SHARPENING DATA REPRESENTATIONS OF SUBTERRANEAN FORMATIONS

Patent №

US 11,610,288

Granted

2023-03-21

Filed 2019

Owner

HALLIBURTON ENERGY SERVICES, INC.

Lab

AI components

1

kr

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

16680240

The disclosure presents a process for sharpening an image data representation of collected measurements from a subterranean formation. The sharpening process utilizes an azimuthal filter applied to azimuthal radial ranges around a borehole to designate azimuthal bins. The azimuthal filter utilizes a set of filter coefficients to modify an azimuthal target bin. The set of filter coefficients is a devolution set as it contains at least one positive and one negative filter coefficient. The filter ratio of positive to negative filter coefficients can be adjusted utilizing the statistical uncertainty of the collected measurements and a targeted filter ratio. In some aspects, an axial filter process, also using a binning methodology, can be applied to the collected measurements, where the azimuthal and axial filtered values can be combined for the final image representation. The azimuthal and axial processes can be executed in serial or parallel process flows.

Knowledge representationG06T 5/73E21B 47/0025E21B 49/00G01V 1/40G01V 3/38G01V 5/04G01V 11/002

AI classification

Knowledge representation0.83
Vision0.02
Planning0.01
Speech0.00
Machine learning0.00
AI hardware0.00
Natural language0.00
Evolutionary computation0.00

Ownership

HALLIBURTON ENERGY SERVICES, INC.

assignment · 509750101

Assignors

MOAKE, GORDON LAYNE

On an employer assignment, the assignors are typically the inventors.

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