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Ascendancy of Continuous Profiles of Grain-Size Distribution for Depositional Environment Studies

机译:沉积环境研究的晶粒尺寸分布连续分布的升级

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Knowledge of structure,composition and texture,the three fundamental attributes of sedimentary deposits,is necessary for a robust analysis and interpretation of depositional environment.In the absence of core information;borehole images,“elemental-capture spectroscopy”and NMR logs all contribute to understanding the structure,composition and grain-size attributes.Grain-size is considered the most important textural parameter because it reflects the processes and energy levels active at the time of deposition.Early studies show that depositional processes and environment can be inferred from size distributions(Krumbein 1934 and Sahu1964).These inferences are based on deductions and experimental data and deliver acceptable accuracy.Although Krumbein(1941)shows other textural(e.g.shape, roundness,roughness)and compositional information enhances certainty.). Building on early work,we present a methodology and examples where NMR derived grain-size- distributions are used to infer depositional environment.In contrast to spot-core analysis,NMR provides a continuous along hole profile of grain-size-distributions.This study is the first to utilize a continuous grain-size-distribution profile.The study was conducted blindfolded,without initial reference to core studies,to test the robustness of the methodology. By using statistical parameters from grain-size distributions that are characteristic of depositional environments,and applying Sahu(1964)linear-discrimination functions,depositional systems for two wells were inferred to be shallow marine-to-fluvial deltaic.Linear-discriminate analysis of geostatistical variables showed bimodal distributions of sediments dominated by fine-grain sands and silts.The studied sandstones were concluded to be mainly fine grained,moderately to poorly sorted,fine skewed, mesokurtic,leptokurtic occasionally platykurtic in nature. Our conclusion was“shallow-marine deposition”and was compared and confirmed with core-driven studies as“shallow marine”.In summary,profiles of grain-size-distributions from NMR logs provide important information about changes in depositional energy level from which we infer depositional setting and reservoir quality.A precise depositional environment interpretation is crucial for optimal/economical field development.
机译:了解结构,组成和质地,沉积存款的三个基本属性,对于沉积环境的稳健分析和解释是必要的。在没有核心信息的情况下;钻孔图像,“元素捕获光谱”和NMR原木都有助于理解结构,组成和粒度attributes.Grain尺寸被认为是最重要的纹理参数,因为它反映了deposition.Early研究的时间活跃表明,沉积过程和环境的过程和能量水平可以从大小分布推断(Krumbein 1934和Sahu1964)。这些推论是基于扣除和实验数据,提供可接受的准确性。虽然Krumbein(1941)显示了其他纹理(Egshape,圆度,粗糙度)和组成信息提高了确定性。)。在早期作品中建立,我们提出了一种方法和实例,其中NMR衍生的晶粒尺寸分布推断沉积环境。与点核分析对比,NMR沿着晶粒尺寸分布的孔轮廓。本研究是第一个利用连续晶粒尺寸分布剖面的。该研究进行了蒙上眼睛,无初步参考核心研究,以测试方法的鲁棒性。通过使用来自沉积环境特征的晶粒尺寸分布的统计参数,并应用Sahu(1964)线性辨别功能,推断出两层孔的沉积系统是浅海洋到河流的脱节。对地质统计学的线性区分分析变量显示沉积物的双峰分布,由细粒砂和淤泥占主导地位。学习的砂岩被判断为主要是细粒度,适度地呈现出差,精细的偏斜,偏见,睑作偶尔属platykurtic。我们的结论是“浅海沉积”,并与核心驱动的研究进行了比较和证实,作为“浅海洋”。摘要,NMR日志的晶粒大小分布概要提供了关于沉积能量水平变化的重要信息推断沉积设定和储层质量。精确的沉积环境解释对于最佳/经济田地开发至关重要。

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