Register Now for the Society of Petroleum Engineers Permian Basin Luncheon August 27, 2024 – ConocoPhillips Office – Midland

August 27th from 11 AM to 1 PM for an insightful talk from former SPE Distinguished Lecturer Lawrence Camilleri, From Raw Data to Production Optimization!🌟

We’ll dive deep into how to seamlessly integrate data analysis, artificial lift technologies, and reservoir engineering to revolutionize production strategies. Whether you’re an industry veteran or a newcomer eager to enhance your knowledge, this lecture will provide you with actionable insights and cutting-edge techniques to drive efficiency and performance.

📅 Date: August 27, 2024
🕚 Time: 11 AM – 1 PM
📍 Location: ConocoPhillips 405 N Carrizo St, Midland, TX 79701. (Poague Room)

SPE DASG x Camilleri & Associates x Lunch and Learn From Raw Data to Production Optimization

Integrating Data Analysis, Artificial Lift, & Reservoir Engineering

Don’t miss out on this opportunity to elevate your understanding and skillset in production optimization. Register now and be part of the future of industry excellence!

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.