New Approach in Horizontal Wells Drilling: Cost Efficient Opportunities with AI
Disciplines: Data Science and Engineering Analytics | Drilling | Management | Reservoir
Course Description
- Reservoir characteristics for horizontal and multilateral well applications
- Evaluation of Well Performance
- Geological Well Placement and Reservoir Geology
- Well trajectory
- Wellbore Stability of Horizontal Wells
- Stress Field Effect on Drilling, Completion, Production, And Stimulation
- Application of LWD measurements for geosteering
- Geosteering Methods
- Completions for horizontal well applications
- Horizontal Well Stimulation - Hydraulic Fracturing
- Horizontal Well Stimulation - Acidizing
Learning Level
Intermediate
Course Length
3 Days
Why Attend
The course will present how horizontal well drilling will help to achieve cost efficiency, higher production with better well control, and maintained integrity.
Who Attends
Well Planning, Drilling, Completion, Reservoir, and Production Engineers
Cancellation Policy
All cancellations must be received no later than 14 days prior to the course start date. Cancellations made after the 14-day window will not be refunded. Refunds will not be given due to no show situations.
Training sessions attached to SPE conferences and workshops follow the cancellation policies stated on the event information page. Please check that page for specific cancellation information.
SPE reserves the right to cancel or re-schedule courses at will. Notification of changes will be made as quickly as possible; please keep this in mind when arranging travel, as SPE is not responsible for any fees charged for cancelling or changing travel arrangements.
We reserve the right to substitute course instructors as necessary.
Instructor
Dr. Ashwin Venkatraman is the Founder and CEO of Resermine, a niche award-winning oil and gas technology company (MOST Promising at OTC 2018). He is the recipient of the inaugural SPE International Technical Award in Data Science and Engineering Analytics at SPE ATCE 2021 held in Dubai. The award recognized his contributions to bringing hybrid workflows that combine AI/ML with traditional approaches to accelerate subsurface decision making.
Resermine’s products have been used to optimize mature field injection operations and accelerate field development planning for fields in USA, Germany, Oman, UAE, Egypt, Mexico, India and Malaysia. Resermine is based in USA (HQ) with technology delivery centers in Kuala Lumpur (ARMC - Advanced Modeling Center), Dubai (UAE) and Muscat (Oman) to support projects in different regions.
Dr. Venkatraman has published over 30 manuscripts and is on the advisory board of SPE’s Data Science and Engineering Analytics Committee. He previously worked with Shell for over 12 years at all their technology centers (India, Netherlands and Houston).
Dr. Venkatraman served as faculty in the Petroleum Engineering Department of University of Oklahoma (2019-2020) and held research appointments in Princeton University as well as at Institute of Computational Engineering & Sciences (ICES) at the University of Texas before founding the Resermine. Dr. Venkatraman holds BSc and MSc in Chemical Engineering from IIT Bombay (India) and earned his PhD from University of Texas at Austin in Petroleum Engineering.
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