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Subsurface modeling workflows are complex, data intensive, and iterative, requiring many different software packages to repeatedly exchange data. Improving the speed and accuracy of data exchange in model development can improve the speed, accuracy, and reliability of analyzing these models, ultimately supporting better decisions for asset development and economics over the life of a field. RESQML is an XML/HDF5-based, data-exchange specification that allows data to be transferred efficiently between the many different software packages used in subsurface modeling workflows. Key Version 2 enhancements include: a richer, more detailed RESQML data model with more domain data-objects (e.g., wells), and the ability to group related data-objects (e.g., faults, horizons, grids, etc.) and exchange them as a complete model. While these enhancements support more accurate and reliable models, they also presented challenges that were solved using new technological approaches new to RESQML. To design the richer yet more complex data model, the RESQML Special Interest Group (SIG) has moved from a hierarchical view of the data model to an entity-relationship view. The SIG is now using UML modeling tools to visualize the data model and produce both class and instance diagrams. The class diagrams are then used to generate XML schema definitions in a more automated and consistent manner. The Open Packaging Conventions_a container-file technology that stores a combination of files and their relationships to form a single entity for transfer in one compressed (ZIP) document format_are being used to group together independent data-objects (files) as a complete model. This paper presents an overview of RESQML Version 2 enhancements and capabilities, and explains how these new technology solutions are being used and their impact on subsurface modeling, the design process, future maintenance, and in helping software developers integrate RESQML into their own products.

The present paper presents preliminary results obtained through a new seismic interpretation methodology based on cognitive vision. This methodology consists in associating to the geological objects to be detected, horizons or faults, visual characteristics that allow to easily identify and correlate them on seismic images. The results presented show that the method is performing well and is easy to be integrated in Shared Earth Modeling workflows.

It is now possible to integrate WITSML rig-issued well data, such as trajectory and associated raw measurements, and well analysis results stored in other data formats, including PPDM, into the RESQML set of data-objects that comprise the description of a reservoir or "Earth Model". It is now also possible to update the model as it is refined, through the life of a field.To develop this integration, the RESQML and WITSML Special Interest Groups (SIG) of Energistics formed a Wells subgroup for the current RESQML version 2 (V2) development cycle. The sub-group is focusing on using the current WITSML V1.4.1.1 data model to abstract a simplified WITSML well consisting of three fundamental objects: its trajectory, either in depth and/or in time; a"WellboreFrame", which is used to reference the WITSML log data; and its extension to reference WITSML marker data. These objects reference WITSML but now exist in the RESQML data model, which allows them to access existing RESQML capabilities. Through this unified vision, the RESQML V2 data standard will allow drillers and production engineers to seamlessly access reservoir characterization and simulation results, and allow the reservoir engineers to benefit from the entire range of well-based drilling, petrophysical, and production data within an integrated team. This paper presents how the RESQML V2 design allows association of WITSML and RESQML dedicated objects, and how to establish the relationships between these new objects and the structural, stratigraphic, and reservoir elements inside a RESQML model. In part, this integration has been enabled by the new Energistics Open Packaging Conventions (EPC), which allows multiple data standards (not only RESQML and WITSML) to be recognized and managed consistently.This integration provides the foundation for future RESQML work, including plans to integrate the WITSML Completion dataobject, and seismic data (represented in either time or space), both in the reservoir and at the wells.

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