Oct. 20, 2022


Description

Understanding well production performance in hydrocarbon reservoirs in a timely manner is essential for closed loop reservoir management, improving operational efficiency, and maximizing value. It is desirable to have a robust and scalable method for estimating well health, which can be applied in a practical and automated manner. However, traditional surveillance methods are often interpretive and do not scale for manual surveillance of either large fields or those with large data volumes.

 

In this talk, we will cover a new generation of reservoir modeling tools that use physics-constrained, data driven methods that can be built using routinely collected field measurements for real-world reservoir surveillance and production optimization. The field case studies will illustrate the business value through several examples such as estimating well productivity, real-time production rates, pressure depletion, short-term forecasts and flood optimization.

 


Featured Speakers

Speaker: Dr. Sathish Sankaran
Speaker Dr. Sathish Sankaran

Sathish Sankaran has over 20 years of diversified industry experience in technology development, consulting, project execution and management working on several international, deepwater, and US onshore projects. His areas of specialization include digital oilfield technologies, reservoir management, field development optimization, uncertainty analysis, production operations, and advanced process automation.
At Xecta Digital …

Sathish Sankaran has over 20 years of diversified industry experience in technology development, consulting, project execution and management working on several international, deepwater, and US onshore projects. His areas of specialization include digital oilfield technologies, reservoir management, field development optimization, uncertainty analysis, production operations, and advanced process automation.


At Xecta Digital Labs, he leads an engineering team in the development of digital solutions for energy industry by fusing physics and data analytics methods for applications in reservoir, production, facilities, and downstream processes.


Sathish is a member of Society of Petroleum Engineers (SPE) and served in several roles including advisory positions, chairperson and committee member in industry initiatives, and authored industry reports on applications of data analytics in reservoir engineering.


He has a B.Eng. (Honors) degree in Chemical Engineering from Birla Institute of Technology and Science (BITS – Pilani, India), M.S degree in Chemical Engineering from University of Cincinnati and Ph.D. degree in Chemical Engineering from University of Houston.

Full Description



Organizer

Prithvi Singh Chauhan

For any queries reach out at - prithvi_chauhan@tamu.edu


Date and Time

Thu, Oct. 20, 2022

11:30 a.m. - 1 p.m.
(GMT-0600) US/Central

Event has ended

Location

Maggiano’s Little Italy Restaurant

2019 Post Oak Blvd
Houston, TX 77056
United States of America

Maggianos (Galleria) 2019 Post Oak Blvd, Houston, TX 77056



Group(s): Reservoir