公开(公告)号：US20140200814A1

公开(公告)日：2014-07-17

申请号：US14152217

申请日：2014-01-10

Applicant: CGG Services SA

Inventor： Patrice GUILLAUME ,  Gilles LAMBARE

IPC: G01V1/30

CPC classification number: G01V1/30 ,  G01V1/28

Abstract: Methods and systems for dip constrained non-linear tomography in seismic data. An additional term, comprising the dip associated with the kinematic migration of locally coherent events, is introduced into the cost function. The velocity is then updated to match the expected dip of the re-migrated offset-dependent events. Volumetric dip information can be automatically selected at a greater density in shallow locations, therefor complementing the lower density of the RMO events associated with shallow locations.

Abstract translation: 地震数据中倾角约束非线性断层扫描的方法和系统。 包括与局部相干事件的运动学迁移相关联的下降的附加术语被引入成本函数。 然后更新速度以匹配重新迁移的依赖于偏移的事件的预期下降。 体积倾斜信息可以在较浅的位置以更大的密度自动选择，从而补充与浅位置相关联的RMO事件的较低密度。

公开(公告)号：US20150346367A1

公开(公告)日：2015-12-03

申请号：US14760731

申请日：2014-01-15

Applicant: CGG SERVICES SA

Inventor： Gilles LAMBARE ,  Thibaut ALLEMAND

IPC: G01V1/30 ,  G01V1/28

CPC classification number: G01V1/303 ,  G01V1/282 ,  G01V2210/51 ,  G01V2210/6222 ,  G01V2210/671 ,  G01V2210/675

Abstract: Disclosed herein is a system and method for building a velocity model for a geographical area of interest (GAI). The system and method comprise determining a ray based tomography velocity image of said GAI using acquired data, determining a high resolution velocity guide (HRVG) image of said GAI, scaling said determined HRVG of said GAI, adding the scaled HRVG to the ray based tomography velocity image to determine an updated ray based tomography velocity image, and determining whether said updated ray based tomography velocity image has experienced convergence by determining whether a cost function of said ray based tomography velocity image does not improve compared to a previously determined cost function value of said ray based tomography velocity image.

Abstract translation: 本文公开了一种用于建立感兴趣地理区域（GAI）的速度模型的系统和方法。 该系统和方法包括使用获取的数据确定所述GAI的基于射线的层析成像速度图像，确定所述GAI的高分辨率速度指引（HRVG）图像，缩放所述确定的所述GAI的HRVG，将所述缩放的HRVG加到基于X射线的层析成像 速度图像以确定更新的基于射线的层析成像速度图像，以及通过确定所述基于射线的层析成像速度图像的成本函数是否与先前确定的成本函数值相比不能改善，来确定所述更新的基于射线的层析成像速度图像是否已经经历了收敛 所述射线基层析成像速度图像。

公开(公告)号：US20140200813A1

公开(公告)日：2014-07-17

申请号：US14152208

申请日：2014-01-10

Applicant: CGG SERVICES SA

Inventor： Jean-Philippe MONTEL ,  Gilles LAMBARE

IPC: G01V1/30

CPC classification number: G01V1/303 ,  G01V2210/671

Abstract: Systems and methods are provided for determining a starting position and direction of a ray for use in generating a velocity model based at least in part on a kinematic analysis of Angle Domain Common Image Gathers (ADCIGs) obtained by a Wave Equation Migration (WEM) process. A method includes: determining a migrated spatial dip from a stack; determining a slope of a residual move-out (RMO); remapping a migrated value into a first value; repositioning the starting position of the ray based at least in part on the migrated spatial dip from the stack, the slope of the RMO and the first value; and computing the starting direction of the ray.

Abstract translation: 提供了系统和方法，用于至少部分地基于通过波方程迁移（WEM）过程获得的角域公共图像采集（ADCIG）的运动学分析来确定用于生成速度模型的光线的起始位置和方向 。 一种方法包括：确定来自堆栈的迁移的空间倾斜; 确定剩余移出（RMO）的斜率; 将迁移的值重新映射为第一个值; 至少部分地基于来自堆叠的迁移的空间倾斜，RMO的斜率和第一值重新定位射线的起始位置; 并计算射线的起始方向。

公开(公告)号：US20160282490A1

公开(公告)日：2016-09-29

申请号：US15080729

申请日：2016-03-25

Applicant: CGG SERVICES SA

Inventor： Botao QIN ,  Gilles LAMBARE

IPC: G01V1/28

CPC classification number: G01V1/282 ,  G01V1/303 ,  G01V2210/614 ,  G01V2210/67 ,  G01V2210/679

Abstract: A preserved-amplitude RTM-based FWI method is used to obtain an image of an explored subsurface formation. Model data corresponding to detected data is generated using a velocity model of the formation. Residuals representing differences between the modeled data and the detected data are back-propagated to then update the velocity model a local optimization based on a deconvolution formula employing a backward propagating wavefield and a forward propagating wavefield. Geophysical features of the formation are imaged based on the updated velocity model.

Abstract translation: 使用基于保留幅度RTM的FWI方法来获得探索的地下地层的图像。 使用形成的速度模型生成对应于检测到的数据的模型数据。 表示建模数据与检测到的数据之间的差异的残差被反向传播，然后基于采用反向传播波场和向前传播波场的去卷积公式来更新速度模型的局部优化。 基于更新的速度模型对地层的地球物理特征进行成像。