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Presenter
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Presentation Title
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David Garner
TerraMod Consulting, Canada
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Introduction to Closing the Gap III
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Session 1: Reservoir Management
and Decision Making
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Session Chairs: Clayton Deutsch, Colin Daly
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Clayton Deutsch
University of Alberta, Canada
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Actionable Research in Petroleum Geostatistics
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Jo Eidsvik
NTNU, Gløshaugen, Norway
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Value of information of time-lapse seismic data
for infill drilling decisions
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Guillaume Caumon
Université de Lorraine, France
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Associating subsurface data with geological rules: on
some new methods to address structural, stratigraphic
and sedimentological uncertainties
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Enrique Gallardo
Ecopetrol, Colombia
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Approximate Physics Discrete Simulation of the Steam-Chamber: A tool to embrace Geological Uncertainty in SAGD Reservoir Management
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Pippa Murphy
Velvet Energy Ltd., Canada
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The importance of a fully integrated geomodel in
the simulation of hydraulic fracture geometries,
an example from the Montney at Gold Creek
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Colin Daly
Schlumberger, U.K.
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Advantages of integrating machine
learning into property modelling
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Session 2: Integrating Geology
in Geomodeling
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Session Chairs: Petter Abrahamsen, Helena van der Vegt, Lisa Stright
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Ingrid Aarnes
Norwegian Computing
Centre, Norway
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Traversing the gap from sedimentary process
models to facies modeling
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Helena van der Vegt
Delft University of
Technology, The Netherlands
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From depositional processes to connected geo-bodies
using process-based modelling
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Lisa Stright
Colorado State University, USA
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The impact of bed- to geobody-architecture on
subsurface reservoir modeling: Testing hypotheses based on deep-water channel outcrops
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Samuel M. Hudson
Brigham Young University, USA
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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
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Jaime Vargas
Chevron, USA
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Vaca Muerta Facies Modeling: Application of 3D Seismic Impedance and Sequential Indicator Simulation for Reservoir Prediction in an Unconventional Setting
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John Nieto
Canbriam Energy Inc., Canada
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Geomodelling as a tool for optimizing completions
in the Montney Formation
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Olena Babak
Cenovus Energy Inc., Canada
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Uncovering potential of seismic for reservoir
characterization in Canadian oil sands
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Session 3: Multi-scale Data and
Multi-variate Modeling in Practice
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Session Chairs: Sanjay Srinivasan, J. Jaime Gómez-Hernández
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Sanjay Srinivasan
Penn State University, USA
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From Face Detection to Fractured Reservoir Characterization: Big Data Analytics for Re-Stimulation Candidate Selection
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Dario Grana
University of Wyoming, USA
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Bayesian inversion of seismic, electromagnetic, and production data for rock and fluid property prediction
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Vasily Demyanov
Heriot-Watt University, Scotland
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Multi-scale hierarchical uncertainty quantification
through history matching
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J. Jaime Gómez-Hernández
Universtat Politècncia
de València, Spain
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Ensemble filters vs. ensemble smoothers vs. musical ensembles
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Benham Jafarpour
University of South Carolina, USA
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Conditioning Facies Simulation from Training-Images on Flow Data
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Steve Lyster
Alberta Energy Regulator, Canada
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Large-Scale Unconventional Resource Modelling: 3D
Modelling vs. 2D Mapping
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Vitaly Khoriakov
Halliburton Landmark, Canada
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Petroleum Reservoir Characterization with Machine
Learning and Geostatistics
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Session 4: Challenging
Properties, Workflows and Case Histories
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Session Chairs: Michael Pyrcz, Mohan Srivastava, Matthew Casey
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Amilcar Soares
Instituto Superior Téchnico, Portugal
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Integration of seismic reflection and production data in a geostatistical history matching procedure.
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Dimitri D'or
Ephesia Consult, Belgium
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Opening new horizons in petroleum geostatistics: the SPDE approach
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Michael Pyrcz
University of Texas, USA
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New Geostatistical Workflows for Modeling Uncertainty for Unconventionals
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Richard Chalaturnyk
University of Alberta, Canada
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Looking Beyond Flow in DFN’s for Caprock Integrity Assessments - Deformation Matters!
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Martin Huang
Imperial Oil Ltd., Canada
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Fluvial Point Bar Modeling with MPS - Modern Analog Training Images and Application to the Kearl Oil Sands Mine, Alberta, CA
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Alex Boucher
Advanced Resources and
Risk Technology, LLC, USA
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Geostatistics on the Cloud: workflows, strategies and solutions
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Session 5: Modeling uncertainty:
what is next?
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Session Chairs: Claude Scheepens, Emmanuel Gringarten
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Arne Skorstad
Emerson/Roxar, Norway
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Uncertainty modeling – from sequential silos to
integrated approaches
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Yann Dexcote
Shell E&P, USA
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The business case of carrying multiple interpretations through iterative workflow across disciplines in the brownfield space: an example from a Deepwater field
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Claude Scheepens
ConocoPhillips, USA
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Lessons learned from dynamic ranking of 3D geological models
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Céline Scheidt
Stanford University, USA
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Bayesian Evidential learning: Reformulating the prediction problem
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Sarah Vitel
Chevron, USA
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Updating probabilistic forecasts with new data without updating reservoir models
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Jef Caers
Stanford University, USA
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Quantifying structural uncertainty using level sets with stochastic motions
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Emmanuel Gringarten
Emerson Automation
Solutions, USA
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The role of geomodelling in a transforming world: thoughts and
observations
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