首页> 外文期刊>The APPEA Journal >UNDERSTANDING EFFECTIVE AND TOTAL POROSITY: THE KEY TO OPTIMISING MINERALOGICAL PETROPHYSICAL EVALUATIONS
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UNDERSTANDING EFFECTIVE AND TOTAL POROSITY: THE KEY TO OPTIMISING MINERALOGICAL PETROPHYSICAL EVALUATIONS

机译:了解有效孔隙度和总孔隙度:优化矿物岩石物理评估的关键

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摘要

Use of petrophysical evaluation models that rely on predicting mineral composition of reservoir rocks is becoming more prevalent in the oil industry. Evaluation tools such as Schlumberger's Elan or Mincom's Geolog/ Multimin allow prediction of variability in reservoir composition and petrophysical parameters. These are particularly useful in cases where assuming constant lithology and petrophysical parameters can result in significant variation in well evaluation, hydrocarbons in place estimates and volumetric reserves. Mineralogical evaluations have historically been questioned in cases where evaluated effective porosity differs significantly from core total porosity. Effort has been made over the last year to obtain maximum value out of these tools by providing all data as input to an integrated evaluation using total porosity. The key feature is incorporating all possible core data for calibration purposes, including: 1. using all core total porosity, permeability and capillary pressure data, where available, to calibrate models. 2. using petrological data to obtain mineral-by-mineral calibration of rock composition. 3. overlaying a regional total porosity curve in the ab- sence of core data to provide a quality control on evaluated total porosity. The success of such approaches is demonstrated in an offshore WA greensand and an Eromanga shaly sand. These methods are now used on a routine basis for detailed field studies and hold the promise of both permeability evaluation and improved evaluation of wells with restricted logging suites.
机译:依靠预测储层岩石矿物成分的岩石物理评估模型在石油工业中正变得越来越普遍。斯伦贝谢的Elan或Mincom的Geolog / Multimin等评估工具可以预测储层组成和岩石物理参数的变化性。在假设恒定的岩性和岩石物理参数会导致井评估,烃的储量估算和体积储量发生重大变化的情况下,这些功能特别有用。历史上,在评估的有效孔隙度与岩心总孔隙度明显不同的情况下,对矿物学评估提出了质疑。过去一年中,人们一直在努力通过将所有数据作为总孔隙度的综合评价数据的输入,来从这些工具中获取最大价值。关键功能是合并所有可能的岩心数据以进行校准,包括:1.使用所有岩心总孔隙率,渗透率和毛细管压力数据(如果有)来校准模型。 2.使用岩石学数据来获取岩石成分的逐矿物校准。 3.在没有岩心数据的情况下叠加区域总孔隙度曲线,以对评估的总孔隙度进行质量控制。这种方法的成功在西澳大利亚州的一个海上沙地和一个Eromanga泥质砂中得到了证明。这些方法现在被常规用于详细的野外研究,并有望通过渗透率评估和改进对受限测井套件井的评估。

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