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Dylan Robert Harp

Dylan Harp

Email
Phone (505) 667-5532

Capabilities

  • Computational Physics and Applied Mathematics
  • Numerical modeling
  • Mesh generation
  • Agent-based applications
  • Uncertainty quantification
  • Uncertainty analysis
  • Earth and Space Sciences
  • Hydrology
  • Computer and Computational Sciences
  • Machine learning,
  • Earth and Space Sciences
  • Climate modeling
  • Computer and Computational Sciences
  • High performance computing
  • Earth and Space Sciences
  • PFLOTRAN
  • Computational Physics and Applied Mathematics
  • Sensitivity analysis
  • Earth and Space Sciences
  • Decision Analysis
  • Inverse modeling
  • Model calibration
  • FEHM: Finite-Element Heat and Mass-Transfer

Expertise

Dylan Harp is a computational hydrogeologist. He designs and implements data analysis, analytical and numerical simulators, and uncertainty quantification algorithms for hydrogeological investigations. His areas of research include groundwater flow and contaminant transport, CO2 sequestration, nuclear waste disposal, permafrost degradation, gas migration from underground nuclear explosions, and geothermal energy development.

Dylan utilizes and develops the following groundwater flow and transport simulators:

  • FEHM, Finite Element Heat and Mass Transfer
  • ATS, The Advanced Terrestrial Simulator
  • Amanzi, The Advanced Simulation Capability for Environmental Managment (ASCEM) simulator
  • PFLOTRAN

Dylan is the primary develop of:

  • MATK, Python Model Analysis ToolKit package
  • PyLaGriT, Python frontend for the Los Alamos Grid Toolbox (LaGriT)

Dylan is a codeveloper of the uncertainty quantification code Model Analysis and Decision Support, MADS and the Uncertainty Quantification toolkit (UQuant) within the ASCEM project.  

Dylan also uses the following uncertainty quantification tools to solve hydrogeological problems:

 

Education

PhD Civil Engineering UNM, 2009; Dissertation: Hydrogeological Engineering Approaches to Investigate and Characterize Heterogeneous Aquifers; Advisor: Bruce Thomson

MS Civil Engineering UNM, 2005: Thesis: Measurement and Estimation of Soil-Water Evaporation from Bare Soil; Advisor: John Stormont

BS Civil Engineering UNM, 2004: Summa Cum Laude

 

LANL Positions

Research Scientist - 2010-Present

Postdoctoral Research Fellow 2009-2010

Graduate Research Assistant 2006-2009

 

Professional Societies

American Geophysical Union

 

Awards

New Mexico Small Business Program Top Ten Success Story Award with Letter of Appreciation from New Mexico Governor Susana Martinez
Real Works Scholar Fellowship
American Chemical Society Award
 

Publications

 

Dylan Harp's Google Scholar page

 

[1] Maruti Mudunuru, Satish Karra, Dylan R Harp, George Guthrie, and Hari Viswanathan.

Interpolation-based reduced-order models to predict transient thermal output for enhanced

geothermal systems. Geothermics, 2016. In Review.

[2] Elizabeth H Keating, Diana Bacon, Susan Carroll, Kayyum Mansoor, Liange Zheng,

Yunwei Sun, and Dylan R Harp. Applicability of aquifer impact models to support

decisions at CO2 sequestration sites. International Journal of Greenhouse Gas Control,

2016. In Revision.

[3] Adam L Atchley, Ethan T Coon, Scott L Painter, Dylan R Harp, and Cathy Wilson.

Influences and interactions of inundation, peat, and snow on active layer thickness. Geo-

physical Research Letters, 2016. In Review.

[4] Dylan R Harp, Rajesh Pawar, J William Carey, and CarlWGable. Reduced order models

of transient CO2 and brine leakage along abandoned wellbores from geologic carbon

sequestration reservoirs. NRAP Special Edition: International Journal of Greenhouse

Gas Control, 45:150{162, 2016.

[5] Dylan R Harp, AL Atchley, SL Painter, ET Coon, CJ Wilson, VE Romanovsky, and

JC Rowland. Eect of soil property uncertainties on permafrost thaw projections: a

calibration-constrained analysis. The Cryosphere, 10(1):341{358, 2016.

