Get Involved With The Event

Sponsorship & Exhibition Opportunities Are Limited

Contact us on to reserve an exhibition booth and/or discuss how you can present a white paper case study, in one of these areas

  • IoT Technology
  • Industrial IoT Solutions for Oil & Gas
  • Digital Transformation Solutions
  • Digital Oilfield Technology
  • Cloud Platforms
  • Machine Learning Technologies & Applications
  • Machine Learning Training Services
  • Cloud-Based Machine Learning Software
  • Workflow Management Solutions
  • Plug-and-Play Platform
  • AI Software for Oil & Gas
  • AI Technology for  Oil & Gas
  • Augmented Reality (AR) Applications
  • Data Science & Analytics
  • Predictive Analytics
  • Data Extraction
  • Data Protection
  • Network Security
  • Communications Management
  • Edge Devices/Gateways

Meet, Network With & Learn From Senior Business Decision Makers & Technical Infleuncers

Including CEOs, VPs, Heads, Directors, Managers, Team Leads, Chiefs, Managers, Supervisors, Engineers, Scientists, Administrators, Architects of...

  • Data
  • IT
  • IoT
  • Machine Learning
  • Innovation
  • Technology
  • Automation
  • Research & Development
  • Digital Transformation
  • Business Solutions
  • Operational Excellence
  • Corporate Development
  • Plus Technical Titles Including:
  • Production
  • Operations
  • Drilling
  • Completions
  • Exploration
  • Reservoir


In 2010, we launched our first American unconventional oil & gas conference. And three years ago in 2015, we launched the Well Site Automation Congress, which has to date brought together over 1000 automation, SCADA and I&E experts to examine detailed technical solutions for selecting and optimizing SCADA systems, remote communications, RTUs, PLCs, flow measurement, safety shutdown systems and artificial lift automation to create cost-effective well site automation strategies specific to unconventional oil & gas operations.


Encana Corporation, Obsidian Energy, Concho, NAL Resources, Devon Energy, Whiting Petroleum, Discovery Natural Resources, William, Danbury Resources, Enerplus, ExxonMobil/XTO Energy, Marathon Oil, Enervest, Sanchez Oil & Gas, Apache Corporation, EXCO Resources, Proline Energy Resources, Alta Mesa Holdings, Anadarko Petroleum, OXY, EP Energy, Statoil, Chevron, BP, PetroSantander, Aethon Energy Operating, Windy Cove Energy

Due to the overwhelming success of this event and requests from attendees, American Business Conferences has developed the inaugural Machine Learning & AI Upstream Onshore Oil & Gas 2018 Congress - focusing on understanding profitable applications of AI to optimize well production & operational efficiencies.


Produced Water Management Initiative Rockies 2017

Denver, Colorado

October 12 - 13

Facilities Design, Onshore 2017

Houston, Texas

September 26 - 28

Horizontal Drilling Technology Permian Basin 2017

Midland Texas

July 26-27

Production Chemicals Optimization 2017

Houston, Texas

July 27-29

New Technology For In Situ Oil Sands Facility 2017

Calgary, Canada

May 30-31

Cost Effective Produced Water Management Marcellus & Utica 2017

Pittsburgh, Pennsylvania

March 29-30

Well Site Automation 2017

Houston, Texas

January 30-31

Agenda At A Glance

Machine Learning & AI Upstream Onshore Oil & Gas 2018

  • Establishing The Business Case For Machine Learning & AI : Demonstrating ROI and understanding 'What's possible' with AI in upstream oil & gas operations
  • Where Does Machine Learning Provide The Greatest Value? Know where the real opportunities exist to focus your attention and investment on bigger opportunities first
  • Deep-Dive Into What Has Been Accomplished Using Machine Learning : Best-in-class strategies for implementing operational Artificial Intelligence and Machine Learning in day-to-day operations
  • Optimize Production Performance & Efficiency : Use Cases to improve well productivity, optimize artificial lift cycle-time, detect anomalies on artificial lift equipment and optimize chemical usage
  • Predict Equipment Failure : Learn how to predict and eliminate equipment failure ahead of time using Machine Learning
  • Improve Equipment Reliability : Know exactly when to perform maintenance and on which equipment using Machine Learning models
  • Optimize Internal Workflows : Leverage artificial intelligence as a mechanism for internal workflow management
  • Embrace How To Collect, Use & Profit From Data : Overcome the full horizon of data science challenges, including Data Quality, Mixing, High-Grading, Transfer, Connectivity, Ownership, Security and Storage
  • Real-Time Drilling Optimization Using AI : Optimize decisions on Drill Bit Trajectory, Geosteering & Lateral Length Using AI tools
  • Optimize Well Design & Completions Using Machine Learning : Assess the value of data science to optimize well design and improve completions decisions
  • Solve Exploration & Reservoir Challenges : Learn how intelligent software systems can support exploration, reservoir development and seismicity management decisions
  • Change Management' & 'Skills Transformation' : Best practices for achieving employee buy-in, training internal staff and managing trust issues
  • Advanced Application Of Machine Learning Case Studies : Assess the true power of Machine Learning to increase operational efficiency
  • Cost-Effective Machine Learning Technologies : Assess functionalities and limitations of systems t hat are capable of Machine Learning

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