Digital Energy: How Uncertainty in Real Time Data is Managed in Hess

Speaker Luigi Saputelli
Sr. Production Modeling Advisor Hess Luigi Saputelli is a petroleum engineer with 20 years experience in reservoir engineering, field development, production engineering, drilling engineering, production operations and oilfield automation projects. He holds a PhD in Chemical Engineering (2003) from the University of Houston, a M.Sc. in Petroleum Engineering (1996) from ...

Sr. Production Modeling Advisor
Hess



Luigi Saputelli is a petroleum engineer with 20 years experience in reservoir engineering, field development, production engineering, drilling engineering, production operations and oilfield automation projects. He holds a PhD in Chemical Engineering (2003) from the University of Houston, a M.Sc. in Petroleum Engineering (1996) from Imperial College, London, and a Bachelor of Science, Electronic Engineering, 1990 from Universidad Simon Bolivar, Caracas, Venezuela


 



Luigi worked in Halliburton (2003-2009) where he acted as technical lead of various major projects such as Petrobras Barracuda-Caratinga fields Real Time Operations project (2005-2006), PDVSA integrated modeling and field exploitation plans for Carito and Orocual fields (2006-2007); he later acted as Production Operations Regional Practice Manager and Field Development Global Practice Manager for Halliburton. He also worked in PDVSA E&P (1990-2001) and acted as a well planning senior advisor, production technologist, reservoir modeling and simulation engineer.


He has worked in several countries such as Venezuela, Argentina, Brazil, Colombia, Saudi Arabia, Kuwait, Arab Emirates, Nigeria, England, Scotland and USA. He is an industry recognized researcher, lecturer, SPE Liaison and committee member. He has published more than 40 industry papers on applied technologies for reservoir management, real time optimization and production operations. He currently works for Hess as Senior Production Modeling Advisor.



Full Description

How Uncertainty in Real Time Data is Managed in Hess

Luigi Saputelli, PhD, HESS Corporation

Field sensor data is a key component for optimizing production in real-time, however measurement uncertainty and data availability prevent operators from achieving such goals.

Field measurement performance is ususally the combined result of sensor health, tolerance, precision, drift of accuracy, calibration, compensation, aging and position. In addition process fluctuation, rate of sampling and environment temperature and noise will affect measurement performance.

Production model error sources are usually demonstrated by the lack of validation with field data (model vs actuals), driven by the lack of update with new field data or new field status. In addition model errors are exhacerbated by insufficient data, erroneous assumptions and invalid sensor data

As a result, errors induced by wrong sensor data are propagated through "history-matched" models (reservoir characterization, well models) leading to poor decision management (production/injection allocation, safe operating envelopes).

This paper discusses the implementation of a data validation and reconciliation study in an offshore field to improve real-time data performance. In this case, data, uncertainty and models are combined to minimize a global error function. Rigorous statistics are used to calculate new sensor estimates.

The project technical scope included calculating key well measurements, including tolerance of rate measurements and gauge readings, and identifying sources of unreliable measurements. Although the approach is not new in the petrochemical industry, the application is 'young' in the upstream.

Project benefits included less downtime due to well testing and early problem detection, 65% less time expended on validating well test and allocating individual well rates, and improved cost control due to calculating well-produced volumes hourly. These findings provide a better understanding of reservoir and well performance, which facilitates production optimization management.

Organizer Carol Piovesan

When?

Wed, Sep. 14, 2011
11:30 a.m. - 1 p.m. US/Central

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Where?

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

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