SUBTERRANEAN FORMATION PROPERTIES PREDICTION

Patent №

US 8,024,123

Granted

2011-09-20

Filed 2008

Owner

SCHLUMBERGER TECHNOLOGY CORPORATION

Lab

AI components

3

ml · planning · hardware

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

12264433

A method for predicting subterranean formation properties of a wellsite. The method includes obtaining seismic data for an area of interest, obtaining an initial seismic cube using the seismic data, and obtaining a shifted seismic cubes using the seismic data, where each of the shifted seismic cubes is shifted from the initial seismic cube obtaining a shifted seismic cubes using the seismic data, where each of the shifted seismic cubes is shifted from the initial seismic cube. The method further includes generating a neural network using the initial seismic cube, the shifted seismic cubes, and well log data and applying the neural network to the seismic data to obtain a model for the area of interest, where the model is used to adjust an operation of the wellsite.

AI classification

Machine learning1.00
AI hardware0.99
Planning0.73
Evolutionary computation0.18
Vision0.07
Natural language0.01
Speech0.00
Knowledge representation0.00

Ownership

SCHLUMBERGER TECHNOLOGY CORPORATION

assignment · 220740312

Assignors

BEJARANO, GASTON, PRIEZZHEV, IVAN, SHMARYAN, LEO

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

© 2026 NYSGPT2525 LLC