Robert Brian Reeves

US Patent:

7341658, Mar 11, 2008

Filed:

Apr 17, 2003

Appl. No.:

10/417271

Inventors:

Robert G. Reeves - Spring TX, US

Assignee:

Tatanium Corporation Inc. - Toronto

International Classification:

C10G 1/04

US Classification:

208390, 208252, 75365, 75430, 75435, 75958, 204 61, 204 64, 204 64 T, 204 67, 205560, 423522, 423541, 423541 R, 423567 R

Abstract:

A process for recovering heavy minerals (e. g. , titanium minerals such as TiO) from a feedstock comprising tar sands or a tar sands-derived solids fraction. The feedstock comprises bitumen and heavy minerals. The process comprises the steps of: (i) contacting the solids fraction with water at a temperature of at least about 100 F. to cause production a bituminous phase and a heavy minerals phase; and (ii) separating the heavy minerals phase from the bituminous phase. Optionally, these steps may be preceded by one or more steps used to produce a tar-sands derived solids fraction from a tar sands feedstock.

US Patent:

20220180181, Jun 9, 2022

Filed:

Dec 9, 2020

Appl. No.:

17/116184

Inventors:

- Redmond WA, US
Chaofan HUANG - Atlanta GA, US
Songtao GUO - Cupertino CA, US
Robert Perrin REEVES - Castro Valley CA, US
Wan Qi GAO - San Francisco CA, US
Patrick Ryan DRISCOLL - Oakland CA, US
Kristina Caroline RYAN - San Francisco CA, US
Michael Mario JENNINGS - San Francisco CA, US
Jeremy LWANGA - San Francisco CA, US
Manzarul Azad KAZI - Walnut Creek CA, US

International Classification:

G06N 3/08
G06K 9/62

Abstract:

In an example embodiment, a model is trained to specifically identify reversal points in data and then to rank these reversal points in order of importance. A reversal point shall be defined as a point in which a particular metric, specifically a first order derivative, crosses over from positive to negative or vice-versa. Users are more likely to be interested in abnormal and significant changes in data, and thus the machine-learned model is trained to evaluate a reversal point based on two dimensions: abnormality and significance.