Data Mining of Hidden Danger in Operational Production
The value of hidden-danger data stored in text can be revealed through an approach that can help sort and interpret information in an ordered way not used previously in safety management.
Research Aims To Cut Time and Cost of Characterizing Tight Gas Sandstone Reservoirs
A recently launched joint industry project (JIP) is working to improve petrophysical analysis methods to reduce the time and expense of characterizing tight sandstone gas reservoirs for exploration, appraisal, and production.
Enhancing Well-Work Efficiency With Data Mining and Predictive Analytics
Failure to prioritize objectives and improper selection of candidate wells can have significant implications for both derived value and potential risk.
Do Data-Mining Methods Matter? A Wolfcamp Shale Case Study
Data mining for production optimization in unconventional reservoirs brings together data from multiple sources with varying levels of aggregation, detail, and quality.
Data-Driven Production-Impact Assessment During Unplanned Facility-System Events
A data-driven approach to successfully analyze and evaluate production-fluid impact during facility system divert events is presented. The work flow effectively identifies opportunities for prompt event mitigation and system optimization.
Crossover Technologies Enhance Innovation in Oil Industry
The challenges facing the oil and gas industry require crossover technologies from other industries such as aerospace, automotive, and medicine to help drive efficiency, boost productivity, and optimize performance.
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