XCalibre Loader
Date Venue Fee
03 Feb - 07 Feb 2025 Dubai – UAE $ 4,950 Register Now
12 May - 16 May 2025 Nevada - USA $ 6,950 Register Now
30 Jun - 04 Jul 2025 Dubai – UAE $ 4,950 Register Now
20 Oct - 24 Oct 2025 Dubai – UAE $ 4,950 Register Now
08 Dec - 12 Dec 2025 London - UK $ 5,950 Register Now
About the Course

Data Management in Oil & Gas industry has been lagging for ages as most of the industry is dealing with data which is divided in data siloes, and information management professionals need the ability to collect, find, edit, manage, and transfer data quickly and easily, allowing them to provide the right information to the right people at the right time in support of their business processes, and improvement of collaboration within the industry as a whole.

This ProSource for Petroleum Data Management training course is focused on ProSource E&P Data Management and delivery system, as it provides a powerful and broad solution for acquiring, managing, and delivering corporate data required by all disciplines across an E&P organisation. The delegates will learn how the ProSource data management system adds the structure for an integrated working environment.

The delegates will go through data domains in a single, integrated repository and platform-neutral interface. This programme will allow the delegates to optimally use the data in their E&P decision-making.

Core Objectives

The delegates will achieve the following objectives:

  • Learn how to administer and create various accounts
  • Acquire advanced data-loading scenarios
  • Increase their working practices in synchronising existing projects
  • Understand how to extend the data model
  • Know how to configure miscellaneous parameters like reports, job scheduler, and other
Training Approach

This training course uses several proven adult learning techniques, theoretical presentations with practical work of the delegates on how to properly use the data in Exploration and Production, implement and use the ProSource E&P Data Management, and prepare and implement the data architecture applicable for their enterprise. The focus is on enabling delegates to answer the questions which arise in the everyday life of Petroleum Data Management professionals.

The Attendees

The professionals whose jobs involve data gathering, data analysis, and decision-making are focused on either becoming Petroleum Data Analysts, certified or not, or entirely using the benefits of Petroleum Data Analysis in their company business.

Likewise, it will be valuable to the professionals but not limited to the following:

  • Petroleum Data Analysts
  • Petroleum Engineers and Professionals
  • Systems Analysts
  • Programmers
  • Data Analysts
  • Database Administrators
  • Project Leaders
  • Software Engineers
  • Managers
  • Any Professional involved in Data Analytics
Daily Discussion

DAY ONE: MULTI-DOMAIN MASTER DATA MANAGEMENT

  • Oil & Gas Multi-domain Master Data Management Scope
  • Data Ownership and Data Stewardship
  • Data Integration and Synchronisation within Oil & Gas Industry
  • Business Definition Conflicts in Data Management
  • Prioritising Master Data for Oil & Gas Industry

DAY TWO: BASIC CONCEPTS

  • ProSource Family
  • Application Architecture
  • Client-server Components
  • Data Stores and Data Sources
  • Running the Application
  • Accessing Documentation

DAY THREE: PROSOURCE INTERFACE

  • Navigating Basic Viewers
    • TreeView
    • TableView
    • RowView
    • FormView
  • Creating and Managing Data Connections
  • Geographic Information System (GIS) Map Viewer, Spatial Queries, and Basic Map Projections

DAY FOUR: PROSOURCE FRONT OFFICE

  • ProSource Front Office Interface
  • Wells, Well Logs, and Well Files
  • Deviation Surveys, Markers, Perforations
  • Checkshot Surveys, Core Intervals, VSP Surveys, and Seismic Data
  • Export Log Data

DAY FIVE: PROSOURCE ADVANCED TOPICS

  • ProSource Enterprise Architecture
  • Visual Integration of Different Data Types
  • Loading Standard (LAS/UKOOA) and Non-standard (ASCII) Format Data
  • Quality Control, Validation and Standardisation of Data
  • Export Data and Perform Data Transfers