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Integrated Reservoir Modeling – Challenges and Solutions (Evening Session)

Integrated reservoir modeling involves integration of geological, geophysical and engineering data to develop a comprehensive reservoir description. An appropriate application of the process involves several challenges. These include: scale and resolution of various data sources, quality and information content of information, qualitative observations and solutions of inverse models. The presentation will discuss various methods of overcoming these challenges. Through series of case studies, a work flow process will be discussed which will allow the development of multiple, history matched, reservoir descriptions which can quantify uncertainties in future performance. The proposed work flow is practical; at the same time, will overcome the drawbacks of conventional approaches.

Dr. Mohan Kelkar

Williams Endowed Professor and Chairman of Petroleum Engineering Department

Dr. Mohan Kelkar is Williams Endowed Professor and Chairman of Petroleum Engineering Department at the University of Tulsa. His primary research interest is in reservoir characterization and integrated reservoir modeling. He has worked with various oil companies and government agencies in developing practical solutions to integration problems. As a consultant, he is also involved in many reservoir studies which involve integration of various sources of data. He is the author of a best-seller “Applied Geostatistics for Reservoir Characterization," published by SPE. In addition, he has published numerous papers in various SPE publications.

Dr. Kelkar was an SPE Distinguished Lecturer for the 2007-08 lecture season.

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Recorded 12/02/2014
Recorded 12/02/2014 60 minutes