Schlumberger Techlog 2024.4: Feature Overview
Techlog 2024.4 is a comprehensive platform for petrophysical, geological, and well data analysis, enabling multidisciplinary workflows for reservoir characterization. It integrates data from well logs, core samples, and other sources to support decision-making in exploration, drilling, and production.
Key Features of Techlog 2024.4
- Integrated Data Analysis:
- Supports well-centric workflows for petrophysical, geological, and reservoir engineering tasks.
- Integrates multi-domain data (e.g., well logs, core data, seismic, and production data) for comprehensive reservoir characterization.
- Provides tools for log quality control, data cleaning, and multi-well analysis.
- Petrophysical Modeling:
- Advanced modules like Quanti, Quanti.Elan, and Formation Evaluation for accurate petrophysical property calculations (e.g., porosity, permeability, saturation).
- Enhanced shale gas and tight oil analysis with improved algorithms for unconventional reservoirs.
- Supports machine learning-assisted interpretation for faster and more accurate log analysis.
- Geological and Geomechanical Analysis:
- Includes tools for facies classification, stratigraphy, and sequence analysis.
- Geomechanics module for modeling subsurface stress, well stability, and fracture analysis.
- Supports 3D visualization of well trajectories and reservoir properties.
- Real-Time and Collaborative Workflows:
- Enables real-time data integration and analysis, compatible with SLB’s Delfi digital platform for cloud-based collaboration.
- Multi-user environment for simultaneous access, facilitating teamwork across disciplines.
- Live collaboration tools for iterative interpretation and decision-making.
- Automation and Machine Learning:
- Machine learning tools for automated fault and horizon interpretation, enhancing efficiency in complex datasets.
- Automated well tie processes for rapid estimation of single and multi-well wavelets.
- Uncertainty and optimization workflows with an improved user interface for defining variables and running simulations.
- Data Management and Interoperability:
- Seamless integration with Petrel and Studio platforms for data sharing and multidisciplinary workflows.
- Supports data import/export in standard formats (e.g., LAS, DLIS, CSV) and connectivity with SLB’s other tools like ECLIPSE and INTERSECT for reservoir simulation.
- Enhanced database management with Studio 2024.4 for efficient data refresh and repository restore.
- New Features in 2024.4:
- Improved User Interface: Streamlined navigation and consistent visual elements for a more intuitive experience.
- Performance Enhancements: Optimized window loading for faster project startup, loading only visible windows initially.
- Machine Learning Enhancements: New algorithms for automated fault prediction and quantitative interpretation.
- CO2 Storage Analysis: Guided workflows for estimating CO2 capacity in saline aquifers, supporting carbon capture and storage (CCS) projects.
- Perceptual Color Tables: Added for improved visualization of subsurface data.
