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Meet The Senior Decisions Makers With Job Titles Including:

VPs, COOs, CTOs, Directors, Managers, Engineers, Leads, Specialists, Coordinators, Analysts, Foremans, Superintendents, Advisors, Scientists in...

  • Automation 
  • Engineering
  • Production
  • Optimization
  • I&E
  • Instrumentation
  • Controls
  • Operations
  • Systems
  • Measurement
  • (Advanced) Analytics
  • Data
  • Infrastructure & Platforms
  • IT
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  • Reservoir


  • Reliability Engineers
  • Design Engineers
  • Asset Managers
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Meet Leading Technology & Services Providers In:

  • IoT & Edge Computing
  • Remote Monitoring Without Infrastructure
  • Real-Time Machine Learning Model Deployment
  • Autonomous Rod Pumping & ESP
  • Cybersecurity
  • Cloud-Computing
  • Smart Cameras
  • VR & Augmented Reality
  • Drones
  • Automating Manual Processes
  • Audio Analytics
  • Power Consumption Monitoring
  • Well Performance Diagnostics
  • Cost-Effective Well-Site Communications
  • AI Applications
  • Data Analytics
  • Field Communications
  • Data Analytic Dashboards
  • Condition Monitoring
  • Automating Controls

Agenda Conference Day 2: Wednesday, January 27, 2021


08:30 Virtual Event Platform Opens. Login & familiarize yourself with the platform features and introduce yourself to other participants.

08:50 Chair's Opening Remarks

Remote Monitoring Technologies

Predictive Maintenance Technologies & Solutions For Remote Site Monitoring

The capabilities of remote monitoring technologies continue to evolve and offer up new ways for operators to protect their assets. But in which technologies should operators be prioritizing their remote monitoring spend? What are those essential technologies that will deliver the best value for money?


09:00 Evaluating The Capabilities Of Remote Monitoring Technologies & The Data Costs Associated With Integrating Them Into Well Management Platforms

In this keynote opening panel, two automation specialists will deliver a 15-minute case study each on the remote monitoring technologies that are delivering the greatest cost-benefits for operators. What are the implementation success stories and how were they achieved?

1. Assessing Remote Monitoring Technologies For Their Ability To Detect & Reduce Fugitive Emissions & Prevent Failures

  • What technologies are available to detect & reduce fugitive emissions and how effective are they once implemented?
  • What are the associated reductions in manpower required to monitor for spills and leaks?
  • What are the costs associated with maintaining these technologies and how does that impact overall maintenance spend?
  • What are the technologies available to detect failing equipment and how can they be implemented into existing predictive maintenance platforms?

Syed Ali, IIOT & Automation Specialist, Chevron

2. Evaluating Remote Monitoring Technologies For Their Data Costs & Pressures Placed On Network Infrastructure

  • Which technologies are the most cost-effective when it comes to offsetting data demands placed on network infrastructures?
  • What are the technologies which allow operators to reduce the demands on networks?
  • What were the impacts on data demands when the implementation of remote monitoring technologies was scaled up and how were these mitigated?
  • How were any increases in data costs offset by maintenance and manpower savings? How was that balance achieved?

09:40 Conference Discussion & Feedback Session

An opportunity for delegates to question speakers and feedback to conference on how they have addressed the challenges raised in the opening panel. What are the results they are seeing?


09:50 Discover The Smart Camera Technologies That Utilize Artificial Intelligence To Accurately Detect Issues You Need To Respond To & Reduce Site Visits

What are the smart camera solutions available and how can they be utilized to monitor well site security and watch for fugitive emissions? We explore the options available and their associated costs.

  • What are the capabilities of smart cameras and combination cameras? How accurate are they at detecting leaks?
  • How can they be deployed cost-effectively at scale?
  • What are their analytic capabilities? How effective are they at alerting operators when maintenance is required?
  • How can they be incorporated into existing remote monitoring programs and how data intensive are they when operating?
  • What are the smart camera options available to operators who do not have a pre-existing remote monitoring infrastructure?

Mark Smith, CMO / CTO, Clean Connect AI

10:15 Virtual Question & Answer Session


10:25 Investigate The Cost-Benefit Of Expanding Your Remote Monitoring & Predictive Maintenance Options With Drone Technology To Reduce Liability & Safety Risk And Detect & Reduce Fugitive Emissions

Recent developments in drone technology offer operators new visual spectrum technologies to detect methane emissions & fugitive leaks. We investigate the cost-benefits of Drones in the following case study.

  • With what degree of accuracy can drones pinpoint leaks?
  • What are the insights provided by drone technology and what are the analytic tools available on them?
  • What are the cost-benefits of utilizing drone technology when weighed against other possible leak detection technologies?

Craig R. O'Neill, Director of Strategic Business Development, FLIR Systems

10:55 Virtual Question & Answer Session

11:00 Morning Refreshment Break

>> New Technology Showcase & Interview <<

During the refreshment break, we give delegates the opportunity to hear from and question some of the leading vendors and services providers on some of the new technologies and applications being developed to solve some of the industry's most pressing automation challenges.


