岩沉积在沿古德克萨斯海岸的一个广阔的大陆架上。它在马弗里克盆地最厚，这是一个与地壳变薄有关的小凹陷。收集的数据集包括岩心、岩屑、化学介层、生物层和测井。从岩心和岩屑中获取岩心CT扫描、薄片、SEM图像、FIB-SEM体积和XRD/XRF表。这些数据的目的是了解EF的沉积过程和岩石结构，并建立储层性质的预测模型。区域EF研究从400多个测井曲线的相关性开始。对比采用基于测井特征的层序地层格架（SSF），并用灰分对比、生物地层和化介层进行了细化。将岩心、岩心CT扫描和SEM/FIB-SEM结果与SSF进行比较。这些数据提供了对氧气和能量水平波动模式的见解，这些模式随后被纳入沉积模型（DM）。DM显示复合准层序的区域模式，其中TOC、孔隙度、碳酸盐含量和岩石结构等属性可预测。SEM/FIB-SEM图像显示，有机质孔隙主要分布在粒间或有机质内部，有机质孔隙的结构与成熟度有关。利用SSF，可以沿EF趋势预测储层物性，具有良好储层物性的EF旋回可以根据油气流体带绘制出产量风险图。通过了解准层序不同部分叠置的方式和位置，可以更好地预测井的地理和地层甜点。每一种非常规玩法都是独一无二的；适用于油藏描述和风险映射的方法并不总是适用于另一个。因此，重要的是要记录每种策略在每种玩法中起作用。
The Eagle Ford Formation (EF) is a marl deposited during a highstand on a broad shelf along the paleo-Texas coast. It is thickest in the Maverick Basin, a small sag related to crustal thinning. Datasets were collected including core, cuttings, chemostrat, biostrat, and well logs. From the core and cuttings, core CT scans, thin sections, SEM images, FIB-SEM volumes, and XRD/XRF tables were acquired. The purpose of the data was to understand EF depositional processes and rock textures, and to create a predictive model for reservoir properties. The regional EF study began with correlation of 400+ logs. The correlation involved a sequence stratigraphic framework (SSF) based on log character and refined with ash correlations, biostrat and chemostrat. Texture seen in core, core CT scans, and the SEM/FIB-SEM work was compared to the SSF. These data gave insights into patterns of fluctuating oxygen and energy levels which were then included into the depositional model (DM). The DM shows regional patterns of composite parasequences in which properties such as TOC, porosity, carbonate content and rock texture are predictable. SEM/FIB-SEM images show that pores in the EF are mainly intergranular or within organic matter (OM), and that the structure of OM pores is related to maturity level. Using the SSF, reservoir properties can be predicted along the EF trend: cycles of EF with good reservoir properties can be mapped with respect to hydrocarbon fluid zones to yield risk maps. By understanding how and where different parts of a parasequence stack you can better predict sweet spots for well productivity, both geographically and stratigraphically. Each unconventional play is unique; what works for reservoir characterization and risk mapping in one is not always applicable to another. It is important, then, to document which strategies work in each play.