History Matching and Performance Prediction of Naturally Fractured Petroleum Reservoir Based on the Recovery Curve Method, Ph.D. Dissertation Sharif University of Technology ; Massihi, Mohsen (Supervisor) ; Ghazanfari, Mohammad Hossein (Supervisor) ; Heinemann, Zoltan (Co-Advisor)
Abstract
The discrete fracture network and continuous fracture network are among the most widely used methods to model naturally fractured reservoirs. Each method faces particular limitations. The recently introduced recovery curve method (RCM) is believed to meet the limitations of the common methods. In the RCM the recovery curves are used to more realistically describe matrix-fracture interactions. It is necessary to present appropriate solutions to apply the RCM in the real fileds and also to evaluate it based on the historical production data. In this work at first, the basics of the RCM are presented then with a simple column model this method is validated. Then in a column model and a field...
Cataloging briefHistory Matching and Performance Prediction of Naturally Fractured Petroleum Reservoir Based on the Recovery Curve Method, Ph.D. Dissertation Sharif University of Technology ; Massihi, Mohsen (Supervisor) ; Ghazanfari, Mohammad Hossein (Supervisor) ; Heinemann, Zoltan (Co-Advisor)
Abstract
The discrete fracture network and continuous fracture network are among the most widely used methods to model naturally fractured reservoirs. Each method faces particular limitations. The recently introduced recovery curve method (RCM) is believed to meet the limitations of the common methods. In the RCM the recovery curves are used to more realistically describe matrix-fracture interactions. It is necessary to present appropriate solutions to apply the RCM in the real fileds and also to evaluate it based on the historical production data. In this work at first, the basics of the RCM are presented then with a simple column model this method is validated. Then in a column model and a field...
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