Amplitude-Versus-Angle (AVA) Inversion for Pre-Stack Seismic Data with L0-Norm-Gradient Regularization

Seismic impedance inversion using l1-norm regularization and gradient descent methods

We consider numerical solution methods for seismic impedance inversion problems in this paper. The inversion process is ill-posed. To tackle the ill-posedness of the problem and take the sparsity of the reflectivity function into consideration, an l1 norm regularization model is established. In computation, a nonmonotone gradient descent method based on Rayleigh quotient for solving the minimiz...

Pre-stack Simultaneous Inversion of 3D Seismic Data for Velocity Attributes to Delineate Channel Sand Reservoir

Channel sand acts as stratigraphic trap for hydrocarbon accumulation in many parts of the world. Delineation of this type of reservoir is crucial as channel sand may be scarce and inaccurate location of the drilling wells could lose a huge currency. To differentiate channel sand from the host rocks, attributes such as P and S wave velocity ratio plays a vital role in the study area. The velocit...

5D and 4D Pre-stack seismic data completion using tensor nuclear norm (TNN)

In this paper we present novel strategies for completion of 5D pre-stack seismic data, viewed as a 5D tensor or as a set of 4D tensors across temporal frequencies. In contrast to existing complexity penalized algorithms for seismic data completion, which employ matrix analogues of tensor decompositions such as HOSVD or use overlapped Schatten norms from different unfoldings (or matricization) o...

Bi-l0-l2-Norm Regularization for Blind Motion Deblurring

In blind motion deblurring, leading methods today tend towards highly non-convex approximations of the l0-norm, especially in the image regularization term. In this paper, we propose a simple, effective and fast approach for the estimation of the motion blur-kernel, through a bi-l0-l2-norm regularization imposed on both the intermediate sharp image and the blur-kernel. Compared with existing me...

Pre-stack full waveform inversion of ultra-high-frequency marine seismic reflection data