In the modern oil and gas industry, the ability to visualize, interpret, and model subsurface structures is not merely an advantage—it is a necessity. Among the software suites designed for this purpose, Schlumberger’s Petrel stands as a dominant platform. Often described as a geoscience “hub,” Petrel integrates seismic interpretation, geological modeling, petrophysics, and reservoir simulation into a single workflow. However, for new users—from graduate students to early-career geoscientists—the software’s sheer breadth can be intimidating. This essay serves as a conceptual tutorial, outlining the fundamental steps, logical workflows, and best practices for navigating Petrel’s core functionalities. The goal is not to replicate a software manual but to provide a structured cognitive roadmap for building a three-dimensional subsurface model.
Well-to-Seismic Tie: Align well data with seismic depth/time to ensure markers match seismic reflections. petrel tutorial
Here’s where Petrel’s power shines. You’ll learn to populate grid cells with rock properties: Well-to-Seismic Tie : Align well data with seismic
Finally, you’ll calculate hydrocarbon volumes (STOIIP or GIIP) using the property model. Many tutorials end by exporting to a reservoir simulator (like Eclipse or INTERSECT), closing the loop from geology to engineering. outlining the fundamental steps
Fault Modeling: Convert fault sticks into a clean, interconnected fault framework. Pillar Gridding: Define the horizontal