11:35 Investigate The Audio Analytic Technologies That Remotely Monitor Equipment To Predict & Prevent Mechanical Failure

Audio analytic remote monitoring technologies allow operators to detect when equipment may be beginning to fail. But how accurate are they technologies?

  • On what equipment can operators utilize audio analytics to detect and prevent failures?
  • How does the technology function and in what ways can it analyze audio data to communicate potential issues to operators?
  • How can audio analytic technology triangulate sound patterns to accurately pinpoint where failures are likely to occur?
  • What are the other benefits associated with the technology? Can it be utilized to detect and notify operators of leaks?
  • What demands does audio analytic technology place on network infrastructure? How can these be mitigated?

12:00 Virtual Question & Answer Session


12:10 How To Cost-Effectively Monitor Tank Levels & Line Pressures With Mobile & Reusable Automation Technologies To Assess Well Performance

Automating at scale can often be seen as cost-prohibitive. What are the reusable remote monitoring solutions that allow operators the flexibility to move and reuse automation applications?

  • What are the mobile and reusable applications for monitoring and analysing the performance of wells?
  • What are the optimal strategies available for utilizing mobile automation devices effectively? How should they be deployed?
  • What are the specific applications available for monitoring tank levels and line pressures? How cost-effective are they?
  • How can you balance mobile automation applications with more permanent fixtures? How should you prioritize this spend?

Sandro Esposito,VP Sales & Marketing, SignalFire

12:35 Virtual Question & Answer Session

12:45 Lunch Break

>> New Technology Showcase & Interview <<

During the lunch break, we give delegates the opportunity to hear from and question some of the leading vendors and services providers on some of the new technologies and applications being developed to solve some of the industry's most pressing automation challenges.

Breakout Interactive Classrooms

Benchmarking Success In The Practical Application Of Well Site Automation

Running parallel to this afternoon's remaining sessions, these Breakout Interactive Classrooms  will offer delegates the opportunity to benchmark best practice in key areas of well site automation with fellow delegates. A maximum of 15 delegates in each will lead a fluid, dynamic conversation about the chosen topic, sharing actual results and solutions, with viewing delegates being able to put forward questions for discussion and offer up solutions themselves. What's working? What are the results? How do you deliver those results?

Classroom #1

New & Affordable Remote Monitoring Technologies

Duration: 13:55 - 15:25

  • Benchmark the implementation of new & affordable automation technologies.
  • How can you go about improving existing technologies and getting more from them?
  • In what areas are your peers investing and what results are they seeing?
  • What are the key challenges new & emerging technologies are overcoming?

Real-Time Application Of Edge Computing & Machine Learning

How To Get Machine Learning Models On The Edge Computing in Real-Time

With machine learning algorithms becoming more advanced, what are the new ways in which operators can utilize these and what are the potential benefits? How can they be combined with IoT & Edge devices to provide real- time information, solve problems and enhance predictive maintenance systems.


13:45 Evaluate The Productions Operations Applications Which Apply Real-Time Edge Computing & Machine Learning To Automate Processes & Increase Production Value - How Can We Combine Machine Learning With Edge Computing?

The objective of the following panel is to explore the scope of current machine-learning applications and their strategic potential in optimizing production and protecting assets. How can operators capitalise on the promise of machine-learning technology?

  • What are the IoT & Edge devices where machine-learning algorithms can be applied and for what purpose?
  • Where do operators stand to see the greatest benefit in applying these algorithms?
  • How can operators take machine-learning models and deploy them on Edge & IoT devices in real-time?
  • How have machine-learning models developed and how have they increased production and mitigated failures?
  • How can predictive maintenance models improve productivity and allow for real-time analysis of tank levels and volumes?

Hoss Belyadi, Senior Data Scientist / Engineer, Vine Oil & Gas

Lucas Green, Operations Technology Director, Maverick Natural Resources

14:10 Extended Virtual Question & Answer Session


14:20 How To Incorporate AI & Machine Learning Into Your Workover Program To Detect What Failures Are Going To Occur & Prevent Them From Happening

Reducing intervention to save on manpower and maintenance spend is a priority when there exists pressure on maintenance budgets. In this session we look at how AI & Machine-Learning is being utilized to accurately model for failures and prevent them.

  • In what areas can AI & machine learning create preventive maintenance models and how can operators utilize these?
  • What data does the AI utilize in order to create the models?
  • How accurate are these models and how accurately can they forecast exactly when preventative action needs to be taken?
  • What insights did these models provide into the effectiveness of maintenance spend and operations? How were these insights acted upon to drive down operational expenditure?
  • How can these models incorporate weather and environmental data to accurately model for asset integrity risks?

Hoss Belyadi, Senior Data Scientist / Engineer, Vine Oil & Gas

14:45 Extended Virtual Question & Answer Session

14:55 Afternoon Refreshment Break

>> New Technology Showcase & Interview <<

During the refreshment break, we give delegates the opportunity to hear from and question some of the leading vendors and services providers on some of the new technologies and applications being developed to solve some of the industry's most pressing automation challenges.

