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Addressing Log Data Overload: Solutions in Property Classification

The challenge of log data overload persists, especially after Schlumberger's acquisition of log data. With 43,750 defined log channels and 24,484 log parameters, the need for effective management and interpretation has intensified. This year has seen a 10% growth, necessitating more flexible interpreted log data processes that cater to diverse workflows. Transitioning from measuring to monitoring requires improved file exchanges and a clear strategy for Property Classification. Immediate actions include maintaining submissions, responding to requests, and enhancing information access for better decision-making.

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Addressing Log Data Overload: Solutions in Property Classification

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  1. PWLS Property Classification Eric Hatleberg

  2. What Brings Us Here • Challenge of log data overload continues • Schlumberger acquisition log data • Log channels 43,750 codes defined -- A to ZWS2 • Log parameters 24,484 codes defined -- A to ZYHP • 10% growth in the past year • Interpreted log data processes are more flexible and cover a broader range of workflows then in the past • Going from measuring to monitoring • Easy file exchange

  3. Property Classification Provides a Solution Curve Property Classification RHOB ROSA Bulk_Density PFDS Fluid_Density ILD Density Deep_Induction IDER Resistivity Medium_Induction ILM Gamma_Ray Gamma_Ray IMER Gamma_Ray_Minus_Uranium GR HGR CGR Parent Property Class Property Class Curve Name

  4. Next Steps • Immediate Actions • Maintain Submissions • Primary goal for today • Respond to requests • Forward Looking • Provide more access to information • Revisit RP66

  5. Questions?

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