Author: subsurfaceAI

Advanced Geobody Interpretation Workflow in SubsurfaceAI Seismic interpretation plays a crucial role in subsurface exploration by identifying geobodies—three-dimensional features derived from seismic attributes. These geobodies often correspond to key reservoir structures such as channelized deposits, carbonate buildups, and turbidite fans. Extracting, classifying, and analyzing these geobodies is essential for hydrocarbon...

Interactive Data Conditioning Published: February 13, 2025Author: Renjun Wen Interactive Data Conditioning in SubsurfaceAI Software In today's data-driven landscape, high-quality information is the foundation of actionable insights—particularly in subsurface exploration. Whether you're in oil and gas, mining, or geotechnical engineering, the accuracy of your decisions depends on the reliability of...

AI for Interpreting Core Photos Published: February 6, 2025Author: subsurfaceAI AI for Interpreting Core Photos and Predicting Rock Properties In the realm of subsurface exploration and reservoir characterization, core samples represent some of the most valuable data sources available. These physical samples, extracted from deep beneath the Earth's surface, provide...

Bridging Seismic Data, Inversions, Well Logs, and Reservoir Production Published: February 3, 2025Author: subsurfaceAI integrationAI: Bridging Seismic Data, Inversions, Well Logs, and Reservoir Production integrationAI, a core package within subsurfaceAI, is designed to seamlessly integrate diverse geoscience data sources—including multiple seismic attributes, inversion outputs, well logs, and reservoir production metrics....

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...