Introduction to Upstream Technical Data
The Introduction to Upstream Technical Data course provides an overview of the technical data that is a crucial to operating a successful oil company. It covers the estimation of data’s impact, the key categories of data, data management practices, effective governance, defining standards, measuring data quality and implementing improvement projects.
Topics and course objectives
The course focuses on all aspects of “upstream” technical data, that is the data that enables petroleum to be found and extracted from the ground. It first establishes a number of ways to measure the impact that data has on the overall success of any oil company. It outlines the different categories of data that are employed during the exploration and production phases and the best way to define, standardize and assess the data. It also explains data governance and how the data flows can be documented. As learning objectives, the course shall enable participants to acquire the following insights:
- Articulate the impact that poor quality data can have on overall company success
- Employ a range of techniques to assess the value that technical data realizes
- Outline the main data categories employed during exploration and production activities
- Map the key data flows and recognize typical issues that can impact results
- Describe a range of data governance approaches and select appropriate options
- Document effective data standards, enforce and track adoption
- Implement effective data quality monitoring and correction workflows
- Identify the key data that needs to be kept by regulators, operators and partners
Who should attend
The course is intended to benefit those involved in the petroleum sector, whether they are operators, partners or regulators. No prior knowledge specific to the petroleum sector or to data management is required. Those with some prior experience in either the management of oil companies, or geoscience disciplines or data management practice will benefit most from the course.
The course is highly interactive with a mix of lecturer presentations, group discussions, participant presentations and class discussions.
Registration and fee
Registrations to participate are made on this form: Virtual RILS - Data Management course registration form. Deadline of application is 27th March 2021.
Tuition fee: USD 2500. Invoice for payment will be sent after the registration form is received. Payment has to be paid by 31st March 2021.
Steve Hawtin is an independent consultant that has been improving the data handling of oil companies for more than 30 years. He is the author of the book “The Management of Oil Industry Exploration & Production Data”.