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GeoConvention 2021

September 13 - 15, 2021
Virtual Event


Dear Fellow Geoscientists, 

I would like to personally welcome everyone to this year’s Virtual GeoConvention and to the Emerson virtual booth.  It is an honor for me to be back and involved in the GG&E software space. I am really looking forward to re-connecting with old friends and customers as well as meeting new clients.

Emerson continues to build upon its 30+ years of delivering exceptional solutions that can be applied to your assets through flexible software licenses and services. Emerson Canada is focused on the Canadian market and looking to the Geoconvention to launch new Canada-centric software bundles and workflows. We are excited about these new offerings and hope you can join us at our virtual booth to discuss them.

Our presentations listed below are categorized by asset challenge.  All presentations are available on demand. 

The Canada team and I look forward to your participation in our program and the Geoconvention.

Mark Tobin
General Manager, Canada

Your Team in Canada 


Mark Tobin
General Manager -

Dennis Ellison
Principal Consultant - Interpretation

Sasan Ghanbari
Team Lead -

Patrick Stirling
Principal Consultant 
FE & Drilling

Akshay Gulati
Cloud Infrastructure Engineer


Heavy Oil

Saving Costs in Heavy Oil and Unconventional Fields; Facies Modeling and SAGD Volume Calculation Using RMS  
Presenter: Sasan Ghanbari
Technology:  RMS™/Tempest

Abstract: This presentation aims at helping users understand how facies modeling and SAGD volume calculations help major and independent oil operators reduce costs by optimizing pads and well placements, to ensure the best production results. This involves incorporating all data types and identifying geological trends that impact the rock property distribution in the model. You will learn how RMS helps to identify sufficient quality and thickness for the SAGD process to be both effective and economical, with an understanding of risk and uncertainty.

The Big Loop: A Collaborative Approach to Calibrating and Maintaining Evergreen Subsurface Models for Reliable Development Planning and Production Forecasting
Presenter: Sasan Ghanbari
Technology:  Big Loop

Abstract: See how Tempest ENABLE, Emerson’s machine-learning based technology for assisted history matching, can help ease the time-consuming history matching process and help identify multiple calibrated models critical for reliable production forecasts. A detailed, step-by-step assisted history matching and ensemble-based prediction workflow will be explained.

Conventional Plays

Introducing SeisEarth Essentials Powered by Emerson
Presenter: Dennis Ellison
Technology: SeisEarth

Abstract: Emerson Canada is pleased to introduce an affordable new package exclusive to the Canadian market that focuses on seismic interpretation fundamentals such as mapping, synthetics, and robust velocity modeling. The package also includes the gold standard of geoscience 3D visualization. SeisEarth Essentials provides an easy-to-use interface and powerful workflows that drive efficient results without compromising the science. SeisEarth Essentials is advancing geoscience for everyone.

Unconventional Plays

Unleash the Potential of Your Microseismic Data with SKUA-GOCAD
Presenter: Sasan Ghanbari
Technology:  SKUA-GOCAD

Abstract:  Microseismic is a costly data source that is typically not leveraged as much as it could be. In this session, you will see how SKUA-GOCAD can help you deep dive into your microseismic data, and QC, validate and analyze them. You will learn how to create compelling visualization products and data tables that can be used as input to feed predictive models and correlate fracture parameters with historical production data.

Automate Data QC using Dashboards in Geolog for Unconventional Plays
Presenter: Akshay Gulati
Technology: Geolog

Abstract:  Most E&P companies use commercial software packages to manage their well databases. As the number of wells increases in the database, it becomes increasingly critical to have tools that enable users to efficiently visualize and QC the data. In Geolog, we offer a way to integrate Altair, an open source application within the Python visualization library, to enable users to interactively QC petrophysical data from large well databases. With Altair’s ease of access and visualization, users can design and implement workflows earlier in a project’s lifecycle, facilitating greater productivity and efficiency, reducing time to generating meaningful results. After ensuring the quality and availability of our data, we will use Altair in an analytical framework to seek meaningful relationships and identify any interdependence between the log data.

Integrated Petrophysical Interpretation to Unlock Unconventional Reservoirs
Presenter: Kim McLean
Technology: Geolog

Abstract: Shale reservoirs are heterogeneous by nature, with facies that differ in mineralogy and geomechanical properties. We will evaluate the mineralogy and geomechanical properties of a pilot well, and use the resulting logs as part of a machine learning workflow to identify sweet spot facies in terms of original oil in place, mineralogy and mechanical properties. This information is used to determine the optimal well path that leads to better placement within the reservoir sweet spot.

Quantify Uncertainty throughout Formation Evaluation Workflows
Presenter: Kim McLean
Technology: Geolog

Abstract: Petrophysical analysis and formation evaluation provide vital input to most geoscience workflows. Key information regarding shale volume, porosity, saturation and permeability and mineral volumes, together with the identification of fluid contacts and free water level, all guide and aid subsequent modeling and reservoir simulation. The ability to provide a level of uncertainty around these various petrophysical inputs increases confidence in reserves estimation and producibility, enabling better, more informed economic decisions. Geolog allows Monte Carlo uncertainty to be performed in a wide variety of petrophysical workflows, producing a customizable uncertainty range with each output: Whether running environmental corrections, performing deterministic or optimized petrophysical analysis, verifying an oil water contact, or simply running a user-created algorithm.

Emerson Papers in the Geoconvention Technical Program

Predictive Analytics for Full Pore System Characterization of an Arab D Carbonate Reservoir - by Akshay Gulati  Emerson
Session:  Machine Learning in Geoscience/Petrophysics
Date and time:  September 13, 3:45 - 4:10 PM

Seismic Analysis of Well Data - Minimizing Uncertainties from Seismic Interpretation to Reservoir Characterization - by Dennis Ellison, Emerson
Session:  Back to the Basics: Geophysics
Date and time:  September 14, 1:50 - 2:15 PM

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