SPE Online Education
AI/ML Drilling Systems Need Timely Trusted Data to Deliver Trusted ResultsIncludes Credits
Real-time data now represents a growing stream of scores of channels of digital data being fed concurrently to numerous receiving entities in the operator's remote monitoring amenities, at contractor centers and other facilities. Analytics are applied to data channels to signal or predict deviations from expected readings that require attention. For such systems to work effectively and reliably the input data must be trustworthy.
The National Petroleum Council Roadmap to At-Scale Deployment of Carbon Capture, Use, and Storage in the United StatesIncludes Credits
The United States leads the world in CCUS deployment today with approximately 80% of the world’s carbon dioxide (CO2) capture capacity, with many of the early projects driven by market economics, including the availability of low-cost supply of CO2 and demand for CO2 for enhanced oil recovery (EOR). Moreover, although the United States is currently the world leader, its 25 million tonnes of CCUS capacity represents less than 1% of the CO2 emissions from stationary sources.
Hydraulic Unit Determination and Permeability Prediction Based on Flow Zone Indicator Using Cluster AnalysisIncludes Credits
The aim of this webinar is to highlight that a hydraulic unit’s zonation process requires a supervised learning approach instead of a Classical discrimination approach based on subjective geological observations or empirical relationships between permeability porosity data.
Nanomaterials in Upstream Oil and Gas Technologies – Review & Latest AdvancesIncludes Credits
This webinar provides a brief overview of the applications of nanoparticles as they relate to upstream oil and gas and evaluates where the current state-of-the-art is in high performance oil well construction, production enhancement and reservoir management materials.
Enhanced Production Through Surface Facilities Sand ManagementIncludes Credits
Presented by Dr. Hank Rawlins
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