MathWorks Energy Symposium 2023

Overview

MathWorks^® collaborates with global leaders to solve some of the most critical challenges facing the energy industry. The MathWorks Energy Symposium provides an opportunity for energy companies, service providers, and researchers to showcase and discuss state-of-the-art innovations using MATLAB^® and Simulink^® across upstream, midstream, and downstream.

The 2023 MathWorks Energy Symposium features keynote speeches, technical presentations, technology demonstrations, and workshops in the areas of advanced data analytics and AI, digital twin modeling, simulation and deployment for operation optimization and predictive maintenance, and much more.

This event is free! Please register and join us in Houston on October 11^th to see the latest innovations and network with other colleagues from the oil and gas industry. The event is taking place at the Houston Marriott Westchase (2900 Briarpark Drive, Houston, TX).

Agenda

Start Time	End Time	Presentation Track	Workshop Track
8:30 AM	9:00 AM	Registration and breakfast
9:00 AM	9:10 AM	Welcome and introduction
9:10 AM	9:40 AM	Keynote Presentation: Driving Energy Innovation for a Balanced Planet Luc Argentier, SLB
9:40 am	10:10 AM	Geomechanical Modeling for Subsurface Fracture Characterization Dr. Seth Busetti, Aramco Americas	Industrial Control Design Using Simulink Mahaveer Satra, Sr. Application Engineer, MathWorks
10:10 AM	10:30 AM	Coffee break
10:30 AM	11:00 AM	Borehole Modeling and Distributed Acoustic Sensor (DAS) Data Analysis Using ExploreDAS in MATLAB Dr. Mark Willis, Halliburton
11:00 AM	11:30 AM	Deploying Models and Algorithms to the Asset, Edge & Cloud Mil Shastri, MathWorks
11:30 AM	1:00 PM	Lunch break Technology Demonstrations
1:00 PM	1:30 PM	Keynote Presentation: Enterprise Engineering Platform for AI and Key Applications Paul Pilotte, MathWorks, Head of Data Science and AI
1:30 PM	2:00 PM	Drilling Rig Digital Twin Modeling Using Simscape & Simulink Dr. Jonathan LeSage, MathWorks	Geoscience-guided Machine Learning for Reservoir Characterization in MATLAB Dr. Ayon Dey, Sr. Application Engineer, MathWorks
2:00 PM	2:30 PM	Coffee break
2:30 PM	3:00 PM	MATLAB Seismic Reservoir Modeling (SeReM) Toolbox Prof. Dario Grana, University of Wyoming
3:00 PM	3:30 PM	Geothermal Modeling with Machine Learning and MATLAB Reservoir Simulation Toolbox (MRST) Prof. Mayank Tyagi, Louisiana State University
3:30 PM	4:30 PM	Open Q&A session, raffle drawing, drinks and networking

Registration

Please register for one or more of the topics below:

Time	Topic

8:30 AM - 4:30 PM CDT

Presentation Track
(Please register if you plan on attending any portion of the presentation agenda)

9:40 - 11:30 AM CDT

Workshop: Industrial Control Design Using Simulink

1:30 - 3:30 PM CDT

Workshop: Geoscience-guided Machine Learning for Reservoir Characterization in MATLAB

Technology Demonstrations

Geosciences

Thin-section Minerology and Porosity Characterization with MATLAB: Leverage the deep learning capabilities of MATLAB to semi-automate classification of minerals and porosity observed in integrated thin-section microscopy image from core data.

Advanced Cross-plot Analysis with MATLAB: Leverage the machine learning and visualization capabilities of MATLAB to apply clustering, decision boundaries, and geologically meaningful color index to geoscience cross-plots for greater knowledge extraction from data.

Seismic Facies Classification with MATLAB – Leverage the deep learning capabilities of MATLAB to classify seismic data according to geological facies.

Reservoir & Petroleum Engineering

Production Data Analysis with MATLAB: Import and pre-process oil and gas production data from unstructured comma-separated value (CSV) files and perform decline curve analysis to forecast production and understand long-term economic viability of a well.

Reservoir Simulation with MATLAB and MRST: Create reservoir simulation models using the same MATLAB syntax you are used to. Import pre-built models from PETREL/ECLIPSE using the MRST/ECLIPSE interface. Analyze simulation results with MATLAB’s powerful graphics engine.

Subsurface Carbon Storage with MATLAB and MRST: Leverage MATLAB's powerful data analytics capabilities and MRST’s proven, efficient reservoir simulation framework to assess short and long-term effects of geological CO2 injection.

Drilling & Production Engineering

Drawworks Digital Twin: Test auto-drilling control logic using a digital twin of a drawworks hoisting system to prevent crownout scenarios and perform hardware-in-the-loop (HIL) testing of PLC controls

Triplex Pump: An industry case study of a dynamic model of a triplex pump for fracking applications that is used for detecting and diagnosing pump faults.

Managed Pressure Drilling (MPD): Using Simscape Fluids, non-Newtonian drilling mud is modeled for MPD applications, including downhole pressure estimator design and testing.

Drill String Simulation: Visualize drilling dynamics with a Simulink drill string model that allows for stick-slip and vibration dynamic studies.

Subsea Electrical Modeling: Simscape Electrical can be used to model subsea electrical distribution systems to study dynamic fault events, including the Ferranti effect.

Wellbore Model: This demo demonstrates the use of object-oriented programming in MATLAB for vapor-liquid equilibria calculations combine with MATLAB's powerful built-in ODE solvers to calculate pressure and temperature profiles for multiphase flow in vertical wells.

Event Series