Integrated Reservoir Characterization and Modeling
Mickaele Le Ravalec, Brigitte Doligez and Olivier Lerat
The purpose of reservoir characterization and modeling is the building of models representative of underground geological formations, which are then used to predict and optimize oil and gas production. An obvious statement is that the more data-consistent the models, the sounder the predictions. This book shows how to integrate data from a variety of sources into reservoir models.
The first chapter introduces basic concepts to deal with uncertainty when estimating oil and gas reserves. The second one presents various geostatistical techniques used to generate detailed reservoir or geological models. A special attention is paid to the integration of static data such as measurements on cores, logs, seismic, etc., in the third chapter. Distinct examples are presented to better illustrate the current practices. The fourth chapter deals with the integration of dynamic data such as production or 4D-seismic data, one of the chief concerns of reservoir engineers. It describes the main steps of multidisciplinary workflows or modern history-matching techniques to perform dynamic data integration. Due to the lack of data, this cannot be decoupled from the estimation of uncertainties. The last chapter shows how to reconcile static and dynamic data. In other words, how to perform history-matching while preserving the interpretation and integration of geological and geophysical data?