METHODS TO BUILD 3D DIGITAL MODELS OF POROUS MEDIA USING A COMBINATION OF HIGH- AND LOW-RESOLUTION DATA AND MULTI-POINT STATISTICS

Patent №

US 8,908,925

Granted

2014-12-09

Filed 2012

Owner

SCHLUMBERGER TECHNOLOGY CORPORATION

+1 more

Lab

AI components

1

vision

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

13407526

This subject disclosure describes methods to build and/or enhance 3D digital models of porous media by combining high- and low-resolution data to capture large and small pores in single models. High-resolution data includes laser scanning fluorescence microscopy (LSFM), nano computed tomography (CT) scans, and focused ion beam-scanning electron microscopy (FIB-SEM). Low-resolution data includes conventional CT scans, micro computed tomography scans, and synchrotron computed tomography scans.

VisionG01N 21/6458E02D 1/00E21B 49/00

AI classification

Vision0.95
AI hardware0.16
Machine learning0.03
Planning0.00
Speech0.00
Natural language0.00
Evolutionary computation0.00
Knowledge representation0.00

Ownership

SCHLUMBERGER TECHNOLOGY CORPORATION

assignment · 288060639

SAUDI ARAMCO

assignment · 338010459

Assignors

HURLEY, NEIL F., ZHANG, TUANFENG, ZHAO, WEISHU

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

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