Accelerating Petrophysics: An automated workflow for efficient curve compositing and interpretation
Data Hub Deep Dives
Join us for an immersive exploration into the latest advancements in automating petrophysics processes. Using an example from Brazil's Pre-Salt region, witness how the combination of data science and subject-matter expertise enables efficient and consistent composition and interpretation of large volumes of curve data.
From source DLIS files to interpreted results displayed on intuitive dashboards, uncover how our Data Hub group tackle data challenges, drive geoscience insights and improve business decisions.
What to expect:
- A real case study on novel semi-automated and automated petrophysics from Brazil's Pre-Salt.
- Presentations and guidance from our experts covering all aspects, from the creation of DLIS curve inventories, curve composition and petrophysical interpretation to the development of automated petrophysical data pipelines.
- Perspectives on the value of integrating large volumes of databased calibration data for petrophysical interpretation.
Part of the broader GeoWells dataset, learn how these petrophysical datasets are calibrated by thousands of collated input data points and then once generated, combine to form an extensive, accessible database covering thousands of wells.
Attendees will discover innovative methods for locating, extracting, compositing and interpreting log curve data within a semi-automated to automated pipeline, ensuring minimized user bias, consistent quality, faster turnaround and increased throughput.
**Please check your video quality is set to max by selecting the 'Settings' cog at the bottom of the video player, 'Quality' and '1080p'**
Nguyen Le, Petrophysical Data Scientist
Nguyen is a data scientist with domain expertise in petrophysics. He dedicates his daily effort to exploring and implementing statistical learning techniques for petrophysical depth series data. Nguyen's primary objective revolves around automating the processing and analysis of this data to spearhead the development of efficient and insightful data-driven solutions.
David O'Connor, Project Petrophysicist
Dave is a seasoned petrophysicist with over 12 years expertise in formation interpretations and geological data integration. His extensive experience spans well logs from regions including the North Sea, Middle East, South and Central America. Currently, Dave is dedicated to streamlining and improving data usage within log interpretations processes; capturing, utilizing and cross-referencing multi-disciplinary data to improve the accuracy and depth of log analysis.
Edward Jarvis, Technical Head
Ed is a geologist with wide ranging experience across the world. His interest in developing more efficient workflows using technology led to a transition to a technical leadership role within Data Hub. Ed works to drive the creation of new data processes but also focus on the QC and application of the outputs, ensuring all data is available for all interpretations.
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