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Randy J Vaal, 68422 W Prancer Dr N, Santa Claus, IN 47579

Known as:
Randy Joseph Vaal Randell Joseph Vaal Randell J Vaal

Randy Vaal Phones & Addresses

422 W Prancer Dr N, Santa Claus, IN 47579    281-6102223   

Houston, TX   

Ferdinand, IN   

Meadows Place, TX   

422 W Prancer Dr N, Santa Claus, IN 47579   

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Randy Vaal resumes & CV records

Resumes

Randy Vaal Photo 7

Randy Vaal

Location:
422 west Prancer Dr north, Santa Claus, IN 47579
Industry:
Oil & Energy
Work:
Schlumberger since Jan 2011
Project Architect Schlumberger 1996 - Jan 2011
Project Manager OGCI Software, Inc. 1989 - 1996
Manager, Development Chevron USA, Inc. 1984 - 1986
Gas and Chemical Engineer Gulf Oil Corporation 1982 - 1986
Reservoir Engineer Monsanto Company 1979 - 1982
Chemical Engineer
Education:
University of Houston 1986 - 1987
MSChE, Chemical Engineering Rose-Hulman Institute of Technology 1975 - 1979
BS, Chemical Engineering
Skills:
Petroleum, Petroleum Engineering, Oilfield, Gas, Oil and Gas, Oil/Gas, Reservoir Engineering, Production Engineering, Upstream, Energy, Energy Industry, Reservoir Management, Engineering, Process Engineering, Modeling, Process Simulation
Randy Vaal Photo 8

Randy Vaal

Publications & IP owners

Us Patents

Integrating Field Data

US Patent:
2010031, Dec 9, 2010
Filed:
Jan 20, 2009
Appl. No.:
12/864808
Inventors:
Randy J. Vaal - Meadows Place TX, US
Daniel Lucas-Clements - Oxfordshire, GB
International Classification:
G06G 7/48
US Classification:
703 10
Abstract:
An example method of integrating field data that includes obtaining the field data associated with a field and performing a production analysis on the field data to generate a production output, the production analysis performed by a production engineering tool. The method further includes transforming the field data to obtain transformed field data requested by a field application and sending the transformed field data from the production engineering tool to the field application, the field application performing a field analysis using the transformed field data to generate a field output. The method further includes generating a comparison of the production output and the field output.

System And Method For Performing Oilfield Production Operations

US Patent:
2008030, Dec 11, 2008
Filed:
Jun 4, 2008
Appl. No.:
12/133332
Inventors:
Randy J. Vaal - Stafford TX, US
Fernando Gutierrez - Houston TX, US
Daniel Colin Nesbitt Lucas-Clements - Nr Faringdon, GB
Michael Stundner - Baden, AT
Andrew John Howell - Calgary, CA
Assignee:
SCHLUMBERGER TECHNOLOGY CORPORATION - Houston TX
International Classification:
G05B 19/418
US Classification:
705 8
Abstract:
The invention relates to a method of performing production operations of an oilfield having at least one process facility and at least one wellsite operatively connected thereto, each at least one wellsite having a wellbore penetrating a subterranean formation for extracting fluid from an underground reservoir therein. The method steps include receiving a number of steps each from at least one of a number of collaborators, specifying an automated workflow including the number of steps and for generating a first well plan, obtaining first data associated with the production operations, applying the automated workflow to the first data to generate the first well plan, adjusting the production operations based on the first well plan, and modifying at least one of the number of steps based on input from at least one of the number of collaborators to generate an updated automated workflow.

Oilfield Production Forecasting System

US Patent:
2014013, May 15, 2014
Filed:
Jan 24, 2013
Appl. No.:
13/748938
Inventors:
- Sugar Land TX, US
Randy J. Vaal - Stafford TX, US
Steve Reagan - Richmond TX, US
Assignee:
SCHLUMBERGER TECHNOLOGY CORPORATION - Sugar Land TX
International Classification:
E21B 49/00
US Classification:
702 6
Abstract:
A system, method and computer readable medium capable of improving the efficiency and accuracy of oilfield production forecasting operations is described herein. Measured oilfield production data may be utilized to generate estimates for the mean, covariance and noise. Refined estimates for the mean and the covariance may be generated using a Bayesian probabilistic updating algorithm. The refined estimates may be utilized to generate an oilfield production forecast having a refined exponential decline curve associated with the measured production data and one or more uncertainty designations.

Possible Relatives

Sarah K Vaal  Randy Johnson  Randy J Stamps  Randy L Johnston  Randy D Standridge  Randy D Stanford  Randy White  Randy D Joiner  Randy A Jones  Randy Stanger 

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