SCHEDULE
| Dates | Venue | Category |
| 27 February-3 March 2023 | Bangkok – Thailand | Data Management |
INTRODUCTION
This Advanced Data Management for Oil and Gas Professionals training course is designed for professionals and companies that want to take the full advantage of the data as an important asset of the company. The data revolution and the benefits as well as risks arising from it have propelled the data into the status of the lifeblood of today industry.
As the project management become standardized, the Data Management is becoming more and more standardized, and the data that the oil and gas companies gather and use needs to be properly valued, acquired, stored, managed and used in analysis in a way that will fully utilize the data as the very valuable enterprise asset.
With Big Data comes the challenge of data management, as just having the data does not suffice, the Data Management is defined as an administrative process that includes acquiring, validating, storing, protecting, and processing required data to ensure the accessibility, reliability, and timeliness of the data for its users. This training course comprises the full scope of the master data management of the spatial-geophysical and well data for the oil and gas industry.
BENEFITS OF ATTENDING
- Learn to identify the impact of data governance on the enterprise
- Acquire the knowledge about data vendors and data domains
- Get acquainted with the legal requirements for well identification
- Learn how to prepare and implement the strategies of data security
- Be able to determine data retention schedule
- Identify the legal documents defining the master data management
- Learn how to gather, transform and use the spatial data
- Identify the relations between the master data management and Exploration and Production
WHO SHOULD ATTEND?
- Petroleum Data Analysts
- Systems Analysts
- Programmers
- Data Analysts
- Database Administrators
- Project Leaders
- Software Engineers
- Managers
- Any Professional involved in Data Analytics
COURSE OUTLINE
Session 1: Master Data Management
- Data Lifecycle Management
- The Data as Enterprise Asset
- Metadata
- Data Retention Requirements
- Data Governance Frameworks
- DGI
- DAMA
Session 2: Data Gathering and Data Quality
- Data Sources
- Applicable Data Rules for Well Identification and Classification
- Professional Petroleum Data Management (PPDM) Data Model
- Data Management Functions
Session 3: Geospatial Data
- Geospatial Data Architecture
- Geospatial Data Repositories
- Software for Geospatial Data Gathering and Analysis
- Geographic Information Systems (GIS) Related Databases
- Geomatics Data Quality
- Geospatial Data Storage, Analysis and Retention
Session 4: Master Data Management and Referencing in Exploration & Production (E&P)
- Exploration & Production (E&P) Terminology
- Master Data
- Reference Data
- Data Warehouse Architecture and Business Intelligence
- Business Conceptual Model
- Logical Data Model
- Physical Data Model
- Database Administration
- Data Warehouse Administration
Session 5: Data Management, Risks and Security
- The CIA Triad – Confidentiality, integrity and availability of the data
- Data Security Policy
- Data Security Standards and Procedures
- Data Security Audit
- Data Security on the Cloud
- Interaction between the Stakeholders, Users, Clients and Government Agencies