Principles of big data algorithms and application for unconventional oil and gas resources
Title
Principles of big data algorithms and application for unconventional oil and gas resources
Subject
Big data
Energy resources
Petroleum deposits
Petroleum reservoir evaluation
Description
This paper presents challenges encountered during reservoir modeling and simulation, while demonstrating that the ultimate solution for these challenges can be approached in a Big Data (BD) framework using a combination of physics- And analytics-based approaches. Copyright 2014, Society of Petroleum Engineers.
87-95
Creator
Lin, Avi
Publisher
SPE Large Scale Computing and Big Data Challenges in Reservoir Simulation Conference and Exhibition 2014, September 15, 2014 - September 17, 2014
Date
2015
Type
conferencePaper
Citation
Lin, Avi, “Principles of big data algorithms and application for unconventional oil and gas resources,” Lamar University Midstream Center Research, accessed May 18, 2024, https://lumc.omeka.net/items/show/28340.