SPE Online Education
Data Exploration and Analytics for Artificial Lift and Production Engineers
Includes a Live Event on 06/25/2021 at 9:30 AM (EDT)
Artificial lift (AL) and production engineers envisage, design, operate, and optimize well-installations, production equipment (inside the wellbore and on the surface) that collectively generate significant amounts of real-time and offline data streams vital for the digital transformation underway in the oil and gas upstream. As our data sensing and acquisition capabilities continue to expand, a related challenge is analyzing the data streams and converting them into actionable information. Data exploration and analysis means the process of capturing, cleaning, inspecting, transforming, and modeling data to discover new, useful information for decision-making. Once the models are placed in the service, model diagnostics and maintenance are equally important. This presentation reviews a few examples of the data-captures and data-driven analytics workflows applied in artificial lift applications. A couple of key takeaways from the presentation are:
- While ML/AI approaches promise new pathways to solving the operational challenges, AL and the production community needs to actively pay attention to and participate in the data management lifecycle from cleaning through modeling,
- In most ML projects, AL and the production community are mostly used for data-labeling as subject matter experts (SMEs) while the remaining analytics workflows are managed by a team of data/ML/AI scientists. The low-code/no-code platforms offer the possibility of direct involvement of ‘SMEs.’
This webinar is categorized under the Production and Operations and Data Sciences and Engineering Analytics technical disciplines.
All content contained within this webinar is copyrighted by Dr. Rajan Chokshi and its use and/or reproduction outside the portal requires express permission from Dr. Rajan Chokshi.
Dr. Rajan Chokshi
Oil and Gas Industry Lead, Fathoms.io
Dr. Rajan Chokshi has over 35 years of work experience in multiphase flow, artificial lift, real-time production optimization, and software development/management. He is currently the oil and gas industry lead for Fathoms.io, an AI-powered Industrial IoT platform for operations where he leads a team of petroleum, and machine-learning experts on a variety of use cases like failure prediction, virtual flow rate determination, wellhead integrity surveillance, corrosion, equipment maintenance, DTS/DAS interpretation. Chokshi has worked for national oil companies, majors, independents, and service providers globally. He has multiple patents and SPE papers and has delivered a multitude of industry presentations. He continues to teach in the SPE, university, and professional forums. Twice selected as an SPE distinguished lecturer, he also volunteers on SPE committees. He has a Ph.D. in Petroleum from the Uni of Tulsa and a master’s in chemical from IIT-Kanpur, India.
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