Technical Supplement: AVO Theory, Derivations, Angle Treatment, Stability, and Examples for SubsurfaceAI Partial-Stack AVO Published: December 5, 2025Author: subsurfaceAI This document provides the mathematical and geophysical foundations behind SubsurfaceAI’s AVO calculation using partial stacks. It elaborates the equations and assumptions behind estimating intercept and gradient from angle/offset-limited stacks, demonstrates the...
Rock Physics for Seismic Interpreters: Part 1
Rock Physics for Seismic Interpreters: Part 1 Published: December 4, 2025Author: subsurfaceAI Bringing Rock Physics Into Everyday Seismic Interpretation With SubsurfaceAIRock physics is the scientific foundation that links subsurface reservoir properties—porosity, lithology, fluids, pressure—to the seismic responses we observe in the field. Yet for most seismic interpreters, rock physics has...
AVO Analysis in SubsurfaceAI from Partial Stacks
AVO Analysis in SubsurfaceAI from Partial Stacks Published: December 4, 2025Author: subsurfaceAI Easy, Integrated Workflow for Interpretation Geophysicists – and How It Compares to Pre-Stack GathersAmplitude Variation with Offset (AVO) is a powerful way to connect seismic amplitude behavior to changes in rock and fluid. In many teams, though, AVO...
Rule-Based Reservoir Modeling – Part 3: Dynamic Testing of Rule-Based Point-Bar Reservoir Models
Rule-Based Reservoir Modeling – Part 3: Dynamic Testing of Rule-Based Point-Bar Reservoir Models Published: December 4, 2025Author: subsurfaceAI AbstractIn the first two parts of this series, we introduced the motivation and methods behind rule-based reservoir modeling. Part 1 presented the core philosophy—representing geological heterogeneity that controls fluid flow—while Part 2...
Opening the Black Box: How SubsurfaceAI Makes Machine Learning Predictions Explainable for Porosity Prediction
Opening the Black Box: How SubsurfaceAI Makes Machine Learning Predictions Explainable for Porosity Prediction Published: November 12, 2025Author: subsurfaceAI The Promise and Problem of Machine Learning in GeoscienceMachine learning (ML) has transformed the way geoscientists interpret subsurface data. From seismic attribute volumes to well logs and core data, algorithms can...
Predicting Well Top Properties from Seismic Attributes Using Machine Learning in SubsurfaceAI
Predicting Well Top Properties from Seismic Attributes Using Machine Learning in SubsurfaceAI Published: October 29, 2025Author: subsurfaceAI Machine learning (ML) is reshaping how geoscientists interpret the subsurface. Traditionally, seismic interpreters rely on manual correlation between well data and seismic attributes — a time-consuming, subjective process that often depends on individual...
Rule-Based Reservoir Modeling: Capturing Reservoir Heterogeneity That Matters Most to Fluid Flow – Part 2
Rule-Based Reservoir Modeling: Capturing Reservoir Heterogeneity That Matters Most to Fluid Flow – Part 2 Published: October 14, 2025Author: subsurfaceAI In Part 1 of this series, we introduced the principles of rule-based reservoir modeling and explained how geological-rule–driven geomodels differ from conventional stochastic approaches. By embedding depositional rules, stacking patterns,...
Rule-Based Reservoir Modeling: Capturing Reservoir Heterogeneity That Matters Most to Fluid Flow – Part 1
Rule-Based Reservoir Modeling: Capturing Reservoir Heterogeneity That Matters Most to Fluid Flow – Part 1 Published: September 12, 2025Author: subsurfaceAI IntroductionReservoir modeling is central to hydrocarbon exploration and production. It provides the quantitative framework to estimate hydrocarbon volumes, assess recovery factors, and support dynamic simulations of reservoir performance. Traditional reservoir...
Why You Must Model Sub-Cell Heterogeneity in Reservoirs: An Expanded Examination
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?
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...
