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Arifin Purwanto

from Kingwood, TX
Age ~68
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Also known as:
Purwanto Arifin
Connected to:
Herry Purwanto, 65Darren A Purwin, 48Jerry Purwin, 69Tonya L Puryea, 51Anjanette L Puryear, 54Beauford Puryear, 60Casie L Puryear, 47Debi Puryear, 62Diana K Puryear, 73Dodson A Puryear, 109

Arifin Purwanto Phones & Addresses

  • Kingwood, TX
  • 3014 Poplar Valley Way, Humble, TX 77345

Work

Company: Schlumberger Aug 1991 to Aug 1997 Position: Cell manager-m and lwd

Education

School / High School: University of Indonesia 1985 to 1990

Skills

Onshore • Offshore Drilling • Oilfield • Petroleum • Drilling • Oil/Gas • Intelligent Systems • Risk Management • Drill Bits • Petrel • Log Analysis • Formation Evaluation • Drilling Engineering • Petroleum Engineering • Energy Industry • Upstream • Engineering • Energy • Oil • Logging • Directional Drilling • Gas • Pressure • Oil and Gas

Languages

English • Indonesian

Emails

a***[email protected]

Industries

Oil & Energy

Resumes

Resumes

Arifin Purwanto Photo 1

Manager

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Location:
3014 Poplar Valley Way, Kingwood, TX 77345
Industry:
Oil & Energy
Work:
Schlumberger Aug 1991 - Aug 1997
Cell Manager-M and Lwd
Schlumberger Aug 1991 - Aug 1997
Manager
Education:
University of Indonesia 1985 - 1990
Skills:
Onshore
Offshore Drilling
Oilfield
Petroleum
Drilling
Oil/Gas
Intelligent Systems
Risk Management
Drill Bits
Petrel
Log Analysis
Formation Evaluation
Drilling Engineering
Petroleum Engineering
Energy Industry
Upstream
Engineering
Energy
Oil
Logging
Directional Drilling
Gas
Pressure
Oil and Gas
Languages:
English
Indonesian

Publications

Us Patents

Borehole Drilling Optimization With Multiple Cutting Structures

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US Patent:
20110232968, Sep 29, 2011
Filed:
Mar 26, 2010
Appl. No.:
12/732301
Inventors:
Arifin Purwanto - Kingwood TX, US
David P. Moran - The Woodlands TX, US
Lei Yan - Spring TX, US
Assignee:
SMITH INTERNATIONAL, INC. - Houston TX
International Classification:
E21B 7/00
US Classification:
175 57
Abstract:
A method of optimizing a drilling operating parameter or a drilling system parameter for a drilling assembly employing at least first and second distinct cutting structures includes entering at least one design parameter for each of the cutting structures into a trained artificial neural network. At least one of the design parameters of the first cutting structure may be optionally combined with at least one of the design parameters of the second cutting structure. The combined design parameter may also be entered into the artificial neural network.
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Arifin Purwanto from Kingwood, TX, age ~68 Get Report