Patent · US Active

Neural net for use in drilling simulation

US8285531B2 · kind B2 · utility

6Cited by

22References

23Claims

0Family size

Assignee

SMITH INTERNATIONAL, INC. · US

Inventors

David P. Moran · Diemelstraße, US
Mark P. Frenzel · Sugar Land, US
Roy Duncan · Mineville, CA

Key dates

Filing date	Apr 17, 2008
Grant date	Oct 9, 2012
Priority date	—
Expiry date	Jul 11, 2030

Classification

Technology area (CPC E)Fixed Constructions
CPC primaryE21B2200/22
WIPO fieldControl
WIPO sectorInstruments

Abstract

A method of optimizing a drilling tool assembly including inputting well data into an optimization system, the optimization system having an experience data set and an artificial neural network. The method further including comparing the well data to the experience data set and developing an initial drilling tool assembly based on the comparing the well data to the experience data, wherein the drilling tool assembly is developed using the artificial neural network. Additionally, the method including simulating the initial drilling tool assembly in the optimization system and creating result data in the optimization system based on the simulating.

Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.