Reservoir characterization involves various studies which comprises assimilation and interpretation of representative reservoir rock and fluid data for a simulation model under varying recovery mechanisms. The main challenge in reservoir simulation is the task of simplifying complex reservoir situations while ensuring a high level of data utilization to obtain a unique solution for history matching. Retaining geologic continuity in the simulation model is necessary to ensure the predictive capability of the reservoir model. In this study, the systematic assignment of reservoir properties with optimal utilization of very limited data has ensured that the fluid movement through the heterogeneous reservoir rock in a mature field is appropriately established. The key towards such a systematic assignment is classification of pore attributes. Pore attributes, which occur due to variations in depositional environments and diagenetic processes in a reservoir, have been identified through interpretation of the petrophysical data and the development of core- well log relationships in a consistent manner. Electrofacies along with petrophysical classification methods have been applied to quantify heterogeneity found in carbonate and sandstone reservoirs. It is observed that the electrofacies derived from well logs represent lithofacies found in the core measurements. The characterization approach has been shown to provide reliable accuracy of petrophysical property prediction when comparison was made with core measurements. These optimum correlation models were extended to uncored wells to describe the reservoir simulation model. A reservoir simulation model, built using this approach, provides a rapid means for history matching between the simulated results and the observed productions at the field while retaining the geological continuity. The integrated approach and structured methodology developed in this study resulted in a reservoir simulation model with adequate resolution of data that simulated the production history with sufficient realism, without necessity for alternations in petrophysical properties.
|Advisor:||Willhite, G. Paul|
|Commitee:||Doveton, John H., Vossoughi, Shapour|
|School:||University of Kansas|
|Department:||Chemical & Petroleum Engineering|
|School Location:||United States -- Kansas|
|Source:||MAI 51/02M(E), Masters Abstracts International|
|Subjects:||Geology, Statistics, Petroleum Geology, Petroleum engineering|
|Keywords:||Core-log interpretations, Integrated approach, Petrophysics, Reservoir characterization, Reservoir simulation, Well logs|
Copyright in each Dissertation and Thesis is retained by the author. All Rights Reserved
The supplemental file or files you are about to download were provided to ProQuest by the author as part of a
dissertation or thesis. The supplemental files are provided "AS IS" without warranty. ProQuest is not responsible for the
content, format or impact on the supplemental file(s) on our system. in some cases, the file type may be unknown or
may be a .exe file. We recommend caution as you open such files.
Copyright of the original materials contained in the supplemental file is retained by the author and your access to the
supplemental files is subject to the ProQuest Terms and Conditions of use.
Depending on the size of the file(s) you are downloading, the system may take some time to download them. Please be