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1.WIFI SSID:SparkAISummit | Password: UnifiedAnalytics
2.Unifying Streaming and Historical Data for Real- Time Performance Reporting Daniel Antonio, Halliburton #UnifiedAnalytics #SparkAISummit © 2019 Halliburton. All Rights Reserved.
3. Performance Data Expectations
4. Performance Data Expectations Evidence Utilized to Make Decisions
5.Oil and Gas Data Highly variable time-series data Large data sets per well Millions of rows Thousands of columns Difficult to normalize and compare Geological factors Equipment factors Operational factors
6.Business Need: Quickly Compare Current Operations with Historic Data ? Historic Operational Data Real-Time Sample Data
7. Solution Workflow Data Visualization Data Data Communicating Collection and Transformation Results Import Modeling SPE-195023-MS • Using Hypothesis Testing to Evaluate Key Performance Indicators in Real Time: an Edge Computing Use Case • P. Kowalchuk
8.Analytics Process for Modeling Real-Time Data Evaluate Raw Data Bootstrap with Apache Spark™ Hypothesis Testing 10x Reduction in Bootstrap process time
9. Solution Workflow Data Visualization Data Collection Data Communicating and Import Transformation Results Modeling SPE-195023-MS • Using Hypothesis Testing to Evaluate Key Performance Indicators in Real Time: an Edge Computing Use Case • P. Kowalchuk
10.Analytics Use Case Development Process Ingest Storage Transformation Usage Automated File Transfer Data Available for Consumption Custom Analysis and Compute Self-Serve Analytics Data Governance and Organization • Role-based access controls • Use case playbook • Scripts available for future use cases
11.Results Proven viability for bringing distributed computing resources into a real-time environment Once models are generated, usage at the edge empowers decision makers Provides unbiased view of data Project details available in Society of Petroleum Engineers paper SPE-195023-MS
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