| Naturally fractured reservoirs (NFR) have been receiving more attention than ever since the beginning of the last decade due to various reasons. The current understanding is not sufficient to achieve a favorable recovery factor due to the complexity associated with the fracture characterization and the dynamic behavior of the fractured system. The majority of the fractured reservoirs are developed. Therefore, before proceeding into secondary or possibly tertiary recovery processes a thorough understanding must be reached to avoid undesirable results. The huge reserve volume present in fractured oil and gas reservoirs motivate engineers, researchers, and geoscientists to exert additional efforts to economically exploit these reserves. The fact that they are widely distributed and found in many countries around the globe in almost every lithology is another justification for more interest.;Fracture characterization is the first building block in any NFR study. Therefore, the primary focus of this study is to show the effectiveness of data integration of various dynamic and static data. The study considers a NFR field which consists of two reservoirs that are hydraulically communicating. The reservoirs have prolific porosity and permeability separated by a non reservoir formation. The field well test data was analyzed to identify fractures, and a simulation model was constructed to predict the type of response that would be observed in communicating reservoirs. A unique shape on the derivative was seen due to the communication through fractures. In addition, this study demonstrates the impact of a well, several reservoirs, and fracture attributes on the derivative. |
