Foundations of Petrophysics and Integration
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Petrophysics sits at the center of every subsurface decision — but it only delivers value when it's properly integrated with geology, reservoir engineering, and drilling. This 4-hour live workshop takes you through the full petrophysics workflow: from how data is acquired downhole, to how logs and core are evaluated, to how petrophysical inputs feed into reservoir models. You'll learn how a petrophysicist actually works inside a subsurface team — what data to trust, how to handle uncertainty, and how to turn raw measurements into decisions that hold up. Whether you're a geoscientist, reservoir engineer, or early-career petrophysicist, you'll leave with a clear picture of how the discipline works end to end.
Workshop Objectives
By the end of this workshop, participants will be able to:
Understand the role of the petrophysicist within a petroleum engineering subsurface team
Explain the downhole data acquisition environment and its effect on measurement quality
Evaluate wireline, LWD, and advanced logging data with confidence
Use cased hole data for well & reservoir surveillance and management (WRSM)
Plan core data acquisition and apply core results in formation evaluation
Handle uncertainty systematically in petrophysical interpretation
Prepare petrophysical inputs for model building and upscaling
Apply facies and saturation-height modeling concepts in reservoir characterization
About the Presenter
Joe Bildstein, MEng, is Principal Petrophysicist Consultant at TRACS International with over 30 years of experience in petrophysics and geomechanics. He spent 17 years at Petroleum Development Oman (PDO) as Lead Petrophysicist and Graduate Coach, where he led formation evaluation for clastic and carbonate oil and gas fields, built pore pressure and fracture gradient models, served as SME for cement bond and corrosion logging, and coached PDO's graduate development program from 2016 to 2024. Before PDO, he was Senior Petrophysicist at RWE-DEA (Hamburg & London), working reservoirs across the North Sea, Libya, Egypt, and Germany, and spent nine years with Schlumberger across Venezuela, the USA, Saudi Arabia, Yemen, and Austria. He holds a Master of Petroleum Engineering from the Technical University of Clausthal, Germany, has published with SPE, SPWLA, and EAGE, and was named Best Speaker at the SPWLA regional conference in Muscat. He has trained subsurface staff up to master level throughout his career.
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Machine Learning for Drilling Engineering with Python
Drilling generates huge amounts of data — but most of it sits unused. This hands-on workshop shows you how to turn that data into better decisions using Python and machine learning.Over the sessions, you'll work with real drilling datasets to build models that predict problems before they happen — stuck pipe, ROP optimization, bit wear, formation changes, and more. No heavy math theory. You write code, run it on actual data, and see the results.By the end, you'll have working Python scripts you can adapt to your own field data, plus a clear understanding of where ML adds value in drilling and where it doesn't.Built for drilling engineers, not data scientists. If you can read a drilling report, you can follow this course.