[6] Elizabeth H Keating, Dylan R Harp, Zhenxue Dai, and Rajesh J Pawar. Reduced order

models for assessing co 2 impacts in shallow unconned aquifers. International Journal

of Greenhouse Gas Control, 46:187{196, 2016.

[7] Ylva Sjoberg, Ethan Coon, Britta Sannel, Romain Pannetier, Dylan R Harp, Andrew

Frampton, Scott L Painter, and Steve W Lyon. Thermal eects of groundwater flow

through subarctic fens a case study based on eld observations and numerical modeling.

Water Resources Research, 2016. Accepted article.

[8] AL Atchley, SL Painter, Dylan R Harp, ET Coon, CJ Wilson, AK Liljedahl, and VE Romanovsky.

Using eld observations to inform thermal hydrology models of permafrost

dynamics with ATS (v0. 83). Geoscientic Model Development, 8(4):27012722, 2015.

[9] Amy B Jordan, Philip H Stauer, Dylan R Harp, J William Carey, and Rajesh J Pawar.

A response surface model to predict CO2 and brine leakage along cemented wellbores.

International Journal of Greenhouse Gas Control, 33:27{39, 2015.

[10] Dylan R Harp, Philip H Stauer, Phoolendra K Mishra, Daniel G Levitt, and Bruce A

Robinson. Thermal modeling of high-level nuclear waste disposal in a salt repository.

Nuclear Technology, 187(3):294{307, 2014.

[11] Dylan R Harp, Rajesh Pawar, and Carl W Gable. Numerical modeling of cemented

wellbore leakage from storage reservoirs with secondary capture due to thief zones. Energy

Procedia, 63:3532{3543, 2014.

[12] Dylan R Harp and Velimir V Vesselinov. Accounting for the in

uence of aquifer heterogeneity

on spatial propagation of pumping drawdown. Journal of Water Resource and

Hydraulic Engineering, 2(3), 2013.

[13] Dylan R Harp and Velimir V Vesselinov. Contaminant remediation decision analysis

using information gap theory. Stochastic Environmental Research and Risk Assessment,

27(1):159{168, 2013.

[14] Dylan R Harp and Velimir V Vesselinov. An agent-based approach to global uncertainty

and sensitivity analysis. Computers & Geosciences, 40:19{27, 2012.

[15] Dylan R Harp and Velimir V Vesselinov. Analysis of hydrogeological structure uncertainty

by estimation of hydrogeological acceptance probability of geostatistical models.

Advances in Water Resources, 36:64{74, 2012.

[16] Velimir V Vesselinov and Dylan R Harp. Adaptive hybrid optimization strategy for calibration

and parameter estimation of physical process models. Computers & Geosciences,

49:10{20, 2012.

[17] Dylan R Harp and Velimir V Vesselinov. Identification of pumping influences in longterm

water level fluctuations. Ground water, 49(3):403{414, 2011.

[18] Dylan R Harp and Velimir V Vesselinov. Stochastic inverse method for estimation of geostatistical

representation of hydrogeologic stratigraphy using borehole logs and pressure

observations. Stochastic Environmental Research and Risk Assessment, 24(7):1023{1042,

2010.

[19] Dylan R Harp, Mahmoud Reda Taha, and Timothy J Ross. Genetic-fuzzy approach

for modeling complex systems with an example application in masonry bond strength

prediction. Journal of Computing in Civil Engineering, 23(3):193{199, 2009.

[20] Dylan R Harp, Zhenxue Dai, Andrew V Wolfsberg, Jasper A Vrugt, Bruce A Robinson,

and Velimir V Vesselinov. Aquifer structure identication using stochastic inversion.

Geophysical Research Letters, 35(8), 2008.

[21] Dylan R Harp, MM Reda Taha, JC Stormont, E Farfan, and J Coonrod. An evaporation

estimation model using optimized fuzzy learning from example algorithm with an

application to the riparian zone of the middle rio grande in new mexico, usa. Ecological

Modelling, 208(2):119{128, 2007.

 

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