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Gestionando y sincronizando la información de más de 35.000 pozos

By: Language: Español Publication details: 2018Description: 16 p. ; 217-233Subject(s): DDC classification:
  • 068.82 553.28 C62 2018 0015647
Online resources: Summary: 160 rigs and about 200 crews or teams register daily what happens on more than 8,700 wells per year: about 20,000 drilling, completion, workover, intervention and abandonment events with more than 80,000 daily reports and 200,000 detail reports determine a complex scenario when managing and synchronizing Well life cycle information to be exploited throughout the company. More than 40 interfaces move this information between the transactional Well Operations Database and several systems.On the digital era, where data sciences are a fundamental part of our organizations, where big data and analytical solutions are on the agenda of everyone on decision-making positions, managing an "acceptable" data quality becomes a whole challenge.Best practices, criteria unification, process management, standardization and team work become indispensable tools used by the IT teams that actively work on these projects and in the maintenance of the deployed solutions.
Item type: Congresos (trabajos presentados) List(s) this item appears in: Conexplo 2018
Holdings
Current library Call number Status Barcode
IAPG-Colección 068.82 553.28 C62 2018 0015647 (Browse shelf(Opens below)) Not for loan 200065256

160 rigs and about 200 crews or teams register daily what happens on more than 8,700 wells per year: about 20,000 drilling, completion, workover, intervention and abandonment events with more than 80,000 daily reports and 200,000 detail reports determine a complex scenario when managing and synchronizing Well life cycle information to be exploited throughout the company. More than 40 interfaces move this information between the transactional Well Operations Database and several systems.On the digital era, where data sciences are a fundamental part of our organizations, where big data and analytical solutions are on the agenda of everyone on decision-making positions, managing an "acceptable" data quality becomes a whole challenge.Best practices, criteria unification, process management, standardization and team work become indispensable tools used by the IT teams that actively work on these projects and in the maintenance of the deployed solutions.



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