13:30  Capturing geochemistry data from assesment report at scale with high accuracy

- Henri Blondelle, Manager, Agile Data Decisions

The combination of AI and Human Expertise enable to capture trustable data from unstructured documents.

14:00  Building Trust in Subsurface Data Through Unified Visualization

- Dr. Hugues Thevoux, Vice President, Software Services, SLB

A Scalable Approach to Cross-Domain Integration, Real-Time Access, and Data Integrity in Upstream Workflows.

14:30  A typical solution using operational and production data for monitoring the wells and fields

- Tu Le Mai Khanh, Production Engineer, Sensia

The concept of production data monitoring and surveillance is not new in the market, but it always brings significance in the outcomes and attracts the interest from engineers. With the strengths being discussed in this paper, it is strongly believed that the monitoring solution is not only providing consistent data applications for various well and field production engineering workflows but also can be considered to apply as the monitoring solution for other industries such as sustainable energy and low carbon process.

15:00  Redefining Access from Storage Strategy to User Experience

- Jesse Dolan, Sr. Project Manager, Talus Technologies

A case study on building a cloud-ready platform that simplifies data access, makes storage architecture invisible to users, and supports scalable collaboration.

15:30  From Data Chaos to Clarity: Integrating Dashboards, Analytics, and Archiving for Smarter Decisions

- Maalidefaa Moses Tantuoyir, Data Management Services Professional, Petrosys - Interica

This presentation shows how analytics and dashboards help oil and gas operators turn scattered data into actionable insights for real-time analysis, improved data visibility, and informed decision-making. Integrated archiving identifies obsolete data, reduces costs, and enhances performance, transforming data management into a strategic, value-driven function.

16:00  Unifying Geoscience Workflows: An Integrated Approach to Seismic Interpretation and Data Management using a Multi-Agent LLM System

- Ekatarina Sørensen, Chief Growth Officer, Kadme AS

This paper presents an integrated system that unifies seismic interpretation and data management using a multi-agent LLM framework. By combining ontology-driven access to siloed E&P data, GPU-accelerated multi-user interpretation software, and AI-constrained LLM agents, the platform delivers real-time, collaborative, and context-aware geoscience workflows. It eliminates the need for data duplication, enhances AI performance through domain-specific constraints, and preserves full data lineage and security. The result is a cohesive ecosystem that transforms subsurface data handling into an efficient, AI-powered process.

16:30  Streamlined Petrel-Techlog Data Management Integration

- Carlos Macedo, Data Manager, Cegal

Breaking Down Data Silos with Python-Based Platform Connectivity.