A Multivendor Data-Exchange Format To Support Digital Oilfields

Weltevrede, Ben; Foreman, Rick; Morneau, R.A.; Rugland, Bjoern; Foreman, John T.; Vries, Sjoerd de; Little, T.; Ormerod, Louis; Doniger, A.

doi:10.2523/99707-ms

Cited by 4 publications

(2 citation statements)

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“…This XML based language (RSML -Reservoir Simulation Markup Language, www.rsml.org) will describe input and output information of different types of reservoir simulators. It is significant that there are many XML based standards in oil and gas industry [2]. Note that RSML does not conflict and does not compete with current standards, but supplements with it.…”

Section: Live Model Brings New Ideasmentioning

confidence: 99%

Next Step of Modeling Technologies: Live Model

Gladkov¹,

Kondakov²,

Zakirova³

2008

All Days

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Many experts admit a big gap between reservoir simulation and daily management of oil and gas fields. Because only a limited number of specialists can use the results of modeling and models get out of date quickly. The necessity to reduce access and update time has driven to development of a Live Model concept. It will reduce the gap between modeling and practical oil and gas field management.The targets of Live Model concept are:• use models as interactive means of teaching;• make models available to everyone, everywhere, anytime;• build updating and monitoring tools for models. In accordance with Live Model concept we developed web-system which enables to perform model monitoring and analysis of reservoir simulation results. Using this tool any specialist by means of a web-browser can do the following:• make analysis of dynamics well data;• make maps, streamlines visualization;• estimate the quality of the models history matching;• create and calculate a simple model. This web-system can act as an integral part of corporate information-engineering portal. Then we have opportunity to use dynamic production data, which is stored in corporate database, and automatically update Live Models. The interaction of web-system for models monitoring and analysis with the corporate database and models accessibility helps the oil and gas companies to use modeling results in the process of decision-making more efficiently. Another crucial factor is the opportunity to employ Live Models as training aids, which significantly reduces learning curve and increases the quality of training.

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Section: Live Model Brings New Ideasmentioning

confidence: 99%

Next Step of Modeling Technologies: Live Model

Gladkov¹,

Kondakov²,

Zakirova³

2008

All Days

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“…Many key challenges in developing a smart oilfield have been identified, such as real-time asset management [6], data exchange format [7], and implementation on a real oilfield asset [8].…”

Section: Related Workmentioning

confidence: 99%

Workflow instance detection: Toward a knowledge capture methodology for smart oilfields

Sun

Prasanna

Bakshi

et al. 2008

2008 IEEE International Conference on Information Reuse and Integration

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A system that captures knowledge from experienced users is of great interest in the oil industry. An important source of knowledge is application logs that record user activities. However, most of the log files are sequential records of pre-defined low level actions. It is often inconvenient or even impossible for humans to view and obtain useful information from these log entries. Also, the heterogeneity of log data in terms of syntax and granularity makes it challenging to extract the underlying knowledge from log files. In this paper, we propose a semantically rich workflow model to capture the semantics of user activities in a hierarchical structure. The mapping from low level log entries to semantic level workflow components enables automatic aggregation of log entries and their high level representation. We model and analyze two cases from the petroleum engineering domain in detail. We also present an algorithm that detects workflow instances from log files. Experimental results show that the detection algorithm is efficient and scalable.

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