Model-Based Framework for Oil Production Forecasting and Optimization: A Case Study in Integrated Asset Management

A Service-Oriented Data-Composition Architecture for Integrated Asset Management

“…The front-end modeling environment provided to the end user allows definition and modification of the asset model, and also contains a mechanism to allow the invocation of one or more integrated tools that act on different parts of the asset model. A more detailed description of this approach appears in [15] and its application to an integrated forecasting and optimization workflow is described in [20].…”

“…We discuss the graphical modeling front-end, the data composition language, and the functionality of the IAM compiler that orchestrates the underlying workflow execution based on the users' specification. The design of the software architecture is influenced by the learnings from applying the model-based design methodology to the oil production forecasting use case [20]. A prototype of the data composition framework has been implemented, and the design and evaluation of this data composition framework for a real world use case is planned.…”

ModelML: a Markup Language for Automatic Model Synthesis

“…In our prototype toolkit for IAM [15], the data set that describes an oilfield asset is stored in XML files. Therefore, we use XSL to transform XML data sources into ModelML representation.…”

“…In this work and in [15], we use the Generic Modeling Environment (GME) [7] to synthesize a domain-specific modeling interface for the models defined in the previous section. GME provides a graphical meta-modeling language, which is called MetaGME and based on the UML class diagram notation and OCL constraints, to formally define the modeling paradigm.…”

“…In [15], we designed and implemented a prototype toolkit and the modeling paradigm for IAM. One major step in using our toolkit is asset modeling.…”