JON MICHAEL WALLACE
Pilots at Maryland St, Houston, TX
License number
Texas A4151839
Issued Date
Jul 2016
Expiration Date
Jul 2017
Category
Airmen
Type
Authorized Aircraft Instructor
Address
Address
1724 Maryland St APT B, Houston, TX 77006
Professional information
Senior Reservoir Engineer At Hess Corporation
Position:
Senior Reservoir Engineer at Hess Corporation
Location:
Houston, Texas Area
Industry:
Oil & Energy
Work:
Hess Corporation
- Houston, Texas Area since Apr 2012
-
Senior Reservoir Engineer
Southwestern Energy Company
- Houdton, TX Jan 2012 - Apr 2012
-
Staff Reservoir Engineer
Southwestern Energy
Mar 2010 - Dec 2011
-
Senior Reservoir Engineer
ExxonMobil Upstream Research Company
Jan 2004 - Mar 2010
-
Engineering Specialist
Georgia Institute of Technology
1999 - 2000
-
Graduate research assistant and team lead
Education:
Georgia Institute of Technology 1993 - 2003
Ph.D, MSAE, MSME, BSME, Aerospace/Mechanical/Statistics Engineering
Ph.D, MSAE, MSME, BSME, Aerospace/Mechanical/Statistics Engineering
Honor & Awards:
Several awards and award nominations in petroleum and aerospace engineering.
Systems And Methods To Inhibit Packoff Formation During Drilling Assembly Removal From A Wellbore
US Patent:
2013015, Jun 20, 2013
Filed:
Dec 17, 2012
Appl. No.:
13/717164
Inventors:
Chinar R. Aphale - Houston TX, US
Pietro Valsecchi - Houston TX, US
Jon M. Wallace - Houston TX, US
Fuping Zhou - Sugar Land TX, US
Pietro Valsecchi - Houston TX, US
Jon M. Wallace - Houston TX, US
Fuping Zhou - Sugar Land TX, US
International Classification:
E21B 21/00, E21B 7/00
US Classification:
175 40, 175324
Abstract:
Systems and methods to inhibit packoff during drilling assembly removal from a wellbore, utilizing a drilling assembly that includes a transition region between a first section having a first cross-sectional area and a second section having a second cross-sectional area, wherein the second cross-sectional area is greater than the first cross-sectional area. The transition region includes a fluidizing assembly configured to partially fluidize a portion of the cuttings bed that is proximal to the transition region, and/or be in fluid communication with a flow control assembly configured to control flow rate of a fluidizing stream from the fluidizing assembly and to the portion of cuttings bed.
Discretized Physics-Based Models And Simulations Of Subterranean Regions, And Methods For Creating And Using The Same
US Patent:
2013007, Mar 21, 2013
Filed:
Aug 10, 2010
Appl. No.:
13/388843
Inventors:
Jon M. Wallace - Houston TX, US
Hao Huang - Houston TX, US
Jing Wan - Sugar Land TX, US
Hao Huang - Houston TX, US
Jing Wan - Sugar Land TX, US
International Classification:
G06G 7/48
US Classification:
703 10, 703 6
Abstract:
Methods for creating and using discretized physics-based models of subsurface regions, which may contain a hydrocarbon reservoir or other subsurface feature(s). The methods may include selecting a pre-solved model, applying a mesh to the pre-solved model, defining the shape of the subsurface region to be modeled, and transforming the pre-solved model, to which the mesh has been applied, to the shape of the subsurface region. In some methods, the pre-solved model is an idealized model. In some methods, the mesh is applied to a solution of potential field lines associated with the pre-solved model, and in some methods, the solution of potential field lines is a composite solution of a plurality of solutions of potential field lines. In some methods, one or more supershapes are used to define the shape of the subsurface region. In some methods, a hyperelastic strain deformation calculation is utilized for the transforming.
Method For Predicting Well Reliability By Computer Simulation
US Patent:
8265915, Sep 11, 2012
Filed:
Jun 13, 2008
Appl. No.:
12/602622
Inventors:
Sheng-Yuan Hsu - Sugar Land TX, US
Kevin H. Searles - Kingwood TX, US
Jon M. Wallace - Houston TX, US
Kevin H. Searles - Kingwood TX, US
Jon M. Wallace - Houston TX, US
Assignee:
ExxonMobil Upstream Research Company - Houston TX
International Classification:
G06F 17/50
US Classification:
703 10
Abstract:
Methods of predicting earth stresses in response to pore pressure changes in a hydrocarbon-bearing reservoir within a geomechanical system, include establishing physical boundaries for the geomechanical system and acquiring reservoir characteristics. Geomechanical simulations simulate the effects of changes in reservoir characteristics on stress in rock formations within the physical boundaries to determine the rock formation strength at selected nodes in the reservoir. The strength of the rock formations at the nodes is represented by an effective strain (ε), which includes a compaction strain (ε) and out-of-plane shear strains (Υ1-3, Y2-3) at a nodal point. The methods further include determining an effective strain criteria (ε) from a history of well failures in the physical boundaries. The effective strain (ε) at a selected nodal point is compared with the effective strain criteria (ε) to determine if the effective strain (ε) exceeds the effective strain criteria (ε).
Space-Time Surrogate Models Of Subterranean Regions
US Patent:
2011002, Feb 3, 2011
Filed:
May 14, 2010
Appl. No.:
12/780377
Inventors:
Jon M. Wallace - Houston TX, US
Jennifer A. Hommema - Pearland TX, US
Kevin H. Searles - Kingwood TX, US
Sheng-Yuan Hsu - Sugar Land TX, US
Jing Wan - Sugar Land TX, US
Eric R. Grueschow - Sugar Land TX, US
Jennifer A. Hommema - Pearland TX, US
Kevin H. Searles - Kingwood TX, US
Sheng-Yuan Hsu - Sugar Land TX, US
Jing Wan - Sugar Land TX, US
Eric R. Grueschow - Sugar Land TX, US
International Classification:
G06G 7/50, E21B 43/00
US Classification:
166369, 703 10
Abstract:
Methods for creating and using space-time surrogate models of subsurface regions, such as subsurface regions containing at least one hydrocarbon formation. The created surrogate models are explicit models that may be created from implicit models, such as computationally intensive full-physics models. The space-time surrogate models are parametric with respect to preselected variables, such as space, state, and/or design variables, while also indicating responsiveness of the preselected variables with respect to time. In some embodiments, the space-time surrogate model may be parametric with respect to preselected variables as well as to time. Methods for updating and evolving models of subsurface regions are also disclosed.