web analytics
Visualization and Characterization of Paleozoic (Ordovician-Devonian) Tight Carbonate Reservoirs, Oklahoma, Part 1

Visualization and Characterization of Paleozoic (Ordovician-Devonian) Tight Carbonate Reservoirs, Oklahoma, Part 1

Geophysical Insights
/
Part 1 of a 2-part Paradise Application Brief series demonstrating better well planning, identifying more productive perforation intervals and aiding ...
Read More
Visualization of tight carbonate reservoirs

Visualization and Characterization of Paleozoic (Ordovician-Devonian) Tight Carbonate Reservoirs, Oklahoma, Part 2

Geophysical Insights
/
Part 2 of a 2-part Paradise Application Brief series applying multiple seismic attributes to enable easy high-grading of leaseholds, asses ...
Read More
Using Self-Organizing Maps to Define Seismic Facies

Using Self-Organizing Maps to Define Seismic Facies

Geophysical Insights
/
Using multiple attributes to evaluate a 3D volume in offshore South America containing unexpected high pressure zone and the application ...
Read More
Self Organizing Map SOM - Attributes

Using Self-Organizing Maps to Explore the Yegua in the Texas Gulf Coast

Geophysical Insights
/
Exploring shallow Yegua formation as an independent method to accurately identify anomalies and exposing direct hydrocarbon indicators using Self-Organizing Map ...
Read More
Image with text for solving interpretation problems using machine learning on multi-attribute, sample-based seismic data

Solving Interpretation Problems using Machine Learning on Multi-Attribute, Sample-Based Seismic Data

Geophysical Insights
/
Deborah Sacrey, Owner and Geophysicist of Auburn Energy, provides a review of the various attribute categories and their possible machine ...
Read More
Banner image for Solving Interpretation Problems Using Machine Learning

Solving Interpretation Problems using Machine Learning on Multi-Attribute, Sample-Based Seismic Data

Geophysical Insights
/
Deborah Sacrey of Auburn Energy hosts a webinar addressing challenges like interpretation of thin bedded reservoirs far below conventional seismic ...
Read More
Chinese American Petroleum Association

Applications of Machine Learning and Multi-Attribute Analysis to Conventional Reservoirs

American Oil and Gas Reporter (AOGR)
/
SPEAKER: Deborah Sacrey - Senior Geoscience Consultant DATE: Friday, November 4, 2016 VENUE: Marathon Oil Tower, 5555 San Felipe, Houston TX 77056 REGISTRATION: ...
Read More
AAPG Energy Insights Podcast

Machine Learning with Deborah Sacrey – AAPG Energy Insights Podcast

AAPG Energy Insights
/
Deborah Sacrey talks about Machine Learning on AAPG's Energy Insights podcast ...
Read More
Solving Exploration Problems with Machine Learning featured-image

Solving Exploration Problems with Machine Learning

First Break
/
Geoscientists Deborah Sacrey and Rocky Roden solve exploration problems using Paradise, machine learning software for seismic interpretation in the June ...
Read More