Digital Energy: Data Mining and Predictive Analytics Transforms Data to Barrels

Speaker Shawn Shirzadi
Program Manager-Field of the Future BP Shawn Shirzadi is currently the Data Analytics Program Lead in BP Upstream.  Shawn is one of the principle inventors of Data Analytics signature capabilities, “Top Down Waterflood” concept and toolkit.  He has led the growth of the Data Analytics team in BP focusing on ...

Program Manager-Field of the Future
BP



Shawn Shirzadi is currently the Data Analytics Program Lead in BP Upstream.  Shawn is one of the principle inventors of Data Analytics signature capabilities, “Top Down Waterflood” concept and toolkit.  He has led the growth of the Data Analytics team in BP focusing on implementation and research in data mining, predictive analytics, and artificial intelligence application in Upstream operations. He is currently the Chairman of the Society of Petroleum Engineers (SPE) Petroleum Data-Driven Analytics (PD2A) Technical Section.  He is served on steering board committees of SPE Forums for Artificial Intelligence and Reservoir Management 2020.  Shawn is active member of IEEE and American Chemical Society.


 


Shawn has over 25 years of industry experience in oil and gas, mainly focused on waterflood and EOR and holds BSc and MSc in Petroleum Engineering from University of Texas at Austin. He joined BP in 1989 starting his career as a petrophysicist in Alaska working on giant Prudhoe Bay field.  In early 90’s, he moved on to reservoir engineering and field development planning role where he contributed in support of new well delivery, reservoir performance management and waterflood optimization. He led integrated depletion planning and reservoir management activities in Prudhoe Bay with focus on waterflood and Miscible Injection schemes.  In 1998 he started his new role in Kuwait and Abu Dhabi where he spent 8 years working in large onshore and offshore fields of Middle East, such as Sabriyah, Lower Burgan, Lower Zakum, Upper Zakum, and Umm Shaif.  He led multi disciplinary teams of specialists in developing new technology to optimize the depletion plans for large and complex fields.


Full Description
BP’s FIELD OF THE FUTURE Data Analytics program is developing data-driven technologies that complement existing capabilities for reservoir management and operations.  Widespread adoption of BP’s proprietary wells and equipment real time surveillance and monitoring applications provides efficient workflows that deliver real time data to decision-makers.   Data Analytics applications are transforming this data into information that will improve the management of operational risk, increase production and maximize both resource recovery and workforce efficiency.  This paper describes our progress made in the areas of operational risk and increasing production and outlining our future activities. So far we have created data-driven corrosion assessment tools and have developed new technology for virtual flow meters.  Corrosion assessment is now able to evaluate the efficiency of our pipeline inspection programs.  Following successful proof of concept and field trials, we will package this capability and deploy it globally as a standard workflow as soon as possible.  Data-driven virtual flow meters are being implemented to provide a 3-phase metering capability.   Better well and zonal flow allocation will improve reservoir management.  Other soft sensors are being developed to create well diagnostic and prognostic capabilities for BP’s real-time surveillance toolkit.  This helps assets identify well work and optimization opportunities.Future activities include new predictive technologies to increase recovery and reduce well-integrity risks.  We are developing an innovative approach to diagnose and optimize waterflood performance designated as Top-Down Waterflood Diagnostics and Optimization.  This novel approach combines BP’s proprietary production event detection and association technology with visualization and parametric models that can quantify the subsurface connections between injectors and the producers.  Trials have demonstrated that this complements the conventional waterflood management and optimization workflows.   In conjunction with other activities, the benefit to operations is derived from improving sweep efficiency in increasing recovery. Use of data mining and predictive analytics for business intelligence has created significant value in finance, medicine, power generation, and other industries.  BP now has an established, active program to bring the business intelligence approach into its E&P operations and particularly to its reservoir management.
Organizer Carol Piovesan

When?

Wed, Apr. 18, 2012
11:30 a.m. - 1 p.m. US/Central

How Much?

A $5 donation for the SPE-GCS Scholarship Fund has automatically been added to the registration fee. Use OptOut in the Discount Code field if you do not wish to donate at this time.
Event has ended

Where?

Courtyard on St James
1885 Saint James Pl
Houston, Texas 77056
USA

Refund Policy: You must notify the SPE-GCS office of your intent to cancel at least 24 hours prior to the event date to receive a refund. For all refund inquiries, email spe-gcs@spe.org. View our Terms & Conditions for more information.