Blue Geosimulation 2015 Present, Scientific Development Manager Hydrogeologist and Geospatial Developer

Transcription

1 Devin is a hydrogeologist and geospatial developer with 12 years of experience consulting on a dynamic range of projects, primarily related to water, geology, land use, population, risk, and geospatial analysis. Devin has worked in both North and Central America in technical leadership and project management roles for both government and industry. Devin combines field experience, robust programming skills, data analysis, and scientific knowledge to find novel solutions to complex geospatial problems. He has played pivotal roles in many challenging geoscience and simulation projects of multi-disciplinary nature. This has enabled Devin to build a rich technical foundation to approach complex problems, and creative communication skills to disseminate results. Master of Science Environmental Science, University of Lethbridge Lethbridge, Alberta Master of Science (Component) Geo-Information Science and Earth Observation, University of Twente Enschede, Netherlands Professional Geoscientist Association of Professional Engineers and Geoscientists of British Columbia Professional Geologist Association of Professional Engineers and Geoscientists of Alberta Bachelor of Science Environmental Earth Science, University of Alberta Edmonton, Alberta Blue Geosimulation 2015 Present, Scientific Development Manager Hydrogeologist and Geospatial Developer Managing a team of programmers and scientists dedicated to the pursuit of innovative and efficient approaches to water management, land use, and population challenges. Working with exceptional people to integrate various open-source technologies into software to provide custom decision support and communication tools for use by both professionals and the general public.

2 Integrated Sustainability Consultants Ltd , Hydrogeologist & Geospatial Analyst Conceptualizing and implementing hydrogeological and spatial computational tools for groundwater risk, exposure analysis, subsurface fluid disposal, groundwater/surface water interaction, monitoring optimization, and regional-scale hydrological modelling. Development of custom applications for use by water stakeholders and industry operators to enhance understanding of natural systems and facilitate decision making. Stantec Consulting Panama SA , Hydrogeologist & Technical Lead Planned and oversaw environmental site assessments, groundwater characterization, and data analysis/interpretation at multiple locales in Central America and the United States. Responsibilities also included mentoring local Panamanian and American employees on technical and safety practices. Stantec Consulting Ltd , Hydrogeologist Performed hydrogeological assessments, including groundwater supply, groundwater quality evaluation, geothermal applications, carbon sequestration and storage, site assessment and remediation programs for a diverse range of clients and projects. Geospatial Development An open-source geospatial analysis library written in Python called bluegeo is maintained and under ongoing development. This library is used to easily perform complex geospatial analysis using raster and vector datasets, and has multiple filter, measurement, and water-based methods built in. The bluegeo library leverages the GDAL, Shapely, Scipy, Numpy, Scikit-Image, and h5py libraries. This library provides opportunity to perform many challenging data management and geospatial analysis tasks quickly and effectively. Geomorphology & Terrain Analysis Knowledge in geomorphology, geology, and hydrology has been applied to create custom models to simulate the interaction between geomorphology and water. Methods of automated landform classification and hydrologic networking have been used to create novel models to simulate surface water-groundwater interaction. Factors such as the shape of the landscape, genetic origin, sediment redistribution and water mass balance are included in algorithms that are tailored to predict the sensitivity of the landscape to change. These methods have been used in numerous projects, which include quantifying groundwatersurface water interaction sensitivity for municipal development, aquatic habitat, forestry

