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Velocity estimation from seismic data by nonlinear inversion and characterization of gas hydrate deposits offshore Oregon.

机译:通过非线性反演和俄勒冈州海上天然气水合物矿床特征从地震数据估算速度。

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摘要

I developed a new nonlinear inversion algorithm for estimating velocities from fully stacked reflection data and applied it to a field data set consisting of well logs from ODP Leg 170 and MCS data offshore Costa Rica. Results also include application to pre-stack seismic data responding to the presence of gas hydrates offshore Oregon. Two types of hydrate fabrics are identified. The method is based on a two-step procedure applying least-squares and preconditioned conjugate gradient algorithms. Mathematically, generalized inversion provides an optimum estimate of earth model parameters by minimizing the so-called cost (or misfit) function, which is a function of the data covariance matrix CD and the a priori model covariance matrix CM. The developed 2-step procedure solves the nonlinear inverse problems by first determining the two matrices CD and C M, which involves mapping the sensitivity of model smoothness and data error to the parameters σd and σm. The results from the data offshore Costa Rica show that almost every identified reflector of seismic data is very well matched by final synthetic seismograms, confirming that my estimates of velocities are fully consistent with the data.; The improved inversion method is extended to the inversion of pre-stack seismic data, which is applied to estimate seismic velocities of gas hydrate-bearing sediments in the Hydrate Ridge, offshore Oregon. In this experiment, preliminary Vp and Vs profiles obtained from OBS data by interactive velocity analysis are used as a starting model to estimate Vp from streamer data. The results of my inversion and interpretation of the gas hydrate zone reveals: (1) both streamer and OBS data show a strong BSR indicating the presence of gas hydrate above and free gas below; (2) interactive P- and S-wave velocity analysis of OBS data allows us to identify the presence of a P-SV “conversion surface”; (3) inverted velocity profiles show a low-velocity layer existing below the sea floor and above the normal gas hydrate; (4) two types of hydrate fabrics, massive and porous hydrates, were identified in the P-wave velocity profiles; (5) interpretation of the P-wave velocity, acoustic impedance and Poisson's ratio profiles allow mapping of the distribution of gas hydrates; (6) a series of faults in the accretionary complex under the ridge not only offer pathways for methane and fluid ascending from deeper layers but also control the distribution of the porous hydrates with low velocity below the seafloor.
机译:我开发了一种新的非线性反演算法,用于从完全堆叠的反射数据中估算速度,并将其应用于由ODP Leg 170的测井记录和哥斯达黎加海上的MCS数据组成的现场数据集。结果还包括应用于响应俄勒冈州海上天然气水合物存在的叠前地震数据。确定了两种类型的水合织物。该方法基于应用最小二乘和预处理共轭梯度算法的两步过程。在数学上,广义反演通过最小化所谓的成本(或失配)函数来提供对地球模型参数的最佳估计,该函数是数据协方差矩阵 C D < / sub> 先验模型协方差矩阵 C M 。通过首先确定两个矩阵 C D C <,已开发的两步过程解决了非线性逆问题。 italic> M ,它涉及将模型平滑度和数据误差的敏感度映射到参数σ d 和σ m 。哥斯达黎加海上数据的结果表明,几乎所有已识别的地震数据反射器都与最终的合成地震图非常吻合,这证实了我对速度的估计与数据完全一致。改进后的反演方法扩展到叠前地震数据的反演,该方法用于估算俄勒冈州近海海德特里奇含天然气水合物沉积物的地震速度。在该实验中,使用通过交互式速度分析从OBS数据获得的初步 V p V s 曲线作为从流光数据估算 V p 的初始模型。我对天然气水合物带的反演和解释结果表明:(1)流光和OBS数据均显示出强大的BSR,表明上方存在天然气水合物而下方存在游离气; (2)OBS数据的交互式P波和S波速度分析使我们能够识别P-SV“转换面”的存在; (3)倒转的速度剖面表明存在一个低速层,存在于海床以下和正常天然气水合物之上; (4)在P波速度剖面中确定了两种类型的水合织物,块状和多孔水合物; (5)解释P波速度,声阻抗和泊松比分布可以绘制天然气水合物的分布图; (6)脊下增生复合体的一系列断裂不仅为甲烷和流体从深层上升提供了路径,而且还控制了海床以下低速多孔水合物的分布。

著录项

  • 作者

    Wang, Chengshu.;

  • 作者单位

    The University of Texas at Austin.;

  • 授予单位 The University of Texas at Austin.;
  • 学科 Geophysics.
  • 学位 Ph.D.
  • 年度 2003
  • 页码 164 p.
  • 总页数 164
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 地球物理学;
  • 关键词

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