Shauna G. Noonan, ConocoPhillips Co
The session features invited speakers who have previously presented and published great papers at industry events outside of North America. The topics of these papers are applicable to North American applications and the authors were invited to repeat their presentations for our ALCE-NA attendees.
Invited Presenter -
Geared Centrifugal PumpTechnology Implementation as a Potential Alternative Artificial Lift Method - Oil Wells
Invited Presenter -
Artificial Lift Performance Enhancements by Applying Root Cause Failure Analysis
Julian Cudmore, Zenith Oilfield Technology Ltd
As artificial lift in North American moves into more challenging and higher producing applications, downhole monitoring is becoming a more valuable asset to assist in enhancing production and reduce net lifting costs. Downhole gauges provide constructive data to assess both reservoir and lift performance and when used proactively can reduce downtime, prevent failures, and provide information to improve operations and therefore production. Traditionally down hole gauges have had the reputation of being non-essential jewelry, but with today’s reliable gauge technology is this still a valid argument when the benefits can be justified? This panel will discuss the improvements to downhole monitoring technology, look at the pros and cons of deploying gauges, and review new technologies that overcome previous boundaries and road blocks of why gauges are not always deployed with the lift system.
|1400-1415||Invited Presenter - Thomas Scott|
|1415-1430||Invited Presenter - Barry Nicholson|
|1430-1500||Invited Presenter - Keith Fangmeier|
|1500-1530||Invited Presenter - Julian Cudmore|
Esteban Oliva, ConocoPhillips
The Oil industry and more specifically the Artificial Lift world has followed the global trend of generating data... more data… and more data. And in all senses it is absolutely logic. The AL systems installed in our wells have increasing complexity or simply we’re doing our best effort to reduce Operational Expenses. And in all cases the availability of good data is a sure way into a healthy and efficient ALS… oh! Not always? Who has heard in the most recent years the term DATA OVERFLOW? The last 12 years we have put a lot of energy and investment in generating data. However, we have reached a point in many cases that we don’t know what to do with it. Is this data generating the expected value? What’s the best Artificial Lift Data Management Strategy? Looks like just buying tools or software is not enough. There’s something more needed in that specific area to reach that happy point of generating the data that we need and make it deliver the maximum and expected value. So, are we entering the Data Management decade? What are the major operators doing to maximize the value of the investment done in data generation? Is it simpler and easier to be a small operator and manage smaller data loads?
|1600-1630||Invited Presenter - Leon Waldner|
|1630-1700||Invited Presenter - Esteban Oliva|
|1700-1730||Invited Presenter - Matthew Hackworth|