3 planning, infrastructure placement optimization, baseflow in mountain watersheds, and riparian zone mapping and sensitivity. Groundwater Modelling Analytical, numerical and conceptual models have been developed in support of numerous projects related to natural assessments, mining, and oil and gas. Creative and complex visual graphics were created in support of conceptual hydrogeological models, and were included in detailed reporting on groundwater projects. Physical groundwater calculations such as hydraulic conductivity, yield, and drawdown were performed using existing and custom-coded software. Numerical modelling methods have included analytical element methods using the Visual AEM software from the University of Waterloo, and finite-difference methods using Visual Modflow, Model Muse, and automated MODFLOW scripts in Python using the Flopy API. Risk Analysis Risk matrices applied to problems by industry professionals were decomposed and implemented using custom algorithms to apply them in a spatial and temporal manner. This methodology has been used on multiple projects related to water security, environmental assessments, unconventional oil and gas extraction, land use, and hazardous waste disposal. This updated risk methodology is applied in the context of a multi-criteria analysis, which provides spatial and temporal delineation of risk, and the identification of priority regions. These methods have also been proven to be opportunistic for software creation, whereby the input of various professionals may be aggregated in real time to compute map or graph-based visuals. This type of software has been applied to identify risk to groundwater, groundwater monitoring placement optimization, waste disposal, infrastructure placement, and water sourcing. Population Dynamics Simulation Methods of simulating populations of various species over time were aggregated and coded into an original population dynamics model used in conjunction with landscape and land-use software. This population dynamics code has advanced through several versions, and serves to simulate populations of multiple, interacting species over discrete time intervals. Physical and morphological concepts such as habitat, density, fecundity, mortality, migration/emigration, and mass/stature were mathematically integrated into spatiallydistributed model domains and solved to predict populations over time. Hydrologic Modelling Hydrologic modelling experience includes a deep involvement in computational advancement, and an emphasis on novel data integration in several hydrologic models. Methods used in academia were coded into modern programming frameworks, and graphical user interfaces were applied when necessary. Applied modelling included the use of the Raven Hydrologic Modelling Framework, and development of code to parameterize and run models. Methods were developed to dynamically create hydrologic response units to pair simulations with landscape, land-use, climate and groundwater changes over time. Code and methods to

4 run simulations in parallel on cloud computing environments were created to integrate large datasets and run hundreds of scenarios for hydrologic forecasting. Flight Path Optimization The inverse theory that applies to geoscience has provided opportunity to apply similar principles and knowledge from the 3D subsurface to the above-ground domain. Data collection via aircraft requires theory related to aviation be applied to flight path optimization. Machine learning and multi-attribute utility theory was applied to create pre-flight paths, and to modify flight paths in real time to incorporate updated data through collection streams. Landscape and Land-use Unique software and simulation tools were developed for custom use, and as part of a larger landscape and land-use planning software. These tools included the creation of a low-space optimized data storage type, integration of open-source geospatial libraries, custom landscape simulation algorithms, and the creation of optimized cloud computing environments to complete simulations. Relational scientific concepts such as water, climate, networking and risk were also included in these analyses, and respective software was developed to bridge these disciplines for use in management and planning. Climate Data & Simulation Preparation of gridded climate data was completed at various scales using several methods. Collection of historical data from Canadian meteorologic stations was automated through network database connections and were used in hydrometeorologic models and water balance calculations. Various interpolation techniques were used to compute spatiallydistributed temperature and precipitation values over time, and custom coding of hydrometeorological models was completed to broadcast meteorologic data over various scales. Optimized code was also developed to quickly downscale large-scale global and regional circulation models using cloud computing. Water Quality Field and laboratory analysis of groundwater and surface water was used in many projects for water fingerprinting, contamination, and dating using constituent and isotopic analyses. Significance of chemistry results and relevant recommendations were provided for site assessments, natural characterization, and regulatory compliance for study areas ranging from individual households to provinces. Reservoir Fluid Disposal Disposal of hazardous or non-potable fluids in deep reservoirs benefits from collaborative approaches between operators to optimize storage usage, overhead cost, and to mitigate risk. These projects included novel approaches to aggregating large-scale reservoir and geologic data into usable results to determine potentially optimal locations for collaborative, largescale disposal. Applications were created to help stakeholders identify their role and potential benefits from the collaboration. Other related projects included large-scale risk assessments

5 related to fluid injection to determine optimal configurations for a regional groundwater monitoring network. CO 2 Sequestration Large-scale environmental site assessments for CO 2 sequestration in Precambrian rock required multiple groundwater well installations in various Western Canadian Sedimentary Basin hydrostratigraphic units, which included detailed logging, coring, and groundwater sampling. Reporting on sequestration projects required close collaboration between engineers, geoscientists, operators, regulators, and field staff. Geothermal Resources Desktop hydrogeological assessments, field studies, and conceptual modelling and feasibility analyses were conducted in support of geothermal system design and installation. Groundwater monitoring wells were installed where necessary, and conceptual groundwater modelling was completed in support geothermal system design optimization. Regulatory Compliance & Site Assessments Work in regulatory compliance roles included environmental assessments and monitoring compliance projects related to surface water, groundwater, soil, and phase-assessments for upstream and downstream oil and gas sites, in addition to chemical manufacturing and commercial operations. Project management, data analysis, and compliance reporting were prepared for various clients to various regulatory bodies. Remediation measures were implemented and managed using tier-based analyses and exposure analysis as a result of negotiations with regulators.