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Fast integral equation method for microseismic wavefield modelling in anisotropic elastic media. 各向异性弹性介质中微地震波场模拟的快速积分方程法。
Pub Date : 2023-01-30 DOI: 10.3997/2214-4609.202310750
Ujjwal Shekhar, M. Jakobsen, E. Iversen, I. Berre, F. Radu
In this paper, we present a frequency-domain volume integral method to model the microseismic wavefield in heterogeneous anisotropic-elastic media. The elastic wave equation is written as an integral equation of the Lippmann-Schwinger type, and the seismic source is represented as a general moment tensor. The displacement field due to a moment tensor source can be computed using the spatial derivative of the elastodynamic Green's function. The existing matrix-based implementation of the integral equation is computationally inefficient to model the wavefield in a three-dimensional earth. An integral equation for the particle displacement is, hence, formulated in a matrix-free manner through the application of the Fourier transform. The biconjugate gradient stabilized method is used to iteratively obtain the solution of this equation. We apply the numerical scheme to three different models in order of increasing geological complexity and obtain the elastic displacement fields corresponding to the different types of moment tensor sources. The volume integral method has an advantage over the time domain methods in regard to adding multiple sources since it can work with discrete frequencies, one by one, and limit the computational cost. The generated synthetic data can be useful in inversion for the microseismic source and model parameters.
本文提出了一种非均质各向异性弹性介质微地震波场的频域体积积分方法。弹性波动方程用Lippmann-Schwinger型积分方程表示,震源用一般矩张量表示。由矩张量源引起的位移场可以用弹性动力学格林函数的空间导数来计算。现有的基于矩阵的积分方程的实现在计算上效率低下,无法模拟三维地球中的波场。因此,通过傅里叶变换的应用,以无矩阵的方式表达了粒子位移的积分方程。采用双共轭梯度稳定法迭代求解该方程。我们将数值格式应用于三种不同的模型,按地质复杂程度从小到大的顺序,得到了不同类型矩张量源对应的弹性位移场。体积积分法在添加多个源方面比时域方法有优势,因为它可以一个接一个地处理离散频率,并且限制了计算成本。生成的综合数据可用于微震源和模型参数的反演。
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引用次数: 0
Geophysical Exploration of the Dynamics and Evolution of the Solar System (GEODES) 太阳系动力学与演化的地球物理勘探(GEODES)
Pub Date : 2020-03-01 DOI: 10.5194/egusphere-egu2020-11795
N. Schmerr, J. Richardson, R. Ghent, M. Siegler, K. Young, L. Montési

The Moon, near Earth asteroids, and the martian moons Phobos and Deimos are all Solar System Exploration Research Virtual Institute (SSERVI) target bodies as they present a wide variety of natural wonders and are potential hosts to resources that will one day enable human exploration of the Solar System. Our SSERVI project, Geophysical Exploration of the Dynamics and Evolution of the Solar System (GEODES) is exploring a suite of natural resources on these bodies through multidisciplinary geophysical investigations. Geophysical methods have been incredibly successful in identifying resources on Earth as they provide a means of characterizing and mapping the sub-surface using data gathered on and above the surface. We focus our geophysical investigations on four essential resources that will enable future human space exploration: I) Lava tubes and void spaces, capable of hosting people and infrastructure; II) Ice deposits, subsurface bodies that can be used for volatile extraction; III) Regolith, which covers the surface of all target bodies, potentially serving as a building material but also presenting a hazard to human and robotic operations and health; and IV) Magma-tectonic Systems, which mobilize, concentrate, and trap volatiles, unique rocks, and ore minerals.

Our investigations use an "orbit to outcrop" approach by analyzing existing geophysical data, conducting geophysical exploration of field analog sites on Earth, and creating models that link these analog studies to SSERVI target bodies. Analog sites enable the development, ground-truthing, and integration of (a) exploration strategies, (b) multiple geophysical methods, and (c) modeling capabilities. The GEODES team is integrating field methods and results to create a scientific modeling framework that facilitates the joint inversion of data sets and will share these results with the community via cyber infrastructure, data management, and outreach. The unifying goal behind GEODES is to develop geophysical detection and exploration methods to characterize these natural resources and enable in situ resource utilization at SSERVI target bodies.

