| Title | Towards the Digital Data Model for Geothermal Databases: Technology Trends, Fundamental Concepts, Case Study of Java Island, and Preliminary Data Model |
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| Authors | Lucas D. Setijadji, Koichiro Watanabe, Rina Wahyuningsih, and Djoko Wintolo |
| Year | 2005 |
| Conference | World Geothermal Congress |
| Keywords | Geothermal datasets, data model, geographic information system, relational database management system, open and interoperable |
| Abstract | The conceptual model and physical implementation of a digital data model for geothermal databases are investigated. The system requirements are that the system should be capable to manage various types of geothermal datasets with their complex behaviors in respect to the 3D nature of our earth. It utilizes the state-of-the-art geoinformation technology trends and conforms to database projects among other geoscience fields. This quest comes out with a core system that integrates an open platform geographic information system (GIS) and a relational database management system (RDBMS). The integration of a GIS and RDBMS allows complex and spatially enabling databases, in which interwoven contents of a database can be interrogated visually. Yet this system is open and highly interoperable with other systems; these are keys for easiness of information sharing among geoscience fields and towards the realization of an integrated geologic analysis system (i.e., integration of data caption, management, analysis-modeling process and visualization into single workflow). We use the ArcGIS package and its geodatabase data model from the Environmental Systems Research Institute, Inc. (ESRI) for the physical implementation of data model. Geothermal events are modeled as Concept, Occurrence, and Description. The ESRI Geology Data Model and North American Data Model for digital geologic maps are adapted as the starting point. The case study is conducted in the Java island, Indonesia. Different project circumstances with different data types are dealt with, including survey datasets from a geothermal prospect, a borehole dataset from a producing geothermal field, and an island-scale geothermal compilation project. The model is proven workable and many intelligent GIS tools are applicable for geothermal applications. Topology rules are used for setting constraints on data contents, relationship classes for creating networks among tables, and the linear referencing system for modeling borehole data. Database contents are successfully interrogated using a map interface, from which we conduct further analysis and produce visualization. A preliminary digital data model for geothermal is finally proposed and some future developments are suggested. |