Chapter 1 - Introduction

01-01 - Introduction & Course Objectives (2 min.) Sample Lesson

Chapter 2 - Data Collection Best Practices

02-01 - Standards and Datasets (11 min.)
02-02 - Definitions and Nomenclature (16 min.)
02-03 - Nomenclature Exercises (17 min.)
02-04 - Database Structure (4 min.) Quiz: 02-04 - Database Structure

Chapter 3 - Reliability Basics

03-01 - Reliability Definitions (7 min.)
03-02 - Lifetime Distributions (12 min.)
03-03 - Data Structure & Analysis (9 min.)
03-04 - Data Visualization & Distributions (13 min.)
03-05 - Exponential Visualizations (4 min.) Quiz: 03-05 - Exponential Visualizations

Chapter 4 - Measures of Run-Life

04-01 - Run-Life Calculations & Use (11 min.)
04-02 - New Technology Evaluation (13 min.)
04-03 - Tracking Measures Over Time (15 min.)
04-04 - Incorporating Time-Dependent Measures (9 min.)
04-05 - Course Summary (3 min.) Quiz: 04-05 - Course Summary

ESP Reliability; Data Collection and Analysis / Chapter 1 - Introduction

Lesson 01-01 - Introduction & Course Objectives

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Transcript

01. Lesson 1.01: Introduction & Course Objectives 02. Objectives 03. Course Outline 04. Instructor Background

01. Lesson 1.01: Introduction & Course Objectives

Hello, my name is Francisco Trevisan. And today we'll be talking aboutReliability, Data Collection and Analysis.

02. Objectives

The objectives of this course is to provide viewers with an overview of ESP reliability and best practices regarding data collection and deployment of reliability measures. The idea of this course was it was established to help oil and gas professionals that are involved with trackingrun-life, meaning they will gather information from the field, DIFA reports, install and pull dates andreports. And their task is to help guide strategic decisions such as forecasting and deciding on new technology adoption.
So the expected outcomes for this course: To understand what ESP data should be collected and how; Go over some basic reliability concepts and how to apply those concepts; And how we're doing that is by reviewing some industry standards and best practices; Introducing some basic theoretical concepts; And obviously going through some practical examples.

03. Course Outline

So the idea I had to pursue this course: Obviously we're doing this quick introduction presentation; Then we'll go over some data collection best practices; Go over some reliability basics; And then jump into measures of run-life.

04. Instructor Background

All right, before we start, a little introduction of myself. I have a master's in petroleum engineering from Unicamp in Brazil. I worked for 2 years as a production engineer in Petrobras. After that I pursued my Ph.D. in petroleum engineering at the University of Tulsa, working on research on artificial lift, mainly on ESPs. Upon graduation, I moved to Edmonton and worked for 7 years at C-FER Technologies as a senior research engineer, acting as a SME on ESPs and conducting applied research on artificial lift. I also worked a year and a half at Cognitive Systems as an application engineer, mainly as anSME. And currently I've been working as an independent consultant in the areas of multiphase flow, artificial lift and ESP reliability.