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Quantitative Characterization of Porosity Partitioning from NMR Logs in Siliciclastic Reservoirs-Ecuador

机译:硅砾岩储层中NMR原木孔隙度分配的定量表征 - 厄瓜多尔

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The "Oriente" basin is located in eastern Ecuador between the Andes Mountains and the Amazon rainforest. In 2012, daily oil production reached 505,000 barrels. The three main oil-bearing Cretaceous formations in the basin are the Hollin, T and U formations. Results from recent extensive coring of the U and Hollin formations showed that the pore size significantly affects oil saturation and production. Therefore, understanding pore size distribution can greatly enhance the success of a well. It is a major challenge to characterize and classify reservoir type and heterogeneity in reservoirs with pore-size variations using only well log data. We used core data from three wells in the U and Hollin formations to validate a new nuclear magnetic resonance (NMR) spectral analysis technique, applied in the echo domain, to estimate the pore-size distribution. In certain carbonate reservoirs in the Middle East, the distribution of pore size classes can be accurately determined by fitting the NMR pulse echoe. The method was blindly tested on three siliciclastic wells from the Oriente basin, and the results were compared with pore-size analysis from mercury-injection and capillary-pressure data. Additionally, a multi-mineral petrophysical model was built for each eall from log measurements, omitting the core data. The porosity derived from the multi-mineral model was used as a porosity input to guide the time-domain inversion of the NMR echo trains. The inversion solves for continuous logs of the porosity, attributed to three pore families, representing the range of pore-body sizes from small to medium to large.
机译:“Oriente”盆地位于安德斯山脉和亚马逊雨林之间的东部厄瓜多尔。 2012年,日报产量达到505,000桶。盆中的三个主要含油白垩纪形成是霍林,T和U形成。近期U和Hollin组的近方芯片的结果表明,孔径显着影响油饱和和生产。因此,了解孔径分布可以大大提高井的成功。在仅使用井大小的日志数据的情况下,使用孔径变化来表征和分类水库类型和异质性是一个重大挑战。我们使用来自U和HOLLIN结构的三个井中的核心数据,以验证在回波域中施加的新的核磁共振(NMR)光谱分析技术,以估算孔径分布。在中东的某些碳酸盐储层中,可以通过拟合NMR脉冲回声来精确地确定孔径等级的分布。该方法在来自东方盆地的三个硅井上盲目地测试,并将结果与​​汞注入和毛细管压力数据的孔径分析进行了比较。另外,从日志测量中为每个EALL构建多矿物岩石物理模型,省略核心数据。源自多矿物模型的孔隙率被用作孔隙率输入,以引导NMR回波培训的时域反转。反转求解孔隙率的连续日志,归因于三个孔家族,代表从小到中小小到大的孔体尺寸范围。

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