Lei Wang - The Woodlands TX, US Stephen M. Remmert - Crossville TN, US Paul E. Pastusek - The Woodlands TX, US Jeffrey R. Bailey - Houston TX, US Matthew T. Prim - Houston TX, US Darren Pais - Princeton NJ, US Gregory S. Payette - Houston TX, US
International Classification:
G05B 13/00
US Classification:
700 28
Abstract:
Combined methods and systems for optimizing drilling related operations include global search engines and local search engines to find the optimal value for at least one controllable drilling parameter, and a data fusion module to combine or select the operational recommendations from global and local search engines. The operational recommendations are used to optimize the objective function, mitigate dysfunctions, and improve drilling efficiency.
Methods For Drilling A Wellbore Within A Subsurface Region And Drilling Assemblies That Include And/Or Utilize The Methods
Benjamin Spivey - Houston TX, US Gregory S. Payette - Spring TX, US Darren Pais - Houston TX, US Krishnan Kumaran - Raritan NJ, US Lei Wang - The Woodlands TX, US Jeffrey R. Bailey - Houston TX, US Paul E. Pastusek - The Woodlands TX, US
International Classification:
E21B 44/02 E21B 47/12 E21B 47/06 E21B 45/00
Abstract:
Methods for drilling a wellbore within a subsurface region and drilling assemblies and systems that include and/or utilize the methods are disclosed herein. The methods include receiving a plurality of drilling performance indicator maps, normalizing the plurality of drilling performance indicator maps to generate a plurality of normalized maps, adaptive trending of the plurality of drilling performance indicator maps to generate a plurality of trended maps, summing the plurality of trended maps to generate an objective map, selecting a desired operating regime from the objective map, and adjusting at least one drilling operational parameter of a drilling rig based, at least in part, on the desired operating regime.
Gregory S. Payette - Spring TX, US Dar-Lon Chang - Sugar Land TX, US Darren Pais - Houston TX, US Jeffrey R. Bailey - Houston TX, US
International Classification:
G05B 19/416 E21B 45/00 E21B 7/00 E21B 44/04
Abstract:
Methods and systems for controlling a drilling operation based on an MSE value calculated for a depth increment are disclosed herein. In an exemplary method, drilling parameters characterizing a drilling operation in a subterranean formation are received in a control system. The drilling parameters are used by the control system to calculate a depth-based mechanical specific energy (MSE) based on some amount of energy expended by at least a portion of a drilling assembly while drilling at least one identified depth sub-interval of a depth interval of a subterranean formation. The control system uses the calculated depth-based MSE to control the drilling operation.
Drilling Advisory Systems And Methods To Filter Data
Dar-Lon Chang - Sugar Land TX, US Lei Wang - The Woodlands TX, US Paul E. Pastusek - The Woodlands TX, US Jeffrey R. Bailey - Houston TX, US Gregory S. Payette - Houston TX, US Darren Pais - Houston TX, US
International Classification:
E21B 44/02
US Classification:
700275
Abstract:
Integrated methods and systems for optimizing drilling related operations include recording data, parsing the data into intervals and analyzing the intervals to determine if the performance data in each time interval is of sufficient quality for using the interval data in a performance optimization process. The quality assessment may involve evaluating the data against a set of determined standards or ranges. The performance optimization process may utilize data mapping and/or modeling to make performance optimization process recommendations.
ExxonMobil - Houston, TX since Feb 2013
Research Engineer
Princeton University Sep 2007 - Oct 2012
Graduate Student
ExxonMobil Upstream Research Jul 2011 - Sep 2011
Engineering Research Intern
California Institute of Technology Jun 2006 - Sep 2006
Summer Undergraduate Research Fellow
California Institute of Technology Jun 2005 - Sep 2005
Summer Undergraduate Research Fellow
Education:
Princeton University 2007 - 2012
Ph. D., M.A., Mechanical and Aerospace Engineering
Saint Louis University 2003 - 2007
B.S. Honors, Aerospace Engineering, Applied Math
Skills:
Dynamical Systems Control Theory Matlab Mathematical Modeling C++ Statistical Modeling Drilling Engineering Robotics Latex Mathematica Applied Mathematics Physics Optimization Numerical Analysis
Darren Pais Julia Hoare: Grades: PreK through 8th: Enrollment: 995 (2007) Color(s) Blue and Gold Mascot: Tornados: Rival: Plantation key school: Website
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