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    Du er her:Home » Sharing subsurface data has never been easier!
    Olje og gass

    Sharing subsurface data has never been easier!

    Av Redaksjonenmars 28, 2023
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    The OSDU data platform combined with well-established applications with machine learning capabilities and other in-cloud technologies streamlines collaboration for a cross-functional subsurface team of geoscientists.

    The SLB Innovation Factori in Oslo. Photo: SLB

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    For decades, domain subsurface experts such as petrophysicists, geologists, and geophysicists, have done their wellbore data management manually. This involved time-consuming and repetitive tasks such as importing and exporting, cleaning and harmonizing wellbore data, splicing and depth-shifting logs, and picking well markers.

    This siloed approach to data management has resulted in duplications and multiple versions of well data being used in different subsurface legacy tools. It has also created barriers and bottlenecks that hinder effective collaboration and data sharing among the subsurface team members.

    Needless to say, this traditional way of working has been inefficient and has reduced the potential for productivity gains.

    Enabling seamless digital cooperation

    At the upcoming DIGEX 2023 conference, Innovation Manager Nils Kjetil Vestmoen Nilsen at SLB will showcase how the OSDU (Open Subsurface Data Universe) platform, combined with well-established legacy subsurface tools, cloud-native technologies, and machine learning, can transform traditional geoscience workflows.

    OSDU is an open-source, standards-based, and technology-agnostic data platform developed and currently used by more than 200 companies. The platform can store and process all relevant subsurface data, and its newly established data definitions and conventions make it easier to clean, harmonize, share, quality control, and analyze data across the different subsurface teams and across different legacy tools.

    Source: SLB

    Nilsen will demonstrate these end-to-end workflows involving different data types, such as wellbore data, geological markers, seismic data, and geological regular surfaces.

    A petrophysicist can load and validate wellbore data from the OSDU data platform during these workflows. The quality-checked data is then transferred to the platform using standardized schemas for well headers, trajectories, logs, and markers.

    A geoscientist can then use advanced machine learning algorithms to create composite logs, perform quality control and marker picking, and release the edited data on the platform.

    Both domain experts will then easily be aware of the new and edited quality-checked OSDU wellbore data available, consume them seamlessly into their respective legacy geoscience applications without any further quality-check steps and continue further subsurface evaluations and analysis, resulting in productivity gain for each user.

    By eliminating time-consuming and tedious data management tasks, the digital transformation of end-user workflows allows the team to focus on their core domain expertise.

    Do you want to hear more about enabling seamless digital workflows? Or discover how energy companies have implemented OSDU through cross-vendors-client collaboration?

    Attend the DIGEX 2023 conference in Oslo (Gardermoen) on March 28-30th.

    Source: SLB

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