15:25 Classroom #1 Feedback Session

>> New & Affordable Remote Monitoring Technologies  <<

The purpose of this session is to feedback to conference the results discussed in our earlier classroom. What are the challenges? What's working? What are the results? How do you deliver those results?

Roundtable #2

Utilize Machine-Learning To Improve Automation Efficiency

Duration: 15:35 - 17:25

  • How are operators leveraging machine-learning and for what purposes?
  • Practical applications of real-time machine- learning deployment models.
  • In what areas are operators applying AI and data analytics? Where are they seeing results?
  • How are operators combining machine-learning models with IoT & Edge devices?


15:40 Cost-Effective IoT & Edge Technologies To Run Real-Time Data Analytics - How Do You Figure Which Is The Best Set Of Application To Run In The Field?

The exponential increase in applications to run in the field begs the question: which applications are the most beneficial from a cost-benefits perspective?

  • What are the machine-learning applications and field devices that are delivering the greatest cost-benefits to operators?
  • What is the ideal selection criteria by which to choose field devices to invest in?
  • What kind of data analytics are these devices running? Is it running predominantly in the cloud or in the field?
  • How do you manage the cost of upgrading these applications? What is the most cost-effective approach to doing so?
  • How can you incorporate these devices into existing programs?

David Benham, Senior Data ScientistLaredo Petroleum

16:05 Virtual Question & Answer Session


16:15 Discover the Latest IoT & Edge Devices For Pump-Off Controllers To Utilize Real- Time Information To Prevent Spills & Save On Manpower

Real-time analytics converts data into information. How can you get real-time information on your pump off controllers to save on manpower and money and optimize future decisions?

  • How can machine-learning combine with IoT & Edge devices to optimize the decision-making framework around pump-off controllers?
  • How frequently can the models be updated and how is this information practically applied in order to make changes?
  • What manpower is required to operate and utilize these systems?
  • Does the capability exist to get more remote control on pump-off controllers and if so, how much?

Nathan ChurchMachine Learning EngineerChevron

16:40 Virtual Question & Answer Session


16:50 Power Consumption Monitoring Applications To Detect Inefficiencies In The Motor & Reduce Both Power Consumption & Processing Costs

Motor failures are one of the leading causes of failures. How can running data analytics on power consumption detect inefficiencies in motors and notify operators of potential failures before they occur?

  • What are the technologies available for monitoring power consumption?
  • What specifically can these technologies tell you about the health and mechanical status of your motors?
  • How can these technologies assist operators in making judgements about how fast to run motors?
  • What are the tools available to make a cost-benefits analysis of when to risk run motors faster in order get more product?
  • How effective have these technologies been in preventing failures?

Jake Balderamma, Operations Lead, Guidon Energy

17:15 Virtual Question & Answer Session

17:25 Classroom #2 Feedback Session

>> Utilize Machine-Learning To Improve Automation Efficiency <<

The purpose of this session is to feedback to conference the results discussed in our earlier classroom. What are the challenges? What's working? What are the results? How do you deliver those results?

17:45 Chair's Closing Remarks & End Of Day Two


Discover Real-World Automation Implementation Success Stories


  • IoT & Edge Devices To Cost-Effectively Monitor Wells
  • Automation Applications To Run A Facility Unmanned
  • Strategies For Ensuring Secure & Reliable Communications
  • IoT & Edge Computing For Real-Time Diagnostics
  • IoT & Edge Applications For Pumps & Compressors
  • Dashboards That Utilize Truly Automated Analytics 
  • New Technologies For Automating Field Devices
  • Cost-Effective Equipment Sensors To Predict Failures
  • Automation Solutions For Pigging, Sense Separators, H2S
  • Automation Solutions For Rod Pump, Gas Lift & ESP


  • Remote Monitoring To Detect & Reduce Fugitive Emissions
  • Remote Monitoring Technologies Without Infrastructure
  • Smart Camera Technologies That Accurately Detect Leaks
  • VR & Drones For Emission Reduction
  • Audio Analytics To Prevent Mechanical Failure
  • Real-Time Application Of Machine Learning
  • AI & Machine Learning For Workover Programs
  • IoT & Edge Technologies To Run Real-Time Data Analytics
  • The Latest IoT & Edge Devices For Pump-Off Controllers
  • Power Consumption Monitoring Applications


  • Evaluating IoT & Edge Demands On Infrastructure
  • Network Infrastructures To Stream Large Amounts Of Data
  • 5G Alternatives In Rural Areas & Cloud-Based SCADA Systems
  • Applications  For Streaming Large Amounts Of Data
  • Security & Accessibility Of Data In Cloud Based Systems
  • Reliable & Safe Field Communications
  • Addressing Remote Location Security Vulnerabilities
  • Increasing The Accessibility Of Data For Field Personnel
  • Managing Remote Device & Field Upgrades


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