Adviser, Trainer, practitioner for Geomodeling and Geostatistics using Subsurface Data Analysis: Retired.Delivered several short training courses of the years covering fundamentals using theory, hands-on exercises and case studies to reinforce thought process. Currently SAGA Wisdom includes a version of a Geostatistics and Geomodeling short course as online modules with section quizzes. Consulting Projects and AdvisorI am a subject matter expert in using all information available for building geomodels using most industry packages with custom workflows. I use geostatistics to integrate diverse data and quantify uncertainties for economic decision making following an open, team inclusive approach. Associate of Geovariances, Fontainebleau, France: Geovariances is the world leader in geostatistical software. I use Isatis.neo for petroleum and mining. Isatis is used in my training courses as a general tool.

A critical duty encompassed writing 6 documents describing enhancements required to modernize Landmark’s Decision Space Earth Modeling software with leading edge techniques and industry best practice workflow capabilities. Applied comparative gap analysis with competitor functionality to identify top development priorities. Coordinated development of a plugin to Decision Space for Geovariances' Isatis geostatistical softwarePresented at the EAGE Petroleum Geostatistics on "Modeling three ways from electro-facies: categorical, e-facies probabilities, and petrophysicswith assignment" - Issues raised are not addressed by conventional geomodeling. Other public presentations were “Geomodeling in Challenging Oilsands Reservoirs" and "The Value of a Multidisciplinary Approach for Accurate Subsurface Modeling" presented for CSPG.Provided ad hoc advisory input to product managers. Scouted analytics ideas.Lead guest editor for the Gussow 2015 Special Edition of the Bulletin of Canadian Petroleum Geology, Vol. 63. The volume is a collection of papers from the Gussow 2014 convention I chaired.

Challenging Reservoirs Team, Heavy Oil Technology Centre (HOTC), Unconventionals R&D & Innovation. Research role in an applied R&D reservoir characterization team.• Team Added $100MM NPV to the portfolio. Constructed geomodels adapted to in-situ extraction technologies for marginally economic oilsands reservoirs. Incorporated 3D seismic geobodies and dipping lateral accretion beds. Specific customization was applied to saturation trend modeling and effective permeabilities for distinct rock types in the thermal simulator. Peer reviewed paper published.• Electrofacies studies were performed with EasyTrace as a formal Technology Development Plan to advance methods to predict facies/rocktypes using guided machine learning. Documented recommended best practices. The methods were applied to assets and analogue fields. Potential to save $500M/yr in coring.• Coordinated a multi-scale permeability study to improve inputs to geomodels with image logs. Carried out in collaboration with the Centre for Computational Geostatistics, U of Alberta. Geomodeling Tech Corp’s SBED was tested. Yielded appropriately scaled P-field models of effective permeability for each depo-facies used in the geomodels. Peer reviewed Paper was published• Developed scope, tested code and collaborated on development of Pad Placement + Well Pair Drainage Optimization technology from the CCG. Identified new criteria and constraints to optimize SAGD developments and subsequently transferred to teams for 3 assets.• Provided reservoir characterization and analytics assistance to an asset team to define workflow practices, and update petrophysical practices to improve bitumen evaluation. Implemented tools for stochastic model post-processing, connected net bitumen pay, SAGDable volumetrics, ranking realizations, uncertainty analysis • Provided Public and in-house training on Geomodeling and Geostatistics.

Ells River Oil Sands Project, Athabasca Basin: early development planning for a 6 billion barrel bitumen resource suitable for SAGD-based thermal extraction; assess the geologic configuration, reservoir risks, reservoir performance, economic risks and uncertainties; implemented SAGD performance prediction and forecasting by integrated geostatistics and reservoir modeling with inputs from geology, geophysics, and petrophysics into reservoir simulation with feedback loops.Expertise was targeted for SAGD geological modeling with implementation of new workflow designs to plan various exploitation scenarios incorporating 1D electrofacies models and multi-scale geological models to address issues from core facies to pad and lease scales.• Generated electro-facies curves with a non-parametric discriminant analysis from logs and described core litho-facies as conditioning data for geomodeling. • Implemented custom workflows for post-processing models using SAGD pad scale bitumen pay criteria to derive probability distributions (P10-50-90) of SAGDable volumetrics, maps of quality, thickness, and as selection criteria for feeding the reservoir simulator.• Applied multivariate geostatistical mapping using 30+ reservoir parameters to provide inputs to develop reservoir response surfaces as a proxy for simulation to forecast performance across leases. • Modeling reservoir permeability: coordinated research with Centre for Computational Geostatistics, Univ of Alberta, to study scale-up issues for core permeability data to grid blocks for SAGD pad size models; investigated methodologies to convert FMI log textures to permeability profiles.• Mentored a geophysicist on integrating 3D seismic attributes and well litho-facies into a 3D facies proportion trend model. • Collaborated to build a geomodel as an analogue using UTF Phase B to understand the impact of heterogeneities on SAGD performance.• Trained 2 technologists.

Geostatistical Reservoir Characterization of the Surmont SAGD Project, Athabasca Basin: • Assess the SAGD resource using lease-scale multi-variate geostatistical mapping. • Optimize horizontal well placement through post-processing stochastic geomodels using performance ranking for development planning. • Forecast SAGD performance. Downscale geomodels for local pad thermal simulations. Rank realizations over pad areas using SAGD connectivity criteria. Provide static models, fit for the thermal process, as inputs to the thermal simulator.

Specialist Studies in Applied Geostatistics and Geomodeling: Consultant in Applied Geostatistics for over 18 international and domestic Reservoir Modeling Projects, plus 1 Mining Resource study. Presented public geostatistics training courses; aligned with IFP, Beicip-Franlab, and Geovariances. Provided internships for 2 sponsored French students.West African Field Studies:• Atum Field, Block 2, Angola LNG (Texaco/Baker-Hughes/Sonagol): Built a normal faulted geomodel for a Pinda Fm reservoir; co-Kriged stacking velocities+wells for a 3D velocity model to convert 10 faults and surfaces to a structurally consistent faulted depth framework.• Obangue Field, Gabon (Ocelot Energy): Gamba Sands volumetric study• Remboue Field, Gabon (Chauvco Intl): High perm Gamba; OOIP halvedContracted to Teknica for International Studies:• Dahra Jofra, Zaggut, Belhedan, Defa Fields, Libya (Waha Oil): Reservoir modeling studies including 2d seismic depth conversions, efacies models for a variety of faulted carbonate and fractured quartzite reservoirs up to a billion barrels. Issues addressed included normal faulting, fluid contacts, and compartmentalization• Pazanan Field, Iran (National Iranian Oil Co): Geostatistically depth converted 2D seismic for a reverse faulted framework for a reservoir study• Campo Rio Grande Field, Bolivia (Andina): Integrated multiple seismic attributes into 3D facies proportions for geomodels over a prolific gas reservoir• Sierra Barrosa, Aguada Toledo, Cerro Fortunosa Fields, Argentina (YPF): Integrated seismic attributes into faulted Cretaceous clastics modelsCanadian Studies:• Wimborne Field (Ulster Petroleum): Constructed Devonian Leduc transitional carbonate reef models. Built a framework using geostatistical seismic time-to-depth, and depo-region efacies modeling for 3D facies trends. Vertical perm characterization by facies was a key in the success for history matching and forecasting adding 20 million barrels recoverable.And More