Category: Tech Blog

Why You Must Model Sub-Cell Heterogeneity in Reservoirs: An Expanded Examination Published: September 9, 2025Author: subsurfaceAI IntroductionReservoir modeling has long served as the foundational pillar of petroleum exploration and production. For decades, geoscientists and reservoir engineers have meticulously constructed full-field static and dynamic models to forecast hydrocarbon volumes, optimize production,...

Will AI Replace the Daily Work of Seismic Interpreters? How SubsurfaceAI Delivers Core Steps—TodayArtificial intelligence (AI) and machine learning (ML) are no longer side projects in subsurface workflows; they are embedded in the daily practice of geology and geophysics (G&G). The key question is no longer “Can AI help?” but...

Why SubsurfaceAI Software Is Increasingly Popular for Geobody Interpretation Published: August 8, 2025Author: subsurfaceAI The Strategic Role of Geobody Interpretation in Reservoir CharacterizationIn modern subsurface workflows, accurately characterizing the spatial distribution of hydrocarbon reservoirs is foundational. Contrary to the traditional assumption that reservoirs always conform to seismic horizons, many geoscientists...

Why Use AI for Faster, More Accurate Fault Interpretations? Published: July 17, 2025Author: subsurfaceAI Faults are among the most critical geological features in subsurface reservoirs. From forming structural traps in conventional hydrocarbon plays to introducing drilling hazards in unconventional settings, faults profoundly influence exploration, development, and production decisions. For decades,...

Why Should You Use AI for Faster, More Accurate Horizon Interpretations? Published: July 2, 2025Author: subsurfaceAI Horizon interpretation is one of the most critical tasks in any seismic interpretation project, whether you are working with 2D or 3D seismic data. Horizons define the boundaries between geological layers and are essential...

De-Risking Horizontal Drilling with Machine Learning in Unconventional Plays Horizontal drilling in unconventional reservoirs comes with significant risks and uncertainties. Yet, it also generates massive amounts of data that hold the keys to smarter decision-making. In this article, we explore how machine learning (ML) can help de-risk horizontal drilling by...

A quick tour of ML in subsurfaceAI 2025 Machine Learning at the Core of subsurfaceAI 2025.1subsurfaceAI’s 2025.1 release marks a watershed moment for digital subsurface workflows. Where geoscientists once stitched together disparate tools—sometimes literally drawing interpretations by hand—today they can call on a tightly integrated suite of machine‑learning (ML) models that accelerate every...

Rapid Reservoir Characterization with Multiple Seismic Attributes A Complete Workflow Solution Powered by AI and Machine Learning from subsurfaceAI In today’s energy industry, subsurface professionals face the dual challenge of working with increasingly complex datasets and delivering faster insights with fewer resources. As exploration targets become more subtle and development...

Full Two-Way Integration with SeisWare in subsurfaceAI 2025.1 Breaking Down Silos in Subsurface Interpretation At SubsurfaceAI, we’ve always believed that the future of geoscience is not just about smarter algorithms—it’s about smarter workflows. With the release of subsurfaceAI 2025.1, we’re proud to take a significant step forward in that direction...

AI & ML Are Transforming Seismic Interpretation – Here's How The seismic interpretation software landscape is undergoing a seismic shift. Thanks to advances in artificial intelligence (AI) and machine learning (ML), what once took geoscientists weeks or months now takes hours or days, with greater precision and objectivity. At subsurfaceAI,...