SPE DASG x Camilleri & Associates x Lunch and Learn

Speaker: Lawrence Camilleri - Camilleri & Associates

Bio: 

Lawrence has over 39 years of experience in oil field production operations and is an expert in artificial lift, completions, and reservoir engineering (PTA & RTA). While at Schlumberger, he held a wide range of positions ranging from field and application engineer to in-house consultant for operators and most recently Global Artificial Lift Domain Head for Schlumberger, the most senior technical role within the Artificial Lift division. In August of 2021, he founded his consultancy business, Camilleri & Associates, focusing on production optimization, or as he likes to say, “completing and operating winning wells”. He has published 22 SPE conference papers and 3 patents covering all aspects of ESP operation such as inflow characterization and advanced completions. He was an SPE Distinguished Lecturer for 2019/2020 on production optimization.                 

Abstract: 

Production optimization is often defined as achieving a well’s full potential. This entails maximizing drawdown over the life of the well as well as maximizing the PI (productivity index).  Some would add reducing downtime, although it is equivalent to achieving cumulative drawdown.  In this presentation, we will take a deep dive into three case studies to demonstrate how production and real-time data can be analyzed to provide production engineers with the required information to deliver production optimization in unconventional wells. The three case studies have been chosen to cover a wide range of data conditions and analytical techniques.

The common denominator for all three case studies is that the starting point is the same i.e. downhole real-time gauge data and surface well testing rates, however, in each case, the choice of filtering method varies to isolate the required response. Another common point is that all the analysis is based on traditional physics-based petroleum engineering, hence the high confidence.