COURSE OVERVIEW:

Data Management for Geoscience Projects is an essential discipline that ensures the integrity, accessibility, and security of critical subsurface information. In the modern energy industry, geoscientists spend a significant portion of their time searching for and validating data rather than performing analysis. This course provides a structured framework for managing the lifecycle of exploration and production data, from initial acquisition and ingestion to archival and deletion, ensuring that every decision is based on high-quality, verified information.

The scope of this training encompasses the international standards for geoscience data, including PPDM and SEG formats, and the implementation of rigorous quality control (QC) workflows. Participants will learn how to manage diverse datasets such as seismic surveys, well logs, core reports, and spatial GIS files within a centralized environment. The course emphasizes the importance of metadata, version control, and data governance policies to prevent the accumulation of "dark data" and to facilitate seamless collaboration across multi-disciplinary teams.

Furthermore, the course addresses the transition toward digital transformation and the role of cloud-based data repositories. Attendees will explore modern techniques for data cleaning, automated QC using scripts, and the ethical considerations of data security and proprietary rights. By the end of this course, data managers and geoscientists will be equipped to transform raw data into a strategic asset, significantly reducing project cycle times and improving the accuracy of subsurface interpretations.

COURSE OBJECTIVES:

After completion of this course, the participants will be able to:

• Define the core principles of the Data Management Lifecycle in geoscience.
• Apply international data standards such as PPDM and OSDU frameworks.
• Execute rigorous Quality Control (QC) procedures for seismic and well data.
• Manage coordinate reference systems to ensure spatial data consistency.
• Implement naming conventions and metadata standards across projects.
• Utilize automated tools and scripts for mass data cleaning and validation.
• Establish data governance policies and roles within an organization.
• Organize and archive physical data assets such as cores and paper logs.
• Mitigate the risks of data loss through robust backup and recovery plans.
• Facilitate data integration between interpretation software and databases.
• Evaluate the security and compliance requirements for proprietary data.
• Monitor data health using dashboards and key performance indicators.
• Design efficient data loading workflows for large-scale exploration projects.

TARGET AUDIENCE:

Geospatial Data Managers, Geoscientists, IT Professionals in Energy, and Technical Assistants responsible for subsurface data integrity.

TRAINING COURSE METHODOLOGY:

A highly interactive combination of lectures, discussion sessions, and case studies will be employed to maximise the transfer of information, knowledge, and experience. The course will be intensive, practical, and highly interactive. The sessions will start by raising the most relevant questions and motivating everybody to find the right answers. The attendants will also be encouraged to raise more of their questions and to share in developing the right answers using their analysis and experience. There will also be some indoor experiential activities to enhance the learning experience. Course material will be provided in PowerPoint, with necessary animations, learning videos, and general discussions.

The course participants shall be evaluated before, during, and at the end of the course.

COURSE CERTIFICATE:

National Consultant Centre for Training LLC (NCC) will issue an Attendance Certificate to all participants completing a minimum of 80% of the total attendance time requirement.