首页> 外文学位 >Reservoir characterization of the Miocene Starfak and Tiger Shoal fields, offshore Louisiana through integration of sequence stratigraphy, 3-D seismic, and well-log data.
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Reservoir characterization of the Miocene Starfak and Tiger Shoal fields, offshore Louisiana through integration of sequence stratigraphy, 3-D seismic, and well-log data.

机译:通过整合层序地层学,3D地震和测井数据,对路易斯安那州近海的中新世Starfak和Tiger Shoal油田进行了储层表征。

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摘要

Many "mature" Gulf of Mexico (GOM) fields, due to their structurally and stratigraphically complex nature, possess significant remaining resources. Such is the case in the Starfak and Tiger Shoal fields, offshore Louisiana. In these fields, forty hydrocarbon reservoirs occur in a regressive Miocene-age succession that comprises 10 third-order and at least 58 fourth-order sequences. Reservoir-scale heterogeneity is controlled by the nature and distribution of sedimentary facies and is usually below the resolution of current subsurface seismic sampling. Sequence-stratigraphic analysis helps to improve predictions of spatial and temporal reservoir heterogeneity. This study addresses the application of the correlation between petrophysical properties (PP) (e.g., effective porosity and shale volume) and seismic attributes (SA) within a high-frequency sequence-stratigraphic framework to identify untapped reservoir compartments in the two offshore Louisiana fields.; Synthetic modeling of the seismic data showed that the vertical resolution of the seismic is approximately 12 ms. The relief on the fourth-order sequence boundary (SB) is below seismic resolution. A new method of mapping fourth-order SBs was developed. This method is based on the ability to image planiform morphology along the SB that can be depicted from a sequence of 4-ms-thick stratal slices. This method was successfully applied in the study area, and showed increased resolution when compared to two other mapping methods (manual tracking and proportional slicing).; Three methods were tested to correlate SA with PP: (1) direct correlation between SAs and PPs through regression analysis, (2) seismic inversion, and (3) probabilistic neural network (PNN). Among the three methods, the PNN proved to be the best technique. Four uncontacted compartments targeting incised-valley sands in genetic sequence 30 were identified upon analyzing the inverted Vshale volume created using PNN method.; Starfak and Tiger Shoal are typical of mature shelf-bound fields in the GOM, with long and sustained production histories. Structural and stratigraphic heterogeneities present opportunities for reserve-growth potential if an improved process for mapping of geologic complexity can be unraveled.
机译:由于结构和地层复杂,许多“成熟的”墨西哥湾(GOM)油田都拥有大量剩余资源。路易斯安那州近海的Starfak和Tiger Shoal油田就是这种情况。在这些领域中,有40个油气藏以中新世-退回演替的顺序出现,其中包括10个三阶和至少58个四阶序列。储层规模的非均质性受沉积相性质和分布的控制,通常低于当前地下地震取样的分辨率。层序地层分析有助于改善对时空储层非均质性的预测。这项研究解决了在高频层序地层学框架内岩石物理性质(PP)(例如,有效孔隙度和页岩体积)与地震属性(SA)之间的相关性应用,以识别路易斯安那州两个海上油田中尚未开发的储层。 ;地震数据的综合建模表明,地震的垂直分辨率约为12 ms。四阶序列边界(SB)上的浮雕低于地震分辨率。开发了一种映射四阶SB的新方法。该方法基于沿着SB成像平面状形态的能力,该能力可以通过一系列4毫秒厚的层片进行描绘。该方法已成功应用于研究领域,与其他两种制图方法(手动跟踪和比例切片)相比,分辨率更高。测试了三种将SA与PP关联的方法:(1)通过回归分析将SA与PP之间直接关联;(2)地震反演;(3)概率神经网络(PNN)。在这三种方法中,PNN被证明是最好的技术。通过分析使用PNN方法创建的倒置Vshale体积,确定了以基因序列30为目标的四个非接触隔室,这些区域以切谷河砂为目标。 Starfak和Tiger Shoal是GOM中典型的成熟陆架田,具有长期持续的生产历史。如果可以探索出一种改进的地质复杂性制图方法,那么结构和地层的非均质性将为储量增长潜力提供机会。

著录项

  • 作者

    Badescu, Adrian Constantin.;

  • 作者单位

    The University of Texas at Austin.;

  • 授予单位 The University of Texas at Austin.;
  • 学科 Geophysics.; Engineering Petroleum.
  • 学位 Ph.D.
  • 年度 2002
  • 页码 229 p.
  • 总页数 229
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 地球物理学;石油、天然气工业;
  • 关键词

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