Cory J Hoelting

20130046476, Feb 21, 2013

Aug 15, 2011

13/210269

Philip Stephan Schultz - Bellaire TX, US
Cory James Hoelting - Houston TX, US

Chevron U.S.A. Inc. - San Ramon CA

G06F 19/00
G01V 1/28

702 18

A system and method for subsurface characterization including depth and structural uncertainty estimation is disclosed. In one embodiment, the method may include determining a detectability threshold for moveout in a seismic data gather based on the seismic data and computing a depth uncertainty function, wherein the depth uncertainty function represents an error estimate that is used to analyze an interpretation of the seismic data. In another embodiment, the method may include receiving a depth uncertainty volume and at least one interpreted horizon from seismic data, extracting a depth uncertainty cage for each of the interpreted horizons based on the depth uncertainty volume, and simulating multiple realizations for each of the interpreted horizons, constrained by the depth uncertainty cage. The multiple realizations may be used for analyzing changes to geometrical or structural properties of the at least one interpreted horizon. The changes may be plotted as at least one distribution and may be used to make P10, P50 and P90 estimates.

20120099396, Apr 26, 2012

Oct 22, 2010

12/910042

Cory J. Hoelting - Houston TX, US
Jennifer L. Lewis - Houston TX, US
James M. Davenport - Houston TX, US

G01V 1/28

367 73

A system and method for characterizing structural uncertainty in a seismic analysis of features in a subsurface region includes obtaining seismic data including information representative of the features, performing a plurality of depth migrations on the seismic data, each depth migration being based on a model using a respective set of parameters relating to a velocity field and anisotropy of the subsurface region, selecting a family of equivalent solutions from the plurality of depth migrations, evaluating a characteristic of at least a portion of the subsurface region for each member of the family of equivalent solutions, determining a range of values of the evaluated parameters, and based on the determined range, determining a degree of uncertainty of the seismic analysis.

20230042577, Feb 9, 2023

Aug 5, 2021

17/394808

- San Ramon CA, US
Chaoshun Hu - Houston TX, US
Paige Rene Given - Houston TX, US
Gilles Hennenfent - Covington LA, US
Cory Hoelting - Houston TX, US

E21B 47/04
G01V 1/34
G06N 20/00

Systems and methods for estimating reservoir productivity as a function of position in a subsurface volume of interest are disclosed. Exemplary implementations may: obtain an initial depth uncertainty model; obtain training depth uncertainty parameter values from the non-transient storage medium; obtain corresponding training depth uncertainty values; generate a trained depth uncertainty model by training the initial depth uncertainty model using the training depth uncertainty parameter values and the corresponding training depth uncertainty values; and store the trained depth uncertainty model.

20150177401, Jun 25, 2015

Dec 19, 2013

14/134258

Maisha Lara Amaru - Houston TX, US
Cory James Hoelting - Houston TX, US

Chevron U.S.A. Inc. - San Ramon CA

G01V 1/36
G01V 1/30
G01V 1/28

Embodiments of a method for correcting velocity models for complex topographies are disclosed herein. In general, embodiments of the method utilize velocity corrections based on geomechanical effects to correct a velocity model to take into account complex surface topographies. In particular, embodiments of the method use a nucleus strain theory to determine the velocity corrections. Further details and advantages of various embodiments of the method are described in more detail herein.