Predicting Missing Well Logs

Predicting Missing Well Logs Published: July 26, 2024Author: subsurfaceAI Predicting Missing Well Logs with Machine Learning Without Python Script Well logs are critical for understanding reservoirs and optimizing exploration and production planning. Unfortunately, many wells lack a full set of log curves necessary for quantitative analysis. For example, shear wave...

Groundbreaking Workflow Development in Collaboration

SubsurfaceAI Inc. Announces Groundbreaking Workflow Development in Collaboration with ENI for Enhanced SBED Near Wellbore Heterogeneity Modelling Calgary, Canada - SubsurfaceAI Inc. is thrilled to announce a significant breakthrough in near-wellbore heterogeneity modeling technology, developed in collaboration with Eni. This development was unveiled by Eni at the Fifth EAGE Borehole...

Innovative AI-Powered Method for Advanced Reservoir Characterization

SubsurfaceAI Inc. & Eni Reveal Innovative AI-Powered Method for Advanced Reservoir Characterization at the Fifth EAGE Borehole Geology Workshop Calgary, Alberta, Canada - SubsurfaceAI Inc., is excited to announce a pioneering development in the field of geoscience, developed in collaboration with Eni. During the recent Fifth EAGE Borehole Geology Workshop,...

Revolutionizing Seismic Horizon Interpretation

Revolutionizing Seismic Horizon Interpretation Published: March 25, 2024Author: subsurfaceAI Revolutionizing Seismic Horizon Interpretation with AI In the subsurface reservoir characterization for oil and gas exploration, development planning and CO2 storage assessment, the interpretation of geological horizons from 2-D & 3-D seismic data stands as a critical cornerstone, profoundly influencing the...

Revolutionizing Fault Detection

Revolutionizing Fault Detection Published: March 13, 2024Author: subsurfaceAI Revolutionizing Fault Detection Subsurface Reservoir Characterization with InterpretationAI Accurately mapping the spatial distribution of faults and fractures is paramount in subsurface reservoir characterization. This holds especially true for unconventional plays, where understanding the fault framework is not merely an academic exercise—it is...

Different Methods for Spectral Decomposition in AttributeStudio

One of the most popular features in AttributeStudio is Spectral Decomposition, which includes five different methods for decomposing the seismic signal into constituent frequencies.  The table below compares the methods for Spectral Decomposition available in AttributeStudio (by the way, this table is part of the AttributeStudio User Guide): Comparison of...