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Distinguished Seminar Series: Dr. Rajan Chokshi

February 15 @ 10:00 am - 11:00 am

Real-Time Data Acquisition & Analysis for Enhanced Production

Dr. Rajan Chokshi

MZ108 on February 15th 10:00 am

In a lower-for-longer environment, demand for higher efficiencies with reduced staff levels has accelerated moves towards real-time monitoring and related production optimization technologies that fall under the umbrella of digital oilfield. While dynamic production management is a must in frontier areas like subsea, HP/HT and unconventional fields, significant benefits can be realized for conventional and mature fields. As our data sensing and acquisition capabilities continue to expand, a related challenge is managing the data streams and converting them into actionable information. Dashboard-tools have been successfully used in operations to simplify data interpretation; however, there is a need for analysis tools that help enhance production by reducing downtime, improving workflows and identifying hidden inefficiencies. These tools need to incorporate intuitive visualization and right-time analysis capabilities. This presentation covers several field-cases on real-time data acquisition and the approaches used to convert data into information. One key takeaway is that although real-time technologies have matured, much more needs to be done to develop and utilize real-time analysis tools. While expectations for marginal fiscal gains are prudent, intangibles such as reduced downtime, improved workflow and improved QHSE are the biggest prizes.

Bio:

With 34+ years of experience in NOC, research-consortium, software, O&G service and consulting companies, he has worked globally in the areas of multi-phase flow, artificial lift, production optimization, and real-time production monitoring. He has co-authored over fifteen SPE papers, two patents, and has delivered several SPE webinars. Besides conducting professional workshops globally, he has taught at Texas Tech, Missouri S&T, U of Southern California and continues to teach at the U of Houston.

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Date:
February 15
Time:
10:00 am - 11:00 am
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