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PETROMAKS-Maksimal utnyttelse av petroleumsreserver

Quantitative interpretation of 4D seismic data for improved reservoir management

Tildelt: kr 1,5 mill.

Prediction of how a hydrocarbon reservoir is being drained is often based on a numerical flow simulation model. 3-D seismic surveying is the most efficient technique to obtain reservoir information between wells. If seismic acquisition is repeated severa l times over the life of a field, it is possible to interpret seismic changes in terms of production effects and map areas of the reservoir that have been drained or areas containing by-passed pockets of hydrocarbon. A number of recent case studies (Duri, Statfjord, Gullfaks, Draugen and Oseberg Fields) show that this qualitative interpretation approach (i.e., discrimination between drained and undrained areas) has proven to be of significant commercial value. In the 4DQI project, the aim is to extend the qualitative approach into a quantitative interpretation. This means that we wish to estimate changes in pay thickness, discriminate between various production effects such as changes in pressure versus fluid saturation, quantify the amount of remaining h ydrocarbon reserves and assess the uncertainty in these quantitative estimates. 4DQI subprojects: 1.Develop a stochastic 4-D inversion method to estimate changes in elastic properties such as P-wave and S-wave velocities from pre-stack, 4-D seismic dat a. 2.Develop a petrophysical stochastic inversion method, cascaded with the first inversion that will convert changes in elastic properties to changes in dynamic properties, such as reservoir pressure and hydrocarbon saturation. 3.Develop techniques for quantifying the uncertainties in predicting changes in dynamic reservoir properties. 4.Develop specialized co-visualization techniques and geostatistical spatio-temporal analysis tools for calibrating time-lapse seismic attributes with saturation and pre ssure images calculated by flow simulation. 5.Test the 4DQI workflow using real 4-D field examples. The 4DQI project will involve methodology development, software prototyping and workflow testing using

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PETROMAKS-Maksimal utnyttelse av petroleumsreserver