San Francisco, California
London, United Kingdom
8:00 - 8:30 Register and enjoy breaksfast !
8:30 - 9:00 Introduction from HEDS and Feature Speaker
Francisco Sanchez - President, Houston Energy Data Science; Welcome and Introduction!
Non-profit organization for the promotion of Data Science in the Energy Industry
9:00 - 9:30 Speaker 1
9:30 - 10:00 SparkCognition - Extracting Value from Data with Predictive Analytics
To make use of the IoT and Big Data, industries are applying sophisticated algorithms to vast quantities of sensor data, imbuing the Industrial Internet with intelligence. Next-generation AI-driven prognostics warn operators about failures before they occur, identify sub-optimal operating conditions, and assist with root-cause analysis.
Innovators are working to build platforms that use pattern recognition and machine learning to detect patterns in data derived ultimately from physical devices, including sensors, IoT devices and IT servers, or virtual systems, such as operating systems and applications. Leading technology can then use that data to develop deep insights into underlying performance, security, failure prediction and optimization-focused modeling.
10:00 - 10:30 Break
10:30 - 11:00 Austin Labs - Turning Oil and Gas Data into Performance
Big data is not new to Oil and Gas. After all, it has relied on seismic analysis to control uncertainty in oil exploration for many decades now. But for most other facets of oil-well management, Oil and Gas companies have relied on human skill and judgement with data playing a relatively insignificant role. All that’s changing today with the advent of era of cloud computing and modern Big Data technologies. Here’re the key ways we’re helping turning oil and gas data into gold.
- Knowledge Discovery
- Well Performance Management
- Pump Prognostics and Health Management
11:00 - 11:30 Databricks - Solutions for the Energy Industry
From highly instrumented wells to the proliferation of smart grid technologies, data is becoming a critical element in the discovery, extraction, and delivery of energy – whether it is oil, natural gas, or even wind and solar.
With Databricks you can:
- Process seismic images faster.
- Predict equipment failures using machine learning algorithms and perform preventative maintenance.
- Monitor oil well performance in real-time using streaming data from sensors in the field.
11:30 - 1:00 Lunch & Network
1:00 - 1:30 Speaker 5
1:30 - 2:00 Speaker 6
2:00 - 2:30 Break
2:30 - 3:00 Speaker 7
3:00 - 3:30 Business Laboratory - George Danner, President
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When & Where
Houston Energy Data Science - HEDS
Non-Profit Organization promotion Data Science to the Energy Industry