Chevron U.s.a. Inc.

Andrey H Shabelansky

Konstantin Osypov

Uwe Karsten Albertin

Joseph Paul Stefani

Maisha Lara Amaru

Cory James Hoelting

Huafeng Liu

Jinsong Chen

Mark A Meadows

Ying Tan

Min Yang

Uwe K Albertin

A method is described for seismic depth uncertainty analysis including receiving wavelet basis functions and cutoff thresholds and randomly perturbing wavelet coefficients in reduced wavelet space based on the wavelet basis functions and the cutoff thresholds to generate a plurality of random wavelet fields; receiving a reference model in a depth domain; transforming the plurality of random wavelet fields to the depth domain and combining them with the reference model to form candidate models; performing a hierarchical Bayesian modeling with Markov Chain Monte Carlo (MCMC) sampling methods using the candidate models as input to generate a plurality of realizations; and computing statistics of the plurality of realizations to estimate depth uncertainty. The method may be executed by a computer system.

System and method for seismic depth uncertainty analysis

A method is described for seismic imaging including determination of reservoir stresses. The method may include the use of elastic full waveform inversion (FWI), 3-order elasticity, and finite-difference strain calculations. The method may be executed by a computer system.

System and method for deriving reservoir stresses from 4D seismic data

A method is described for seismic imaging including receiving a seismic dataset representative of a subsurface volume of interest and an earth model; decomposing the seismic dataset into a set of data sub-sets based on a decomposition function; imaging each data sub-set using the earth model to generate a set of image sub-sets; and combining the set of image sub-sets based on a criterion to create a high resolution seismic image. The method may be executed by a computer system.

System and method for improving resolution of digital seismic images

A method is described for seismic imaging including receiving a digital seismic image representative of a subsurface volume of interest and an earth model; decomposing the seismic image into a set of image subsets based on an image-domain decomposition function; forward modeling each image subset to generate a set of synthetic data subsets; decomposing each data subset into a set of data sub-subsets based on a data-domain decomposition function; imaging data sub-subsets using the earth model to generate a set of image sub-subsets; and combining the set of image subsets based on a criterion to create a high resolution seismic image. The method may be executed by a computer system.

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Houston, TX, United States of America

Andrey H Shabelansky