Presentation Title

David Garner
TerraMod Consulting, Canada

Introduction to Closing the Gap III

Session 1: Reservoir Management and Decision Making

Session Chairs: Clayton Deutsch, Colin Daly

Clayton Deutsch
University of Alberta, Canada

Actionable Research in Petroleum Geostatistics

Jo Eidsvik 
NTNU, Gløshaugen, Norway

Value of information of time-lapse seismic data 
for infill drilling decisions

Guillaume Caumon
Université de Lorraine, France

Associating subsurface data with geological rules: on 
some new methods to address structural, stratigraphic 
 and sedimentological uncertainties

Enrique Gallardo
Ecopetrol, Colombia

Approximate Physics Discrete Simulation of the Steam-Chamber: A tool to embrace Geological Uncertainty in SAGD Reservoir Management

Pippa Murphy
Velvet Energy Ltd., Canada

The importance of a fully integrated geomodel in
 the simulation of hydraulic fracture geometries,
an example from the Montney at Gold Creek

Colin Daly
Schlumberger, U.K.

Advantages of integrating machine
learning into property modelling

Session 2: Integrating Geology in Geomodeling

Session Chairs: Petter Abrahamsen, Helena van der Vegt, Lisa Stright

Ingrid Aarnes 
Norwegian Computing
Centre, Norway

Traversing the gap from sedimentary process 
models to facies modeling

Helena van der Vegt
Delft University of 
Technology, The Netherlands

From depositional processes to connected geo-bodies
using process-based modelling

Lisa Stright
Colorado State University, USA

The impact of bed- to geobody-architecture on 
subsurface reservoir modeling: Testing hypotheses based on deep-water channel outcrops

Samuel M. Hudson
Brigham Young University, USA

Characterization of High Net-to Gross Fluvial Strata of the Cretaceous Ericson Sandstone Through Outcrop Studies – Dealing with Intrinsic Data Bias at Multiple Scales in the Pursuit  of a Representative Geomodel

Jaime Vargas
Chevron, USA

Vaca Muerta Facies Modeling: Application of 3D Seismic  Impedance and Sequential Indicator Simulation for  Reservoir Prediction in an Unconventional Setting

John Nieto
Canbriam Energy Inc., Canada

Geomodelling as a tool for optimizing completions
in the Montney Formation

Olena Babak
Cenovus Energy Inc., Canada

Uncovering potential of seismic for reservoir 
characterization in Canadian oil sands

Session 3: Multi-scale Data and Multi-variate Modeling in Practice

Session Chairs: Sanjay Srinivasan, J. Jaime Gómez-Hernández

Sanjay Srinivasan
Penn State University, USA 

 From Face Detection to Fractured Reservoir Characterization: Big Data Analytics for Re-Stimulation Candidate Selection

Dario Grana
University of Wyoming, USA

Bayesian inversion of seismic, electromagnetic, and production data for rock and fluid property prediction

Vasily Demyanov
Heriot-Watt University, Scotland

Multi-scale hierarchical uncertainty quantification
through history matching

J. Jaime Gómez-Hernández
Universtat Politècncia
 de València, Spain

Ensemble filters vs. ensemble smoothers vs. musical ensembles

Benham Jafarpour
University of South Carolina, USA

Conditioning Facies Simulation from Training-Images on Flow Data 

Steve Lyster
Alberta Energy Regulator, Canada

Large-Scale Unconventional Resource Modelling: 3D 
Modelling vs. 2D Mapping

Vitaly Khoriakov
Halliburton Landmark, Canada

Petroleum Reservoir Characterization with Machine
Learning and Geostatistics

Session 4: Challenging Properties, Workflows and Case Histories

Session Chairs: Michael Pyrcz, Mohan Srivastava, Matthew Casey

Amilcar Soares
Instituto Superior Téchnico, Portugal

Integration of seismic reflection and production data in a geostatistical history matching procedure.

 Dimitri D'or
Ephesia Consult, Belgium

Opening new horizons in petroleum geostatistics: the SPDE approach

 Michael Pyrcz
University of Texas, USA

 New Geostatistical Workflows for Modeling Uncertainty for Unconventionals

 Richard Chalaturnyk
University of Alberta, Canada

Looking Beyond Flow in DFN’s for Caprock Integrity Assessments - Deformation Matters!

Martin Huang
Imperial Oil Ltd., Canada

Fluvial Point Bar Modeling with MPS - Modern Analog Training Images and Application to the Kearl Oil Sands Mine, Alberta, CA

Alex Boucher
Advanced Resources and 
Risk Technology, LLC, USA

Geostatistics on the Cloud: workflows, strategies and solutions

Session 5: Modeling uncertainty: what is next?

Session Chairs: Claude Scheepens, Emmanuel Gringarten

Arne Skorstad
Emerson/Roxar, Norway

Uncertainty modeling – from sequential silos to
integrated approaches

Yann Dexcote
Shell E&P, USA

 The business case of carrying multiple interpretations through iterative workflow across disciplines in the brownfield space: an example from a Deepwater field

 Claude Scheepens
ConocoPhillips, USA

Lessons learned from dynamic ranking of 3D geological models

Céline Scheidt
Stanford University, USA

Bayesian Evidential learning: Reformulating the prediction problem

Sarah Vitel
Chevron, USA

Updating probabilistic forecasts with new data without updating reservoir models

Jef Caers
Stanford University, USA

Quantifying structural uncertainty using level sets with stochastic motions

Emmanuel Gringarten
Emerson Automation 
Solutions, USA

The role of geomodelling in a transforming world: thoughts and observations



Rhonika Kaplan
Chevron, USA

Have you validated your static model with seismic lately?

Thomas G. M. Jerome
GMDK, Canada

Closing the Gap… by codifying what efficient team work should be in geomodeling projects

 David Garner
Geovariances Partner

 Proper Systemic Knowledge of Reservoir Volume Uncertainties in Depth Conversion

Sasan Ghanbari
Emerson/Roxar, Canada

Model Driven Interpretations

Luke C. Johnson
Cognitive Geology, Scotland

De-standardizing Variograms

Mahshid Babakhani
Alberta Energy Regulator, Canada

Uncertainty Analysis in Geological Surface Modelling (Duvernay and Leduc Formation Case Studies)

Dimitri D'or
Ephesia Consult, Belgium

Improved non-stationary Pluri - Gaussian Simulation

Daniel Otoo
University of Manchester, UK

Applying forward stratigraphic modeling approach to enhance facies characterization and fluid mobility prediction in  geological models of basin floor fans

Sochi Iwuoha
University of Calgary, Canada

Pore-scale variability and fluid distributions in 
Montney Formation: New insights from three-dimensional reservoir characterization and modeling

 Ogunfolabo Taofeek Agboola

Facies Modelling and Petrophysical Analysis of Olawah Field, Niger Delta Basin, Nigeria

Renjun Wen
Geomodeling Technology Corp., Canada 

 Multi-Scale Permeability Modeling and Upscaling Workflow Integrating Core, Well Log, Seismic Attributes and Geologic Models

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