月球、近地小行星以及火星卫星火卫一和火卫二都是太阳系探索研究虚拟研究所(SSERVI)的目标天体,因为它们呈现出各种各样的自然奇观,并且是未来人类探索太阳系的资源的潜在宿主。我们的SSERVI项目,太阳系动力学和演化的地球物理勘探(GEODES)正在通过多学科地球物理调查探索这些天体上的一套自然资源。地球物理方法在识别地球上的资源方面取得了令人难以置信的成功,因为它们提供了一种利用地面和地面上收集的数据来描述和绘制地下资源的方法。我们将地球物理调查重点放在四种基本资源上,这些资源将使未来的人类太空探索成为可能: 能够容纳人员和基础设施的熔岩管和空隙空间;        冰沉积物,可用于挥发性提取的地下体; III) 覆盖所有目标体表面的风化层,可能用作建筑材料,但也对人类和机器人的操作和健康构成危害; IV) 岩浆构造系统,它调动、浓缩和圈闭挥发物、独特的岩石和矿石矿物。我们的研究使用“轨道到露头”的方法,通过分析现有的地球物理数据,对地球上的野外模拟点进行地球物理勘探,并创建将这些模拟研究与SSERVI目标体联系起来的模型。模拟站点使开发、地面真相和整合(a)勘探策略、(b)多种地球物理方法和(c)建模能力成为可能。 GEODES团队正在整合现场方法和结果,创建一个科学的建模框架,促进数据集的联合反演,并将通过网络基础设施、数据管理和外展与社区分享这些结果。GEODES背后的统一目标是开发地球物理探测和勘探方法,以表征这些自然资源,并使SSERVI目标体的资源利用成为可能。
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引用次数: 0
Role of Methanogenesis and Sulfate Reduction in Lifetime Performance of Hydrogen Storage in Depleted Gas Reservoirs 甲烷生成和硫酸盐还原对枯竭气藏储氢寿命性能的影响
Pub Date : 1900-01-01 DOI: 10.3997/2214-4609.2023101478
E. Ranaee, F. Inzoli, A. Guadagnini
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引用次数: 0
Efficient Reverse Time Migration Method in TTI Media Based on a Pure Pseudo-Acoustic Wave Equation 基于纯伪声波方程的TTI介质有效逆时偏移方法
Pub Date : 1900-01-01 DOI: 10.3997/2214-4609.2023101459
H. Jiale, H. Jianping, Y. Jidong, M. Xinru, C. Liang
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引用次数: 0
Simulation Analysis of Oil Recovery by Imbibition and Gravity Drainage in a Single-Block with Surrounding Fracture 含裂缝单区块吸吸-重力排水采油模拟分析
Pub Date : 1900-01-01 DOI: 10.3997/2214-4609.202310186
N. Nikmardan, H. Mehdikhani, A. Edalatiankarbasi, E. Mohammadi, M. Karbalaeeakbari
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引用次数: 0
Application of multi-wave seismic data in the identification of dolomite of the Qixia Formation, Sichuan basin 多波地震资料在四川盆地栖霞组白云岩识别中的应用
Pub Date : 1900-01-01 DOI: 10.3997/2214-4609.202310971
X. Guo, G. Di, J. Gao, H. Wang, Q. Chen
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引用次数: 0
4D-Petro Elastic Model calibration – A new way to look at dynamic reservoir properties 4D-Petro弹性模型校准——一种观察动态储层特性的新方法
Pub Date : 1900-01-01 DOI: 10.3997/2214-4609.202310553
P. Trinh, D. Rappin, M. Amri
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引用次数: 0
Internal Multiple Suppression Using a Physics-Informed Neural Network 基于物理信息的神经网络的内部多重抑制
Pub Date : 1900-01-01 DOI: 10.3997/2214-4609.202310830
K. Wang, T. Hu, J. Liu, Z. Wei
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引用次数: 0
Quantum annealer-assisted residual refraction statics estimation on the SEAM Arid model dataset SEAM Arid模型数据集的量子退火辅助剩余折射静校正估计
Pub Date : 1900-01-01 DOI: 10.3997/2214-4609.202310278
D. Rovetta, M. Dukalski, A. Kontakis
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引用次数: 0
Fault identification based on variational mode decomposition and improved C3 coherence algorithm 基于变分模态分解和改进C3相干算法的故障识别
Pub Date : 1900-01-01 DOI: 10.3997/2214-4609.202310854
Z. Qing, Z. Heng, Y. Tao, Y. Qian, W. Feiteng, W. Li
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引用次数: 0
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84th EAGE Annual Conference &amp; Exhibition
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