Linsel, A. ; Greb, M. D. ; Bär, K. ; Hornung, Jens ; Hinderer, Matthias (2018)
Bridging Information Gaps in Reservoir Studies – Archiving and Retrieving Data With Relational Database Management Systems.
2018 AAPG Annual Convention and Exhibition. Salt Lake City (20.05.2018-23.05.2018)
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Kurzbeschreibung (Abstract)

Archiving large amounts of geoscientific data from reservoir studies in a permanent yet accessible manner can be expensive and time-consuming. Access to relevant digital geoscience data is however increasingly important to describe the complex relationships encountered in reservoir characterization and modeling within the energy industry and related fields of research. Hereby, disparate data from different geoscientific disciplines, scales of investigation and various sources must be queried, compiled, and validated before populating numerical reservoir models.

To enable a centralized data archive for reservoir studies and to ensure sophisticated connections between geoscientific disciplines, the database application APIRS (Archiving and Providing Information for Reservoir Studies) has been developed with a Relational Database Management System. The purpose of APIRS is the expeditious input and output of complex geoscientific data in a user-friendly client–server model interface. While data management in reservoir characterization is often performed via spreadsheet applications, APIRS saves time, users need to load, inquire and sort single, unconnected spreadsheets. Data input can be done either manually or by spreadsheet file import. Hereby, APIRS automatically links imported data to relating geological features.

APIRS enables field geologists and petrophysicists to enter multidimensional types of directional data from field surveys, drilling campaigns, laboratory information systems, and 2D/3D geological models. In addition, reservoir geologists can conduct common workflows like creating various types of sections (stratigraphic, sedimentological) and defining facies associations directly within the application. For further analysis, interoperability to other software is provided via Open Database Connectivity. Working on the entire scale of reservoir characterization, APIRS contributes to solving problems in computational reservoir up- and downscaling through facilitating access to highly complex and disparate data.

As a case study, outcrop analogue data for a deep geothermal reservoir from the northern Upper Rhine Graben in Germany has been acquired and processed with APIRS. For this example, data is derived from sedimentology (lithofacies analysis), petrophysics (field and laboratory measurements), and 2D/3D models. By this contribution, the advantages of extensively linked geoscientific data in reservoir characterization are visualized.

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