Mehran Hassanpour

US Patent:

20220198587, Jun 23, 2022

Filed:

Dec 22, 2020

Appl. No.:

17/130708

Inventors:

- Houston TX, US
Mehran Hassanpour - Houston TX, US
Steven Bryan Ward - Houston TX, US

International Classification:

G06Q 50/16
G06N 3/08

Abstract:

A neural network trainer trains neural networks to estimate secondary data at locations throughout a geological formation where secondary data is unknown. The neural networks are trained to estimate secondary data using locations in the geological formation as input. Subsequently, the secondary data is deleted from memory using the trained neural network as a proxy representation to reduce memory footprint and allow for estimation of secondary data at locations where it is unknown.

US Patent:

20210374306, Dec 2, 2021

Filed:

May 26, 2020

Appl. No.:

16/883638

Inventors:

- Houston TX, US
Genbao Shi - Sugarland TX, US
Mehran Hassanpour - Houston TX, US

Assignee:

Landmark Graphics Corporation - Houston TX

International Classification:

G06F 30/20
E21B 49/00
E21B 47/00

Abstract:

A method for processing a well data log may comprise adding one or more boundary areas to the well data log, dividing the well data log into one or more segments using the one or more boundary areas, processing each of the one or more segments on one or more information handling systems, and reforming each of the one or more segments into a final simulation. A system for processing a well data log may comprise one or more information handling systems in a cluster. The one or more information handling systems may be configured to perform the method for processing the well data log.