25 Big Data & Risk Management
Tuesday, 4 October
362 A-C
Technical Session
To stay competitive, operators and service companies must find ways to leverage big data to improve drilling performance and reduce risk in their operations. In this session we will explore the impact big data can have on both the planning and execution phases of drilling a well. On the execution side, our speakers will show how surface and downhole data during the drilling phase can enable better real-time decisions in areas such as wellbore placement, bit performance and dysfunction recognition.
Session Chairperson(s)
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0830-0855 210385Building A Bulletproof System For Automatic MWD Survey Processing
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0855-0920 210244Monitoring Hole-cleaning During Drilling Operations: Case Studies With A Real-time Transient Model
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0920-0945 210418Electronic Data Captured At Bit Is Utilized To Improve Drilling Practices And Performance In Laterals
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0945-1010 210368Machine And Process Automation Are Improving Personnel Safety And Drilling Performance
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1040-1105 210271Drilling Performance Contract: An Evolution In The Partnership Between Operator And Rig Contractor
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1105-1130 210170Optimizing Drill Bit Design Iteration With A New Sensor System Developed For Large Scale Deployment And Automated Analysis Of Drilling Dysfunctions
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1130-1155 209970Leveraging SME Knowledge With Big Data Multiply the Value of Both
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Alternate 209978Numerical Simulation And Field Verification Of The Cutting Efficiency Of 3D-Shaped PDC Cutters