-
公开(公告)号:US12124949B2
公开(公告)日:2024-10-22
申请号:US17303012
申请日:2021-05-18
Inventor: Mehdi Aharchaou , Michael P. Matheney , Joe B. Molyneux , Erik R. Neumann
CPC classification number: G06N3/08 , G06F18/217 , G06F18/22 , G06N5/04 , G06N20/00 , G06V10/774
Abstract: A method for learning and applying a similarity measure between geophysical objects is provided. Similarity measures may be used for a variety of geophysics applications, including inverse problems. For example, an inverse problem may seek to minimize or maximize an associated objective function, which summarizes the degree of similarity between observed data and simulated data. However, when comparing between two or more geophysical objects in the context of the inverse problem, it is difficult to determine whether the observed difference between the two or more geophysical objects is due to noise or intrinsic dissimilarity between the objects. In this regard, an application-specific similarity measure, which may be tailored to the specific application, such as the specific inverse problem, may be generated and applied in order to better solve the inverse problem.
-
2.
公开(公告)号:US11988789B2
公开(公告)日:2024-05-21
申请号:US17247503
申请日:2020-12-14
Inventor: Junzhe Sun , Valeriy V. Brytik , Lingxiao Zhang , Erik R. Neumann
Abstract: A method for approximating an inverse Hessian is provided. One methodology to generate the inverse Hessian is to precondition the gradient, such as by using point-spread function deconvolution, T-power, or source-illumination compensation, prior to using non-stationary matching filters (NMF) to generate the inverse Hessian. Various types of NMF are contemplated, including using filters for different windows in the subsurface or using filters assigned to specific locations in the subsurface. Further, the number of filters for NMF may vary from iteration to iteration. For example, the filters assigned to the specific locations in the subsurface may be generated in a multi-scale manner, in which an initial iteration uses longer scale/longer wavelength features for inversion and subsequent iterations use finer scale/smaller wavelength features for inversion.
-
3.
公开(公告)号:US11914101B2
公开(公告)日:2024-02-27
申请号:US17247528
申请日:2020-12-15
Inventor: Valeriy V. Brytik , Junzhe Sun , Carey M. Marcinkovich , Hong Zhao , Erik R. Neumann
IPC: G06F17/18 , G06F30/20 , G06F30/27 , G06F111/10 , G01V99/00
CPC classification number: G01V99/005 , G06F17/18 , G06F30/20 , G06F30/27 , G06F2111/10
Abstract: A method for partitioning a search direction when using least squares reverse time migration (LSRTM) is provided. LSRTM may be used iteratively in order to improve imaging accuracy. As part of LSRTM, multiple local line searches may be performed. In particular, image space may be partitioned, such as by using a set of masks. The search direction, such as the gradient, may be partitioned using the set of masks. Local line searches may be performed for each partition of the search direction, resulting in finding respective line search constants. The respective line search constants may then be used for iterating the model in order to improve imaging accuracy.
-
-