Michael Lynn Dix

US Patent:

20100040281, Feb 18, 2010

Filed:

Aug 12, 2008

Appl. No.:

12/190418

Inventors:

Dingding CHEN - Plano TX, US
Syed HAMID - Dallas TX, US
Michael C. DIX - Houston TX, US

Assignee:

HALLIBURTON ENERGY SERVICES, INC. - Houston TX

International Classification:

G06K 9/62
G01V 3/00

US Classification:

382156, 3408532

Abstract:

Dimensionality reduction systems and methods facilitate visualization, understanding, and interpretation of high-dimensionality data sets, so long as the essential information of the data set is preserved during the dimensionality reduction process. In some of the disclosed embodiments, dimensionality reduction is accomplished using clustering, evolutionary computation of low-dimensionality coordinates for cluster kernels, particle swarm optimization of kernel positions, and training of neural networks based on the kernel mapping. The fitness function chosen for the evolutionary computation and particle swarm optimization is designed to preserve kernel distances and any other information deemed useful to the current application of the disclosed techniques, such as linear correlation with a variable that is to be predicted from future measurements. Various error measures are suitable and can be used.

US Patent:

20120109604, May 3, 2012

Filed:

Aug 27, 2009

Appl. No.:

13/381555

Inventors:

Dingding Chen - Plano TX, US
Syed Hamid - Dallas TX, US
Michael Charles Dix - Houston TX, US

Assignee:

HALLIBURTON ENERGY SERVICES, INC. - Houston TX

International Classification:

G06F 7/60

US Classification:

703 2

Abstract:

A model is disclosed that includes an intelligent ligent linear programming (“ILP”) member to produce a ILP result, a member selected from the group consisting of a feed-forward neural network (“FNN”) to produce a FNN result and a geochemical normative analysis (“GNA”) model to produce a GNA result. The model also includes a result generator to combine the ILP result with the result from the other member to produce the estimates of the mineral content of the sample.

US Patent:

20170058666, Mar 2, 2017

Filed:

Nov 10, 2016

Appl. No.:

15/348718

Inventors:

- Houston TX, US
Syed HAMID - Dallas TX, US
Michael C. DIX - Houston TX, US

Assignee:

Halliburton Energy Services, Inc. - Houston TX

International Classification:

E21B 47/12
G06N 3/08
E21B 49/08

Abstract:

Dimensionality reduction systems and methods facilitate visualization, understanding, and interpretation of high-dimensionality data sets, so long as the essential information of the data set is preserved during the dimensionality reduction process. In some of the disclosed embodiments, dimensionality reduction is accomplished using clustering, evolutionary computation of low-dimensionality coordinates for cluster kernels, particle swarm optimization of kernel positions, and training of neural networks based on the kernel mapping. The fitness function chosen for the evolutionary computation and particle swarm optimization is designed to preserve kernel distances and any other information deemed useful to the current application of the disclosed techniques, such as linear correlation with a variable that is to be predicted from future measurements. Various error measures are suitable and can be used.

US Patent:

20150046092, Feb 12, 2015

Filed:

Aug 8, 2014

Appl. No.:

14/455481

Inventors:

- Houston TX, US
Simon N. Hughes - Houston TX, US
Christopher N. Smith - Houston TX, US
Michael C. Dix - Houston TX, US

International Classification:

G01V 5/04
G01V 5/10

US Classification:

702 11

Abstract:

Real-time or near real-time estimates of reservoir quality properties, along with performance indicators for such estimates, can be provided through use of methods and systems for fully automating the estimation of reservoir quality properties based on geochemical data obtained at a well site.