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Database and detailed 3D geological model for CO2 underground storage in the beŁchatów region, a case study of the Budziszewice structure

Biuletyn PIG,2010, 439: 53–58

Selection of geological formations and structures for safe underground storage of CO2 as well as development of a site monitoring program required construction of a database and creation of a model of geological structures that are potential reservoirs of CO2. Archive and newly interpreted data were input into a database suitable for the requirements of the 3D modelling software. The database resources allowed a construction of static, 3D models composed of the following: - structural model - created based on nine seismic sections in time domain; five horizons, corresponding with tops of Toarcian, Pliensbachian, Sinemurian, Keuper and Muschelkalk were built as well as surfaces of four faults located in the southern part of the region. The horizons and faults were constructed by applying the DSI algorithm; - stratigraphic model - contains five stratigraphic sequences: upper Toarcian, lower Toarcian, Pliensbachian, Hettangian-Sinemurian, Rhaetian - divided into a variable number of proportional layers; - litological model - created based on litological curves in the Budziszewice IG 1, Buków 1 and Zaosie 2 boreholes; sequentional stochastic algorythm called "Sequential Indicator Stimulation" has been used to construct it; - 3D model of reservoir parameters distribution - stochastic conditional estimation technique "Sequential Gaussian Simulation" and its modification "Gaussian Random Function Simulation", adapted to fast calculation of large 3D models, were applied for the development of the volume of shale model (VSH) and effective porosity (Pe) model. Methodology of the construction of static 3D models developed by the team connects digital computation tasks with the knowledge of usage of the 3D modelling software. Experience gained during the work upon the informatics system and construction of the 3D model of the Budziszewice structure will greatly aid further potential CO2 storage site selection and appraisal.